From 80aaf751557aa15b4f565a4202bd421a8b72575b Mon Sep 17 00:00:00 2001 From: Elias Dabbas Date: Tue, 2 Apr 2024 17:46:12 +0300 Subject: [PATCH] Update various docstrings --- advertools/spider.py | 2 +- .../doctrees/advertools.ad_create.doctree | Bin 20040 -> 20894 bytes ...ols.code_recipes.spider_strategies.doctree | Bin 96915 -> 96911 bytes .../doctrees/advertools.extract.doctree | Bin 142980 -> 147856 bytes .../advertools.knowledge_graph.doctree | Bin 38822 -> 39993 bytes docs/_build/doctrees/advertools.logs.doctree | Bin 322228 -> 322275 bytes .../advertools.reverse_dns_lookup.doctree | Bin 37100 -> 37188 bytes .../doctrees/advertools.robotstxt.doctree | Bin 147102 -> 148698 bytes docs/_build/doctrees/advertools.serp.doctree | Bin 159571 -> 159571 bytes .../doctrees/advertools.sitemaps.doctree | Bin 172872 -> 172872 bytes .../_build/doctrees/advertools.spider.doctree | Bin 132222 -> 131979 bytes docs/_build/doctrees/environment.pickle | Bin 5375476 -> 5386506 bytes .../html/_modules/advertools/ad_create.html | 65 +- .../html/_modules/advertools/emoji.html | 3 +- .../html/_modules/advertools/extract.html | 325 ++++++--- .../_modules/advertools/knowledge_graph.html | 95 +-- .../_build/html/_modules/advertools/logs.html | 87 +-- .../advertools/reverse_dns_lookup.html | 15 +- .../html/_modules/advertools/robotstxt.html | 82 ++- .../_build/html/_modules/advertools/serp.html | 4 +- .../html/_modules/advertools/sitemaps.html | 12 +- .../html/_modules/advertools/spider.html | 658 ++++++++++-------- .../html/_modules/advertools/twitter.html | 531 ++++++++------ docs/_build/html/advertools.ad_create.html | 52 +- ...rtools.code_recipes.spider_strategies.html | 41 +- docs/_build/html/advertools.extract.html | 107 ++- .../html/advertools.knowledge_graph.html | 49 +- docs/_build/html/advertools.logs.html | 67 +- .../html/advertools.reverse_dns_lookup.html | 13 +- docs/_build/html/advertools.robotstxt.html | 89 ++- docs/_build/html/advertools.serp.html | 2 +- docs/_build/html/advertools.sitemaps.html | 2 +- docs/_build/html/advertools.spider.html | 139 ++-- docs/_build/html/searchindex.js | 2 +- 34 files changed, 1472 insertions(+), 970 deletions(-) diff --git a/advertools/spider.py b/advertools/spider.py index fea260d7..925a0e7f 100644 --- a/advertools/spider.py +++ b/advertools/spider.py @@ -907,7 +907,7 @@ def crawl( custom_settings=None, ): """ - Crawl a website of a list of URLs based on the supplied options. + Crawl a website or a list of URLs based on the supplied options. 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Source code for advertools.ad_create

             '5-star Hotels In Portugal']
 
 """
+
 import string
 
 
@@ -191,41 +192,61 @@ 
Source code for advertools.ad_create
 def ad_create(template, replacements, fallback, max_len=30, capitalize=True):
     """Insert each of the replacement strings in its place within template.
 
-    :param str template: a string format template, using braces e.g. "Get the
-                         latest {} today."
-    :param list replacements: replacement strings to be inserted in
-                              :attr:`template`
-    :param str fallback: the string to insert in :attr:`template` in case
-                         :attr:`replacement` is longer than :attr:`max_len`
-    :param int max_len: the maximum allowed length of the full string
-    :param bool capitalize: whether or not to capitalize words in the result
-    :returns formatted: list of strings
-
-    >>> ad_create("Let\'s count {}", ['one', 'two', 'three'], 'one', 20)
+    Parameters
+    ----------
+    template : str
+      A string format template, using braces e.g. "Get the latest {} today."
+    replacements : list
+      Replacement strings to be inserted in :attr:`template`.
+    fallback : str
+      The string to insert in :attr:`template` in case :attr:`replacement` is longer
+      than :attr:`max_len`.
+    max_len : int
+      The maximum allowed length of the full string.
+    capitalize : bool
+      Whether or not to capitalize words in the result.
+
+    Returns
+    -------
+    formatted : list
+      List of ads (strings).
+
+    Examples
+    --------
+    >>> ad_create("Let's count {}", ["one", "two", "three"], "one", 20)
     ["Let's Count One", "Let's Count Two", "Let's Count Three"]
 
-    >>> ad_create(template='My favorite car is {}',
-    ...           replacements=['Toyota', 'BMW', 'Mercedes', 'Lamborghini'],
-    ...           fallback='great',
-    ...           max_len=28)
+    >>> ad_create(
+    ...     template="My favorite car is {}",
+    ...     replacements=["Toyota", "BMW", "Mercedes", "Lamborghini"],
+    ...     fallback="great",
+    ...     max_len=28,
+    ... )
     ['My Favorite Car Is Toyota', 'My Favorite Car Is Bmw',
     'My Favorite Car Is Mercedes', 'My Favorite Car Is Great']
 
-    >>> ad_create('KeEP cApITalization {}', ['As IS'],
-    ...           fallback='fallback', max_len=50, capitalize=False)
+    >>> ad_create(
+    ...     "KeEP cApITalization {}",
+    ...     ["As IS"],
+    ...     fallback="fallback",
+    ...     max_len=50,
+    ...     capitalize=False,
+    ... )
     ['KeEP cApITalization As IS']
 
-    >>> ad_create('This is very long and will produce and error',
-    ...           replacements=['something', 'long'], fallback='Very long',
-    ...           max_len=20)
+    >>> ad_create(
+    ...     "This is very long and will produce and error",
+    ...     replacements=["something", "long"],
+    ...     fallback="Very long",
+    ...     max_len=20,
+    ... )
     Traceback (most recent call last):
     File "<input>", line 1, in <module>
     File "<input>", line 26, in ad_create
     ValueError: template + fallback should be <= 20 chars
     """
     if len(template.format(fallback)) > max_len:
-        raise ValueError('template + fallback should be <= '
-                         + str(max_len) + ' chars')
+        raise ValueError("template + fallback should be <= " + str(max_len) + " chars")
     final_ad = []
     for rep in replacements:
         if len(template.format(rep)) <= max_len:
diff --git a/docs/_build/html/_modules/advertools/emoji.html b/docs/_build/html/_modules/advertools/emoji.html
index b7e81317..38a8a094 100644
--- a/docs/_build/html/_modules/advertools/emoji.html
+++ b/docs/_build/html/_modules/advertools/emoji.html
@@ -119,7 +119,8 @@
            

              
   
Source code for advertools.emoji
-"""
+# ruff: noqa: E501
+"""
 .. _emoji:
 
 Emoji: Extract, Analyze, and Get Insights
diff --git a/docs/_build/html/_modules/advertools/extract.html b/docs/_build/html/_modules/advertools/extract.html
index 34181955..399f7420 100644
--- a/docs/_build/html/_modules/advertools/extract.html
+++ b/docs/_build/html/_modules/advertools/extract.html
@@ -725,12 +725,20 @@ 
Source code for advertools.extract
 
     emoji_summary['top_emoji_sub_groups']
 
-"""
-__all__ = ['extract', 'extract_currency',
-           'extract_exclamations', 'extract_hashtags',
-           'extract_intense_words', 'extract_mentions', 'extract_numbers',
-           'extract_questions', 'extract_words', 'extract_urls'
-           ]
+"""  # noqa: E501
+
+__all__ = [
+    "extract",
+    "extract_currency",
+    "extract_exclamations",
+    "extract_hashtags",
+    "extract_intense_words",
+    "extract_mentions",
+    "extract_numbers",
+    "extract_questions",
+    "extract_words",
+    "extract_urls",
+]
 
 import re
 from collections import Counter
@@ -738,8 +746,17 @@ 
Source code for advertools.extract
 from urllib.parse import urlparse
 
 # from .emoji import EMOJI, EMOJI_ENTRIES
-from .regex import (CURRENCY, CURRENCY_RAW, EXCLAMATION, EXCLAMATION_MARK,
-                    HASHTAG, MENTION, QUESTION, QUESTION_MARK, URL)
+from .regex import (
+    CURRENCY,
+    CURRENCY_RAW,
+    EXCLAMATION,
+    EXCLAMATION_MARK,
+    HASHTAG,
+    MENTION,
+    QUESTION,
+    QUESTION_MARK,
+    URL,
+)
 
 
 

@@ -768,26 +785,25 @@ 
Source code for advertools.extract
     if isinstance(text_list, str):
         text_list = [text_list]
     if not extracted:
-        extracted = [regex.findall(text.lower())
-                     for text in text_list]
+        extracted = [regex.findall(text.lower()) for text in text_list]
     flat = [item for sublist in extracted for item in sublist]
 
     summary = {
-        key_name + 's': extracted,
-        key_name + 's' + '_flat': flat,
-        key_name + '_counts': [len(x) for x in extracted],
-        key_name + '_freq': sorted(Counter([len(i)
-                                            for i in extracted]).items(),
-                                   key=lambda x: x[0]),
-        'top_' + key_name + 's': sorted(Counter(flat).items(),
-                                        key=lambda x: x[1],
-                                        reverse=True),
-        'overview': {
-            'num_posts': len(text_list),
-            'num_' + key_name + 's': len(flat),
-            key_name + 's' + '_per_post': len(flat) / len(text_list),
-            'unique_' + key_name + 's': len(set(flat)),
-        }
+        key_name + "s": extracted,
+        key_name + "s" + "_flat": flat,
+        key_name + "_counts": [len(x) for x in extracted],
+        key_name + "_freq": sorted(
+            Counter([len(i) for i in extracted]).items(), key=lambda x: x[0]
+        ),
+        "top_" + key_name + "s": sorted(
+            Counter(flat).items(), key=lambda x: x[1], reverse=True
+        ),
+        "overview": {
+            "num_posts": len(text_list),
+            "num_" + key_name + "s": len(flat),
+            key_name + "s" + "_per_post": len(flat) / len(text_list),
+            "unique_" + key_name + "s": len(set(flat)),
+        },
     }
     return summary

 
@@ -801,13 +817,25 @@ 
Source code for advertools.extract
     Get a summary of the number of currency symbols, their frequency,
     the top ones, and more.
 
-    :param list text_list: A list of text strings.
-    :param int left_chars: The number of characters to extract, to the
-        left of the symbol when getting :attr:`surrounding_text`
-    :param int right_chars: The number of characters to extract, to the
-        left of the symbol when getting :attr:`surrounding_text`
-    :returns summary: A dictionary with various stats about currencies
-
+    Parameters
+    ----------
+    text_list : list
+      A list of text strings.
+    left_chars : int
+      The number of characters to extract, to the left of the symbol when getting
+      :attr:`surrounding_text`
+    right_chars : int
+      The number of characters to extract, to the left of the symbol when getting
+      :attr:`surrounding_text`
+
+    Returns
+    -------
+
+    summary : dict
+      A dictionary with various stats about currencies.
+
+    Examples
+    --------
     >>> posts = ['today ₿1 is around $4k', 'and ₿ in £ & €?', 'no idea']
     >>> currency_summary = extract_currency(posts)
     >>> currency_summary.keys()
@@ -859,15 +887,22 @@ 
Source code for advertools.extract
     'currency_symbols_per_post': 1.6666666666666667,
     'unique_currency_symbols': 4}
     """
-    summary = extract(text_list, CURRENCY, 'currency_symbol')
-    summary['currency_symbol_names'] = [[name(c).lower() for c in x] if x
-                                        else [] for x in
-                                        summary['currency_symbols']]
-    surrounding_text_regex = re.compile(r'.{0,' + str(left_chars) + '}' +
-                                        CURRENCY_RAW +
-                                        r'.{0,' + str(right_chars) + '}')
-    summary['surrounding_text'] = [surrounding_text_regex.findall(text)
-                                   for text in text_list]
+    summary = extract(text_list, CURRENCY, "currency_symbol")
+    summary["currency_symbol_names"] = [
+        [name(c).lower() for c in x] if x else [] for x in summary["currency_symbols"]
+    ]
+    surrounding_text_regex = re.compile(
+        r".{0,"
+        + str(left_chars)
+        + "}"
+        + CURRENCY_RAW
+        + r".{0,"
+        + str(right_chars)
+        + "}"
+    )
+    summary["surrounding_text"] = [
+        surrounding_text_regex.findall(text) for text in text_list
+    ]
     return summary

 
 
@@ -880,9 +915,16 @@ 
Source code for advertools.extract
     Get a summary of the number of exclamation marks, their frequency,
     the top ones, as well the exclamations written/said.
 
-    :param list text_list: A list of text strings.
-    :returns summary: A dictionary with various stats about exclamations
+    text_list : list
+      A list of text strings.
+
+    Returns
+    -------
+    summary : dict
+      A dictionary with various stats about exclamations.
 
+    Examples
+    --------
     >>> posts = ['Who are you!', 'What is this!', 'No exclamation here?']
     >>> exclamation_summary = extract_exclamations(posts)
     >>> exclamation_summary.keys()
@@ -970,12 +1012,11 @@ 
Source code for advertools.extract
     'exclamation_marks_per_post': 1.5,
     'unique_exclamation_marks': 4}
     """
-    summary = extract(text_list, EXCLAMATION_MARK, key_name='exclamation_mark')
-    summary['exclamation_mark_names'] = [[name(c).lower() for c in x] if x
-                                         else [] for x in
-                                         summary['exclamation_marks']]
-    summary['exclamation_text'] = [EXCLAMATION.findall(text)
-                                   for text in text_list]
+    summary = extract(text_list, EXCLAMATION_MARK, key_name="exclamation_mark")
+    summary["exclamation_mark_names"] = [
+        [name(c).lower() for c in x] if x else [] for x in summary["exclamation_marks"]
+    ]
+    summary["exclamation_text"] = [EXCLAMATION.findall(text) for text in text_list]
     return summary

 
 
@@ -988,9 +1029,16 @@ 
Source code for advertools.extract
     Get a summary of the number of hashtags, their frequency, the top
     ones, and more.
 
-    :param list text_list: A list of text strings.
-    :returns summary: A dictionary with various stats about hashtags
+    text_list : list
+      A list of text strings.
 
+    Returns
+    -------
+    summary : dict
+      A dictionary with various stats about hashtags.
+
+    Examples
+    --------
     >>> posts = ['i like #blue', 'i like #green and #blue', 'i like all']
     >>> hashtag_summary = extract_hashtags(posts)
     >>> hashtag_summary.keys()
@@ -1027,8 +1075,8 @@ 
Source code for advertools.extract
      'num_hashtags': 3,
      'hashtags_per_post': 1.0,
      'unique_hashtags': 2}
-     """
-    return extract(text_list, HASHTAG, 'hashtag')

+    """
+    return extract(text_list, HASHTAG, "hashtag")

 
 
 
@@ -1041,17 +1089,23 @@ 
Source code for advertools.extract
     words that have :attr:`min_reps` or more repetitions of characters.
     "I looooooveeee youuuuuuu", and "I haaatttteeee youuuuuu" are both intense.
 
-    :param list text_list: A text list from which to extract intense words
-    :param int min_reps: The number of times a character has to be repeated for
-                         the word to be considered intense.
-
-    :returns summary: A dictionary with various stats about intense words
+    Parameters
+    ----------
+    text_list : list
+      A text list from which to extract intense words.
+    min_reps : int
+      The number of times a character has to be repeated for the word to be considered
+      intense.
+
+    Returns
+    -------
+    summary : dict
+      A dictionary with various stats about intense words.
     """
-    regex = re.compile(r'(\S*)(\S)({}\S*)'.format((min_reps - 1) * r'\2'))
-    extracted = [[''.join(x) for x in regex.findall(text)]
-                 for text in text_list]
+    regex = re.compile(r"(\S*)(\S)({}\S*)".format((min_reps - 1) * r"\2"))
+    extracted = [["".join(x) for x in regex.findall(text)] for text in text_list]
 
-    return extract(text_list, regex, 'intense_word', extracted)

+    return extract(text_list, regex, "intense_word", extracted)

 
 
 
@@ -1063,9 +1117,18 @@ 
Source code for advertools.extract
     Get a summary of the number of mentions, their frequency, the top
     ones, and more.
 
-    :param list text_list: A list of text strings.
-    :returns summary: A dictionary with various stats about mentions
+    Parameters
+    ----------
+    text_list : list
+      A list of text strings.
+
+    Returns
+    -------
+    summary : dict
+      A dictionary with various stats about mentions.
 
+    Examples
+    --------
     >>> posts = ['hello @john and @jenny', 'hi there @john', 'good morning']
     >>> mention_summary = extract_mentions(posts)
     >>> mention_summary.keys()
@@ -1103,13 +1166,13 @@ 
Source code for advertools.extract
      'mentions_per_post': 1.0,
      'unique_mentions': 2}
     """
-    return extract(text_list, MENTION, 'mention')

+    return extract(text_list, MENTION, "mention")

 
 
 
 

 [docs]
-def extract_numbers(text_list, number_separators=('.', ',', '-')):
+def extract_numbers(text_list, number_separators=(".", ",", "-")):
     """Return a summary dictionary about numbers in ``text_list``, separated
     by any of ``number_separators``
 
@@ -1117,11 +1180,21 @@ 
Source code for advertools.extract
     ones, and more. Typically, numbers would contain separators to make them
     easier to read, so these are included by default, which you can modify.
 
-    :param list text_list: A list of text strings.
-    :param list(str) number_separators: A list of separators that you want
-        to be included as part of the extracted numbers.
-    :returns summary: A dictionary with various stats about the numbers
-
+    Parameters
+    ----------
+    text_list : list
+      A list of text strings.
+    number_separators : list
+      A list of separators that you want to be included as part of the extracted
+      numbers.
+
+    Returns
+    -------
+    summary : dict
+      A dictionary with various stats about the numbers.
+
+    Examples
+    --------
     >>> posts = ['text before 123', '123,456 text after', 'phone 333-444-555',
     'multiple 123,456 and 123.456.789']
     >>> number_summary = extract_numbers(posts)
@@ -1129,7 +1202,6 @@ 
Source code for advertools.extract
     dict_keys(['numbers', 'numbers_flat', 'number_counts', 'number_freq',
     'top_numbers', 'overview'])
 
-
     >>> number_summary['numbers']
     [['123'], ['123,456'], ['333-444-555'], ['123,456', '123.456.789']]
 
@@ -1162,14 +1234,13 @@ 
Source code for advertools.extract
      'unique_numbers': 4}
     """
     if not number_separators:
-        regex = r'\d+'
+        regex = r"\d+"
     else:
-        if '-' in number_separators:
-            number_separators = ([s for s in number_separators if s != '-']
-                                 + ['-'])
-        separators = '[' + ''.join(number_separators) + ']'
-        regex = r'(?:(?:\d+' + separators + '?)+)?' + r'\d+'
-    return extract(text_list, regex=regex, key_name='number')

+        if "-" in number_separators:
+            number_separators = [s for s in number_separators if s != "-"] + ["-"]
+        separators = "[" + "".join(number_separators) + "]"
+        regex = r"(?:(?:\d+" + separators + "?)+)?" + r"\d+"
+    return extract(text_list, regex=regex, key_name="number")

 
 
 
@@ -1181,9 +1252,18 @@ 
Source code for advertools.extract
     Get a summary of the number of question marks, their frequency,
     the top ones, as well the questions asked.
 
-    :param list text_list: A list of text strings.
-    :returns summary: A dictionary with various stats about questions
+    Parameters
+    ----------
+    text_list : list
+      A list of text strings.
+
+    Returns
+    -------
+    summary : dict
+      A dictionary with various stats about questions.
 
+    Examples
+    --------
     >>> posts = ['How are you?', 'What is this?', 'No question Here!']
     >>> question_summary = extract_questions(posts)
     >>> question_summary.keys()
@@ -1273,12 +1353,11 @@ 
Source code for advertools.extract
     'question_marks_per_post': 1.5,
     'unique_question_marks': 4}
     """
-    summary = extract(text_list, QUESTION_MARK, key_name='question_mark')
-    summary['question_mark_names'] = [[name(c).lower() for c in x] if x
-                                      else [] for x in
-                                      summary['question_marks']]
-    summary['question_text'] = [QUESTION.findall(text)
-                                for text in text_list]
+    summary = extract(text_list, QUESTION_MARK, key_name="question_mark")
+    summary["question_mark_names"] = [
+        [name(c).lower() for c in x] if x else [] for x in summary["question_marks"]
+    ]
+    summary["question_text"] = [QUESTION.findall(text) for text in text_list]
     return summary

 
 
@@ -1292,9 +1371,18 @@ 
Source code for advertools.extract
     ones, and more.
     This does NOT validate URLs, www.a.b would count as a URL
 
-    :param list text_list: A list of text strings.
-    :returns summary: A dictionary with various stats about URLs
+    Parameters
+    ----------
+    text_list : list
+      A list of text strings.
 
+    Returns
+    -------
+    summary : dict
+      A dictionary with various stats about URLs.
+
+    Examples
+    --------
     >>> posts = ['one link http://example.com', 'two: http://a.com www.b.com',
     ...          'no links here',
     ...          'long url http://example.com/one/two/?1=one&2=two']
@@ -1344,23 +1432,23 @@ 
Source code for advertools.extract
      'num_urls': 4,
      'urls_per_post': 1.0,
      'unique_urls': 4}
-     """
+    """
     extracted = [URL.findall(x) for x in text_list]
     for urllist in extracted:
         for i, url in enumerate(urllist):
-            if url.lower().startswith('www') or url.lower().startswith('ftp'):
-                urllist[i] = 'http://' + url
+            if url.lower().startswith("www") or url.lower().startswith("ftp"):
+                urllist[i] = "http://" + url
     domains = [[urlparse(u).netloc for u in e] for e in extracted]
     domains_flat = [item for sublist in domains for item in sublist]
-    top_domains = sorted(Counter(domains_flat).items(),
-                         key=lambda x: x[1], reverse=True)
-    tlds = [[d.split('.')[-1] for d in dom] for dom in domains]
+    top_domains = sorted(
+        Counter(domains_flat).items(), key=lambda x: x[1], reverse=True
+    )
+    tlds = [[d.split(".")[-1] for d in dom] for dom in domains]
     tlds_flat = [item for sublist in tlds for item in sublist]
-    top_tlds = sorted(Counter(tlds_flat).items(),
-                      key=lambda x: x[1], reverse=True)
-    summary = extract(text_list, URL, 'url', extracted)
-    summary['top_domains'] = top_domains
-    summary['top_tlds'] = top_tlds
+    top_tlds = sorted(Counter(tlds_flat).items(), key=lambda x: x[1], reverse=True)
+    summary = extract(text_list, URL, "url", extracted)
+    summary["top_domains"] = top_domains
+    summary["top_tlds"] = top_tlds
     return summary

 
 
@@ -1374,16 +1462,23 @@ 
Source code for advertools.extract
     Get a summary of the number of words, their frequency, the top
     ones, and more.
 
-    :param list text_list: A list of text strings.
-    :param list words_to_extract: A list of words to extract from
-                                  :attr:`text_list`.
-
-    :param bool entire_words_only: Whether or not to find only complete words
-        (as specified by :attr:`words_to_find`) or find any any of the
-        words as part of longer strings.
-
-    :returns summary: A dictionary with various stats about the words
-
+    Parameters
+    ----------
+    text_list : list
+      A list of text strings.
+    words_to_extract : list
+      A list of words to extract from :attr:`text_list`.
+    entire_words_only : bool
+      Whether or not to find only complete words (as specified by :attr:`words_to_find`)
+      or find any any of the words as part of longer strings.
+
+    Returns
+    -------
+    summary : dict
+      A dictionary with various stats about the words.
+
+    Examples
+    --------
     >>> posts = ['there is rain, it is raining', 'there is snow and rain',
                  'there is no rain, it is snowing', 'there is nothing']
     >>> word_summary = extract_words(posts, ['rain', 'snow'], True)
@@ -1464,13 +1559,13 @@ 
Source code for advertools.extract
     words_to_extract = [word.lower() for word in words_to_extract]
 
     if entire_words_only:
-        regex = [r'\b' + x + r'\b' for x in words_to_extract]
-        word_regex = re.compile(r'|'.join(regex), re.IGNORECASE)
+        regex = [r"\b" + x + r"\b" for x in words_to_extract]
+        word_regex = re.compile(r"|".join(regex), re.IGNORECASE)
     else:
-        regex = [r'\S*' + x + r'\S*' for x in words_to_extract]
-        word_regex = re.compile('|'.join(regex), re.IGNORECASE)
+        regex = [r"\S*" + x + r"\S*" for x in words_to_extract]
+        word_regex = re.compile("|".join(regex), re.IGNORECASE)
 
-    return extract(text_list, word_regex, 'word')

+    return extract(text_list, word_regex, "word")

 
 

 
diff --git a/docs/_build/html/_modules/advertools/knowledge_graph.html b/docs/_build/html/_modules/advertools/knowledge_graph.html
index c0fca647..f353b391 100644
--- a/docs/_build/html/_modules/advertools/knowledge_graph.html
+++ b/docs/_build/html/_modules/advertools/knowledge_graph.html
@@ -210,7 +210,7 @@ 
Source code for advertools.knowledge_graph
 
 For example if you run
 
->>> knowledge_graph(key=key, query=['google', 'bing'], languages=['en', 'fr', 'de'])
+>>> knowledge_graph(key=key, query=["google", "bing"], languages=["en", "fr", "de"])
 
 The function will send 2 (queries) x 3 languages = 6 requests.
 
@@ -222,9 +222,13 @@ 
Source code for advertools.knowledge_graph
 Let's check what "seo" and "search engine optimization" mean in different
 languages.
 
->>> seo = knowledge_graph(key=key, query=['seo', 'search engine optimization'], languages=['en', 'es', 'de'])
+>>> seo = knowledge_graph(
+...     key=key,
+...     query=["seo", "search engine optimization"],
+...     languages=["en", "es", "de"],
+... )
 >>> seo
-	query	                        languages	resultScore	    result.name	                     result.@type	                                   result.description
+        query	                        languages	resultScore	    result.name	                     result.@type	                                   result.description
 0	search engine optimization	de      	       3587	    Suchmaschinenoptimierung	         ['Thing']                                         nan
 1	search engine optimization	de      	        321	    Lokale Suchmaschinenoptimierung	 ['Thing']                                         nan
 2	search engine optimization	de      	        252	    Suchmaschinenmarketing	         ['Thing']                                         nan
@@ -253,7 +257,7 @@ 
Source code for advertools.knowledge_graph
 It's interesting to see how the same word can mean different things in
 different contexts.
 
-"""
+"""  # noqa: E501
 
 import logging
 from concurrent import futures
@@ -263,43 +267,53 @@ 
Source code for advertools.knowledge_graph
 
 from advertools.serp import _dict_product
 
-param_regex = '^query$|^ids$|^languages$|^types$|^prefix$|^limit$'
+param_regex = "^query$|^ids$|^languages$|^types$|^prefix$|^limit$"
+
 
 

 [docs]
-def knowledge_graph(key, query=None, ids=None, languages=None, types=None,
-                    prefix=None, limit=None):
+def knowledge_graph(
+    key, query=None, ids=None, languages=None, types=None, prefix=None, limit=None
+):
     """Query Google's Knowledge Graph with any combination of parameters.
 
     Note that Google's documentation states that "This API is not suitable for
     use as a production-critical service." So please keep this in mind.
 
-    :param string key: Your Google developer key.
-    :param string query: A literal string to search for in the Knowledge Graph.
-    :param string ids: A list of entity IDs to search for in the Knowledge
-                       Graph.
-    :param string languages: The list of language codes (defined in ISO 639) to
-                             run the query with, for instance `en`.
-    :param string types: Restricts returned entities to those of the specified
-                         types. For example,  you can specify `Person` (as
-                         defined in http://schema.org/Person)  to restrict the
-                         results to entities representing people. If multiple
-                         types are specified,  returned entities will contain
-                         one or more of these types.
-    :param boolean prefix: Enables prefix (initial substring) match against
-                           names and aliases of  entities. For example, a
-                           prefix `Jung` will match entities and aliases such
-                           as `Jung`, `Jungle`, and `Jung-ho Kang`.
-    :param number limit: Limits the number of entities to be returned. Maximum
-                         is 500. Default is 20.  Requests with high limits have
-                         a higher chance of timing out.
+    Parameters
+    ----------
+    key : str
+      Your Google developer key.
+    query : str
+      A literal string to search for in the Knowledge Graph.
+    ids : list
+      A list of entity IDs to search for in the Knowledge Graph.
+    languages : list
+      The list of language codes (defined in ISO 639) to run the query with, for
+      instance `en`.
+    types : str
+      Restricts returned entities to those of the specified types. For example,  you can
+      specify `Person` (as defined in http://schema.org/Person)  to restrict the results
+      to entities representing people. If multiple types are specified,  returned
+      entities will contain one or more of these types.
+    prefix : bool
+      Enables prefix (initial substring) match against names and aliases of  entities.
+      For example, a prefix `Jung` will match entities and aliases such as `Jung`,
+      `Jungle`, and `Jung-ho Kang`.
+    limit : int
+      Limits the number of entities to be returned. Maximum is 500. Default is 20.
+      Requests with high limits have a higher chance of timing out.
+
+    Returns
+    -------
+    kg_df : pandas.DataFrame
+      A DataFrame of all responses.
 
     https://developers.google.com/knowledge-graph/reference/rest/v1
     """
     params = locals()
-    base_url = 'https://kgsearch.googleapis.com/v1/entities:search?'
-    supplied_params = {k: v for k, v in params.items()
-                       if params[k] is not None}
+    base_url = "https://kgsearch.googleapis.com/v1/entities:search?"
+    supplied_params = {k: v for k, v in params.items() if params[k] is not None}
     for p in supplied_params:
         if isinstance(supplied_params[p], (str, int)):
             supplied_params[p] = [supplied_params[p]]
@@ -310,22 +324,25 @@ 
Source code for advertools.knowledge_graph
     def single_request(param):
         nonlocal result_df
         resp = requests.get(base_url, params=param)
-        param_log = ', '.join([k + '=' + str(v) for k, v in param.items()])
-        logging.info(msg='Requesting: ' + param_log)
-        df = pd.json_normalize(resp.json(), record_path='itemListElement')
-        del param['key']
-        param_columns = {k: [v] if df.empty else v
-                         for k, v in param.items()}
+        param_log = ", ".join([k + "=" + str(v) for k, v in param.items()])
+        logging.info(msg="Requesting: " + param_log)
+        df = pd.json_normalize(resp.json(), record_path="itemListElement")
+        del param["key"]
+        param_columns = {k: [v] if df.empty else v for k, v in param.items()}
         df = df.assign(**param_columns)
         result_df = pd.concat([result_df, df], ignore_index=True)
 
     with futures.ThreadPoolExecutor(max_workers=16) as executor:
         executor.map(single_request, params_list)
 
-    reordered_df = pd.concat([result_df.filter(regex=param_regex),
-                              result_df.filter(regex=f'^(?!{param_regex})')],
-                             axis=1)
-    reordered_df['query_time'] = pd.Timestamp.utcnow()
+    reordered_df = pd.concat(
+        [
+            result_df.filter(regex=param_regex),
+            result_df.filter(regex=f"^(?!{param_regex})"),
+        ],
+        axis=1,
+    )
+    reordered_df["query_time"] = pd.Timestamp.utcnow()
     return reordered_df

 
 

diff --git a/docs/_build/html/_modules/advertools/logs.html b/docs/_build/html/_modules/advertools/logs.html
index b8e440eb..03880602 100644
--- a/docs/_build/html/_modules/advertools/logs.html
+++ b/docs/_build/html/_modules/advertools/logs.html
@@ -140,12 +140,14 @@ 
Source code for advertools.logs
 
 >>> import advertools as adv
 >>> import pandas as pd
->>> adv.logs_to_df(log_file='access.log',
-...                output_file='access_logs.parquet',
-...                errors_file='log_errors.csv',
-...                log_format='common',
-...                fields=None)
->>> logs_df = pd.read_parquet('access_logs.parquet')
+>>> adv.logs_to_df(
+...     log_file="access.log",
+...     output_file="access_logs.parquet",
+...     errors_file="log_errors.csv",
+...     log_format="common",
+...     fields=None,
+... )
+>>> logs_df = pd.read_parquet("access_logs.parquet")
 
 How to run the :func:`logs_to_df` function:
 -------------------------------------------
@@ -201,7 +203,7 @@ 
Source code for advertools.logs
    easily add a ``hostname`` column to the original DataFrame.
 4. Parse and split URL columns into their respective components. Typically we
    have ``request`` which is the resource/URL requested, as well as ``referer``
-   , which shows us where the request was referred from. Function used: 
+   , which shows us where the request was referred from. Function used:
    :ref:`url_to_df <urlytics>`.
 5. Parse user agents if available. This allows us to analyze by user-agent
    family, operating system, bot/non-bot, version, and any other combination we
@@ -488,7 +490,7 @@ 
Source code for advertools.logs
 DataFrame:
 
 >>> import advertools as adv
->>> logs_df = adv.crawllogs_to_df('example.log')
+>>> logs_df = adv.crawllogs_to_df("example.log")
 
 
 The DataFrame might contain the following columns:
@@ -512,21 +514,22 @@ 
Source code for advertools.logs
 * `redirect_from`: The URL redirected from.
 * `blocked_urls`: The URLs that were not crawled due to robots.txt rules.
 
-"""
+"""  # noqa: E501
+
 import os
 import re
 from pathlib import Path
-from tempfile import TemporaryDirectory, TemporaryFile
+from tempfile import TemporaryDirectory
 
 import numpy as np
 import pandas as pd
 
 LOG_FORMATS = {
-    "common": r'^(?P<client>\S+) \S+ (?P<userid>\S+) \[(?P<datetime>[^\]]+)\] "(?P<method>[A-Z]+) (?P<request>[^ "]+)? HTTP/[0-9.]+" (?P<status>[0-9]{3}) (?P<size>[0-9]+|-)$',
-    "combined": r'^(?P<client>\S+) \S+ (?P<userid>\S+) \[(?P<datetime>[^\]]+)\] "(?P<method>[A-Z]+) (?P<request>[^ "]+)? HTTP/[0-9.]+" (?P<status>[0-9]{3}) (?P<size>[0-9]+|-) "(?P<referrer>[^"]*)" "(?P<useragent>[^"]*)"\s*$',
-    "common_with_vhost": r'^(?P<vhost>\S+) (?P<client>\S+) \S+ (?P<userid>\S+) \[(?P<datetime>[^\]]+)\] "(?P<method>[A-Z]+) (?P<request>[^ "]+)? HTTP/[0-9.]+" (?P<status>[0-9]{3}) (?P<size>[0-9]+|-)$',
-    "nginx_error": r"^(?P<datetime>\d{4}/\d\d/\d\d \d\d:\d\d:\d\d) \[(?P<level>[^\]]+)\] (?P<pid>\d+)#(?P<tid>\d+): (?P<counter>\*\d+ | )?(?P<message>.*)",
-    "apache_error": r"^(?P<datetime>\[[^\]]+\]) (?P<level>\[[^\]]+\]) \[pid (?P<pid>\d+)\] (?P<file>\S+):(?P<status> \S+| ):? \[client (?P<client>\S+)\] (?P<message>.*)",
+    "common": r'^(?P<client>\S+) \S+ (?P<userid>\S+) \[(?P<datetime>[^\]]+)\] "(?P<method>[A-Z]+) (?P<request>[^ "]+)? HTTP/[0-9.]+" (?P<status>[0-9]{3}) (?P<size>[0-9]+|-)$',  # noqa: E501
+    "combined": r'^(?P<client>\S+) \S+ (?P<userid>\S+) \[(?P<datetime>[^\]]+)\] "(?P<method>[A-Z]+) (?P<request>[^ "]+)? HTTP/[0-9.]+" (?P<status>[0-9]{3}) (?P<size>[0-9]+|-) "(?P<referrer>[^"]*)" "(?P<useragent>[^"]*)"\s*$',  # noqa: E501
+    "common_with_vhost": r'^(?P<vhost>\S+) (?P<client>\S+) \S+ (?P<userid>\S+) \[(?P<datetime>[^\]]+)\] "(?P<method>[A-Z]+) (?P<request>[^ "]+)? HTTP/[0-9.]+" (?P<status>[0-9]{3}) (?P<size>[0-9]+|-)$',  # noqa: E501
+    "nginx_error": r"^(?P<datetime>\d{4}/\d\d/\d\d \d\d:\d\d:\d\d) \[(?P<level>[^\]]+)\] (?P<pid>\d+)#(?P<tid>\d+): (?P<counter>\*\d+ | )?(?P<message>.*)",  # noqa: E501
+    "apache_error": r"^(?P<datetime>\[[^\]]+\]) (?P<level>\[[^\]]+\]) \[pid (?P<pid>\d+)\] (?P<file>\S+):(?P<status> \S+| ):? \[client (?P<client>\S+)\] (?P<message>.*)",  # noqa: E501
 }
 
 LOG_FIELDS = {
@@ -586,33 +589,39 @@ 
Source code for advertools.logs
     used. Check out ``adv.LOG_FORMATS`` and ``adv.LOG_FIELDS`` for the
     available formats and fields.
 
+    Parameters
+    ----------
+    log_file : str
+      The path to the log file.
+    output_file : str
+      The path to the desired output file. Must have a ".parquet" extension, and must
+      not have the same path as an existing file.
+    errors_file : str
+      The path where the parsing errors are stored. Any text format works, CSV is
+      recommended to easily open it with any CSV reader with the separator as "@@".
+    log_format : str
+      The name of one of the supported log formats, or a regex of your own format.
+    fields : list
+      A list of fields, which will become the names of columns in ``output_file``. Only
+      required if you provide a custom (regex) ``log_format``.
+    encoding : str
+      The encoding of the log file. It defaults to utf-8, but you might need to try
+      others in case of errors (latin-1, utf-16, etc.)
+
+    Examples
+    --------
     >>> import advertools as adv
     >>> import pandas as pd
-    >>> adv.logs_to_df(log_file='access.log',
-    ...                output_file='access_logs.parquet',
-    ...                errors_file='log_errors.csv',
-    ...                log_format='common',
-    ...                fields=None)
-    >>> logs_df = pd.read_parquet('access_logs.parquet')
+    >>> adv.logs_to_df(
+    ...     log_file="access.log",
+    ...     output_file="access_logs.parquet",
+    ...     errors_file="log_errors.csv",
+    ...     log_format="common",
+    ...     fields=None,
+    ... )
+    >>> logs_df = pd.read_parquet("access_logs.parquet")
 
     You can now analyze ``logs_df`` as a normal pandas DataFrame.
-
-    :param str log_file: The path to the log file.
-    :param str output_file: The path to the desired output file. Must have a
-                            ".parquet" extension, and must not have the same
-                            path as an existing file.
-    :param str errors_file: The path where the parsing errors are stored. Any
-                            text format works, CSV is recommended to easily
-                            open it with any CSV reader with the separator as
-                            "@@".
-    :param str log_format: Either the name of one of the supported log formats,
-                           or a regex of your own format.
-    :param str fields: A list of fields, which will become the names of columns
-                       in ``output_file``. Only required if you provide a
-                       custom (regex) ``log_format``.
-    :param str encoding: The encoding of the log file. It defaults to utf-8, but
-                         you might need to try others in case of errors
-                         (latin-1, utf-16, etc.)
     """
     if not output_file.endswith(".parquet"):
         raise ValueError(
@@ -683,7 +692,7 @@ 
Source code for advertools.logs
                   output_file='example.jl',
                   follow_links=True,
                   custom_settings={'LOG_FILE': 'example.log'})
-    >>> logs_df = adv.crawl_logs_to_df('example.log')
+    >>> logs_df = adv.crawl_logs_to_df("example.log")
 
 
     :param str logs_file_path: The path to the logs file.
diff --git a/docs/_build/html/_modules/advertools/reverse_dns_lookup.html b/docs/_build/html/_modules/advertools/reverse_dns_lookup.html
index c085dc49..296e38e9 100644
--- a/docs/_build/html/_modules/advertools/reverse_dns_lookup.html
+++ b/docs/_build/html/_modules/advertools/reverse_dns_lookup.html
@@ -232,9 +232,16 @@ 
Source code for advertools.reverse_dns_lookup
    Examples
     --------
     >>> import advertools as adv
-    >>> ip_list = ['66.249.66.194', '66.249.66.194', '66.249.66.194',
-    ...            '66.249.66.91', '66.249.66.91', '130.185.74.243',
-    ...            '31.56.96.51', '5.211.97.39']
+    >>> ip_list = [
+    ...     "66.249.66.194",
+    ...     "66.249.66.194",
+    ...     "66.249.66.194",
+    ...     "66.249.66.91",
+    ...     "66.249.66.91",
+    ...     "130.185.74.243",
+    ...     "31.56.96.51",
+    ...     "5.211.97.39",
+    ... ]
     >>> adv.reverse_dns_lookup([ip_list])
 
     ====  ==============  =======  ===========  ======  ==========  =================================  ===========================  ==============  ======================
@@ -257,7 +264,7 @@ 
Source code for advertools.reverse_dns_lookup
hosts = []
     if system == "Darwin":
         with futures.ProcessPoolExecutor(max_workers=max_workers) as executor:
-            for ip, host in zip(
+            for _ip, host in zip(
                 ip_list, executor.map(_single_request, count_df["ip_address"])
             ):
                 hosts.append(host)
diff --git a/docs/_build/html/_modules/advertools/robotstxt.html b/docs/_build/html/_modules/advertools/robotstxt.html
index 4e027154..ca16b7dd 100644
--- a/docs/_build/html/_modules/advertools/robotstxt.html
+++ b/docs/_build/html/_modules/advertools/robotstxt.html
@@ -306,7 +306,7 @@ 
Source code for advertools.robotstxt
    2  comment      and may only be conducted for the limited purpose contained in said  https://www.facebook.com/robots.txt  2022-02-12 00:48:58.951053+00:00
    3  comment      permission.                                                          https://www.facebook.com/robots.txt  2022-02-12 00:48:58.951053+00:00
    4  comment      See: http://www.facebook.com/apps/site_scraping_tos_terms.php        https://www.facebook.com/robots.txt  2022-02-12 00:48:58.951053+00:00
- ...  ...          ...                                                                  ...                                  ...                           
+ ...  ...          ...                                                                  ...                                  ...
  536  Allow        /ajax/pagelet/generic.php/PagePostsSectionPagelet                    https://www.facebook.com/robots.txt  2022-02-12 00:48:58.951053+00:00
  537  Allow        /careers/                                                            https://www.facebook.com/robots.txt  2022-02-12 00:48:58.951053+00:00
  538  Allow        /safetycheck/                                                        https://www.facebook.com/robots.txt  2022-02-12 00:48:58.951053+00:00
@@ -422,7 +422,7 @@ 
Source code for advertools.robotstxt
 
 I'll leave it to you to figure out why LinkedIn and Pinterest are not allowed
 to crawl the home page but Google and Apple are, because I have no clue!
-"""
+"""  # noqa: E501
 
 __all__ = ["robotstxt_to_df", "robotstxt_test"]
 
@@ -449,16 +449,33 @@ 
Source code for advertools.robotstxt
 def robotstxt_to_df(robotstxt_url, output_file=None):
     """Download the contents of ``robotstxt_url`` into a DataFrame
 
+    Parameters
+    ----------
+    robotstxt_url : str
+      One or more URLs of the robots.txt file(s)
+    output_file : str
+      Optional file path to save the robots.txt files, mainly useful for downloading >
+      500 files. The files are appended as soon as they are downloaded. Only the ".jl"
+      extension is supported.
+
+    Returns
+    -------
+    robotstxt_df : pandas.DataFrame
+      A DataFrame containing directives, their content, the URL and time of download
+
+    Examples
+    --------
     You can also use it to download multiple robots files by passing a list of
     URLs.
 
-    >>> robotstxt_to_df('https://www.twitter.com/robots.txt')
+    >>> robotstxt_to_df("https://www.twitter.com/robots.txt")
          directive content   	                 robotstxt_url	                   download_date
     0	User-agent	     *	https://www.twitter.com/robots.txt	2020-09-27 21:57:23.702814+00:00
     1	  Disallow	     /	https://www.twitter.com/robots.txt	2020-09-27 21:57:23.702814+00:00
 
-    >>> robotstxt_to_df(['https://www.google.com/robots.txt',
-    ...                  'https://www.twitter.com/robots.txt'])
+    >>> robotstxt_to_df(
+    ...     ["https://www.google.com/robots.txt", "https://www.twitter.com/robots.txt"]
+    ... )
            directive	                             content	    robotstxt_last_modified	                       robotstxt_url	                     download_date
     0	  User-agent	                                   *	  2021-01-11 21:00:00+00:00	   https://www.google.com/robots.txt	  2021-01-16 14:08:50.087985+00:00
     1	    Disallow	                             /search	  2021-01-11 21:00:00+00:00	   https://www.google.com/robots.txt	  2021-01-16 14:08:50.087985+00:00
@@ -477,25 +494,20 @@ 
Source code for advertools.robotstxt
     file as soon as they are downloaded, in case you lose your connection, or
     maybe your patience!
 
-    >>> robotstxt_to_df(['https://example.com/robots.txt',
-    ...                  'https://example.com/robots.txt',
-    ...                  'https://example.com/robots.txt'],
-    ...                 output_file='robots_output_file.jl')
+    >>> robotstxt_to_df(
+    ...     [
+    ...         "https://example.com/robots.txt",
+    ...         "https://example.com/robots.txt",
+    ...         "https://example.com/robots.txt",
+    ...     ],
+    ...     output_file="robots_output_file.jl",
+    ... )
 
     To open the file as a DataFrame:
 
     >>> import pandas as pd
-    >>> robotsfiles_df = pd.read_json('robots_output_file.jl', lines=True)
-
-    :param url robotstxt_url: One or more URLs of the robots.txt file(s)
-    :param str output_file: Optional file path to save the robots.txt files,
-                            mainly useful for downloading > 500 files. The
-                            files are appended as soon as they are downloaded.
-                            Only ".jl" extensions are supported.
-
-    :returns DataFrame robotstxt_df: A DataFrame containing directives, their
-                                     content, the URL and time of download
-    """
+    >>> robotsfiles_df = pd.read_json("robots_output_file.jl", lines=True)
+    """  # noqa: E501
     if output_file is not None and (not output_file.endswith(".jl")):
         raise ValueError("Please specify a file with a `.jl` extension.")
     if isinstance(robotstxt_url, (list, tuple, set, pd.Series)):
@@ -581,9 +593,28 @@ 
Source code for advertools.robotstxt
     All the combinations of :attr:`user_agents` and :attr:`urls` will be
     checked and the results returned in one DataFrame.
 
-    >>> robotstxt_test('https://facebook.com/robots.txt',
-    ...                user_agents=['*', 'Googlebot', 'Applebot'],
-    ...                urls=['/', '/bbc', '/groups', '/hashtag/'])
+    Parameters
+    ----------
+
+    robotstxt_url : str
+      The URL of robotx.txt file.
+    user_agents : str, list
+      One or more user agents.
+    urls : str, list
+      One or more paths (relative) or URLs (absolute) to check.
+
+    Returns
+    -------
+    robotstxt_test_df : pandas.DataFrame
+      A DataFrame with the test results per user-agent/rule combination.
+
+    Examples
+    --------
+    >>> robotstxt_test(
+    ...     "https://facebook.com/robots.txt",
+    ...     user_agents=["*", "Googlebot", "Applebot"],
+    ...     urls=["/", "/bbc", "/groups", "/hashtag/"],
+    ... )
                           robotstxt_url user_agent   url_path  can_fetch
     0   https://facebook.com/robots.txt          *          /      False
     1   https://facebook.com/robots.txt          *       /bbc      False
@@ -598,11 +629,6 @@ 
Source code for advertools.robotstxt
     10  https://facebook.com/robots.txt  Googlebot    /groups       True
     11  https://facebook.com/robots.txt  Googlebot  /hashtag/      False
 
-    :param url robotstxt_url: The URL of robotx.txt file
-    :param str,list user_agents: One or more user agents
-    :param str,list urls: One or more paths (relative) or URLs (absolute) to
-                           check
-    :return DataFrame robotstxt_test_df:
     """
     if not robotstxt_url.endswith("/robots.txt"):
         raise ValueError("Please make sure you enter a valid robots.txt URL")
diff --git a/docs/_build/html/_modules/advertools/serp.html b/docs/_build/html/_modules/advertools/serp.html
index cba6f544..9eb2df58 100644
--- a/docs/_build/html/_modules/advertools/serp.html
+++ b/docs/_build/html/_modules/advertools/serp.html
@@ -1585,7 +1585,7 @@ 
Source code for advertools.serp
     This is used to generate multiple queries out of
         possibly multiple arguments in serp_goog.
 
-    >>> d = {'a': [1], 'b': [2, 3, 4], 'c': [5, 6]}
+    >>> d = {"a": [1], "b": [2, 3, 4], "c": [5, 6]}
     >>> _dict_product(d)
     >>> [{'a': 1, 'b': 2, 'c': 5},
          {'a': 1, 'b': 2, 'c': 6},
@@ -1777,7 +1777,7 @@ 
Source code for advertools.serp
     The following function call will produce two queries:
     "hotel" in the USA, and "hotel" in France
 
-    >>> serp_goog(q='hotel', gl=['us', 'fr'], cx='YOUR_CX', key='YOUR_KEY')
+    >>> serp_goog(q="hotel", gl=["us", "fr"], cx="YOUR_CX", key="YOUR_KEY")
 
     The below function call will prouce four queries and make four requests:
 
diff --git a/docs/_build/html/_modules/advertools/sitemaps.html b/docs/_build/html/_modules/advertools/sitemaps.html
index 175886da..f5d097a3 100644
--- a/docs/_build/html/_modules/advertools/sitemaps.html
+++ b/docs/_build/html/_modules/advertools/sitemaps.html
@@ -169,7 +169,7 @@ 
Source code for advertools.sitemaps
 Another interesting thing you might want to do is to provide a robots.txt URL,
 and set `recursive=False` to get all available sitemap index files.
 
->>> sitemap_to_df('https://example.com/robots.txt', recursive=False)
+>>> sitemap_to_df("https://example.com/robots.txt", recursive=False)
 
 Let's now go through a quick example of what can be done with sitemaps. We can
 start by getting one of the BBC's sitemaps.
@@ -184,7 +184,7 @@ 
Source code for advertools.sitemaps
     :class: thebe, thebe-init
 
     import advertools as adv
-    
+
     bbc_sitemap = adv.sitemap_to_df('https://www.bbc.com/sitemaps/https-sitemap-com-archive-1.xml')
     bbc_sitemap.head(10)
 
@@ -211,7 +211,7 @@ 
Source code for advertools.sitemaps
 
     print(bbc_sitemap.shape)
     print(bbc_sitemap.dtypes)
-    
+
 .. code-block::
 
     (49999, 7)
@@ -519,7 +519,7 @@ 
Source code for advertools.sitemaps
 2954  https://www.wired.com/video/genres/transportation                                                               nan      nan                                                                                                                                                                                                                                     nan                                                                             nan                                                                                                                                                                                                                                                                                                                                         nan                                                                                                                    nan  nan                                            nan  NaT        https://www.wired.com/video/sitemap.xml  W/90b11f47f8b2ab57cb180cbd3c6f06f9            2.86199  2022-02-12 20:24:55.841851+00:00
 ====  ==============================================================================================================  =======  ======================================================================================================================================================================================================================================  ==============================================================================  ==========================================================================================================================================================================================================================================================================================================================================  ========================================================================================================  ================  =========================  =======================  =========  =======================================  ==================================  =================  ================================
 
-"""
+"""  # noqa: E501
 
 import logging
 from concurrent import futures
@@ -690,12 +690,12 @@ 
Source code for advertools.sitemaps
     if "lastmod" in sitemap_df:
         try:
             sitemap_df["lastmod"] = pd.to_datetime(sitemap_df["lastmod"], utc=True)
-        except Exception as e:
+        except Exception:
             pass
     if "priority" in sitemap_df:
         try:
             sitemap_df["priority"] = sitemap_df["priority"].astype(float)
-        except Exception as e:
+        except Exception:
             pass
     if resp_headers:
         etag_lastmod = {
diff --git a/docs/_build/html/_modules/advertools/spider.html b/docs/_build/html/_modules/advertools/spider.html
index cf1aeb3a..e1a570b9 100644
--- a/docs/_build/html/_modules/advertools/spider.html
+++ b/docs/_build/html/_modules/advertools/spider.html
@@ -134,8 +134,8 @@ 
Source code for advertools.spider
 
 There are two main approaches to crawl:
 
-1. **Discovery (spider mode):** You know the website to crawl, so you provide a ``url_list``
-   (one or more URLs), and you want the crawler to go through the whole
+1. **Discovery (spider mode):** You know the website to crawl, so you provide a
+   ``url_list`` (one or more URLs), and you want the crawler to go through the whole
    website(s) by following all available links.
 
 2. **Pre-determined (list mode):** You have a known set of URLs that you
@@ -373,18 +373,26 @@ 
Source code for advertools.spider
 of the links or the `href` attribute respectively. Similarly with XPath, you
 will need to append `/text()` or `/@href` to the selector to get the same.
 
->>> adv.crawl('https://advertools.readthedocs.io/en/master/advertools.spider.html',
-...           'output_file.jl',
-...           css_selectors={'sidebar_links': '.toctree-l1 .internal::text',
-...                          'sidebar_links_url': '.toctree-l1 .internal::attr(href)'})
+>>> adv.crawl(
+...     "https://advertools.readthedocs.io/en/master/advertools.spider.html",
+...     "output_file.jl",
+...     css_selectors={
+...         "sidebar_links": ".toctree-l1 .internal::text",
+...         "sidebar_links_url": ".toctree-l1 .internal::attr(href)",
+...     },
+... )
 
 Or, instead of ``css_selectors`` you can add a similar dictionary for the
 ``xpath_selectors`` argument:
 
->>> adv.crawl('https://advertools.readthedocs.io/en/master/advertools.spider.html',
-...           'output_file.jl',
-...           xpath_selectors={'sidebar_links': '//*[contains(concat( " ", @class, " " ), concat( " ", "toctree-l1", " " ))]//*[contains(concat( " ", @class, " " ), concat( " ", "internal", " " ))]/text()',
-...                            'sidebar_links_url': '//*[contains(concat( " ", @class, " " ), concat( " ", "toctree-l1", " " ))]//*[contains(concat( " ", @class, " " ), concat( " ", "internal", " " ))]/@href'})
+>>> adv.crawl(
+...     "https://advertools.readthedocs.io/en/master/advertools.spider.html",
+...     "output_file.jl",
+...     xpath_selectors={
+...         "sidebar_links": '//*[contains(concat( " ", @class, " " ), concat( " ", "toctree-l1", " " ))]//*[contains(concat( " ", @class, " " ), concat( " ", "internal", " " ))]/text()',
+...         "sidebar_links_url": '//*[contains(concat( " ", @class, " " ), concat( " ", "toctree-l1", " " ))]//*[contains(concat( " ", @class, " " ), concat( " ", "internal", " " ))]/@href',
+...     },
+... )
 
 Customizing the Crawling Behavior while Following Links
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
@@ -501,22 +509,27 @@ 
Source code for advertools.spider
 
 A very simple dictionary to be added to your function call:
 
->>> adv.crawl('http://exmaple.com', 'outpuf_file.jl',
-...           custom_settings={'CLOSESPIDER_PAGECOUNT': 100,
-...                            'CONCURRENT_REQUESTS_PER_DOMAIN': 1,
-...                            'USER_AGENT': 'custom-user-agent'})
+>>> adv.crawl(
+...     "http://exmaple.com",
+...     "outpuf_file.jl",
+...     custom_settings={
+...         "CLOSESPIDER_PAGECOUNT": 100,
+...         "CONCURRENT_REQUESTS_PER_DOMAIN": 1,
+...         "USER_AGENT": "custom-user-agent",
+...     },
+... )
 
 Please refer to the `spider settings documentation <https://docs.scrapy.org/en/latest/topics/settings.html>`_
 for the full details.
 
-"""
+"""  # noqa: E501
+
 import datetime
 import json
 import logging
 import platform
 import re
 import subprocess
-from functools import reduce
 from urllib.parse import parse_qs, urlparse, urlsplit
 
 import pandas as pd
@@ -536,25 +549,43 @@ 
Source code for advertools.spider
 
 from advertools import __version__ as adv_version
 
-spider_path = adv.__path__[0] + '/spider.py'
+spider_path = adv.__path__[0] + "/spider.py"
 
-user_agent = f'advertools/{adv_version}'
+user_agent = f"advertools/{adv_version}"
 
-BODY_TEXT_SELECTOR = '//body//span//text() | //body//p//text() | //body//li//text()'
+BODY_TEXT_SELECTOR = "//body//span//text() | //body//p//text() | //body//li//text()"
 
 _IMG_ATTRS = {
-    'alt', 'crossorigin', 'decoding', 'fetchpriority', 'height', 'ismap',
-    'loading', 'referrerpolicy', 'sizes', 'src', 'srcset', 'usemap', 'width',
+    "alt",
+    "crossorigin",
+    "decoding",
+    "fetchpriority",
+    "height",
+    "ismap",
+    "loading",
+    "referrerpolicy",
+    "sizes",
+    "src",
+    "srcset",
+    "usemap",
+    "width",
     # Depracated tags, also included for completeness and QA:
-    'align', 'border', 'hspace', 'longdesc', 'name', 'vspace',
-    }
+    "align",
+    "border",
+    "hspace",
+    "longdesc",
+    "name",
+    "vspace",
+}
 
 
-def _crawl_or_not(url,
-                  exclude_url_params=None,
-                  include_url_params=None,
-                  exclude_url_regex=None,
-                  include_url_regex=None):
+def _crawl_or_not(
+    url,
+    exclude_url_params=None,
+    include_url_params=None,
+    exclude_url_regex=None,
+    include_url_regex=None,
+):
     qs = parse_qs(urlsplit(url).query)
     supplied_conditions = []
     if exclude_url_params is not None:
@@ -579,23 +610,27 @@ 
Source code for advertools.spider
         supplied_conditions.append(include_pattern_matched)
     return all(supplied_conditions)
 
+
 def _extract_images(response):
-    page_has_images = response.xpath('//img')
+    page_has_images = response.xpath("//img")
     if page_has_images:
-        img_df = pd.DataFrame([x.attrib for x in response.xpath('//img')])
-        if 'src' in img_df:
-            img_df['src'] = [response.urljoin(url) if isinstance(url, str) else url for url in img_df['src']]
-        img_df = img_df.apply(lambda col: col.fillna('').str.cat(sep='@@')).to_frame().T
+        img_df = pd.DataFrame([x.attrib for x in response.xpath("//img")])
+        if "src" in img_df:
+            img_df["src"] = [
+                response.urljoin(url) if isinstance(url, str) else url
+                for url in img_df["src"]
+            ]
+        img_df = img_df.apply(lambda col: col.fillna("").str.cat(sep="@@")).to_frame().T
         img_df = img_df[img_df.columns.intersection(_IMG_ATTRS)]
-        img_df = img_df.add_prefix('img_')
-        d = img_df.to_dict('records')[0]
+        img_df = img_df.add_prefix("img_")
+        d = img_df.to_dict("records")[0]
         return d
     return {}
 
 
 def get_max_cmd_len():
     system = platform.system()
-    cmd_dict = {'Windows': 7000, 'Linux': 100000, 'Darwin': 100000}
+    cmd_dict = {"Windows": 7000, "Linux": 100000, "Darwin": 100000}
     if system in cmd_dict:
         return cmd_dict[system]
     return 6000
@@ -613,65 +648,62 @@ 
Source code for advertools.spider
         base_url = get_base_url(response)
         if self.restrict_xpaths:
             docs = [
-                subdoc
-                for x in self.restrict_xpaths
-                for subdoc in response.xpath(x)
+                subdoc for x in self.restrict_xpaths for subdoc in response.xpath(x)
             ]
         else:
             docs = [response.selector]
         all_links = []
         for doc in docs:
-            links = self._extract_links(doc, response.url, response.encoding,
-                                        base_url)
+            links = self._extract_links(doc, response.url, response.encoding, base_url)
             all_links.extend(self._process_links(links))
         return all_links
 
 
 le = MyLinkExtractor(unique=False)
-le_nav = MyLinkExtractor(unique=False, restrict_xpaths='//nav')
-le_header = MyLinkExtractor(unique=False, restrict_xpaths='//header')
-le_footer = MyLinkExtractor(unique=False, restrict_xpaths='//footer')
+le_nav = MyLinkExtractor(unique=False, restrict_xpaths="//nav")
+le_header = MyLinkExtractor(unique=False, restrict_xpaths="//header")
+le_footer = MyLinkExtractor(unique=False, restrict_xpaths="//footer")
 
 crawl_headers = {
-    'url',
-    'title',
-    'meta_desc',
-    'viewport',
-    'charset',
-    'alt_href',
-    'alt_hreflang',
-    'h1',
-    'h2',
-    'h3',
-    'h4',
-    'h5',
-    'h6',
-    'canonical',
-    'body_text',
-    'size',
-    'download_timeout',
-    'download_slot',
-    'download_latency',
-    'redirect_times',
-    'redirect_ttl',
-    'redirect_urls',
-    'redirect_reasons',
-    'depth',
-    'status',
-    'links_url',
-    'links_text',
-    'links_nofollow',
-    'img_src',
-    'img_alt',
-    'ip_address',
-    'crawl_time',
-    'blocked_by_robotstxt',
-    'jsonld_errors',
-    'request_headers_accept',
-    'request_headers_accept-language',
-    'request_headers_user-agent',
-    'request_headers_accept-encoding',
-    'request_headers_cookie',
+    "url",
+    "title",
+    "meta_desc",
+    "viewport",
+    "charset",
+    "alt_href",
+    "alt_hreflang",
+    "h1",
+    "h2",
+    "h3",
+    "h4",
+    "h5",
+    "h6",
+    "canonical",
+    "body_text",
+    "size",
+    "download_timeout",
+    "download_slot",
+    "download_latency",
+    "redirect_times",
+    "redirect_ttl",
+    "redirect_urls",
+    "redirect_reasons",
+    "depth",
+    "status",
+    "links_url",
+    "links_text",
+    "links_nofollow",
+    "img_src",
+    "img_alt",
+    "ip_address",
+    "crawl_time",
+    "blocked_by_robotstxt",
+    "jsonld_errors",
+    "request_headers_accept",
+    "request_headers_accept-language",
+    "request_headers_user-agent",
+    "request_headers_accept-encoding",
+    "request_headers_cookie",
 }
 
 
@@ -698,11 +730,11 @@ 
Source code for advertools.spider
     item_count = dict.fromkeys(items, 0)
     numbered_items = []
     for item in items:
-        numbered_items.append(item + '_' + str(item_count[item]))
+        numbered_items.append(item + "_" + str(item_count[item]))
         item_count[item] += 1
     for i, num_item in enumerate(numbered_items):
-        split_number = num_item.rsplit('_', maxsplit=1)
-        if split_number[1] == '0':
+        split_number = num_item.rsplit("_", maxsplit=1)
+        if split_number[1] == "0":
             numbered_items[i] = split_number[0]
     return numbered_items
 
@@ -711,9 +743,9 @@ 
Source code for advertools.spider
     try:
         df = json_normalize(jsonobj)
         if i:
-            df = df.add_prefix('jsonld_{}_'.format(i))
+            df = df.add_prefix("jsonld_{}_".format(i))
         else:
-            df = df.add_prefix('jsonld_')
+            df = df.add_prefix("jsonld_")
         return dict(zip(df.columns, df.values[0]))
     except Exception as e:
         logger = logging.getLogger(__name__)
@@ -722,61 +754,65 @@ 
Source code for advertools.spider
 
 
 tags_xpaths = {
-    'title': '//title/text()',
-    'meta_desc': '//meta[@name="description"]/@content',
-    'viewport': '//meta[@name="viewport"]/@content',
-    'charset': '//meta[@charset]/@charset',
-    'h1': '//h1',
-    'h2': '//h2',
-    'h3': '//h3',
-    'h4': '//h4',
-    'h5': '//h5',
-    'h6': '//h6',
-    'canonical': '//link[@rel="canonical"]/@href',
-    'alt_href': '//link[@rel="alternate"]/@href',
-    'alt_hreflang': '//link[@rel="alternate"]/@hreflang',
+    "title": "//title/text()",
+    "meta_desc": '//meta[@name="description"]/@content',
+    "viewport": '//meta[@name="viewport"]/@content',
+    "charset": "//meta[@charset]/@charset",
+    "h1": "//h1",
+    "h2": "//h2",
+    "h3": "//h3",
+    "h4": "//h4",
+    "h5": "//h5",
+    "h6": "//h6",
+    "canonical": '//link[@rel="canonical"]/@href',
+    "alt_href": '//link[@rel="alternate"]/@href',
+    "alt_hreflang": '//link[@rel="alternate"]/@hreflang',
 }
 
 
 def _extract_content(resp, **tags_xpaths):
     d = {}
     for tag, xpath in tags_xpaths.items():
-        if not tag.startswith('h'):
-            value = '@@'.join(resp.xpath(xpath).getall())
+        if not tag.startswith("h"):
+            value = "@@".join(resp.xpath(xpath).getall())
             if value:
                 d.update({tag: value})
         else:
-            value = '@@'.join([h.root.text_content()
-                               for h in resp.xpath(xpath)])
+            value = "@@".join([h.root.text_content() for h in resp.xpath(xpath)])
             if value:
                 d.update({tag: value})
     return d
 
 
 class SEOSitemapSpider(Spider):
-    name = 'seo_spider'
+    name = "seo_spider"
     follow_links = False
     skip_url_params = False
     css_selectors = {}
     xpath_selectors = {}
     custom_settings = {
-        'USER_AGENT': user_agent,
-        'ROBOTSTXT_OBEY': True,
-        'HTTPERROR_ALLOW_ALL': True,
+        "USER_AGENT": user_agent,
+        "ROBOTSTXT_OBEY": True,
+        "HTTPERROR_ALLOW_ALL": True,
     }
 
-
-    def __init__(self, url_list, follow_links=False,
-                 allowed_domains=None,
-                 exclude_url_params=None,
-                 include_url_params=None,
-                 exclude_url_regex=None,
-                 include_url_regex=None,
-                 css_selectors=None,
-                 xpath_selectors=None, *args, **kwargs):
+    def __init__(
+        self,
+        url_list,
+        follow_links=False,
+        allowed_domains=None,
+        exclude_url_params=None,
+        include_url_params=None,
+        exclude_url_regex=None,
+        include_url_regex=None,
+        css_selectors=None,
+        xpath_selectors=None,
+        *args,
+        **kwargs,
+    ):
         super().__init__(*args, **kwargs)
-        self.start_urls = json.loads(json.dumps(url_list.split(',')))
-        self.allowed_domains = json.loads(json.dumps(allowed_domains.split(',')))
+        self.start_urls = json.loads(json.dumps(url_list.split(",")))
+        self.allowed_domains = json.loads(json.dumps(allowed_domains.split(",")))
         self.follow_links = eval(json.loads(json.dumps(follow_links)))
         self.exclude_url_params = eval(json.loads(json.dumps(exclude_url_params)))
         self.include_url_params = eval(json.loads(json.dumps(include_url_params)))
@@ -799,9 +835,11 @@ 
Source code for advertools.spider
     def errback(self, failure):
         if not failure.check(scrapy.exceptions.IgnoreRequest):
             self.logger.error(repr(failure))
-            yield {'url': failure.request.url,
-                   'crawl_time': datetime.datetime.utcnow().strftime('%Y-%m-%d %H:%M:%S'),
-                   'errors': repr(failure)}
+            yield {
+                "url": failure.request.url,
+                "crawl_time": datetime.datetime.utcnow().strftime("%Y-%m-%d %H:%M:%S"),
+                "errors": repr(failure),
+            }
 
     def parse(self, response):
         links = le.extract_links(response)
@@ -812,77 +850,103 @@ 
Source code for advertools.spider
 
         if links:
             parsed_links = dict(
-                links_url='@@'.join(link.url for link in links),
-                links_text='@@'.join(link.text for link in links),
-                links_nofollow='@@'.join(str(link.nofollow) for link in links),
+                links_url="@@".join(link.url for link in links),
+                links_text="@@".join(link.text for link in links),
+                links_nofollow="@@".join(str(link.nofollow) for link in links),
             )
         else:
             parsed_links = {}
         if nav_links:
             parsed_nav_links = dict(
-                nav_links_url='@@'.join(link.url for link in nav_links),
-                nav_links_text='@@'.join(link.text for link in nav_links),
-                nav_links_nofollow='@@'.join(str(link.nofollow)
-                                             for link in nav_links),
+                nav_links_url="@@".join(link.url for link in nav_links),
+                nav_links_text="@@".join(link.text for link in nav_links),
+                nav_links_nofollow="@@".join(str(link.nofollow) for link in nav_links),
             )
         else:
             parsed_nav_links = {}
         if header_links:
             parsed_header_links = dict(
-                header_links_url='@@'.join(link.url
-                                           for link in header_links),
-                header_links_text='@@'.join(link.text
-                                            for link in header_links),
-                header_links_nofollow='@@'.join(str(link.nofollow)
-                                                for link in header_links),
+                header_links_url="@@".join(link.url for link in header_links),
+                header_links_text="@@".join(link.text for link in header_links),
+                header_links_nofollow="@@".join(
+                    str(link.nofollow) for link in header_links
+                ),
             )
         else:
             parsed_header_links = {}
         if footer_links:
             parsed_footer_links = dict(
-                footer_links_url='@@'.join(link.url for link in footer_links),
-                footer_links_text='@@'.join(link.text
-                                            for link in footer_links),
-                footer_links_nofollow='@@'.join(str(link.nofollow)
-                                                for link in footer_links),
+                footer_links_url="@@".join(link.url for link in footer_links),
+                footer_links_text="@@".join(link.text for link in footer_links),
+                footer_links_nofollow="@@".join(
+                    str(link.nofollow) for link in footer_links
+                ),
             )
         else:
             parsed_footer_links = {}
         if self.css_selectors:
-            css_selectors = {key: '@@'.join(response.css('{}'.format(val)).getall())
-                             for key, val in self.css_selectors.items()}
+            css_selectors = {
+                key: "@@".join(response.css("{}".format(val)).getall())
+                for key, val in self.css_selectors.items()
+            }
             css_selectors = {k: v for k, v in css_selectors.items() if v}
         else:
             css_selectors = {}
 
         if self.xpath_selectors:
-            xpath_selectors = {key: '@@'.join(response.xpath('{}'.format(val)).getall())
-                               for key, val in self.xpath_selectors.items()}
+            xpath_selectors = {
+                key: "@@".join(response.xpath("{}".format(val)).getall())
+                for key, val in self.xpath_selectors.items()
+            }
             xpath_selectors = {k: v for k, v in xpath_selectors.items() if v}
         else:
             xpath_selectors = {}
-        canonical = {'canonical': '@@'.join(response.css('link[rel="canonical"]::attr(href)').getall())}
-        canonical = canonical if canonical.get('canonical') else {}
-        alt_href = {'alt_href': '@@'.join(response.css('link[rel=alternate]::attr(href)').getall())}
-        alt_href = alt_href if alt_href.get('alt_href') else {}
-        alt_hreflang = {'alt_hreflang': '@@'.join(response.css('link[rel=alternate]::attr(hreflang)').getall())}
-        alt_hreflang = alt_hreflang if alt_hreflang.get('alt_hreflang') else {}
-        og_props = response.xpath('//meta[starts-with(@property, "og:")]/@property').getall()
-        og_content = response.xpath('//meta[starts-with(@property, "og:")]/@content').getall()
+        canonical = {
+            "canonical": "@@".join(
+                response.css('link[rel="canonical"]::attr(href)').getall()
+            )
+        }
+        canonical = canonical if canonical.get("canonical") else {}
+        alt_href = {
+            "alt_href": "@@".join(
+                response.css("link[rel=alternate]::attr(href)").getall()
+            )
+        }
+        alt_href = alt_href if alt_href.get("alt_href") else {}
+        alt_hreflang = {
+            "alt_hreflang": "@@".join(
+                response.css("link[rel=alternate]::attr(hreflang)").getall()
+            )
+        }
+        alt_hreflang = alt_hreflang if alt_hreflang.get("alt_hreflang") else {}
+        og_props = response.xpath(
+            '//meta[starts-with(@property, "og:")]/@property'
+        ).getall()
+        og_content = response.xpath(
+            '//meta[starts-with(@property, "og:")]/@content'
+        ).getall()
         if og_props and og_content:
             og_props = _numbered_duplicates(og_props)
             open_graph = dict(zip(og_props, og_content))
         else:
             open_graph = {}
-        twtr_names = response.xpath('//meta[starts-with(@name, "twitter:")]/@name').getall()
-        twtr_content = response.xpath('//meta[starts-with(@name, "twitter:")]/@content').getall()
+        twtr_names = response.xpath(
+            '//meta[starts-with(@name, "twitter:")]/@name'
+        ).getall()
+        twtr_content = response.xpath(
+            '//meta[starts-with(@name, "twitter:")]/@content'
+        ).getall()
         if twtr_names and twtr_content:
             twtr_card = dict(zip(twtr_names, twtr_content))
         else:
             twtr_card = {}
         try:
-            ld = [json.loads(s.replace('\r', '').replace('\n', ' ')) for s in
-                  response.css('script[type="application/ld+json"]::text').getall()]
+            ld = [
+                json.loads(s.replace("\r", "").replace("\n", " "))
+                for s in response.css(
+                    'script[type="application/ld+json"]::text'
+                ).getall()
+            ]
             if not ld:
                 jsonld = {}
             else:
@@ -896,9 +960,10 @@ 
Source code for advertools.spider
                     for norm in ld_norm:
                         jsonld.update(**norm)
         except Exception as e:
-            jsonld = {'jsonld_errors': str(e)}
-            self.logger.exception(' '.join([str(e), str(response.status),
-                                            response.url]))
+            jsonld = {"jsonld_errors": str(e)}
+            self.logger.exception(
+                " ".join([str(e), str(response.status), response.url])
+            )
         page_content = _extract_content(response, **tags_xpaths)
 
         yield dict(
@@ -907,12 +972,14 @@ 
Source code for advertools.spider
             **open_graph,
             **twtr_card,
             **jsonld,
-            body_text=' '.join(response.xpath(BODY_TEXT_SELECTOR).extract()),
+            body_text=" ".join(response.xpath(BODY_TEXT_SELECTOR).extract()),
             size=len(response.body),
             **css_selectors,
             **xpath_selectors,
-            **{k: '@@'.join(str(val) for val in v) if isinstance(v, list)
-               else v for k, v in response.meta.items()},
+            **{
+                k: "@@".join(str(val) for val in v) if isinstance(v, list) else v
+                for k, v in response.meta.items()
+            },
             status=response.status,
             **parsed_links,
             **parsed_nav_links,
@@ -920,11 +987,15 @@ 
Source code for advertools.spider
             **parsed_footer_links,
             **images,
             ip_address=str(response.ip_address),
-            crawl_time=datetime.datetime.utcnow().strftime('%Y-%m-%d %H:%M:%S'),
-            **{'resp_headers_' + k: v
-               for k, v in response.headers.to_unicode_dict().items()},
-            **{'request_headers_' + k: v
-               for k, v in response.request.headers.to_unicode_dict().items()},
+            crawl_time=datetime.datetime.utcnow().strftime("%Y-%m-%d %H:%M:%S"),
+            **{
+                "resp_headers_" + k: v
+                for k, v in response.headers.to_unicode_dict().items()
+            },
+            **{
+                "request_headers_" + k: v
+                for k, v in response.request.headers.to_unicode_dict().items()
+            },
         )
         if self.follow_links:
             next_pages = [link.url for link in links]
@@ -935,88 +1006,95 @@ 
Source code for advertools.spider
                         exclude_url_params=self.exclude_url_params,
                         include_url_params=self.include_url_params,
                         exclude_url_regex=self.exclude_url_regex,
-                        include_url_regex=self.include_url_regex)
+                        include_url_regex=self.include_url_regex,
+                    )
                     if cond:
-                        yield Request(page, callback=self.parse,
-                                      errback=self.errback)
+                        yield Request(page, callback=self.parse, errback=self.errback)
                     # if self.skip_url_params and urlparse(page).query:
                     #     continue
 
 
 

 [docs]
-def crawl(url_list, output_file, follow_links=False,
-          allowed_domains=None,
-          exclude_url_params=None,
-          include_url_params=None,
-          exclude_url_regex=None,
-          include_url_regex=None,
-          css_selectors=None, xpath_selectors=None, custom_settings=None,
-          ):
+def crawl(
+    url_list,
+    output_file,
+    follow_links=False,
+    allowed_domains=None,
+    exclude_url_params=None,
+    include_url_params=None,
+    exclude_url_regex=None,
+    include_url_regex=None,
+    css_selectors=None,
+    xpath_selectors=None,
+    custom_settings=None,
+):
     """
-    Crawl a website's URLs based on the given :attr:`url_list`
-
-    :param url,list url_list: One or more URLs to crawl. If ``follow_links``
-                          is True, the crawler will start with these URLs and
-                          follow all links on pages recursively.
-    :param str output_file: The path to the output of the crawl. Jsonlines only
-                            is supported to allow for dynamic values. Make sure
-                            your file ends with ".jl", e.g. `output_file.jl`.
-    :param bool follow_links: Defaults to False. Whether or not to follow links
-                              on crawled pages.
-    :param list,bool exclude_url_params: A list of URL parameters to exclude
-                                         while following links. If a link
-                                         contains any of those parameters,
-                                         don't follow it. Setting it to
-                                         ``True`` will exclude links
-                                         containing any parameter.
-    :param list include_url_params: A list of URL parameters to include while
-                                    following links. If a link contains any of
-                                    those parameters, follow it. Having the
-                                    same parmeters to include and exclude
-                                    raises an error.
-    :param str exclude_url_regex: A regular expression of a URL pattern to
-                                  exclude while following links. If a link
-                                  matches the regex don't follow it.
-    :param str include_url_regex: A regular expression of a URL pattern to
-                                  include while following links. If a link
-                                  matches the regex follow it.
-    :param dict css_selectors: A dictionary mapping names to CSS selectors. The
-                               names will become column headers, and the
-                               selectors will be used to extract the required
-                               data/content.
-    :param dict xpath_selectors: A dictionary mapping names to XPath selectors.
-                                 The names will become column headers, and the
-                                 selectors will be used to extract the required
-                                 data/content.
-    :param dict custom_settings: A dictionary of optional custom settings that
-                                 you might want to add to the spider's
-                                 functionality. There are over 170 settings for
-                                 all kinds of options. For details please
-                                 refer to the `spider settings <https://docs.scrapy.org/en/latest/topics/settings.html>`_
-                                 documentation.
-    :param list allowed_domains: (optional) A list of the allowed domains to
-                                 crawl. This ensures that the crawler does not
-                                 attempt to crawl the whole web. If not
-                                 specified, it defaults to the domains of the
-                                 URLs provided in ``url_list`` and all their 
-                                 sub-domains. You can also specify a list of
-                                 sub-domains, if you want to only crawl those.
-    :Examples:
-
+    Crawl a website of a list of URLs based on the supplied options.
+
+    Parameters
+    ----------
+    url_list : url, list
+      One or more URLs to crawl. If ``follow_links`` is True, the crawler will start
+      with these URLs and follow all links on pages recursively.
+    output_file : str
+      The path to the output of the crawl. Jsonlines only is supported to allow for
+      dynamic values. Make sure your file ends with ".jl", e.g. `output_file.jl`.
+    follow_links : bool
+      Defaults to False. Whether or not to follow links on crawled pages.
+    exclude_url_params : list, bool
+      A list of URL parameters to exclude while following links. If a link contains any
+      of those parameters, don't follow it. Setting it to ``True`` will exclude links
+      containing any parameter.
+    include_url_params : list
+      A list of URL parameters to include while following links. If a link contains any
+      of those parameters, follow it. Having the same parmeters to include and exclude
+      raises an error.
+    exclude_url_regex : str
+      A regular expression of a URL pattern to exclude while following links. If a link
+      matches the regex don't follow it.
+    include_url_regex : str
+      A regular expression of a URL pattern to include while following links. If a link
+      matches the regex follow it.
+    css_selectors : dict
+      A dictionary mapping names to CSS selectors. The names will become column headers,
+      and the selectors will be used to extract the required data/content.
+    xpath_selectors : dict
+      A dictionary mapping names to XPath selectors. The names will become column
+      headers, and the selectors will be used to extract the required data/content.
+    custom_settings : dict
+      A dictionary of optional custom settings that you might want to add to the
+      spider's functionality. There are over 170 settings for all kinds of options. For
+      details please refer to the `spider settings <https://docs.scrapy.org/en/latest/topics/settings.html>`_
+      documentation.
+    allowed_domains : list
+      A list of the allowed domains to crawl. This ensures that the crawler does not
+      attempt to crawl the whole web. If not specified, it defaults to the domains of
+      the URLs provided in ``url_list`` and all their sub-domains. You can also specify
+      a list of sub-domains, if you want to only crawl those.
+
+    Examples
+    --------
     Crawl a website and let the crawler discover as many pages as available
 
     >>> import advertools as adv
-    >>> adv.crawl('http://example.com', 'output_file.jl', follow_links=True)
+    >>> adv.crawl("http://example.com", "output_file.jl", follow_links=True)
     >>> import pandas as pd
-    >>> crawl_df = pd.read_json('output_file.jl', lines=True)
+    >>> crawl_df = pd.read_json("output_file.jl", lines=True)
 
     Crawl a known set of pages (on a single or multiple sites) without
     following links (just crawl the specified pages) or "list mode":
 
-    >>> adv.crawl(['http://exmaple.com/product', 'http://exmaple.com/product2',
-    ...            'https://anotherexample.com', 'https://anotherexmaple.com/hello'],
-    ...            'output_file.jl', follow_links=False)
+    >>> adv.crawl(
+    ...     [
+    ...         "http://exmaple.com/product",
+    ...         "http://exmaple.com/product2",
+    ...         "https://anotherexample.com",
+    ...         "https://anotherexmaple.com/hello",
+    ...     ],
+    ...     "output_file.jl",
+    ...     follow_links=False,
+    ... )
 
     Crawl a website, and in addition to standard SEO elements, also get the
     required CSS selectors.
@@ -1025,73 +1103,105 @@ 
Source code for advertools.spider
     or the `href` attribute if you are working with links (and all other
     selectors).
 
-    >>> adv.crawl('http://example.com', 'output_file.jl',
-    ...           css_selectors={'price': '.a-color-price::text',
-    ...                          'author': '.contributorNameID::text',
-    ...                          'author_url': '.contributorNameID::attr(href)'})
+    >>> adv.crawl(
+    ...     "http://example.com",
+    ...     "output_file.jl",
+    ...     css_selectors={
+    ...         "price": ".a-color-price::text",
+    ...         "author": ".contributorNameID::text",
+    ...         "author_url": ".contributorNameID::attr(href)",
+    ...     },
+    ... )
+
     """
     if isinstance(url_list, str):
         url_list = [url_list]
     if isinstance(allowed_domains, str):
         allowed_domains = [allowed_domains]
-    if output_file.rsplit('.')[-1] != 'jl':
-        raise ValueError("Please make sure your output_file ends with '.jl'.\n"
-                         "For example:\n"
-                         "{}.jl".format(output_file.rsplit('.', maxsplit=1)[0]))
+    if output_file.rsplit(".")[-1] != "jl":
+        raise ValueError(
+            "Please make sure your output_file ends with '.jl'.\n"
+            "For example:\n"
+            "{}.jl".format(output_file.rsplit(".", maxsplit=1)[0])
+        )
     if (xpath_selectors is not None) and (css_selectors is not None):
         css_xpath = set(xpath_selectors).intersection(css_selectors)
         if css_xpath:
-            raise ValueError("Please make sure you don't set common keys for"
-                             "`css_selectors` and `xpath_selectors`.\n"
-                             "Duplicated keys: {}".format(css_xpath))
+            raise ValueError(
+                "Please make sure you don't set common keys for"
+                "`css_selectors` and `xpath_selectors`.\n"
+                "Duplicated keys: {}".format(css_xpath)
+            )
     for selector in [xpath_selectors, css_selectors]:
         if selector is not None and set(selector).intersection(crawl_headers):
-            raise ValueError("Please make sure you don't use names of default "
-                             "headers. Avoid using any of these as keys: \n"
-                             "{}".format(sorted(crawl_headers)))
+            raise ValueError(
+                "Please make sure you don't use names of default "
+                "headers. Avoid using any of these as keys: \n"
+                "{}".format(sorted(crawl_headers))
+            )
     if allowed_domains is None:
         allowed_domains = {urlparse(url).netloc for url in url_list}
     if exclude_url_params is not None and include_url_params is not None:
         if exclude_url_params is True:
-            raise ValueError("Please make sure you don't exclude and include "
-                             "parameters at the same time.")
+            raise ValueError(
+                "Please make sure you don't exclude and include "
+                "parameters at the same time."
+            )
         common_params = set(exclude_url_params).intersection(include_url_params)
         if common_params:
-            raise ValueError(f"Please make sure you don't include and exclude "
-                             f"the same parameters.\n"
-                             f"Common parameters entered: "
-                             f"{', '.join(common_params)}")
+            raise ValueError(
+                f"Please make sure you don't include and exclude "
+                f"the same parameters.\n"
+                f"Common parameters entered: "
+                f"{', '.join(common_params)}"
+            )
     if include_url_regex is not None and exclude_url_regex is not None:
         if include_url_regex == exclude_url_regex:
-            raise ValueError(f"Please make sure you don't include and exclude "
-                             f"the same regex pattern.\n"
-                             f"You entered '{include_url_regex}'.")
+            raise ValueError(
+                f"Please make sure you don't include and exclude "
+                f"the same regex pattern.\n"
+                f"You entered '{include_url_regex}'."
+            )
 
     settings_list = []
     if custom_settings is not None:
         for key, val in custom_settings.items():
             if isinstance(val, (dict, list, set, tuple)):
-                setting = '='.join([key, json.dumps(val)])
+                setting = "=".join([key, json.dumps(val)])
             else:
-                setting = '='.join([key, str(val)])
-            settings_list.extend(['-s', setting])
-
-    command = ['scrapy', 'runspider', spider_path,
-               '-a', 'url_list=' + ','.join(url_list),
-               '-a', 'allowed_domains=' + ','.join(allowed_domains),
-               '-a', 'follow_links=' + str(follow_links),
-               '-a', 'exclude_url_params=' + str(exclude_url_params),
-               '-a', 'include_url_params=' + str(include_url_params),
-               '-a', 'exclude_url_regex=' + str(exclude_url_regex),
-               '-a', 'include_url_regex=' + str(include_url_regex),
-               '-a', 'css_selectors=' + str(css_selectors),
-               '-a', 'xpath_selectors=' + str(xpath_selectors),
-               '-o', output_file] + settings_list
-    if len(','.join(url_list)) > MAX_CMD_LENGTH:
+                setting = "=".join([key, str(val)])
+            settings_list.extend(["-s", setting])
+
+    command = [
+        "scrapy",
+        "runspider",
+        spider_path,
+        "-a",
+        "url_list=" + ",".join(url_list),
+        "-a",
+        "allowed_domains=" + ",".join(allowed_domains),
+        "-a",
+        "follow_links=" + str(follow_links),
+        "-a",
+        "exclude_url_params=" + str(exclude_url_params),
+        "-a",
+        "include_url_params=" + str(include_url_params),
+        "-a",
+        "exclude_url_regex=" + str(exclude_url_regex),
+        "-a",
+        "include_url_regex=" + str(include_url_regex),
+        "-a",
+        "css_selectors=" + str(css_selectors),
+        "-a",
+        "xpath_selectors=" + str(xpath_selectors),
+        "-o",
+        output_file,
+    ] + settings_list
+    if len(",".join(url_list)) > MAX_CMD_LENGTH:
         split_urls = _split_long_urllist(url_list)
 
         for u_list in split_urls:
-            command[4] = 'url_list=' + ','.join(u_list)
+            command[4] = "url_list=" + ",".join(u_list)
             subprocess.run(command)
     else:
         subprocess.run(command)

diff --git a/docs/_build/html/_modules/advertools/twitter.html b/docs/_build/html/_modules/advertools/twitter.html
index b282e076..7535d66c 100644
--- a/docs/_build/html/_modules/advertools/twitter.html
+++ b/docs/_build/html/_modules/advertools/twitter.html
@@ -169,7 +169,7 @@ 
Source code for advertools.twitter
    >>> import advertools as adv
    >>> adv.twitter.set_auth_params(**auth_params)
 
-In some cases, you might be required to add ``oauth_token`` and 
+In some cases, you might be required to add ``oauth_token`` and
 ``oauth_token_secret, which case you ``auth_params`` will look like this:
 
 .. code-block:: python
@@ -212,23 +212,25 @@ 
Source code for advertools.twitter
     from pandas.io.json import json_normalize
 
 
-TWITTER_LOG_FMT = ('%(asctime)s | %(levelname)s | %(filename)s:%(lineno)d '
-                   '| %(funcName)s | %(message)s')
+TWITTER_LOG_FMT = (
+    "%(asctime)s | %(levelname)s | %(filename)s:%(lineno)d "
+    "| %(funcName)s | %(message)s"
+)
 logging.basicConfig(format=TWITTER_LOG_FMT)
 
 # Functions that depend on 'previous_cursor' and 'next_cursor' to
 # navigate requests with a lot of data, request pagination basically.
 CURSORED_FUNCTIONS = [
-    'get_followers_ids',
-    'get_followers_list',
-    'get_friends_ids',
-    'get_friends_list',
-    'get_list_members',
-    'get_list_memberships',
-    'get_list_subscribers',
-    'get_list_subscriptions',
-    'get_retweeters_ids',
-    'show_owned_lists',
+    "get_followers_ids",
+    "get_followers_list",
+    "get_friends_ids",
+    "get_friends_list",
+    "get_list_members",
+    "get_list_memberships",
+    "get_list_subscribers",
+    "get_list_subscriptions",
+    "get_retweeters_ids",
+    "show_owned_lists",
 ]
 
 
@@ -237,88 +239,93 @@ 
Source code for advertools.twitter
 # that key, as opposed to other responses where you can easily
 # call DataFrame on them directly
 SPECIAL_KEY_FUNCS = {
-    'search': 'statuses',
-    'get_followers_list': 'users',
-    'get_friends_list': 'users',
-    'get_list_members': 'users',
-    'get_list_subscribers': 'users',
-    'get_list_memberships': 'lists',
-    'get_list_subscriptions': 'lists',
-    'show_owned_lists': 'lists',
-
+    "search": "statuses",
+    "get_followers_list": "users",
+    "get_friends_list": "users",
+    "get_list_members": "users",
+    "get_list_subscribers": "users",
+    "get_list_memberships": "lists",
+    "get_list_subscriptions": "lists",
+    "show_owned_lists": "lists",
 }
 
 
 # Functions that contain an embedded ``user`` key, containing
 # 40+ attributes of the user tweeting, listed, retweeted, etc.
 USER_DATA_EMBEDDED = {
-    'get_favorites': 'tweet_',
-    'get_home_timeline': 'tweet_',
-    'get_list_memberships': 'list_',
-    'get_list_statuses': 'tweet_',
-    'get_list_subscriptions': '',
-    'get_mentions_timeline': 'tweet_',
-    'get_retweets': 'tweet_',
-    'get_user_timeline': 'tweet_',
-    'lookup_status': 'tweet_',
-    'retweeted_of_me': 'tweet_',
-    'search': 'tweet_',
-    'show_lists': 'list_',
-    'show_owned_lists': 'list_',
+    "get_favorites": "tweet_",
+    "get_home_timeline": "tweet_",
+    "get_list_memberships": "list_",
+    "get_list_statuses": "tweet_",
+    "get_list_subscriptions": "",
+    "get_mentions_timeline": "tweet_",
+    "get_retweets": "tweet_",
+    "get_user_timeline": "tweet_",
+    "lookup_status": "tweet_",
+    "retweeted_of_me": "tweet_",
+    "search": "tweet_",
+    "show_lists": "list_",
+    "show_owned_lists": "list_",
 }
 
 
 DEFAULT_COUNTS = {
-    'get_favorites': 200,
-    'get_followers_ids': 5000,
-    'get_followers_list': 200,
-    'get_friends_ids': 5000,
-    'get_friends_list': 200,
-    'get_home_timeline': 200,
-    'get_list_members': 5000,
-    'get_list_memberships': 1000,
-    'get_list_statuses': 100,
-    'get_list_subscribers': 5000,
-    'get_list_subscriptions': 1000,
-    'get_mentions_timeline': 200,
-    'get_retweeters_ids': 100,
-    'get_retweets': 100,
-    'get_user_timeline': 200,
-    'lookup_status': 100,
-    'lookup_user': 100,
-    'retweeted_of_me': 100,
-    'search': 100,
-    'search_users': 20,
-    'show_lists': 100,
-    'show_owned_lists': 1000
+    "get_favorites": 200,
+    "get_followers_ids": 5000,
+    "get_followers_list": 200,
+    "get_friends_ids": 5000,
+    "get_friends_list": 200,
+    "get_home_timeline": 200,
+    "get_list_members": 5000,
+    "get_list_memberships": 1000,
+    "get_list_statuses": 100,
+    "get_list_subscribers": 5000,
+    "get_list_subscriptions": 1000,
+    "get_mentions_timeline": 200,
+    "get_retweeters_ids": 100,
+    "get_retweets": 100,
+    "get_user_timeline": 200,
+    "lookup_status": 100,
+    "lookup_user": 100,
+    "retweeted_of_me": 100,
+    "search": 100,
+    "search_users": 20,
+    "show_lists": 100,
+    "show_owned_lists": 1000,
 }
 
 
 def _expand_entities(df):
-    if 'tweet_entities' in df:
-        colnames = ['tweet_entities_' + x for x in ['mentions', 'hashtags',
-                                                    'urls', 'symbols',
-                                                    'media']]
-        entities_df = json_normalize(df['tweet_entities'])
-        mentions = [', '.join(['@' + x['screen_name'] for x in y])
-                    for y in entities_df['user_mentions']]
-        hashtags = [', '.join(['#' + x['text'] for x in y])
-                    for y in entities_df['hashtags']]
-        urls = [', '.join([x['expanded_url'] for x in y])
-                for y in entities_df['urls']]
-        symbols = [', '.join(['$' + x['text'] for x in y])
-                   for y in entities_df['symbols']]
-
-        if 'media' in entities_df:
-            entities_df['media'] = entities_df['media'].fillna('')
-            media = [', '.join([x['media_url'] for x in y]) if y != '' else
-                     y for y in entities_df['media']]
+    if "tweet_entities" in df:
+        colnames = [
+            "tweet_entities_" + x
+            for x in ["mentions", "hashtags", "urls", "symbols", "media"]
+        ]
+        entities_df = json_normalize(df["tweet_entities"])
+        mentions = [
+            ", ".join(["@" + x["screen_name"] for x in y])
+            for y in entities_df["user_mentions"]
+        ]
+        hashtags = [
+            ", ".join(["#" + x["text"] for x in y]) for y in entities_df["hashtags"]
+        ]
+        urls = [", ".join([x["expanded_url"] for x in y]) for y in entities_df["urls"]]
+        symbols = [
+            ", ".join(["$" + x["text"] for x in y]) for y in entities_df["symbols"]
+        ]
+
+        if "media" in entities_df:
+            entities_df["media"] = entities_df["media"].fillna("")
+            media = [
+                ", ".join([x["media_url"] for x in y]) if y != "" else y
+                for y in entities_df["media"]
+            ]
             entity_cols = [mentions, hashtags, urls, symbols, media]
         else:
             entity_cols = [mentions, hashtags, urls, symbols]
-        col_idx = df.columns.get_loc('tweet_entities')
+        col_idx = df.columns.get_loc("tweet_entities")
         for j, col in enumerate(entity_cols):
-            df.insert(col_idx+j+1, colnames[j], col)
+            df.insert(col_idx + j + 1, colnames[j], col)
     return df
 
 
@@ -341,9 +348,9 @@ 
Source code for advertools.twitter
     def wrapper(count=None, max_id=None, *args, **kwargs):
         nonlocal func
 
-        twtr = Twython(**wrapper.get_auth_params())
+        twtr = Twython(**wrapper.get_auth_params())  # noqa: F841
         fname = func.__name__
-        func = eval('twtr.' + fname)
+        func = eval("twtr." + fname)
 
         if count is None:
             count = DEFAULT_COUNTS[fname]
@@ -351,38 +358,50 @@ 
Source code for advertools.twitter
 
         responses = []
         for i, count in enumerate(counts):
-            if fname == 'search':
-                if responses and not responses[-1]['statuses']:
+            if fname == "search":
+                if responses and not responses[-1]["statuses"]:
                     break
-                max_id = (max_id or None) if i == 0 else (responses[-1]['statuses'][-1]['id'] - 1)
-            if (fname != 'search') and (fname not in CURSORED_FUNCTIONS):
+                max_id = (
+                    (max_id or None)
+                    if i == 0
+                    else (responses[-1]["statuses"][-1]["id"] - 1)
+                )
+            if (fname != "search") and (fname not in CURSORED_FUNCTIONS):
                 if responses and len(responses[-1]) == 0:
                     break
-                max_id = (max_id or None) if i == 0 else (responses[-1][-1]['id'] - 1)
+                max_id = (max_id or None) if i == 0 else (responses[-1][-1]["id"] - 1)
             if fname in CURSORED_FUNCTIONS:
-                cursor = None if i == 0 else responses[-1]['next_cursor']
+                cursor = None if i == 0 else responses[-1]["next_cursor"]
                 max_id = None
             else:
                 cursor = None
-            kwargs_log = ', '.join([k + '=' + str(v) for k, v in kwargs.items()])
-            args_log = ', '.join(args)
-            logging.info(msg=fname + ' | ' + 'Requesting: ' +
-                         'count=' + str(count) + ', max_id=' +
-                         str(max_id) + ', ' + kwargs_log + args_log)
-
-            resp = func(count=count,
-                        max_id=max_id,
-                        cursor=cursor,
-                        *args, **kwargs)
+            kwargs_log = ", ".join([k + "=" + str(v) for k, v in kwargs.items()])
+            args_log = ", ".join(args)
+            logging.info(
+                msg=fname
+                + " | "
+                + "Requesting: "
+                + "count="
+                + str(count)
+                + ", max_id="
+                + str(max_id)
+                + ", "
+                + kwargs_log
+                + args_log
+            )
+
+            resp = func(count=count, max_id=max_id, cursor=cursor, *args, **kwargs)  # noqa: B026
             responses.append(resp)
 
-        if '_ids' in fname:
+        if "_ids" in fname:
             finallist = []
             for sublist in responses:
-                finallist.extend(sublist['ids'])
-            finaldict = {'previous_cursor': responses[0]['previous_cursor'],
-                         'next_cursor': responses[-1]['next_cursor'],
-                         'ids': finallist}
+                finallist.extend(sublist["ids"])
+            finaldict = {
+                "previous_cursor": responses[0]["previous_cursor"],
+                "next_cursor": responses[-1]["next_cursor"],
+                "ids": finallist,
+            }
             return finaldict
 
         final_df = pd.DataFrame()
@@ -390,9 +409,13 @@ 
Source code for advertools.twitter
             if SPECIAL_KEY_FUNCS.get(fname):
                 resp_df = pd.DataFrame(resp[SPECIAL_KEY_FUNCS.get(fname)])
                 if fname in USER_DATA_EMBEDDED:
-                    resp_df.columns = [USER_DATA_EMBEDDED[fname] + col for col in resp_df.columns]
-                    user_df = pd.DataFrame([x['user'] for x in resp[SPECIAL_KEY_FUNCS.get(fname)]])
-                    user_df.columns = ['user_' + col for col in user_df.columns]
+                    resp_df.columns = [
+                        USER_DATA_EMBEDDED[fname] + col for col in resp_df.columns
+                    ]
+                    user_df = pd.DataFrame(
+                        [x["user"] for x in resp[SPECIAL_KEY_FUNCS.get(fname)]]
+                    )
+                    user_df.columns = ["user_" + col for col in user_df.columns]
                     temp_df = pd.concat([resp_df, user_df], axis=1, sort=False)
                 else:
                     temp_df = resp_df
@@ -400,25 +423,30 @@ 
Source code for advertools.twitter
                 resp_df = pd.DataFrame(resp)
 
                 if fname in USER_DATA_EMBEDDED:
-                    resp_df.columns = [USER_DATA_EMBEDDED[fname] + x for x in resp_df.columns]
-                    user_df = pd.DataFrame([x['user'] for x in resp])
-                    user_df.columns = ['user_' + x for x in user_df.columns]
+                    resp_df.columns = [
+                        USER_DATA_EMBEDDED[fname] + x for x in resp_df.columns
+                    ]
+                    user_df = pd.DataFrame([x["user"] for x in resp])
+                    user_df.columns = ["user_" + x for x in user_df.columns]
                     temp_df = pd.concat([resp_df, user_df], axis=1)
                 else:
                     temp_df = resp_df
             final_df = pd.concat([final_df, temp_df], sort=False, ignore_index=True)
 
         for col in final_df:
-            if 'created_at' in col:
+            if "created_at" in col:
                 final_df[col] = pd.to_datetime(final_df[col])
         for col in final_df:
-            if 'source' in col:
-                final_df[col + '_url'] = final_df[col].str.extract('<a href="(.*)" rel=')[0]
+            if "source" in col:
+                final_df[col + "_url"] = final_df[col].str.extract(
+                    '<a href="(.*)" rel='
+                )[0]
                 final_df[col] = final_df[col].str.extract('nofollow">(.*)</a>')[0]
-        if 'tweet_entities' in final_df:
+        if "tweet_entities" in final_df:
             return _expand_entities(final_df)
 
         return final_df
+
     return wrapper

 
 
@@ -428,6 +456,7 @@ 
Source code for advertools.twitter
 def authenticate(func):
     """Used internally, please use set_auth_params for authentication."""
     auth_params = {}
+
     @wraps(func)
     def wrapper(*args, **kwargs):
         return func(*args, **kwargs)
@@ -461,18 +490,21 @@ 
Source code for advertools.twitter
     twtr = Twython(**get_application_rate_limit_status.get_auth_params())
     ratelimit = twtr.get_application_rate_limit_status()
     limit_df = pd.DataFrame()
-    for resource in ratelimit['resources']:
-        temp_df = pd.DataFrame(ratelimit['resources'][resource]).T
+    for resource in ratelimit["resources"]:
+        temp_df = pd.DataFrame(ratelimit["resources"][resource]).T
         limit_df = pd.concat([limit_df, temp_df], sort=False)
-    limit_df['reset'] = pd.to_datetime(limit_df['reset'], unit='s')
-    limit_df['resource'] = limit_df.index.str.split('/').str[1]
-    limit_df.index.name = 'endpoint'
-    limit_df = limit_df.sort_values(['resource'])
+    limit_df["reset"] = pd.to_datetime(limit_df["reset"], unit="s")
+    limit_df["resource"] = limit_df.index.str.split("/").str[1]
+    limit_df.index.name = "endpoint"
+    limit_df = limit_df.sort_values(["resource"])
     limit_df = limit_df.reset_index()
     if consumed_only:
-        print(' '*12, 'Rate limit as of:',
-              pd.Timestamp.now(tz='UTC').strftime('%Y-%m-%-d %H:%M:%S'))
-        return limit_df[limit_df['limit'].ne(limit_df['remaining'])]
+        print(
+            " " * 12,
+            "Rate limit as of:",
+            pd.Timestamp.now(tz="UTC").strftime("%Y-%m-%-d %H:%M:%S"),
+        )
+        return limit_df[limit_df["limit"].ne(limit_df["remaining"])]
     return limit_df

 
 
@@ -490,10 +522,10 @@ 
Source code for advertools.twitter
 
     available_trends = twtr.get_available_trends()
     trends_df = pd.DataFrame(available_trends)
-    trends_df['code'] = [x['code'] for x in trends_df['placeType']]
-    trends_df['place_type'] = [x['name'] for x in trends_df['placeType']]
-    del trends_df['placeType']
-    trends_df = trends_df.sort_values(['country', 'place_type', 'name'])
+    trends_df["code"] = [x["code"] for x in trends_df["placeType"]]
+    trends_df["place_type"] = [x["name"] for x in trends_df["placeType"]]
+    del trends_df["placeType"]
+    trends_df = trends_df.sort_values(["country", "place_type", "name"])
     trends_df = trends_df.reset_index(drop=True)
     return trends_df

 
@@ -503,8 +535,15 @@ 
Source code for advertools.twitter
 [docs]
 @make_dataframe
 @authenticate
-def get_favorites(user_id=None, screen_name=None, count=None, since_id=None,
-                  max_id=None, include_entities=None, tweet_mode=None):
+def get_favorites(
+    user_id=None,
+    screen_name=None,
+    count=None,
+    since_id=None,
+    max_id=None,
+    include_entities=None,
+    tweet_mode=None,
+):
     """
     Returns the 20 most recent Tweets favorited by the authenticating
         or specified user.
@@ -537,8 +576,9 @@ 
Source code for advertools.twitter
 [docs]
 @make_dataframe
 @authenticate
-def get_followers_ids(user_id=None, screen_name=None, cursor=None,
-                      stringify_ids=None, count=None):
+def get_followers_ids(
+    user_id=None, screen_name=None, cursor=None, stringify_ids=None, count=None
+):
     """
     Returns a cursored collection of user IDs for every user
         following the specified user.
@@ -569,8 +609,14 @@ 
Source code for advertools.twitter
 [docs]
 @make_dataframe
 @authenticate
-def get_followers_list(user_id=None, screen_name=None, cursor=None, count=None,
-                       skip_status=None, include_user_entities=None):
+def get_followers_list(
+    user_id=None,
+    screen_name=None,
+    cursor=None,
+    count=None,
+    skip_status=None,
+    include_user_entities=None,
+):
     """
     Returns a cursored collection of user objects for users
         following the specified user.
@@ -601,8 +647,9 @@ 
Source code for advertools.twitter
 [docs]
 @make_dataframe
 @authenticate
-def get_friends_ids(user_id=None, screen_name=None, cursor=None,
-                    stringify_ids=None, count=None):
+def get_friends_ids(
+    user_id=None, screen_name=None, cursor=None, stringify_ids=None, count=None
+):
     """
     Returns a cursored collection of user IDs for every user the
         specified user is following (otherwise known as their "friends").
@@ -633,8 +680,14 @@ 
Source code for advertools.twitter
 [docs]
 @make_dataframe
 @authenticate
-def get_friends_list(user_id=None, screen_name=None, cursor=None, count=None,
-                     skip_status=None, include_user_entities=None):
+def get_friends_list(
+    user_id=None,
+    screen_name=None,
+    cursor=None,
+    count=None,
+    skip_status=None,
+    include_user_entities=None,
+):
     """
     Returns a cursored collection of user objects for every user the
         specified user is following (otherwise known as their "friends").
@@ -664,8 +717,15 @@ 
Source code for advertools.twitter
 [docs]
 @make_dataframe
 @authenticate
-def get_home_timeline(count=None, since_id=None, max_id=None, trim_user=None,
-                      exclude_replies=None, include_entities=None, tweet_mode=None):
+def get_home_timeline(
+    count=None,
+    since_id=None,
+    max_id=None,
+    trim_user=None,
+    exclude_replies=None,
+    include_entities=None,
+    tweet_mode=None,
+):
     """
     Returns a collection of the most recent Tweets and retweets
         posted by the authenticating user and the users they follow.
@@ -702,8 +762,16 @@ 
Source code for advertools.twitter
 [docs]
 @make_dataframe
 @authenticate
-def get_list_members(list_id=None, slug=None, owner_screen_name=None, owner_id=None,
-                     count=None, cursor=None, include_entities=None, skip_status=None):
+def get_list_members(
+    list_id=None,
+    slug=None,
+    owner_screen_name=None,
+    owner_id=None,
+    count=None,
+    cursor=None,
+    include_entities=None,
+    skip_status=None,
+):
     """
     Returns the members of the specified list.
 
@@ -737,8 +805,9 @@ 
Source code for advertools.twitter
 [docs]
 @make_dataframe
 @authenticate
-def get_list_memberships(user_id=None, screen_name=None, count=None,
-                         cursor=None, filter_to_owned_lists=None):
+def get_list_memberships(
+    user_id=None, screen_name=None, count=None, cursor=None, filter_to_owned_lists=None
+):
     """
     Returns the lists the specified user has been added to.
 
@@ -768,9 +837,18 @@ 
Source code for advertools.twitter
 [docs]
 @make_dataframe
 @authenticate
-def get_list_statuses(list_id=None, slug=None, owner_screen_name=None, owner_id=None,
-                      since_id=None, max_id=None, count=None, include_entities=None,
-                      include_rts=None, tweet_mode=None):
+def get_list_statuses(
+    list_id=None,
+    slug=None,
+    owner_screen_name=None,
+    owner_id=None,
+    since_id=None,
+    max_id=None,
+    count=None,
+    include_entities=None,
+    include_rts=None,
+    tweet_mode=None,
+):
     """
     Returns a timeline of tweets authored by members of the specified list.
 
@@ -813,8 +891,16 @@ 
Source code for advertools.twitter
 [docs]
 @make_dataframe
 @authenticate
-def get_list_subscribers(list_id=None, slug=None, owner_screen_name=None, owner_id=None,
-                         count=None, cursor=None, include_entities=None, skip_status=None):
+def get_list_subscribers(
+    list_id=None,
+    slug=None,
+    owner_screen_name=None,
+    owner_id=None,
+    count=None,
+    cursor=None,
+    include_entities=None,
+    skip_status=None,
+):
     """
     Returns the subscribers of the specified list.
 
@@ -851,8 +937,7 @@ 
Source code for advertools.twitter
 [docs]
 @make_dataframe
 @authenticate
-def get_list_subscriptions(user_id=None, screen_name=None, count=None,
-                           cursor=None):
+def get_list_subscriptions(user_id=None, screen_name=None, count=None, cursor=None):
     """
     Obtain a collection of the lists the specified user is subscribed to.
 
@@ -879,8 +964,14 @@ 
Source code for advertools.twitter
 [docs]
 @make_dataframe
 @authenticate
-def get_mentions_timeline(count=None, since_id=None, max_id=None,
-                          trim_user=None, include_entities=None, tweet_mode=None):
+def get_mentions_timeline(
+    count=None,
+    since_id=None,
+    max_id=None,
+    trim_user=None,
+    include_entities=None,
+    tweet_mode=None,
+):
     """
     Returns the 20 most recent mentions (tweets containing a users's
         @screen_name) for the authenticating user.
@@ -916,10 +1007,10 @@ 
Source code for advertools.twitter
     Returns the top 10 trending topics for a specific WOEID, if
         trending information is available for it.
 
-    :param id: (int or list of ints - required) run ``get_available_trends()`` for 
+    :param id: (int or list of ints - required) run ``get_available_trends()`` for
         the full listing.
-        The Yahoo! Where On Earth ID of the 
-        location to return trending information for. Global information is available 
+        The Yahoo! Where On Earth ID of the
+        location to return trending information for. Global information is available
         by using 1 as the WOEID .
     :param exclude: (str - optional) Setting this equal to hashtags will remove
         all hashtags from the trends list.
@@ -931,36 +1022,47 @@ 
Source code for advertools.twitter
     if isinstance(ids, int):
         ids = [ids]
     for place_id in ids:
-
         place_trends = twtr.get_place_trends(id=place_id)
-        trend_df = pd.DataFrame(place_trends[0]['trends'])
-        trend_df = trend_df.sort_values(['tweet_volume'], ascending=False)
-        trend_df['location'] = place_trends[0]['locations'][0]['name']
-        trend_df['woeid'] = place_trends[0]['locations'][0]['woeid']
-        trend_df['time'] = pd.to_datetime(place_trends[0]['created_at'])
+        trend_df = pd.DataFrame(place_trends[0]["trends"])
+        trend_df = trend_df.sort_values(["tweet_volume"], ascending=False)
+        trend_df["location"] = place_trends[0]["locations"][0]["name"]
+        trend_df["woeid"] = place_trends[0]["locations"][0]["woeid"]
+        trend_df["time"] = pd.to_datetime(place_trends[0]["created_at"])
 
         trends_df = pd.concat([trends_df, trend_df], ignore_index=True)
 
-    trends_df = trends_df.sort_values(['woeid', 'tweet_volume'],
-                                      ascending=[True, False])
+    trends_df = trends_df.sort_values(
+        ["woeid", "tweet_volume"], ascending=[True, False]
+    )
     trends_df = trends_df.reset_index(drop=True)
     available = get_available_trends()
-    available = available[['country', 'parentid', 'woeid', 'place_type']]
-    final_df = pd.merge(trends_df, available, on='woeid')
-    final_df['local_rank'] = (final_df
-                              .groupby('woeid')['tweet_volume']
-                              .rank(method='dense', ascending=False))
-    final_df['country_rank'] = (final_df
-                                .groupby('country')['tweet_volume']
-                                .rank(method='dense', ascending=False))
-    final_df = final_df[['name', 'location', 'tweet_volume', 'local_rank',
-                         'country', 'country_rank', 'time','place_type',
-                         'promoted_content', 'woeid', 'parentid']]
+    available = available[["country", "parentid", "woeid", "place_type"]]
+    final_df = pd.merge(trends_df, available, on="woeid")
+    final_df["local_rank"] = final_df.groupby("woeid")["tweet_volume"].rank(
+        method="dense", ascending=False
+    )
+    final_df["country_rank"] = final_df.groupby("country")["tweet_volume"].rank(
+        method="dense", ascending=False
+    )
+    final_df = final_df[
+        [
+            "name",
+            "location",
+            "tweet_volume",
+            "local_rank",
+            "country",
+            "country_rank",
+            "time",
+            "place_type",
+            "promoted_content",
+            "woeid",
+            "parentid",
+        ]
+    ]
     return final_df

 
 
 
-
 

 [docs]
 @make_dataframe
@@ -1017,7 +1119,6 @@ 
Source code for advertools.twitter
 
 
 
-
 

 [docs]
 @authenticate
@@ -1034,14 +1135,21 @@ 
Source code for advertools.twitter
 
 
 
-
 

 [docs]
 @make_dataframe
 @authenticate
-def get_user_timeline(user_id=None, screen_name=None, since_id=None,
-                      count=None, max_id=None, trim_user=None, exclude_replies=None,
-                      include_rts=None, tweet_mode=None):
+def get_user_timeline(
+    user_id=None,
+    screen_name=None,
+    since_id=None,
+    count=None,
+    max_id=None,
+    trim_user=None,
+    exclude_replies=None,
+    include_rts=None,
+    tweet_mode=None,
+):
     """
     Returns a collection of the most recent Tweets posted by the user
         indicated by the ``screen_name`` or ``user_id`` parameters.
@@ -1084,8 +1192,15 @@ 
Source code for advertools.twitter
 [docs]
 @make_dataframe
 @authenticate
-def lookup_status(id, include_entities=None, trim_user=None, map=None,
-                  include_ext_alt_text=None, include_card_uri=None, tweet_mode=None):
+def lookup_status(
+    id,
+    include_entities=None,
+    trim_user=None,
+    map=None,
+    include_ext_alt_text=None,
+    include_card_uri=None,
+    tweet_mode=None,
+):
     """
     Returns fully-hydrated tweet objects for up to 100 tweets per
         request, as specified by comma-separated values passed to the ``id``
@@ -1122,8 +1237,7 @@ 
Source code for advertools.twitter
 [docs]
 @make_dataframe
 @authenticate
-def lookup_user(screen_name=None, user_id=None, include_entities=None,
-                tweet_mode=None):
+def lookup_user(screen_name=None, user_id=None, include_entities=None, tweet_mode=None):
     """
     Returns fully-hydrated user objects for up to 100 users per request,
         as specified by comma-separated values passed to the ``user_id`` and/or
@@ -1151,8 +1265,15 @@ 
Source code for advertools.twitter
 [docs]
 @make_dataframe
 @authenticate
-def retweeted_of_me(count=None, since_id=None, max_id=None, trim_user=None,
-                    include_entities=None, include_user_entities=None, tweet_mode=None):
+def retweeted_of_me(
+    count=None,
+    since_id=None,
+    max_id=None,
+    trim_user=None,
+    include_entities=None,
+    include_user_entities=None,
+    tweet_mode=None,
+):
     """
     Returns the most recent tweets authored by the authenticating user
         that have been retweeted by others.
@@ -1186,9 +1307,19 @@ 
Source code for advertools.twitter
 [docs]
 @make_dataframe
 @authenticate
-def search(q, geocode=None, lang=None, locale=None, result_type=None,
-           count=None, until=None, since_id=None, max_id=None, include_entities=None,
-           tweet_mode=None):
+def search(
+    q,
+    geocode=None,
+    lang=None,
+    locale=None,
+    result_type=None,
+    count=None,
+    until=None,
+    since_id=None,
+    max_id=None,
+    include_entities=None,
+    tweet_mode=None,
+):
     """
     Returns a collection of relevant Tweets matching a specified query.
 
@@ -1296,7 +1427,7 @@ 
Source code for advertools.twitter
     +------------------------------------+-----------------------------------------------------+
 
     https://developer.twitter.com/en/docs/tweets/search/api-reference/get-search-tweets
-    """
+    """  # noqa: E501
     pass

 
 
@@ -1407,16 +1538,24 @@ 
Source code for advertools.twitter
 
 

 [docs]
-def set_auth_params(app_key=None, app_secret=None, oauth_token=None,
-                    oauth_token_secret=None, access_token=None,
-                    token_type='bearer', oauth_version=1, api_version='1.1',
-                    client_args=None, auth_endpoint='authenticate'):
-    """The main function for authentication. 
-    Needs to be called once in a session. 
-    
+def set_auth_params(
+    app_key=None,
+    app_secret=None,
+    oauth_token=None,
+    oauth_token_secret=None,
+    access_token=None,
+    token_type="bearer",
+    oauth_version=1,
+    api_version="1.1",
+    client_args=None,
+    auth_endpoint="authenticate",
+):
+    """The main function for authentication.
+    Needs to be called once in a session.
+
     First you need to create a developer account and app:
-    https://developer.twitter.com/ to get your credentials. 
-    
+    https://developer.twitter.com/ to get your credentials.
+
     Different ways to authenticate:
     https://twython.readthedocs.io/en/latest/usage/starting_out.html
     """
@@ -1427,7 +1566,7 @@ 
Source code for advertools.twitter
 
 
 
-logging.getLogger().setLevel('INFO')
+logging.getLogger().setLevel("INFO")
 

 
            

diff --git a/docs/_build/html/advertools.ad_create.html b/docs/_build/html/advertools.ad_create.html
index 29ecf95b..5e98ad61 100644
--- a/docs/_build/html/advertools.ad_create.html
+++ b/docs/_build/html/advertools.ad_create.html
@@ -175,40 +175,52 @@
 

 
Parameters:

 
    
-
  • template (str) -- a string format template, using braces e.g. "Get the
-latest {} today."
    • 
-
  • replacements (list) -- replacement strings to be inserted in
-template
    • 
-
  • fallback (str) -- the string to insert in template in case
-replacement is longer than max_len
    • 
-
  • max_len (int) -- the maximum allowed length of the full string
    • 
-
  • capitalize (bool) -- whether or not to capitalize words in the result
    • 
+
  • template (str) -- A string format template, using braces e.g. "Get the latest {} today."
    • 
+
  • replacements (list) -- Replacement strings to be inserted in template.
    • 
+
  • fallback (str) -- The string to insert in template in case replacement is longer
+than max_len.
    • 
+
  • max_len (int) -- The maximum allowed length of the full string.
    • 
+
  • capitalize (bool) -- Whether or not to capitalize words in the result.
    • 
 

 

-
Returns formatted:

-
list of strings

+
Returns:

+
formatted -- List of ads (strings).

+

+
Return type:

+
list

 

 

-
>>> ad_create("Let's count {}", ['one', 'two', 'three'], 'one', 20)
+
Examples

+
>>> ad_create("Let's count {}", ["one", "two", "three"], "one", 20)
 ["Let's Count One", "Let's Count Two", "Let's Count Three"]
 

 

-
>>> ad_create(template='My favorite car is {}',
-...           replacements=['Toyota', 'BMW', 'Mercedes', 'Lamborghini'],
-...           fallback='great',
-...           max_len=28)
+
>>> ad_create(
+...     template="My favorite car is {}",
+...     replacements=["Toyota", "BMW", "Mercedes", "Lamborghini"],
+...     fallback="great",
+...     max_len=28,
+... )
 ['My Favorite Car Is Toyota', 'My Favorite Car Is Bmw',
 'My Favorite Car Is Mercedes', 'My Favorite Car Is Great']
 

 

-
>>> ad_create('KeEP cApITalization {}', ['As IS'],
-...           fallback='fallback', max_len=50, capitalize=False)
+
>>> ad_create(
+...     "KeEP cApITalization {}",
+...     ["As IS"],
+...     fallback="fallback",
+...     max_len=50,
+...     capitalize=False,
+... )
 ['KeEP cApITalization As IS']
 

 

-
>>> ad_create('This is very long and will produce and error',
-...           replacements=['something', 'long'], fallback='Very long',
-...           max_len=20)
+
>>> ad_create(
+...     "This is very long and will produce and error",
+...     replacements=["something", "long"],
+...     fallback="Very long",
+...     max_len=20,
+... )
 Traceback (most recent call last):
 File "<input>", line 1, in <module>
 File "<input>", line 26, in ad_create
diff --git a/docs/_build/html/advertools.code_recipes.spider_strategies.html b/docs/_build/html/advertools.code_recipes.spider_strategies.html
index c8431cc4..4f2ba7ac 100644
--- a/docs/_build/html/advertools.code_recipes.spider_strategies.html
+++ b/docs/_build/html/advertools.code_recipes.spider_strategies.html
@@ -292,9 +292,9 @@ 
How can I set multiple settings to the same crawl job?I want to crawl a list of pages, follow links from those pages, but only to a certain specified depth

 
Set the DEPTH_LIMIT setting in the custom_settings parameter. A setting
 of 1 would follow links one level after the provided URLs in url_list

-
>>> adv.crawl('http://example.com',
-...           'example_crawl_1.jl',
-...           custom_settings={'DEPTH_LIMIT': 2}) # follow links two levels from the initial URLs, then stop
+
>>> adv.crawl(
+...     "http://example.com", "example_crawl_1.jl", custom_settings={"DEPTH_LIMIT": 2}
+... )  # follow links two levels from the initial URLs, then stop
 

 

 
@@ -351,22 +351,23 @@ 
How do I use a proxy while crawling?https://user123:password123@12.34.56.78:1114

 
Then, you need to set a few custom_settings in the crawl function:

 
adv.crawl(
-    'https://example.com', 'output_file.jl', follow_links=True,
-
+    "https://example.com",
+    "output_file.jl",
+    follow_links=True,
     custom_settings={
-        'DOWNLOADER_MIDDLEWARES': {
-            'rotating_proxies.middlewares.RotatingProxyMiddleware': 610,
-            'rotating_proxies.middlewares.BanDetectionMiddleware': 620
+        "DOWNLOADER_MIDDLEWARES": {
+            "rotating_proxies.middlewares.RotatingProxyMiddleware": 610,
+            "rotating_proxies.middlewares.BanDetectionMiddleware": 620,
         },
-        'ROTATING_PROXY_LIST_PATH': 'proxies.txt',
-    }
+        "ROTATING_PROXY_LIST_PATH": "proxies.txt",
+    },
 )
 

 

 
You can then read the output file normally and see that the proxies are being
 used:

-
crawldf = pd.read_json('output_file.jl', lines=True)
-crawldf.filter(regex='proxy').head()
+
crawldf = pd.read_json("output_file.jl", lines=True)
+crawldf.filter(regex="proxy").head()
 

 

 
@@ -418,22 +419,22 @@ 
How can I change the default request headers?DEFAULT_REQUEST_HEADERS setting as a dictionary to the custom_settings
 parameter:

 
adv.crawl(
-    url_list='https://example.com',
-    output_file='output.jl',
+    url_list="https://example.com",
+    output_file="output.jl",
     custom_settings={
-        'DEFAULT_REQUEST_HEADERS': {
-            'Accept-Language': 'es',
-            'Accept-Encoding': 'gzip, deflate'
+        "DEFAULT_REQUEST_HEADERS": {
+            "Accept-Language": "es",
+            "Accept-Encoding": "gzip, deflate",
         }
-    }
+    },
 )
 

 

 
You can easily check for the actual request headers that were used while
 crawling. In the crawl DataFrame, simply use the regex pattern
 request_headers_:

-
crawldf = pd.read_json('output.jl', lines=True)
-crawldf.filter(regex='request_headers_')
+
crawldf = pd.read_json("output.jl", lines=True)
+crawldf.filter(regex="request_headers_")
 

 

 

diff --git a/docs/_build/html/advertools.extract.html b/docs/_build/html/advertools.extract.html
index cc8bac8c..7b877a0c 100644
--- a/docs/_build/html/advertools.extract.html
+++ b/docs/_build/html/advertools.extract.html
@@ -605,16 +605,20 @@ 
Extract Emoji 😂😭🥺🤣❤️✨🙏😍Parameters:
 
    
 
  • text_list (list) -- A list of text strings.
    • 
-
  • left_chars (int) -- The number of characters to extract, to the
-left of the symbol when getting surrounding_text
    • 
-
  • right_chars (int) -- The number of characters to extract, to the
-left of the symbol when getting surrounding_text
    • 
+
  • left_chars (int) -- The number of characters to extract, to the left of the symbol when getting
+surrounding_text
    • 
+
  • right_chars (int) -- The number of characters to extract, to the left of the symbol when getting
+surrounding_text
    • 
 

 

-
Returns summary:

-
A dictionary with various stats about currencies

+
Returns:

+
summary -- A dictionary with various stats about currencies.

+

+
Return type:

+
dict

 

 
+
Examples

 
>>> posts = ['today ₿1 is around $4k', 'and ₿ in £ & €?', 'no idea']
 >>> currency_summary = extract_currency(posts)
 >>> currency_summary.keys()
@@ -681,14 +685,19 @@ 
Extract Emoji 😂😭🥺🤣❤️✨🙏😍text_list

 
Get a summary of the number of exclamation marks, their frequency,
 the top ones, as well the exclamations written/said.

+

+
text_listlist
A list of text strings.

+

+

 

-
Parameters:

-
text_list (list) -- A list of text strings.

+
Returns:

+
summary -- A dictionary with various stats about exclamations.

 

-
Returns summary:

-
A dictionary with various stats about exclamations

+
Return type:

+
dict

 

 

+
Examples

 
>>> posts = ['Who are you!', 'What is this!', 'No exclamation here?']
 >>> exclamation_summary = extract_exclamations(posts)
 >>> exclamation_summary.keys()
@@ -792,14 +801,19 @@ 
Extract Emoji 😂😭🥺🤣❤️✨🙏😍text_list

 
Get a summary of the number of hashtags, their frequency, the top
 ones, and more.

+

+
text_listlist
A list of text strings.

+

+

 

-
Parameters:

-
text_list (list) -- A list of text strings.

+
Returns:

+
summary -- A dictionary with various stats about hashtags.

 

-
Returns summary:

-
A dictionary with various stats about hashtags

+
Return type:

+
dict

 

 

+
Examples

 
>>> posts = ['i like #blue', 'i like #green and #blue', 'i like all']
 >>> hashtag_summary = extract_hashtags(posts)
 >>> hashtag_summary.keys()
@@ -852,13 +866,16 @@ 
Extract Emoji 😂😭🥺🤣❤️✨🙏😍
 
Parameters:

 
    
-
  • text_list (list) -- A text list from which to extract intense words
    • 
-
  • min_reps (int) -- The number of times a character has to be repeated for
-the word to be considered intense.
    • 
+
  • text_list (list) -- A text list from which to extract intense words.
    • 
+
  • min_reps (int) -- The number of times a character has to be repeated for the word to be considered
+intense.
    • 
 

 

-
Returns summary:

-
A dictionary with various stats about intense words

+
Returns:

+
summary -- A dictionary with various stats about intense words.

+

+
Return type:

+
dict

 

 
 
@@ -873,10 +890,14 @@ 
Extract Emoji 😂😭🥺🤣❤️✨🙏😍Parameters:
 
text_list (list) -- A list of text strings.

 

-
Returns summary:

-
A dictionary with various stats about mentions

+
Returns:

+
summary -- A dictionary with various stats about mentions.

+

+
Return type:

+
dict

 

 
+
Examples

 
>>> posts = ['hello @john and @jenny', 'hi there @john', 'good morning']
 >>> mention_summary = extract_mentions(posts)
 >>> mention_summary.keys()
@@ -931,14 +952,18 @@ 
Extract Emoji 😂😭🥺🤣❤️✨🙏😍Parameters:
 
    
 
  • text_list (list) -- A list of text strings.
    • 
-
  • number_separators (list(str)) -- A list of separators that you want
-to be included as part of the extracted numbers.
    • 
+
  • number_separators (list) -- A list of separators that you want to be included as part of the extracted
+numbers.
    • 
 

 

-
Returns summary:

-
A dictionary with various stats about the numbers

+
Returns:

+
summary -- A dictionary with various stats about the numbers.

+

+
Return type:

+
dict

 

 
+
Examples

 
>>> posts = ['text before 123', '123,456 text after', 'phone 333-444-555',
 'multiple 123,456 and 123.456.789']
 >>> number_summary = extract_numbers(posts)
@@ -992,10 +1017,14 @@ 
Extract Emoji 😂😭🥺🤣❤️✨🙏😍Parameters:
 
text_list (list) -- A list of text strings.

 

-
Returns summary:

-
A dictionary with various stats about questions

+
Returns:

+
summary -- A dictionary with various stats about questions.

+

+
Return type:

+
dict

 

 
+
Examples

 
>>> posts = ['How are you?', 'What is this?', 'No question Here!']
 >>> question_summary = extract_questions(posts)
 >>> question_summary.keys()
@@ -1106,10 +1135,14 @@ 
Extract Emoji 😂😭🥺🤣❤️✨🙏😍Parameters:
 
text_list (list) -- A list of text strings.

 

-
Returns summary:

-
A dictionary with various stats about URLs

+
Returns:

+
summary -- A dictionary with various stats about URLs.

+

+
Return type:

+
dict

 

 
+
Examples

 
>>> posts = ['one link http://example.com', 'two: http://a.com www.b.com',
 ...          'no links here',
 ...          'long url http://example.com/one/two/?1=one&2=two']
@@ -1178,17 +1211,19 @@ 
Extract Emoji 😂😭🥺🤣❤️✨🙏😍Parameters:
 
    
 
  • text_list (list) -- A list of text strings.
    • 
-
  • words_to_extract (list) -- A list of words to extract from
-text_list.
    • 
-
  • entire_words_only (bool) -- Whether or not to find only complete words
-(as specified by words_to_find) or find any any of the
-words as part of longer strings.
    • 
+
  • words_to_extract (list) -- A list of words to extract from text_list.
    • 
+
  • entire_words_only (bool) -- Whether or not to find only complete words (as specified by words_to_find)
+or find any any of the words as part of longer strings.
    • 
 

 

-
Returns summary:

-
A dictionary with various stats about the words

+
Returns:

+
summary -- A dictionary with various stats about the words.

+

+
Return type:

+
dict

 

 
+
Examples

 
>>> posts = ['there is rain, it is raining', 'there is snow and rain',
              'there is no rain, it is snowing', 'there is nothing']
 >>> word_summary = extract_words(posts, ['rain', 'snow'], True)
diff --git a/docs/_build/html/advertools.knowledge_graph.html b/docs/_build/html/advertools.knowledge_graph.html
index dbae7ade..0b0a7eae 100644
--- a/docs/_build/html/advertools.knowledge_graph.html
+++ b/docs/_build/html/advertools.knowledge_graph.html
@@ -196,7 +196,7 @@ 
How to use Google's Knowledge Graph API
>>> knowledge_graph(key=key, query=['google', 'bing'], languages=['en', 'fr', 'de'])
+
>>> knowledge_graph(key=key, query=["google", "bing"], languages=["en", "fr", "de"])
 

 

 
The function will send 2 (queries) x 3 languages = 6 requests.

@@ -205,7 +205,11 @@ 
How to use Google's Knowledge Graph API
>>> seo = knowledge_graph(key=key, query=['seo', 'search engine optimization'], languages=['en', 'es', 'de'])
+
>>> seo = knowledge_graph(
+...     key=key,
+...     query=["seo", "search engine optimization"],
+...     languages=["en", "es", "de"],
+... )
 >>> seo
         query                           languages       resultScore         result.name                      result.@type                                          result.description
 0       search engine optimization      de                     3587         Suchmaschinenoptimierung             ['Thing']                                         nan
@@ -248,29 +252,30 @@ 
How to use Google's Knowledge Graph API
 
Parameters:

 

 

+
Returns:

+
    
+
  • kg_df (pandas.DataFrame) -- A DataFrame of all responses.
    • 
+
  • https (//developers.google.com/knowledge-graph/reference/rest/v1)
    • 
+

+

+

 
-
https://developers.google.com/knowledge-graph/reference/rest/v1

 
 
 
diff --git a/docs/_build/html/advertools.logs.html b/docs/_build/html/advertools.logs.html
index 0dcbf2b7..0c2c0fbe 100644
--- a/docs/_build/html/advertools.logs.html
+++ b/docs/_build/html/advertools.logs.html
@@ -139,12 +139,14 @@
 
TL;DR

 
>>> import advertools as adv
 >>> import pandas as pd
->>> adv.logs_to_df(log_file='access.log',
-...                output_file='access_logs.parquet',
-...                errors_file='log_errors.csv',
-...                log_format='common',
-...                fields=None)
->>> logs_df = pd.read_parquet('access_logs.parquet')
+>>> adv.logs_to_df(
+...     log_file="access.log",
+...     output_file="access_logs.parquet",
+...     errors_file="log_errors.csv",
+...     log_format="common",
+...     fields=None,
+... )
+>>> logs_df = pd.read_parquet("access_logs.parquet")
 

 

 

@@ -2037,7 +2039,7 @@ 
Parse and Analyze Crawl Logs in a Dataframecrawllogs_to_df() function to open the logs in a
 DataFrame:

 
>>> import advertools as adv
->>> logs_df = adv.crawllogs_to_df('example.log')
+>>> logs_df = adv.crawllogs_to_df("example.log")
 

 

 
The DataFrame might contain the following columns:

@@ -2079,7 +2081,7 @@ 
Parse and Analyze Crawl Logs in a Dataframe              output_file='example.jl',
               follow_links=True,
               custom_settings={'LOG_FILE': 'example.log'})
->>> logs_df = adv.crawl_logs_to_df('example.log')
+>>> logs_df = adv.crawl_logs_to_df("example.log")
 

 

 

@@ -2102,39 +2104,36 @@ 
Parse and Analyze Crawl Logs in a Dataframeadv.LOG_FORMATS and adv.LOG_FIELDS for the
 available formats and fields.

-
>>> import advertools as adv
->>> import pandas as pd
->>> adv.logs_to_df(log_file='access.log',
-...                output_file='access_logs.parquet',
-...                errors_file='log_errors.csv',
-...                log_format='common',
-...                fields=None)
->>> logs_df = pd.read_parquet('access_logs.parquet')
-

-

-
You can now analyze logs_df as a normal pandas DataFrame.

 

 
Parameters:

 
    
 
  • log_file (str) -- The path to the log file.
    • 
-
  • output_file (str) -- The path to the desired output file. Must have a
-".parquet" extension, and must not have the same
-path as an existing file.
    • 
-
  • errors_file (str) -- The path where the parsing errors are stored. Any
-text format works, CSV is recommended to easily
-open it with any CSV reader with the separator as
-"@@".
    • 
-
  • log_format (str) -- Either the name of one of the supported log formats,
-or a regex of your own format.
    • 
-
  • fields (str) -- A list of fields, which will become the names of columns
-in output_file. Only required if you provide a
-custom (regex) log_format.
    • 
-
  • encoding (str) -- The encoding of the log file. It defaults to utf-8, but
-you might need to try others in case of errors
-(latin-1, utf-16, etc.)
    • 
+
  • output_file (str) -- The path to the desired output file. Must have a ".parquet" extension, and must
+not have the same path as an existing file.
    • 
+
  • errors_file (str) -- The path where the parsing errors are stored. Any text format works, CSV is
+recommended to easily open it with any CSV reader with the separator as "@@".
    • 
+
  • log_format (str) -- The name of one of the supported log formats, or a regex of your own format.
    • 
+
  • fields (list) -- A list of fields, which will become the names of columns in output_file. Only
+required if you provide a custom (regex) log_format.
    • 
+
  • encoding (str) -- The encoding of the log file. It defaults to utf-8, but you might need to try
+others in case of errors (latin-1, utf-16, etc.)
    • 
 

 

 

+
Examples

+
>>> import advertools as adv
+>>> import pandas as pd
+>>> adv.logs_to_df(
+...     log_file="access.log",
+...     output_file="access_logs.parquet",
+...     errors_file="log_errors.csv",
+...     log_format="common",
+...     fields=None,
+... )
+>>> logs_df = pd.read_parquet("access_logs.parquet")
+

+

+
You can now analyze logs_df as a normal pandas DataFrame.

 

 
 
diff --git a/docs/_build/html/advertools.reverse_dns_lookup.html b/docs/_build/html/advertools.reverse_dns_lookup.html
index da50c095..9498e6ad 100644
--- a/docs/_build/html/advertools.reverse_dns_lookup.html
+++ b/docs/_build/html/advertools.reverse_dns_lookup.html
@@ -254,9 +254,16 @@
 of the top ones.

 
Examples

 
>>> import advertools as adv
->>> ip_list = ['66.249.66.194', '66.249.66.194', '66.249.66.194',
-...            '66.249.66.91', '66.249.66.91', '130.185.74.243',
-...            '31.56.96.51', '5.211.97.39']
+>>> ip_list = [
+...     "66.249.66.194",
+...     "66.249.66.194",
+...     "66.249.66.194",
+...     "66.249.66.91",
+...     "66.249.66.91",
+...     "130.185.74.243",
+...     "31.56.96.51",
+...     "5.211.97.39",
+... ]
 >>> adv.reverse_dns_lookup([ip_list])
 

 

diff --git a/docs/_build/html/advertools.robotstxt.html b/docs/_build/html/advertools.robotstxt.html
index 03193f6f..79de4dc9 100644
--- a/docs/_build/html/advertools.robotstxt.html
+++ b/docs/_build/html/advertools.robotstxt.html
@@ -804,9 +804,27 @@ 
robots.txt Testing Approachurls.

 
All the combinations of user_agents and urls will be
 checked and the results returned in one DataFrame.

-
>>> robotstxt_test('https://facebook.com/robots.txt',
-...                user_agents=['*', 'Googlebot', 'Applebot'],
-...                urls=['/', '/bbc', '/groups', '/hashtag/'])
+

+
Parameters:

+
    
+
  • robotstxt_url (str) -- The URL of robotx.txt file.
    • 
+
  • user_agents (str, list) -- One or more user agents.
    • 
+
  • urls (str, list) -- One or more paths (relative) or URLs (absolute) to check.
    • 
+

+

+
Returns:

+
robotstxt_test_df -- A DataFrame with the test results per user-agent/rule combination.

+

+
Return type:

+
pandas.DataFrame

+

+

+
Examples

+
>>> robotstxt_test(
+...     "https://facebook.com/robots.txt",
+...     user_agents=["*", "Googlebot", "Applebot"],
+...     urls=["/", "/bbc", "/groups", "/hashtag/"],
+... )
                       robotstxt_url user_agent   url_path  can_fetch
 0   https://facebook.com/robots.txt          *          /      False
 1   https://facebook.com/robots.txt          *       /bbc      False
@@ -822,34 +840,40 @@ 
robots.txt Testing Approach11  https://facebook.com/robots.txt  Googlebot  /hashtag/      False
 

 

-

-
Parameters:

-
    
-
  • robotstxt_url (url) -- The URL of robotx.txt file
    • 
-
  • user_agents (str,list) -- One or more user agents
    • 
-
  • urls (str,list) -- One or more paths (relative) or URLs (absolute) to
-check
    • 
-

-

-
Return DataFrame robotstxt_test_df:

-

-

 
 
 

 

 robotstxt_to_df(robotstxt_url, output_file=None)[source]

 
Download the contents of robotstxt_url into a DataFrame

+

+
Parameters:

+
    
+
  • robotstxt_url (str) -- One or more URLs of the robots.txt file(s)
    • 
+
  • output_file (str) -- Optional file path to save the robots.txt files, mainly useful for downloading >
+500 files. The files are appended as soon as they are downloaded. Only the ".jl"
+extension is supported.
    • 
+

+

+
Returns:

+
robotstxt_df -- A DataFrame containing directives, their content, the URL and time of download

+

+
Return type:

+
pandas.DataFrame

+

+

+
Examples

 
You can also use it to download multiple robots files by passing a list of
 URLs.

-
>>> robotstxt_to_df('https://www.twitter.com/robots.txt')
+
>>> robotstxt_to_df("https://www.twitter.com/robots.txt")
      directive content                       robotstxt_url                     download_date
 0   User-agent           *  https://www.twitter.com/robots.txt      2020-09-27 21:57:23.702814+00:00
 1     Disallow           /  https://www.twitter.com/robots.txt      2020-09-27 21:57:23.702814+00:00
 

 

-
>>> robotstxt_to_df(['https://www.google.com/robots.txt',
-...                  'https://www.twitter.com/robots.txt'])
+
>>> robotstxt_to_df(
+...     ["https://www.google.com/robots.txt", "https://www.twitter.com/robots.txt"]
+... )
        directive                                 content        robotstxt_last_modified                            robotstxt_url                         download_date
 0     User-agent                                       *      2021-01-11 21:00:00+00:00        https://www.google.com/robots.txt      2021-01-16 14:08:50.087985+00:00
 1       Disallow                                 /search      2021-01-11 21:00:00+00:00        https://www.google.com/robots.txt      2021-01-16 14:08:50.087985+00:00
@@ -868,32 +892,21 @@ 
robots.txt Testing Approach
>>> robotstxt_to_df(['https://example.com/robots.txt',
-...                  'https://example.com/robots.txt',
-...                  'https://example.com/robots.txt'],
-...                 output_file='robots_output_file.jl')
+
>>> robotstxt_to_df(
+...     [
+...         "https://example.com/robots.txt",
+...         "https://example.com/robots.txt",
+...         "https://example.com/robots.txt",
+...     ],
+...     output_file="robots_output_file.jl",
+... )
 

 

 
To open the file as a DataFrame:

 
>>> import pandas as pd
->>> robotsfiles_df = pd.read_json('robots_output_file.jl', lines=True)
+>>> robotsfiles_df = pd.read_json("robots_output_file.jl", lines=True)
 

 

-

-
Parameters:

-
    
-
  • robotstxt_url (url) -- One or more URLs of the robots.txt file(s)
    • 
-
  • output_file (str) -- Optional file path to save the robots.txt files,
-mainly useful for downloading > 500 files. The
-files are appended as soon as they are downloaded.
-Only ".jl" extensions are supported.
    • 
-

-

-
Returns DataFrame robotstxt_df:

-
A DataFrame containing directives, their
-content, the URL and time of download

-

-

 

 
 
diff --git a/docs/_build/html/advertools.serp.html b/docs/_build/html/advertools.serp.html
index ef3e6c60..255745b5 100644
--- a/docs/_build/html/advertools.serp.html
+++ b/docs/_build/html/advertools.serp.html
@@ -285,7 +285,7 @@
 
Examples

 
The following function call will produce two queries:
 "hotel" in the USA, and "hotel" in France

-
>>> serp_goog(q='hotel', gl=['us', 'fr'], cx='YOUR_CX', key='YOUR_KEY')
+
>>> serp_goog(q="hotel", gl=["us", "fr"], cx="YOUR_CX", key="YOUR_KEY")
 

 

 
The below function call will prouce four queries and make four requests:

diff --git a/docs/_build/html/advertools.sitemaps.html b/docs/_build/html/advertools.sitemaps.html
index c662429c..3cb5426c 100644
--- a/docs/_build/html/advertools.sitemaps.html
+++ b/docs/_build/html/advertools.sitemaps.html
@@ -168,7 +168,7 @@ 
Sitemap Index
>>> sitemap_to_df('https://example.com/robots.txt', recursive=False)
+
>>> sitemap_to_df("https://example.com/robots.txt", recursive=False)
 

 

 
Let's now go through a quick example of what can be done with sitemaps. We can
diff --git a/docs/_build/html/advertools.spider.html b/docs/_build/html/advertools.spider.html
index 48eeba40..d7d07adf 100644
--- a/docs/_build/html/advertools.spider.html
+++ b/docs/_build/html/advertools.spider.html
@@ -147,8 +147,8 @@
 terms of performance, speed, as well as flexibility and customization.

 
There are two main approaches to crawl:

 
    
-
  1. Discovery (spider mode): You know the website to crawl, so you provide a url_list
-(one or more URLs), and you want the crawler to go through the whole
+
  2. Discovery (spider mode): You know the website to crawl, so you provide a
+url_list (one or more URLs), and you want the crawler to go through the whole
 website(s) by following all available links.
    3. 
 
  3. Pre-determined (list mode): You have a known set of URLs that you
 want to crawl and analyze, without following links or discovering new URLs.
    4. 
@@ -439,18 +439,26 @@ 
    Custom Extraction with CSS and XPath Selectors
    >>> adv.crawl('https://advertools.readthedocs.io/en/master/advertools.spider.html',
-...           'output_file.jl',
-...           css_selectors={'sidebar_links': '.toctree-l1 .internal::text',
-...                          'sidebar_links_url': '.toctree-l1 .internal::attr(href)'})
+
    >>> adv.crawl(
+...     "https://advertools.readthedocs.io/en/master/advertools.spider.html",
+...     "output_file.jl",
+...     css_selectors={
+...         "sidebar_links": ".toctree-l1 .internal::text",
+...         "sidebar_links_url": ".toctree-l1 .internal::attr(href)",
+...     },
+... )
 
    
 
    
 
    Or, instead of css_selectors you can add a similar dictionary for the
 xpath_selectors argument:
    
-
    >>> adv.crawl('https://advertools.readthedocs.io/en/master/advertools.spider.html',
-...           'output_file.jl',
-...           xpath_selectors={'sidebar_links': '//*[contains(concat( " ", @class, " " ), concat( " ", "toctree-l1", " " ))]//*[contains(concat( " ", @class, " " ), concat( " ", "internal", " " ))]/text()',
-...                            'sidebar_links_url': '//*[contains(concat( " ", @class, " " ), concat( " ", "toctree-l1", " " ))]//*[contains(concat( " ", @class, " " ), concat( " ", "internal", " " ))]/@href'})
+
    >>> adv.crawl(
+...     "https://advertools.readthedocs.io/en/master/advertools.spider.html",
+...     "output_file.jl",
+...     xpath_selectors={
+...         "sidebar_links": '//*[contains(concat( " ", @class, " " ), concat( " ", "toctree-l1", " " ))]//*[contains(concat( " ", @class, " " ), concat( " ", "internal", " " ))]/text()',
+...         "sidebar_links_url": '//*[contains(concat( " ", @class, " " ), concat( " ", "toctree-l1", " " ))]//*[contains(concat( " ", @class, " " ), concat( " ", "internal", " " ))]/@href',
+...     },
+... )
 
    
 
    
 
@@ -555,10 +563,15 @@ 
    Spider Custom Settings and Additional Functionality
 
    Usage
    
 
    A very simple dictionary to be added to your function call:
    
-
    >>> adv.crawl('http://exmaple.com', 'outpuf_file.jl',
-...           custom_settings={'CLOSESPIDER_PAGECOUNT': 100,
-...                            'CONCURRENT_REQUESTS_PER_DOMAIN': 1,
-...                            'USER_AGENT': 'custom-user-agent'})
+
    >>> adv.crawl(
+...     "http://exmaple.com",
+...     "outpuf_file.jl",
+...     custom_settings={
+...         "CLOSESPIDER_PAGECOUNT": 100,
+...         "CONCURRENT_REQUESTS_PER_DOMAIN": 1,
+...         "USER_AGENT": "custom-user-agent",
+...     },
+... )
 
    
 
    
 
    Please refer to the spider settings documentation
@@ -568,73 +581,60 @@ 
    Spider Custom Settings and Additional Functionality
 
    
 crawl(url_list, output_file, follow_links=False, allowed_domains=None, exclude_url_params=None, include_url_params=None, exclude_url_regex=None, include_url_regex=None, css_selectors=None, xpath_selectors=None, custom_settings=None)[source]
    
-
    Crawl a website's URLs based on the given url_list
    
+
    Crawl a website of a list of URLs based on the supplied options.
    
 
    
 
    Parameters:
    
 
      
-
    • url_list (url,list) -- One or more URLs to crawl. If follow_links
-is True, the crawler will start with these URLs and
-follow all links on pages recursively.
      • 
-
    • output_file (str) -- The path to the output of the crawl. Jsonlines only
-is supported to allow for dynamic values. Make sure
-your file ends with ".jl", e.g. output_file.jl.
      • 
-
    • follow_links (bool) -- Defaults to False. Whether or not to follow links
-on crawled pages.
      • 
-
    • exclude_url_params (list,bool) -- A list of URL parameters to exclude
-while following links. If a link
-contains any of those parameters,
-don't follow it. Setting it to
-True will exclude links
+
    • url_list (url, list) -- One or more URLs to crawl. If follow_links is True, the crawler will start
+with these URLs and follow all links on pages recursively.
      • 
+
    • output_file (str) -- The path to the output of the crawl. Jsonlines only is supported to allow for
+dynamic values. Make sure your file ends with ".jl", e.g. output_file.jl.
      • 
+
    • follow_links (bool) -- Defaults to False. Whether or not to follow links on crawled pages.
      • 
+
    • exclude_url_params (list, bool) -- A list of URL parameters to exclude while following links. If a link contains any
+of those parameters, don't follow it. Setting it to True will exclude links
 containing any parameter.
      • 
-
    • include_url_params (list) -- A list of URL parameters to include while
-following links. If a link contains any of
-those parameters, follow it. Having the
-same parmeters to include and exclude
+
    • include_url_params (list) -- A list of URL parameters to include while following links. If a link contains any
+of those parameters, follow it. Having the same parmeters to include and exclude
 raises an error.
      • 
-
    • exclude_url_regex (str) -- A regular expression of a URL pattern to
-exclude while following links. If a link
+
    • exclude_url_regex (str) -- A regular expression of a URL pattern to exclude while following links. If a link
 matches the regex don't follow it.
      • 
-
    • include_url_regex (str) -- A regular expression of a URL pattern to
-include while following links. If a link
+
    • include_url_regex (str) -- A regular expression of a URL pattern to include while following links. If a link
 matches the regex follow it.
      • 
-
    • css_selectors (dict) -- A dictionary mapping names to CSS selectors. The
-names will become column headers, and the
-selectors will be used to extract the required
-data/content.
      • 
-
    • xpath_selectors (dict) -- A dictionary mapping names to XPath selectors.
-The names will become column headers, and the
-selectors will be used to extract the required
-data/content.
      • 
-
    • custom_settings (dict) -- A dictionary of optional custom settings that
-you might want to add to the spider's
-functionality. There are over 170 settings for
-all kinds of options. For details please
-refer to the spider settings
+
    • css_selectors (dict) -- A dictionary mapping names to CSS selectors. The names will become column headers,
+and the selectors will be used to extract the required data/content.
      • 
+
    • xpath_selectors (dict) -- A dictionary mapping names to XPath selectors. The names will become column
+headers, and the selectors will be used to extract the required data/content.
      • 
+
    • custom_settings (dict) -- A dictionary of optional custom settings that you might want to add to the
+spider's functionality. There are over 170 settings for all kinds of options. For
+details please refer to the spider settings
 documentation.
      • 
-
    • allowed_domains (list) -- (optional) A list of the allowed domains to
-crawl. This ensures that the crawler does not
-attempt to crawl the whole web. If not
-specified, it defaults to the domains of the
-URLs provided in url_list and all their
-sub-domains. You can also specify a list of
-sub-domains, if you want to only crawl those.
      • 
+
    • allowed_domains (list) -- A list of the allowed domains to crawl. This ensures that the crawler does not
+attempt to crawl the whole web. If not specified, it defaults to the domains of
+the URLs provided in url_list and all their sub-domains. You can also specify
+a list of sub-domains, if you want to only crawl those.
      • 
 
    
 
    
-
    Examples:
    
-
    
 
    
+
    Examples
    
 
    Crawl a website and let the crawler discover as many pages as available
    
 
    >>> import advertools as adv
->>> adv.crawl('http://example.com', 'output_file.jl', follow_links=True)
+>>> adv.crawl("http://example.com", "output_file.jl", follow_links=True)
 >>> import pandas as pd
->>> crawl_df = pd.read_json('output_file.jl', lines=True)
+>>> crawl_df = pd.read_json("output_file.jl", lines=True)
 
    
 
    
 
    Crawl a known set of pages (on a single or multiple sites) without
 following links (just crawl the specified pages) or "list mode":
    
-
    >>> adv.crawl(['http://exmaple.com/product', 'http://exmaple.com/product2',
-...            'https://anotherexample.com', 'https://anotherexmaple.com/hello'],
-...            'output_file.jl', follow_links=False)
+
    >>> adv.crawl(
+...     [
+...         "http://exmaple.com/product",
+...         "http://exmaple.com/product2",
+...         "https://anotherexample.com",
+...         "https://anotherexmaple.com/hello",
+...     ],
+...     "output_file.jl",
+...     follow_links=False,
+... )
 
    
 
    
 
    Crawl a website, and in addition to standard SEO elements, also get the
@@ -643,10 +643,15 @@ 
    Spider Custom Settings and Additional Functionalityauthor_url. Note that you need to specify if you want the text attribute
 or the href attribute if you are working with links (and all other
 selectors).
    
-
    >>> adv.crawl('http://example.com', 'output_file.jl',
-...           css_selectors={'price': '.a-color-price::text',
-...                          'author': '.contributorNameID::text',
-...                          'author_url': '.contributorNameID::attr(href)'})
+
    >>> adv.crawl(
+...     "http://example.com",
+...     "output_file.jl",
+...     css_selectors={
+...         "price": ".a-color-price::text",
+...         "author": ".contributorNameID::text",
+...         "author_url": ".contributorNameID::attr(href)",
+...     },
+... )
 
    
 
    
 
    
diff --git a/docs/_build/html/searchindex.js b/docs/_build/html/searchindex.js
index 8e8eedea..d8c28484 100644
--- a/docs/_build/html/searchindex.js
+++ b/docs/_build/html/searchindex.js
@@ -1 +1 @@
-Search.setIndex({"docnames": ["advertools", "advertools.ad_create", "advertools.ad_from_string", "advertools.cli", "advertools.cli.cli", "advertools.code_recipes", "advertools.code_recipes.spider_strategies", "advertools.crawlytics", "advertools.emoji", "advertools.extract", "advertools.header_spider", "advertools.image_spider", "advertools.knowledge_graph", "advertools.kw_generate", "advertools.logs", "advertools.regex", "advertools.reverse_dns_lookup", "advertools.robotstxt", "advertools.serp", "advertools.sitemaps", "advertools.spider", "advertools.stopwords", "advertools.survey", "advertools.twitter", "advertools.url_builders", "advertools.urlytics", "advertools.word_frequency", "advertools.word_tokenize", "advertools.youtube", "include_changelog", "index", "modules", "readme"], "filenames": ["advertools.rst", "advertools.ad_create.rst", "advertools.ad_from_string.rst", "advertools.cli.rst", "advertools.cli.cli.rst", "advertools.code_recipes.rst", "advertools.code_recipes.spider_strategies.rst", "advertools.crawlytics.rst", "advertools.emoji.rst", "advertools.extract.rst", "advertools.header_spider.rst", "advertools.image_spider.rst", "advertools.knowledge_graph.rst", "advertools.kw_generate.rst", "advertools.logs.rst", "advertools.regex.rst", "advertools.reverse_dns_lookup.rst", "advertools.robotstxt.rst", "advertools.serp.rst", "advertools.sitemaps.rst", "advertools.spider.rst", "advertools.stopwords.rst", "advertools.survey.rst", "advertools.twitter.rst", "advertools.url_builders.rst", "advertools.urlytics.rst", "advertools.word_frequency.rst", "advertools.word_tokenize.rst", "advertools.youtube.rst", "include_changelog.rst", "index.rst", "modules.rst", "readme.rst"], "titles": ["advertools package", "Create Ads on a Large Scale", "Create Ads Using Long Descriptive Text (top-down approach)", "advertools.cli module", "advertools Command Line Interface (CLI)", "advertools.code_recipes package", "\ud83d\udd77 SEO Crawling & Scraping: Strategies & Recipes", "Crawling and Scraping Analysis", "Emoji: Extract, Analyze, and Get Insights", "Extract structured entities from text lists", "\ud83d\udd77 Python Status Code Checker with Response Headers", "Image Crawler and Downloader", "Import and Analyze Knowledge Graph Results on a Large Scale", "Generate Keywords for SEM Campaigns", "Log File Analysis", "Regular Expressions for Extracting Structured Entities", "Reverse DNS Lookup in Bulk", "\ud83e\udd16 Analyze and Test robots.txt Files on a Large Scale", "Import Search Engine Results Pages (SERPs) for Google and YouTube", "Download, Parse, and Analyze XML Sitemaps", "\ud83d\udd77 Python SEO Crawler / Spider", "Stopwords in Several Languages", "Survey - share feedback", "Twitter Data API", "URL Builders", "Split, Parse, and Analyze URL Structure", "Text Analysis", "Tokenize Words (N-grams)", "YouTube Data API", "advertools", "advertools", "advertools", "advertools: productivity & analysis tools to scale your online marketing"], "terms": {"cli": [0, 29, 30, 31], "code_recip": [0, 29, 30, 31], "seo": [0, 5, 12, 13, 17, 19, 26, 29, 31], "crawl": [0, 5, 10, 11, 16, 17, 25, 29, 30, 31, 32], "scrape": [0, 5, 14, 20, 29, 30, 31], "strategi": [0, 5, 7, 10, 11, 13, 17, 19, 20, 28, 30], "recip": [0, 5, 20, 29, 30], "how": [0, 2, 5, 7, 8, 9, 10, 13, 17, 19, 20, 23, 25, 26, 29, 30, 31, 32], "list": [0, 1, 2, 5, 7, 8, 10, 11, 12, 13, 14, 16, 17, 18, 19, 21, 23, 25, 26, 27, 28, 29, 30, 31, 32], "page": [0, 2, 4, 5, 7, 9, 10, 11, 12, 13, 14, 17, 19, 21, 23, 25, 26, 28, 29, 30, 31, 32], "those": [0, 2, 4, 5, 7, 10, 11, 12, 13, 14, 16, 17, 18, 19, 20, 25, 26, 28, 29, 30, 32], "onli": [0, 1, 4, 5, 7, 9, 10, 11, 14, 15, 17, 18, 19, 20, 23, 24, 26, 28, 29, 30, 32], "mode": [0, 4, 5, 9, 23, 29, 30, 31], "can": [0, 2, 4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17, 18, 19, 20, 21, 23, 25, 26, 27, 28, 29, 30, 32], "i": [0, 1, 2, 4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 23, 25, 26, 27, 28, 29, 30, 32], "websit": [0, 4, 5, 12, 14, 17, 18, 19, 20, 25, 28, 29, 30, 31, 32], "includ": [0, 4, 5, 7, 9, 11, 13, 14, 17, 18, 19, 20, 23, 25, 27, 28, 29, 30], "its": [0, 1, 4, 5, 7, 8, 10, 12, 13, 14, 19, 20, 23, 25, 26, 28, 30, 32], "sub": [0, 4, 5, 7, 8, 9, 11, 14, 17, 19, 20, 23, 25, 29, 30, 32], "domain": [0, 4, 5, 7, 10, 14, 16, 17, 18, 20, 25, 29, 30], "save": [0, 5, 7, 10, 11, 14, 17, 20, 25, 29, 30, 32], "copi": [0, 5, 30, 32], "log": [0, 5, 16, 18, 19, 20, 25, 28, 31, 32], "my": [0, 1, 5, 9, 20, 26, 30], "audit": [0, 5, 17, 19, 20, 30], "them": [0, 2, 4, 5, 7, 9, 10, 11, 13, 14, 16, 17, 19, 20, 23, 25, 26, 29, 30, 32], "later": [0, 5, 14, 19, 30], "automat": [0, 5, 18, 28, 30, 32], "stop": [0, 4, 5, 20, 26, 29, 30, 32], "base": [0, 2, 5, 8, 10, 11, 15, 18, 20, 23, 26, 28, 29, 30, 32], "certain": [0, 4, 5, 7, 9, 10, 12, 14, 16, 17, 19, 20, 21, 25, 26, 29, 30], "condit": [0, 5, 11, 14, 20, 30], "di": [0, 5, 11, 30], "obei": [0, 5, 11, 14, 30], "robot": [0, 5, 11, 14, 19, 20, 29, 30, 31, 32], "txt": [0, 5, 8, 11, 14, 19, 20, 29, 30, 31, 32], "rule": [0, 5, 10, 11, 14, 17, 20, 25, 30, 32], "do": [0, 2, 4, 5, 7, 9, 10, 13, 14, 16, 17, 18, 19, 20, 23, 25, 26, 28, 29, 30, 32], "set": [0, 2, 4, 5, 7, 10, 11, 12, 13, 14, 18, 19, 23, 25, 26, 27, 28, 29, 30, 31, 32], "user": [0, 4, 5, 9, 11, 13, 14, 16, 18, 20, 23, 28, 29, 30, 31, 32], "agent": [0, 5, 10, 11, 14, 16, 20, 29, 30, 31, 32], "while": [0, 4, 5, 7, 14, 18, 23, 25, 26, 28, 29, 30, 31], "control": [0, 5, 10, 11, 18, 20, 29, 30, 32], "number": [0, 5, 7, 8, 12, 13, 16, 17, 18, 19, 20, 23, 26, 28, 29, 30, 31, 32], "concurr": [0, 5, 18, 28, 29, 30], "request": [0, 5, 7, 10, 11, 12, 14, 16, 18, 20, 23, 28, 29, 30, 32], "slow": [0, 5, 30], "down": [0, 5, 13, 14, 26, 29, 30, 31, 32], "so": [0, 2, 5, 7, 9, 10, 11, 12, 13, 14, 17, 18, 19, 20, 23, 25, 26, 28, 30, 32], "don": [0, 1, 4, 5, 7, 9, 10, 14, 18, 20, 25, 26, 29, 30, 32], "t": [0, 1, 4, 5, 7, 9, 10, 13, 14, 18, 20, 25, 26, 27, 29, 30, 32], "hit": [0, 5, 10, 20, 30], "server": [0, 5, 10, 14, 16, 18, 20, 28, 30], "too": [0, 5, 9, 20, 26, 30, 32], "hard": [0, 5, 30], "multipl": [0, 4, 5, 7, 9, 12, 17, 18, 19, 20, 29, 30, 32], "same": [0, 1, 2, 4, 5, 7, 8, 9, 11, 12, 13, 14, 17, 18, 19, 20, 23, 25, 26, 28, 29, 30, 32], "job": [0, 5, 13, 30, 32], "want": [0, 1, 2, 4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17, 18, 19, 20, 23, 25, 26, 27, 28, 30, 32], "follow": [0, 2, 4, 5, 7, 8, 9, 14, 18, 19, 21, 23, 25, 26, 28, 29, 30, 31, 32], "link": [0, 4, 5, 9, 10, 18, 19, 23, 25, 28, 29, 30, 31, 32], "from": [0, 5, 7, 11, 12, 14, 15, 16, 17, 18, 19, 20, 23, 25, 26, 27, 28, 29, 30, 31, 32], "specifi": [0, 2, 5, 7, 9, 12, 14, 17, 18, 20, 23, 27, 28, 29, 30, 32], "depth": [0, 5, 10, 20, 30], "paus": [0, 5, 30], "resum": [0, 5, 30, 32], "make": [0, 1, 2, 5, 7, 9, 10, 14, 16, 17, 18, 19, 20, 23, 25, 26, 29, 30, 32], "sure": [0, 1, 2, 5, 9, 10, 16, 18, 20, 23, 25, 29, 30], "twice": [0, 5, 26, 29, 30], "us": [0, 1, 5, 7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 23, 25, 26, 28, 29, 30, 31, 32], "proxi": [0, 5, 16, 30], "chang": [0, 2, 4, 5, 11, 14, 17, 18, 20, 26, 32], "default": [0, 2, 4, 5, 9, 12, 13, 14, 18, 19, 20, 23, 25, 26, 27, 28, 29, 30, 32], "header": [0, 4, 5, 7, 17, 19, 20, 29, 30, 31, 32], "xpath": [0, 4, 5, 29, 30, 31, 32], "express": [0, 4, 5, 7, 8, 9, 11, 13, 14, 17, 18, 20, 26, 29, 30, 31, 32], "custom": [0, 4, 5, 10, 11, 14, 18, 29, 30, 31, 32], "extract": [0, 5, 7, 14, 17, 25, 29, 30, 31, 32], "creat": [0, 6, 7, 8, 10, 11, 12, 13, 18, 23, 25, 28, 29, 30, 31, 32], "ad": [0, 4, 7, 9, 13, 20, 23, 24, 26, 28, 29, 30, 31, 32], "larg": [0, 6, 8, 14, 16, 18, 19, 20, 26, 29, 30, 31, 32], "scale": [0, 16, 29, 30, 31], "long": [0, 1, 4, 7, 9, 14, 16, 17, 18, 23, 25, 28, 29, 30, 31, 32], "descript": [0, 6, 7, 9, 12, 13, 20, 23, 25, 26, 28, 29, 30, 31, 32], "text": [0, 1, 6, 7, 10, 14, 20, 21, 23, 27, 28, 29, 31], "top": [0, 7, 8, 9, 12, 13, 14, 16, 18, 19, 20, 23, 25, 26, 28, 29, 30, 31, 32], "approach": [0, 13, 25, 26, 29, 30, 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contents": [[0, "module-advertools"], [5, "module-advertools.code_recipes"]], "Create Ads on a Large Scale": [[1, "create-ads-on-a-large-scale"]], "Create Ads Using Long Descriptive Text (top-down approach)": [[2, "create-ads-using-long-descriptive-text-top-down-approach"]], "Google Text Ads": [[2, "google-text-ads"]], "Facebook Feed Ads": [[2, "facebook-feed-ads"]], "Facebook Instant Article Ad": [[2, "facebook-instant-article-ad"]], "advertools.cli module": [[3, "module-advertools.cli"]], "advertools Command Line Interface (CLI)": [[4, "advertools-command-line-interface-cli"]], "convert a robots.txt file (or list of file URLs) to a table in a CSV format": [[4, "convert-a-robots-txt-file-or-list-of-file-urls-to-a-table-in-a-csv-format"]], "download, parse, and save an XML sitemap to a table in a CSV file": [[4, "download-parse-and-save-an-xml-sitemap-to-a-table-in-a-csv-file"]], "split a list of URLs into their components: scheme, netloc, path, query, etc.": [[4, "split-a-list-of-urls-into-their-components-scheme-netloc-path-query-etc"]], "crawl a list of known URLs using the HEAD method": [[4, "crawl-a-list-of-known-urls-using-the-head-method"]], "parse, compress and convert a log file to a DataFrame in the .parquet format": [[4, "parse-compress-and-convert-a-log-file-to-a-dataframe-in-the-parquet-format"]], "perform a reverse DNS lookup on a list of IP addresses": [[4, "perform-a-reverse-dns-lookup-on-a-list-of-ip-addresses"]], "generate a table of SEM keywords by supplying a list of products and a list of intent words": [[4, "generate-a-table-of-sem-keywords-by-supplying-a-list-of-products-and-a-list-of-intent-words"]], "get stopwords of the selected language": [[4, "get-stopwords-of-the-selected-language"]], "get word counts of a text list optionally weighted by a number list": [[4, "get-word-counts-of-a-text-list-optionally-weighted-by-a-number-list"]], "search for emoji using a regex": [[4, "search-for-emoji-using-a-regex"]], "extract structured entities from a text list; emoji, hashtags, mentions": [[4, "extract-structured-entities-from-a-text-list-emoji-hashtags-mentions"]], "tokenize documents (phrases, keywords, tweets, etc) into token of the desired length": [[4, "tokenize-documents-phrases-keywords-tweets-etc-into-token-of-the-desired-length"]], "SEO crawler": [[4, "seo-crawler"]], "advertools.code_recipes package": [[5, "advertools-code-recipes-package"]], "\ud83d\udd77 SEO Crawling & Scraping: Strategies & Recipes": [[6, "seo-crawling-scraping-strategies-recipes"]], "How to crawl a list of pages, and those pages only (list mode)?": [[6, "how-to-crawl-a-list-of-pages-and-those-pages-only-list-mode"]], "How can I crawl a website including its sub-domains?": [[6, "how-can-i-crawl-a-website-including-its-sub-domains"]], "How can I save a copy of the logs of my crawl for auditing them later?": [[6, "how-can-i-save-a-copy-of-the-logs-of-my-crawl-for-auditing-them-later"]], "How can I automatically stop my crawl based on a certain condition?": [[6, "how-can-i-automatically-stop-my-crawl-based-on-a-certain-condition"]], "How can I (dis)obey robots.txt rules?": [[6, "how-can-i-dis-obey-robots-txt-rules"]], "How do I set my User-agent while crawling?": [[6, "how-do-i-set-my-user-agent-while-crawling"]], "How can I control the number of concurrent requests while crawling?": [[6, "how-can-i-control-the-number-of-concurrent-requests-while-crawling"]], "How can I slow down the crawling so I don't hit the websites' servers too hard?": [[6, "how-can-i-slow-down-the-crawling-so-i-don-t-hit-the-websites-servers-too-hard"]], "How can I set multiple settings to the same crawl job?": [[6, "how-can-i-set-multiple-settings-to-the-same-crawl-job"]], "I want to crawl a list of pages, follow links from those pages, but only to a certain specified depth": [[6, "i-want-to-crawl-a-list-of-pages-follow-links-from-those-pages-but-only-to-a-certain-specified-depth"]], "How do I pause/resume crawling, while making sure I don't crawl the same page twice?": [[6, "how-do-i-pause-resume-crawling-while-making-sure-i-don-t-crawl-the-same-page-twice"]], "How do I use a proxy while crawling?": [[6, "how-do-i-use-a-proxy-while-crawling"]], "How can I change the default request headers?": [[6, "how-can-i-change-the-default-request-headers"]], "XPath expressions for custom extraction": [[6, "xpath-expressions-for-custom-extraction"]], "Crawling and Scraping Analysis": [[7, "module-advertools.crawlytics"]], "Analyzing crawled images": [[7, "analyzing-crawled-images"]], "Analyzing links in a crawled website": [[7, "analyzing-links-in-a-crawled-website"]], "Analyzing the redirects of a crawled website": [[7, "analyzing-the-redirects-of-a-crawled-website"]], "Handling very large crawl files": [[7, "handling-very-large-crawl-files"]], "Compressing large crawl files": [[7, "compressing-large-crawl-files"]], "Exploring the columns and data types of parquet files": [[7, "exploring-the-columns-and-data-types-of-parquet-files"]], "Module functions": [[7, "module-functions"]], "Emoji: Extract, Analyze, and Get Insights": [[8, "emoji-extract-analyze-and-get-insights"]], "Emoji Search": [[8, "emoji-search"]], "Extract Emoji from Text": [[8, "extract-emoji-from-text"]], "Extract structured entities from text lists": [[9, "extract-structured-entities-from-text-lists"]], "Extract Functions": [[9, "extract-functions"]], "Extract #hashtags": [[9, "extract-hashtags"]], "Extract @mentions": [[9, "extract-mentions"]], "Extract Currency  $ \u00a2 \u00a3 \u00a4 \u00a5 \u058f \u060b \u20b2 \u20b5 \u20b8 \u20b9\ufe69 \uffe0 \uffe1 \uffe5 \uffe6 \u20ba \u20bb \u20bc \u20bd \u20be \u20bf \ufdfc": [[9, "extract-currency"]], "Extract numbers 1234567890\u0660\u0661\u0662\u0663\u0664\u0665\u0666\u0667\u0668\u0669\u32ba\ud804\udc5b\ud800\udd0d\ud802\udcaa\u24f2\ud804\udc63\ud800\udd28\ud802\udd1b": [[9, "extract-numbers-123456789045"]], "Extract questions ? \u00bf \u037e \u055e \u061f \u1367 \u1945 \u2047 \u2048 \u2049 \u2cfa \u2cfb \u2e2e \ua60f \ua6f7 \ufe16 \ufe56 \uff1f \ud804\udd43 \ud83a\udd5f \u0294 \u203d": [[9, "extract-questions"]], "Extract Exclamations ! \u00a1 \u055c \u07f9 \u1944 \u203c \u2048 \u2049 \ufe15 \ufe57 \uff01 \ud83a\udd5e": [[9, "extract-exclamations"]], "Extract Emoji \ud83d\ude02\ud83d\ude2d\ud83e\udd7a\ud83e\udd23\u2764\ufe0f\u2728\ud83d\ude4f\ud83d\ude0d": [[9, "extract-emoji"]], "\ud83d\udd77 Python Status Code Checker with Response Headers": [[10, "python-status-code-checker-with-response-headers"]], "Image Crawler and Downloader": [[11, "image-crawler-and-downloader"]], "Image file names": [[11, "image-file-names"]], "Import and Analyze Knowledge Graph Results on a Large Scale": [[12, "import-and-analyze-knowledge-graph-results-on-a-large-scale"]], "Account Setup": [[12, "account-setup"]], "How to use Google's Knowledge Graph API": [[12, "how-to-use-google-s-knowledge-graph-api"]], "Generate Keywords for SEM Campaigns": [[13, "generate-keywords-for-sem-campaigns"]], "Log File Analysis": [[14, "log-file-analysis"]], "How to run the logs_to_df() function:": [[14, "how-to-run-the-logs-to-df-function"]], "Supported Log Formats": [[14, "supported-log-formats"]], "Log File Analysis - Data Preparation": [[14, "log-file-analysis-data-preparation"]], "Parse and Analyze Crawl Logs in a Dataframe": [[14, "parse-and-analyze-crawl-logs-in-a-dataframe"]], "Regular Expressions for Extracting Structured Entities": [[15, "regular-expressions-for-extracting-structured-entities"]], "Reverse DNS Lookup in Bulk": [[16, "module-advertools.reverse_dns_lookup"]], "\ud83e\udd16 Analyze and Test robots.txt Files on a Large Scale": [[17, "analyze-and-test-robots-txt-files-on-a-large-scale"]], "Bulk robots.txt Tester": [[17, "bulk-robots-txt-tester"]], "User-agents": [[17, "user-agents"]], "robots.txt Testing Approach": [[17, "robots-txt-testing-approach"]], "Import Search Engine Results Pages (SERPs) for Google and YouTube": [[18, "import-search-engine-results-pages-serps-for-google-and-youtube"]], "Download, Parse, and Analyze XML Sitemaps": [[19, "download-parse-and-analyze-xml-sitemaps"]], "Sitemap Index": [[19, "sitemap-index"]], "Regular XML Sitemaps": [[19, "regular-xml-sitemaps"]], "News Sitemaps": [[19, "news-sitemaps"]], "Video Sitemaps": [[19, "video-sitemaps"]], "\ud83d\udd77 Python SEO Crawler / Spider": [[20, "python-seo-crawler-spider"]], "Discovery Crawling Approach": [[20, "discovery-crawling-approach"]], "Extracted On-Page SEO Elements": [[20, "extracted-on-page-seo-elements"]], "Pre-Determined Crawling Approach (List Mode)": [[20, "pre-determined-crawling-approach-list-mode"]], "SERP Data": [[20, "serp-data"]], "News Articles": [[20, "news-articles"]], "Google Analytics / Google Search Console": [[20, "google-analytics-google-search-console"]], "Custom Extraction with CSS and XPath Selectors": [[20, "custom-extraction-with-css-and-xpath-selectors"]], "Customizing the Crawling Behavior while Following Links": [[20, "customizing-the-crawling-behavior-while-following-links"]], "URL Query Parameters": [[20, "url-query-parameters"]], "URL Regex Patterns": [[20, "url-regex-patterns"]], "Spider Custom Settings and Additional Functionality": [[20, "spider-custom-settings-and-additional-functionality"]], "Stopwords in Several Languages": [[21, "stopwords-in-several-languages"]], "Stopword Languages": [[21, "stopword-languages"]], "Survey - share feedback": [[22, "survey-share-feedback"]], "Twitter Data API": [[23, "twitter-data-api"]], "Authentication": [[23, "authentication"]], "Functions": [[23, "functions"]], "URL Builders": [[24, "url-builders"]], "Split, Parse, and Analyze URL Structure": [[25, "split-parse-and-analyze-url-structure"]], "Query Parameters": [[25, "query-parameters"]], "The URL Path (Directories):": [[25, "the-url-path-directories"]], "Analyzing a large number of URLs": [[25, "analyzing-a-large-number-of-urls"]], "Text Analysis": [[26, "text-analysis"]], "Absolute and Weighted Word Count": [[26, "absolute-and-weighted-word-count"]], "Absolute vs Weighted Frequency": [[26, "absolute-vs-weighted-frequency"]], "Tokenize Words (N-grams)": [[27, "tokenize-words-n-grams"]], "YouTube Data API": [[28, "youtube-data-api"]], "advertools": [[29, "advertools"], [30, "advertools"], [31, "advertools"]], "Change Log - advertools": [[29, "change-log-advertools"]], "(UNRELEASED)": [[29, "unreleased"]], "0.14.2 (2024-02-24)": [[29, "id1"]], "0.14.1 (2024-02-21)": [[29, "id2"]], "0.14.0 (2024-02-18)": [[29, "id3"]], "0.13.5 (2023-08-22)": [[29, "id4"]], "0.13.4 (2023-07-26)": [[29, "id5"]], "0.13.3 (2023-06-27)": [[29, "id6"]], "0.13.2 (2022-09-30)": [[29, "id7"]], "0.13.1 (2022-05-11)": [[29, "id8"]], "0.13.0 (2022-02-10)": [[29, "id9"]], "0.12.3 (2021-11-27)": [[29, "id10"]], "0.12.0,1,2 (2021-11-27)": [[29, "id11"]], "0.11.1 (2021-04-09)": [[29, "id12"]], "0.11.0 (2021-03-31)": [[29, "id13"]], "0.10.7 (2020-09-18)": [[29, "id14"]], "0.10.6 (2020-06-30)": [[29, "id15"]], "0.10.5 (2020-06-14)": [[29, "id16"]], "0.10.4 (2020-06-07)": [[29, "id17"]], "0.10.3 (2020-06-03)": [[29, "id18"]], "0.10.2 (2020-05-25)": [[29, "id19"]], "0.10.1 (2020-05-23)": [[29, "id20"]], "0.10.0 (2020-05-21)": [[29, "id21"]], "0.9.1 (2020-05-19)": [[29, "id22"]], "0.9.0 (2020-04-03)": [[29, "id23"]], "0.8.1 (2020-02-08)": [[29, "id24"]], "0.8.0 (2020-02-02)": [[29, "id25"]], "0.7.3 (2019-04-17)": [[29, "id26"]], "0.7.2 (2019-03-29)": [[29, "id27"]], "0.7.1 (2019-03-26)": [[29, "id28"]], "0.7.0 (2019-03-26)": [[29, "id29"]], "0.6.0 (2019-02-11)": [[29, "id30"]], "0.5.3 (2019-01-31)": [[29, "id31"]], "0.5.2 (2018-12-01)": [[29, "id32"]], "0.5.1 (2018-11-06)": [[29, "id33"]], "0.5.0 (2018-11-04)": [[29, "id34"]], "0.4.1 (2018-10-13)": [[29, "id35"]], "0.4.0 (2018-10-08)": [[29, "id36"]], "0.3.0 (2018-08-14)": [[29, "id37"]], "0.2.0 (2018-07-06)": [[29, "id38"]], "0.1.0 (2018-07-02)": [[29, "id39"]], "Online marketing productivity and analysis tools": [[30, "online-marketing-productivity-and-analysis-tools"]], "SEM": [[30, null]], "SEO": [[30, null], [32, "seo"]], "Text & Content Analysis": [[30, null]], "Social Media": [[30, null], [32, "social-media"]], "Indices and tables": [[30, "indices-and-tables"]], "Index & Change Log": [[30, null]], "advertools: productivity & analysis tools to scale your online marketing": [[32, "advertools-productivity-analysis-tools-to-scale-your-online-marketing"]], "Installation": [[32, "installation"]], "Philosophy/approach": [[32, "philosophy-approach"]], "SEM Campaigns": [[32, "sem-campaigns"]], "Text & Content Analysis (for SEO & Social Media)": [[32, "text-content-analysis-for-seo-social-media"]], "Conventions": [[32, "conventions"]]}, "indexentries": {"advertools": [[0, "module-advertools"]], "module": [[0, "module-advertools"], [1, "module-advertools.ad_create"], [2, "module-advertools.ad_from_string"], [3, "module-advertools.cli"], [4, "module-advertools.cli.cli"], [5, "module-advertools.code_recipes"], [6, "module-advertools.code_recipes.spider_strategies"], [7, "module-advertools.crawlytics"], [8, "module-advertools.emoji"], [9, "module-advertools.extract"], [10, "module-advertools.header_spider"], [11, "module-advertools.image_spider"], [12, "module-advertools.knowledge_graph"], [13, "module-advertools.kw_generate"], [14, "module-advertools.logs"], [15, "module-advertools.regex"], [16, "module-advertools.reverse_dns_lookup"], [17, "module-advertools.robotstxt"], [18, "module-advertools.serp"], [19, "module-advertools.sitemaps"], [20, "module-advertools.spider"], [21, "module-advertools.stopwords"], [23, "module-advertools.twitter"], [24, "module-advertools.url_builders"], [25, "module-advertools.urlytics"], [26, "module-advertools.word_frequency"], [27, "module-advertools.word_tokenize"], [28, "module-advertools.youtube"]], "ad_create() (in module advertools.ad_create)": [[1, "advertools.ad_create.ad_create"]], "advertools.ad_create": [[1, "module-advertools.ad_create"]], "ad_from_string() (in module advertools.ad_from_string)": [[2, "advertools.ad_from_string.ad_from_string"]], "advertools.ad_from_string": [[2, "module-advertools.ad_from_string"]], "capitalize": [[2, "term-capitalize"]], "s": [[2, "term-s"]], "sep": [[2, "term-sep"]], "slots": [[2, "term-slots"]], "advertools.cli": [[3, "module-advertools.cli"]], "advertools.cli.cli": [[4, "module-advertools.cli.cli"]], "advertools.code_recipes": [[5, "module-advertools.code_recipes"]], "advertools.code_recipes.spider_strategies": [[6, "module-advertools.code_recipes.spider_strategies"]], "advertools.crawlytics": [[7, "module-advertools.crawlytics"]], "images() (in module advertools.crawlytics)": [[7, "advertools.crawlytics.images"]], "jl_subset() (in module advertools.crawlytics)": [[7, "advertools.crawlytics.jl_subset"]], "jl_to_parquet() (in module advertools.crawlytics)": [[7, "advertools.crawlytics.jl_to_parquet"]], "links() (in module advertools.crawlytics)": [[7, "advertools.crawlytics.links"]], "parquet_columns() (in module advertools.crawlytics)": [[7, "advertools.crawlytics.parquet_columns"]], "redirects() (in module advertools.crawlytics)": [[7, "advertools.crawlytics.redirects"]], "advertools.emoji": [[8, "module-advertools.emoji"]], "emoji_search() (in module advertools.emoji)": [[8, "advertools.emoji.emoji_search"]], "extract_emoji() (in module advertools.emoji)": [[8, "advertools.emoji.extract_emoji"]], "advertools.extract": [[9, "module-advertools.extract"]], "extract() (in module advertools.extract)": [[9, "advertools.extract.extract"]], "extract_currency() (in module advertools.extract)": [[9, "advertools.extract.extract_currency"]], "extract_exclamations() (in module advertools.extract)": [[9, "advertools.extract.extract_exclamations"]], "extract_hashtags() (in module advertools.extract)": [[9, "advertools.extract.extract_hashtags"]], "extract_intense_words() (in module advertools.extract)": [[9, "advertools.extract.extract_intense_words"]], "extract_mentions() (in module advertools.extract)": [[9, "advertools.extract.extract_mentions"]], "extract_numbers() (in module advertools.extract)": [[9, "advertools.extract.extract_numbers"]], "extract_questions() (in module advertools.extract)": [[9, "advertools.extract.extract_questions"]], "extract_urls() (in module advertools.extract)": [[9, "advertools.extract.extract_urls"]], "extract_words() (in module advertools.extract)": [[9, "advertools.extract.extract_words"]], "headersspider (class in advertools.header_spider)": [[10, "advertools.header_spider.HeadersSpider"]], "advertools.header_spider": [[10, "module-advertools.header_spider"]], "crawl_headers() (in module advertools.header_spider)": [[10, "advertools.header_spider.crawl_headers"]], "custom_settings (headersspider attribute)": [[10, "advertools.header_spider.HeadersSpider.custom_settings"]], "errback() (headersspider method)": [[10, "advertools.header_spider.HeadersSpider.errback"]], "name (headersspider attribute)": [[10, "advertools.header_spider.HeadersSpider.name"]], "parse() (headersspider method)": [[10, "advertools.header_spider.HeadersSpider.parse"]], "start_requests() (headersspider method)": [[10, "advertools.header_spider.HeadersSpider.start_requests"]], "advimagespipeline (class in advertools.image_spider)": [[11, "advertools.image_spider.AdvImagesPipeline"]], "imagespider (class in advertools.image_spider)": [[11, "advertools.image_spider.ImageSpider"]], "imgitem (class in advertools.image_spider)": [[11, "advertools.image_spider.ImgItem"]], "advertools.image_spider": [[11, "module-advertools.image_spider"]], "crawl_images() (in module advertools.image_spider)": [[11, "advertools.image_spider.crawl_images"]], "custom_settings (imagespider attribute)": [[11, "advertools.image_spider.ImageSpider.custom_settings"]], "fields (imgitem attribute)": [[11, "advertools.image_spider.ImgItem.fields"]], "file_path() (advimagespipeline method)": [[11, "advertools.image_spider.AdvImagesPipeline.file_path"]], "include_img_regex (imagespider attribute)": [[11, "advertools.image_spider.ImageSpider.include_img_regex"]], "name (imagespider attribute)": [[11, "advertools.image_spider.ImageSpider.name"]], "parse() (imagespider method)": [[11, "advertools.image_spider.ImageSpider.parse"]], "start_requests() (imagespider method)": [[11, "advertools.image_spider.ImageSpider.start_requests"]], "summarize_crawled_imgs() (in module advertools.image_spider)": [[11, "advertools.image_spider.summarize_crawled_imgs"]], "advertools.knowledge_graph": [[12, "module-advertools.knowledge_graph"]], "knowledge_graph() (in module advertools.knowledge_graph)": [[12, "advertools.knowledge_graph.knowledge_graph"]], "advertools.kw_generate": [[13, "module-advertools.kw_generate"]], "kw_broad() (in module advertools.kw_generate)": [[13, "advertools.kw_generate.kw_broad"]], "kw_exact() (in module advertools.kw_generate)": [[13, "advertools.kw_generate.kw_exact"]], "kw_generate() (in module advertools.kw_generate)": [[13, "advertools.kw_generate.kw_generate"]], "kw_modified() (in module advertools.kw_generate)": [[13, "advertools.kw_generate.kw_modified"]], "kw_neg_broad() (in module advertools.kw_generate)": [[13, "advertools.kw_generate.kw_neg_broad"]], "kw_neg_exact() (in module advertools.kw_generate)": [[13, "advertools.kw_generate.kw_neg_exact"]], "kw_neg_phrase() (in module advertools.kw_generate)": [[13, "advertools.kw_generate.kw_neg_phrase"]], "kw_phrase() (in module advertools.kw_generate)": [[13, "advertools.kw_generate.kw_phrase"]], "advertools.logs": [[14, "module-advertools.logs"]], "crawllogs_to_df() (in module advertools.logs)": [[14, "advertools.logs.crawllogs_to_df"]], "logs_to_df() (in module advertools.logs)": [[14, "advertools.logs.logs_to_df"]], "advertools.regex": [[15, "module-advertools.regex"]], "advertools.reverse_dns_lookup": [[16, "module-advertools.reverse_dns_lookup"]], "reverse_dns_lookup() (in module advertools.reverse_dns_lookup)": [[16, "advertools.reverse_dns_lookup.reverse_dns_lookup"]], "advertools.robotstxt": [[17, "module-advertools.robotstxt"]], "robotstxt_test() (in module advertools.robotstxt)": [[17, "advertools.robotstxt.robotstxt_test"]], "robotstxt_to_df() (in module advertools.robotstxt)": [[17, "advertools.robotstxt.robotstxt_to_df"]], "advertools.serp": [[18, "module-advertools.serp"]], "serp_goog() (in module advertools.serp)": [[18, "advertools.serp.serp_goog"]], "serp_youtube() (in module advertools.serp)": [[18, "advertools.serp.serp_youtube"]], "set_logging_level() (in module advertools.serp)": [[18, "advertools.serp.set_logging_level"]], "youtube_channel_details() (in module advertools.serp)": [[18, "advertools.serp.youtube_channel_details"]], "youtube_video_details() (in module advertools.serp)": [[18, "advertools.serp.youtube_video_details"]], "advertools.sitemaps": [[19, "module-advertools.sitemaps"]], "sitemap_to_df() (in module advertools.sitemaps)": [[19, "advertools.sitemaps.sitemap_to_df"]], "advertools.spider": [[20, "module-advertools.spider"]], "crawl() (in module advertools.spider)": [[20, "advertools.spider.crawl"]], "advertools.stopwords": [[21, "module-advertools.stopwords"]], "advertools.twitter": [[23, "module-advertools.twitter"]], "authenticate() (in module advertools.twitter)": [[23, "advertools.twitter.authenticate"]], "get_application_rate_limit_status() (in module advertools.twitter)": [[23, "advertools.twitter.get_application_rate_limit_status"]], "get_available_trends() (in module advertools.twitter)": [[23, "advertools.twitter.get_available_trends"]], "get_favorites() (in module advertools.twitter)": [[23, "advertools.twitter.get_favorites"]], "get_followers_ids() (in module advertools.twitter)": [[23, "advertools.twitter.get_followers_ids"]], "get_followers_list() (in module advertools.twitter)": [[23, "advertools.twitter.get_followers_list"]], "get_friends_ids() (in module advertools.twitter)": [[23, "advertools.twitter.get_friends_ids"]], "get_friends_list() (in module advertools.twitter)": [[23, "advertools.twitter.get_friends_list"]], "get_home_timeline() (in module advertools.twitter)": [[23, "advertools.twitter.get_home_timeline"]], "get_list_members() (in module advertools.twitter)": [[23, "advertools.twitter.get_list_members"]], "get_list_memberships() (in module advertools.twitter)": [[23, "advertools.twitter.get_list_memberships"]], "get_list_statuses() (in module advertools.twitter)": [[23, "advertools.twitter.get_list_statuses"]], "get_list_subscribers() (in module advertools.twitter)": [[23, "advertools.twitter.get_list_subscribers"]], "get_list_subscriptions() (in module advertools.twitter)": [[23, "advertools.twitter.get_list_subscriptions"]], "get_mentions_timeline() (in module advertools.twitter)": [[23, "advertools.twitter.get_mentions_timeline"]], "get_place_trends() (in module advertools.twitter)": [[23, "advertools.twitter.get_place_trends"]], "get_retweeters_ids() (in module advertools.twitter)": [[23, "advertools.twitter.get_retweeters_ids"]], "get_retweets() (in module advertools.twitter)": [[23, "advertools.twitter.get_retweets"]], "get_supported_languages() (in module advertools.twitter)": [[23, "advertools.twitter.get_supported_languages"]], "get_user_timeline() (in module advertools.twitter)": [[23, "advertools.twitter.get_user_timeline"]], "lookup_status() (in module advertools.twitter)": [[23, "advertools.twitter.lookup_status"]], "lookup_user() (in module advertools.twitter)": [[23, "advertools.twitter.lookup_user"]], "make_dataframe() (in module advertools.twitter)": [[23, "advertools.twitter.make_dataframe"]], "retweeted_of_me() (in module advertools.twitter)": [[23, "advertools.twitter.retweeted_of_me"]], "search() (in module advertools.twitter)": [[23, "advertools.twitter.search"]], "search_users() (in module advertools.twitter)": [[23, "advertools.twitter.search_users"]], "set_auth_params() (in module advertools.twitter)": [[23, "advertools.twitter.set_auth_params"]], "show_lists() (in module advertools.twitter)": [[23, "advertools.twitter.show_lists"]], "show_owned_lists() (in module advertools.twitter)": [[23, "advertools.twitter.show_owned_lists"]], "advertools.url_builders": [[24, "module-advertools.url_builders"]], "url_utm_ga() (in module advertools.url_builders)": [[24, "advertools.url_builders.url_utm_ga"]], "advertools.urlytics": [[25, "module-advertools.urlytics"]], "url_to_df() (in module advertools.urlytics)": [[25, "advertools.urlytics.url_to_df"]], "advertools.word_frequency": [[26, "module-advertools.word_frequency"]], "extra_info": [[26, "term-extra_info"]], "num_list": [[26, "term-num_list"]], "phrase_len": [[26, "term-phrase_len"]], "regex": [[26, "term-regex"]], "rm_words": [[26, "term-rm_words"]], "text_list": [[26, "term-text_list"]], "word_frequency() (in module advertools.word_frequency)": [[26, "advertools.word_frequency.word_frequency"]], "advertools.word_tokenize": [[27, "module-advertools.word_tokenize"]], "word_tokenize() (in module advertools.word_tokenize)": [[27, "advertools.word_tokenize.word_tokenize"]], "activities_list() (in module advertools.youtube)": [[28, "advertools.youtube.activities_list"]], "advertools.youtube": [[28, "module-advertools.youtube"]], "captions_list() (in module advertools.youtube)": [[28, "advertools.youtube.captions_list"]], "channel_sections_list() (in module advertools.youtube)": [[28, "advertools.youtube.channel_sections_list"]], "channels_list() (in module advertools.youtube)": [[28, "advertools.youtube.channels_list"]], "comment_threads_list() (in module advertools.youtube)": [[28, "advertools.youtube.comment_threads_list"]], "comments_list() (in module advertools.youtube)": [[28, "advertools.youtube.comments_list"]], "guide_categories_list() (in module advertools.youtube)": [[28, "advertools.youtube.guide_categories_list"]], "i18n_languages_list() (in module advertools.youtube)": [[28, "advertools.youtube.i18n_languages_list"]], "i18n_regions_list() (in module advertools.youtube)": [[28, "advertools.youtube.i18n_regions_list"]], "playlist_items_list() (in module advertools.youtube)": [[28, "advertools.youtube.playlist_items_list"]], "playlists_list() (in module advertools.youtube)": [[28, "advertools.youtube.playlists_list"]], "search() (in module advertools.youtube)": [[28, "advertools.youtube.search"]], "subscriptions_list() (in module advertools.youtube)": [[28, "advertools.youtube.subscriptions_list"]], "video_categories_list() (in module advertools.youtube)": [[28, "advertools.youtube.video_categories_list"]], "videos_list() (in module advertools.youtube)": [[28, "advertools.youtube.videos_list"]]}})
\ No newline at end of file
+Search.setIndex({"docnames": ["advertools", "advertools.ad_create", "advertools.ad_from_string", "advertools.cli", "advertools.cli.cli", "advertools.code_recipes", "advertools.code_recipes.spider_strategies", "advertools.crawlytics", "advertools.emoji", "advertools.extract", "advertools.header_spider", "advertools.image_spider", "advertools.knowledge_graph", "advertools.kw_generate", "advertools.logs", "advertools.regex", "advertools.reverse_dns_lookup", "advertools.robotstxt", "advertools.serp", "advertools.sitemaps", "advertools.spider", "advertools.stopwords", "advertools.survey", "advertools.twitter", "advertools.url_builders", "advertools.urlytics", "advertools.word_frequency", "advertools.word_tokenize", "advertools.youtube", "include_changelog", "index", "modules", "readme"], "filenames": ["advertools.rst", "advertools.ad_create.rst", "advertools.ad_from_string.rst", "advertools.cli.rst", "advertools.cli.cli.rst", "advertools.code_recipes.rst", "advertools.code_recipes.spider_strategies.rst", "advertools.crawlytics.rst", "advertools.emoji.rst", "advertools.extract.rst", "advertools.header_spider.rst", "advertools.image_spider.rst", "advertools.knowledge_graph.rst", "advertools.kw_generate.rst", "advertools.logs.rst", "advertools.regex.rst", "advertools.reverse_dns_lookup.rst", "advertools.robotstxt.rst", "advertools.serp.rst", "advertools.sitemaps.rst", "advertools.spider.rst", "advertools.stopwords.rst", "advertools.survey.rst", "advertools.twitter.rst", "advertools.url_builders.rst", "advertools.urlytics.rst", "advertools.word_frequency.rst", "advertools.word_tokenize.rst", "advertools.youtube.rst", "include_changelog.rst", "index.rst", "modules.rst", "readme.rst"], "titles": ["advertools package", "Create Ads on a Large Scale", "Create Ads Using Long Descriptive Text (top-down approach)", "advertools.cli module", "advertools Command Line Interface (CLI)", "advertools.code_recipes package", "\ud83d\udd77 SEO Crawling & Scraping: Strategies & Recipes", "Crawling and Scraping Analysis", "Emoji: Extract, Analyze, and Get Insights", "Extract structured entities from text lists", "\ud83d\udd77 Python Status Code Checker with Response Headers", "Image Crawler and Downloader", "Import and Analyze Knowledge Graph Results on a Large Scale", "Generate Keywords for SEM Campaigns", "Log File Analysis", "Regular Expressions for Extracting Structured Entities", "Reverse DNS Lookup in Bulk", "\ud83e\udd16 Analyze and Test robots.txt Files on a Large Scale", "Import Search Engine Results Pages (SERPs) for Google and YouTube", "Download, Parse, and Analyze XML Sitemaps", "\ud83d\udd77 Python SEO Crawler / Spider", "Stopwords in Several Languages", "Survey - share feedback", "Twitter Data API", "URL Builders", "Split, Parse, and Analyze URL Structure", "Text Analysis", "Tokenize Words (N-grams)", "YouTube Data API", "advertools", "advertools", "advertools", "advertools: productivity & analysis tools to scale your 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"absolut": 26, "v": 26, "frequenc": 26, "n": 27, "gram": 27, "unreleas": 29, "0": 29, "14": 29, "2": 29, "2024": 29, "02": 29, "24": 29, "1": 29, "21": 29, "18": 29, "13": 29, "5": 29, "2023": 29, "08": 29, "22": 29, "4": 29, "07": 29, "26": 29, "3": 29, "06": 29, "27": 29, "2022": 29, "09": 29, "30": 29, "05": 29, "11": 29, "10": 29, "12": 29, "2021": 29, "04": 29, "03": 29, "31": 29, "7": 29, "2020": 29, "6": 29, "25": 29, "23": 29, "9": 29, "19": 29, "8": 29, "2019": 29, "17": 29, "29": 29, "01": 29, "2018": 29, "onlin": [30, 32], "market": [30, 32], "tool": [30, 32], "social": [30, 32], "media": [30, 32], "indic": 30, "your": 32, "instal": 32, "philosophi": 32, "convent": 32}, "envversion": {"sphinx.domains.c": 3, "sphinx.domains.changeset": 1, "sphinx.domains.citation": 1, "sphinx.domains.cpp": 9, "sphinx.domains.index": 1, "sphinx.domains.javascript": 3, "sphinx.domains.math": 2, "sphinx.domains.python": 4, "sphinx.domains.rst": 2, "sphinx.domains.std": 2, "sphinx.ext.viewcode": 1, "sphinx": 60}, "alltitles": {"advertools package": [[0, "advertools-package"]], "Subpackages": [[0, "subpackages"]], "Submodules": [[0, "submodules"], [5, "submodules"]], "Module contents": [[0, "module-advertools"], [5, "module-advertools.code_recipes"]], "Create Ads on a Large Scale": [[1, "create-ads-on-a-large-scale"]], "Create Ads Using Long Descriptive Text (top-down approach)": [[2, "create-ads-using-long-descriptive-text-top-down-approach"]], "Google Text Ads": [[2, "google-text-ads"]], "Facebook Feed Ads": [[2, "facebook-feed-ads"]], "Facebook Instant Article Ad": [[2, "facebook-instant-article-ad"]], "advertools.cli module": [[3, "module-advertools.cli"]], "advertools Command Line Interface (CLI)": [[4, "advertools-command-line-interface-cli"]], "convert a robots.txt file (or list of file URLs) to a table in a CSV format": [[4, "convert-a-robots-txt-file-or-list-of-file-urls-to-a-table-in-a-csv-format"]], "download, parse, and save an XML sitemap to a table in a CSV file": [[4, "download-parse-and-save-an-xml-sitemap-to-a-table-in-a-csv-file"]], "split a list of URLs into their components: scheme, netloc, path, query, etc.": [[4, "split-a-list-of-urls-into-their-components-scheme-netloc-path-query-etc"]], "crawl a list of known URLs using the HEAD method": [[4, "crawl-a-list-of-known-urls-using-the-head-method"]], "parse, compress and convert a log file to a DataFrame in the .parquet format": [[4, "parse-compress-and-convert-a-log-file-to-a-dataframe-in-the-parquet-format"]], "perform a reverse DNS lookup on a list of IP addresses": [[4, "perform-a-reverse-dns-lookup-on-a-list-of-ip-addresses"]], "generate a table of SEM keywords by supplying a list of products and a list of intent words": [[4, "generate-a-table-of-sem-keywords-by-supplying-a-list-of-products-and-a-list-of-intent-words"]], "get stopwords of the selected language": [[4, "get-stopwords-of-the-selected-language"]], "get word counts of a text list optionally weighted by a number list": [[4, "get-word-counts-of-a-text-list-optionally-weighted-by-a-number-list"]], "search for emoji using a regex": [[4, "search-for-emoji-using-a-regex"]], "extract structured entities from a text list; emoji, hashtags, mentions": [[4, "extract-structured-entities-from-a-text-list-emoji-hashtags-mentions"]], "tokenize documents (phrases, keywords, tweets, etc) into token of the desired length": [[4, "tokenize-documents-phrases-keywords-tweets-etc-into-token-of-the-desired-length"]], "SEO crawler": [[4, "seo-crawler"]], "advertools.code_recipes package": [[5, "advertools-code-recipes-package"]], "\ud83d\udd77 SEO Crawling & Scraping: Strategies & Recipes": [[6, "seo-crawling-scraping-strategies-recipes"]], "How to crawl a list of pages, and those pages only (list mode)?": [[6, "how-to-crawl-a-list-of-pages-and-those-pages-only-list-mode"]], "How can I crawl a website including its sub-domains?": [[6, "how-can-i-crawl-a-website-including-its-sub-domains"]], "How can I save a copy of the logs of my crawl for auditing them later?": [[6, "how-can-i-save-a-copy-of-the-logs-of-my-crawl-for-auditing-them-later"]], "How can I automatically stop my crawl based on a certain condition?": [[6, "how-can-i-automatically-stop-my-crawl-based-on-a-certain-condition"]], "How can I (dis)obey robots.txt rules?": [[6, "how-can-i-dis-obey-robots-txt-rules"]], "How do I set my User-agent while crawling?": [[6, "how-do-i-set-my-user-agent-while-crawling"]], "How can I control the number of concurrent requests while crawling?": [[6, "how-can-i-control-the-number-of-concurrent-requests-while-crawling"]], "How can I slow down the crawling so I don't hit the websites' servers too hard?": [[6, "how-can-i-slow-down-the-crawling-so-i-don-t-hit-the-websites-servers-too-hard"]], "How can I set multiple settings to the same crawl job?": [[6, "how-can-i-set-multiple-settings-to-the-same-crawl-job"]], "I want to crawl a list of pages, follow links from those pages, but only to a certain specified depth": [[6, "i-want-to-crawl-a-list-of-pages-follow-links-from-those-pages-but-only-to-a-certain-specified-depth"]], "How do I pause/resume crawling, while making sure I don't crawl the same page twice?": [[6, "how-do-i-pause-resume-crawling-while-making-sure-i-don-t-crawl-the-same-page-twice"]], "How do I use a proxy while crawling?": [[6, "how-do-i-use-a-proxy-while-crawling"]], "How can I change the default request headers?": [[6, "how-can-i-change-the-default-request-headers"]], "XPath expressions for custom extraction": [[6, "xpath-expressions-for-custom-extraction"]], "Crawling and Scraping Analysis": [[7, "module-advertools.crawlytics"]], "Analyzing crawled images": [[7, "analyzing-crawled-images"]], "Analyzing links in a crawled website": [[7, "analyzing-links-in-a-crawled-website"]], "Analyzing the redirects of a crawled website": [[7, "analyzing-the-redirects-of-a-crawled-website"]], "Handling very large crawl files": [[7, "handling-very-large-crawl-files"]], "Compressing large crawl files": [[7, "compressing-large-crawl-files"]], "Exploring the columns and data types of parquet files": [[7, "exploring-the-columns-and-data-types-of-parquet-files"]], "Module functions": [[7, "module-functions"]], "Emoji: Extract, Analyze, and Get Insights": [[8, "emoji-extract-analyze-and-get-insights"]], "Emoji Search": [[8, "emoji-search"]], "Extract Emoji from Text": [[8, "extract-emoji-from-text"]], "Extract structured entities from text lists": [[9, "extract-structured-entities-from-text-lists"]], "Extract Functions": [[9, "extract-functions"]], "Extract #hashtags": [[9, "extract-hashtags"]], "Extract @mentions": [[9, "extract-mentions"]], "Extract Currency  $ \u00a2 \u00a3 \u00a4 \u00a5 \u058f \u060b \u20b2 \u20b5 \u20b8 \u20b9\ufe69 \uffe0 \uffe1 \uffe5 \uffe6 \u20ba \u20bb \u20bc \u20bd \u20be \u20bf \ufdfc": [[9, "extract-currency"]], "Extract numbers 1234567890\u0660\u0661\u0662\u0663\u0664\u0665\u0666\u0667\u0668\u0669\u32ba\ud804\udc5b\ud800\udd0d\ud802\udcaa\u24f2\ud804\udc63\ud800\udd28\ud802\udd1b": [[9, "extract-numbers-123456789045"]], "Extract questions ? \u00bf \u037e \u055e \u061f \u1367 \u1945 \u2047 \u2048 \u2049 \u2cfa \u2cfb \u2e2e \ua60f \ua6f7 \ufe16 \ufe56 \uff1f \ud804\udd43 \ud83a\udd5f \u0294 \u203d": [[9, "extract-questions"]], "Extract Exclamations ! \u00a1 \u055c \u07f9 \u1944 \u203c \u2048 \u2049 \ufe15 \ufe57 \uff01 \ud83a\udd5e": [[9, "extract-exclamations"]], "Extract Emoji \ud83d\ude02\ud83d\ude2d\ud83e\udd7a\ud83e\udd23\u2764\ufe0f\u2728\ud83d\ude4f\ud83d\ude0d": [[9, "extract-emoji"]], "\ud83d\udd77 Python Status Code Checker with Response Headers": [[10, "python-status-code-checker-with-response-headers"]], "Image Crawler and Downloader": [[11, "image-crawler-and-downloader"]], "Image file names": [[11, "image-file-names"]], "Import and Analyze Knowledge Graph Results on a Large Scale": [[12, "import-and-analyze-knowledge-graph-results-on-a-large-scale"]], "Account Setup": [[12, "account-setup"]], "How to use Google's Knowledge Graph API": [[12, "how-to-use-google-s-knowledge-graph-api"]], "Generate Keywords for SEM Campaigns": [[13, "generate-keywords-for-sem-campaigns"]], "Log File Analysis": [[14, "log-file-analysis"]], "How to run the logs_to_df() function:": [[14, "how-to-run-the-logs-to-df-function"]], "Supported Log Formats": [[14, "supported-log-formats"]], "Log File Analysis - Data Preparation": [[14, "log-file-analysis-data-preparation"]], "Parse and Analyze Crawl Logs in a Dataframe": [[14, "parse-and-analyze-crawl-logs-in-a-dataframe"]], "Regular Expressions for Extracting Structured Entities": [[15, "regular-expressions-for-extracting-structured-entities"]], "Reverse DNS Lookup in Bulk": [[16, "module-advertools.reverse_dns_lookup"]], "\ud83e\udd16 Analyze and Test robots.txt Files on a Large Scale": [[17, "analyze-and-test-robots-txt-files-on-a-large-scale"]], "Bulk robots.txt Tester": [[17, "bulk-robots-txt-tester"]], "User-agents": [[17, "user-agents"]], "robots.txt Testing Approach": [[17, "robots-txt-testing-approach"]], "Import Search Engine Results Pages (SERPs) for Google and YouTube": [[18, "import-search-engine-results-pages-serps-for-google-and-youtube"]], "Download, Parse, and Analyze XML Sitemaps": [[19, "download-parse-and-analyze-xml-sitemaps"]], "Sitemap Index": [[19, "sitemap-index"]], "Regular XML Sitemaps": [[19, "regular-xml-sitemaps"]], "News Sitemaps": [[19, "news-sitemaps"]], "Video Sitemaps": [[19, "video-sitemaps"]], "\ud83d\udd77 Python SEO Crawler / Spider": [[20, "python-seo-crawler-spider"]], "Discovery Crawling Approach": [[20, "discovery-crawling-approach"]], "Extracted On-Page SEO Elements": [[20, "extracted-on-page-seo-elements"]], "Pre-Determined Crawling Approach (List Mode)": [[20, "pre-determined-crawling-approach-list-mode"]], "SERP Data": [[20, "serp-data"]], "News Articles": [[20, "news-articles"]], "Google Analytics / Google Search Console": [[20, "google-analytics-google-search-console"]], "Custom Extraction with CSS and XPath Selectors": [[20, "custom-extraction-with-css-and-xpath-selectors"]], "Customizing the Crawling Behavior while Following Links": [[20, "customizing-the-crawling-behavior-while-following-links"]], "URL Query Parameters": [[20, "url-query-parameters"]], "URL Regex Patterns": [[20, "url-regex-patterns"]], "Spider Custom Settings and Additional Functionality": [[20, "spider-custom-settings-and-additional-functionality"]], "Stopwords in Several Languages": [[21, "stopwords-in-several-languages"]], "Stopword Languages": [[21, "stopword-languages"]], "Survey - share feedback": [[22, "survey-share-feedback"]], "Twitter Data API": [[23, "twitter-data-api"]], "Authentication": [[23, "authentication"]], "Functions": [[23, "functions"]], "URL Builders": [[24, "url-builders"]], "Split, Parse, and Analyze URL Structure": [[25, "split-parse-and-analyze-url-structure"]], "Query Parameters": [[25, "query-parameters"]], "The URL Path (Directories):": [[25, "the-url-path-directories"]], "Analyzing a large number of URLs": [[25, "analyzing-a-large-number-of-urls"]], "Text Analysis": [[26, "text-analysis"]], "Absolute and Weighted Word Count": [[26, "absolute-and-weighted-word-count"]], "Absolute vs Weighted Frequency": [[26, "absolute-vs-weighted-frequency"]], "Tokenize Words (N-grams)": [[27, "tokenize-words-n-grams"]], "YouTube Data API": [[28, "youtube-data-api"]], "advertools": [[29, "advertools"], [30, "advertools"], [31, "advertools"]], "Change Log - advertools": [[29, "change-log-advertools"]], "(UNRELEASED)": [[29, "unreleased"]], "0.14.2 (2024-02-24)": [[29, "id1"]], "0.14.1 (2024-02-21)": [[29, "id2"]], "0.14.0 (2024-02-18)": [[29, "id3"]], "0.13.5 (2023-08-22)": [[29, "id4"]], "0.13.4 (2023-07-26)": [[29, "id5"]], "0.13.3 (2023-06-27)": [[29, "id6"]], "0.13.2 (2022-09-30)": [[29, "id7"]], "0.13.1 (2022-05-11)": [[29, "id8"]], "0.13.0 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"0.4.1 (2018-10-13)": [[29, "id35"]], "0.4.0 (2018-10-08)": [[29, "id36"]], "0.3.0 (2018-08-14)": [[29, "id37"]], "0.2.0 (2018-07-06)": [[29, "id38"]], "0.1.0 (2018-07-02)": [[29, "id39"]], "Online marketing productivity and analysis tools": [[30, "online-marketing-productivity-and-analysis-tools"]], "SEM": [[30, null]], "SEO": [[30, null], [32, "seo"]], "Text & Content Analysis": [[30, null]], "Social Media": [[30, null], [32, "social-media"]], "Indices and tables": [[30, "indices-and-tables"]], "Index & Change Log": [[30, null]], "advertools: productivity & analysis tools to scale your online marketing": [[32, "advertools-productivity-analysis-tools-to-scale-your-online-marketing"]], "Installation": [[32, "installation"]], "Philosophy/approach": [[32, "philosophy-approach"]], "SEM Campaigns": [[32, "sem-campaigns"]], "Text & Content Analysis (for SEO & Social Media)": [[32, "text-content-analysis-for-seo-social-media"]], "Conventions": [[32, "conventions"]]}, "indexentries": {"advertools": [[0, "module-advertools"]], "module": [[0, "module-advertools"], [1, "module-advertools.ad_create"], [2, "module-advertools.ad_from_string"], [3, "module-advertools.cli"], [4, "module-advertools.cli.cli"], [5, "module-advertools.code_recipes"], [6, "module-advertools.code_recipes.spider_strategies"], [7, "module-advertools.crawlytics"], [8, "module-advertools.emoji"], [9, "module-advertools.extract"], [10, "module-advertools.header_spider"], [11, "module-advertools.image_spider"], [12, "module-advertools.knowledge_graph"], [13, "module-advertools.kw_generate"], [14, "module-advertools.logs"], [15, "module-advertools.regex"], [16, "module-advertools.reverse_dns_lookup"], [17, "module-advertools.robotstxt"], [18, "module-advertools.serp"], [19, "module-advertools.sitemaps"], [20, "module-advertools.spider"], [21, "module-advertools.stopwords"], [23, "module-advertools.twitter"], [24, "module-advertools.url_builders"], [25, "module-advertools.urlytics"], [26, "module-advertools.word_frequency"], [27, "module-advertools.word_tokenize"], [28, "module-advertools.youtube"]], "ad_create() (in module advertools.ad_create)": [[1, "advertools.ad_create.ad_create"]], "advertools.ad_create": [[1, "module-advertools.ad_create"]], "ad_from_string() (in module advertools.ad_from_string)": [[2, "advertools.ad_from_string.ad_from_string"]], "advertools.ad_from_string": [[2, "module-advertools.ad_from_string"]], "capitalize": [[2, "term-capitalize"]], "s": [[2, "term-s"]], "sep": [[2, "term-sep"]], "slots": [[2, "term-slots"]], "advertools.cli": [[3, "module-advertools.cli"]], "advertools.cli.cli": [[4, "module-advertools.cli.cli"]], "advertools.code_recipes": [[5, "module-advertools.code_recipes"]], "advertools.code_recipes.spider_strategies": [[6, "module-advertools.code_recipes.spider_strategies"]], "advertools.crawlytics": [[7, "module-advertools.crawlytics"]], "images() (in module advertools.crawlytics)": [[7, "advertools.crawlytics.images"]], "jl_subset() (in module advertools.crawlytics)": [[7, "advertools.crawlytics.jl_subset"]], "jl_to_parquet() (in module advertools.crawlytics)": [[7, "advertools.crawlytics.jl_to_parquet"]], "links() (in module advertools.crawlytics)": [[7, "advertools.crawlytics.links"]], "parquet_columns() (in module advertools.crawlytics)": [[7, "advertools.crawlytics.parquet_columns"]], "redirects() (in module advertools.crawlytics)": [[7, "advertools.crawlytics.redirects"]], "advertools.emoji": [[8, "module-advertools.emoji"]], "emoji_search() (in module advertools.emoji)": [[8, "advertools.emoji.emoji_search"]], "extract_emoji() (in module advertools.emoji)": [[8, "advertools.emoji.extract_emoji"]], "advertools.extract": [[9, "module-advertools.extract"]], "extract() (in module advertools.extract)": [[9, "advertools.extract.extract"]], "extract_currency() (in module advertools.extract)": [[9, "advertools.extract.extract_currency"]], "extract_exclamations() (in module advertools.extract)": [[9, "advertools.extract.extract_exclamations"]], "extract_hashtags() (in module advertools.extract)": [[9, "advertools.extract.extract_hashtags"]], "extract_intense_words() (in module advertools.extract)": [[9, "advertools.extract.extract_intense_words"]], "extract_mentions() (in module advertools.extract)": [[9, "advertools.extract.extract_mentions"]], "extract_numbers() (in module advertools.extract)": [[9, "advertools.extract.extract_numbers"]], "extract_questions() (in module advertools.extract)": [[9, "advertools.extract.extract_questions"]], "extract_urls() (in module advertools.extract)": [[9, "advertools.extract.extract_urls"]], "extract_words() (in module advertools.extract)": [[9, "advertools.extract.extract_words"]], "headersspider (class in advertools.header_spider)": [[10, "advertools.header_spider.HeadersSpider"]], "advertools.header_spider": [[10, "module-advertools.header_spider"]], "crawl_headers() (in module advertools.header_spider)": [[10, "advertools.header_spider.crawl_headers"]], "custom_settings (headersspider attribute)": [[10, "advertools.header_spider.HeadersSpider.custom_settings"]], "errback() (headersspider method)": [[10, "advertools.header_spider.HeadersSpider.errback"]], "name (headersspider attribute)": [[10, "advertools.header_spider.HeadersSpider.name"]], "parse() (headersspider method)": [[10, "advertools.header_spider.HeadersSpider.parse"]], "start_requests() (headersspider method)": [[10, "advertools.header_spider.HeadersSpider.start_requests"]], "advimagespipeline (class in advertools.image_spider)": [[11, "advertools.image_spider.AdvImagesPipeline"]], "imagespider (class in advertools.image_spider)": [[11, "advertools.image_spider.ImageSpider"]], "imgitem (class in advertools.image_spider)": [[11, "advertools.image_spider.ImgItem"]], "advertools.image_spider": [[11, "module-advertools.image_spider"]], "crawl_images() (in module advertools.image_spider)": [[11, "advertools.image_spider.crawl_images"]], "custom_settings (imagespider attribute)": [[11, "advertools.image_spider.ImageSpider.custom_settings"]], "fields (imgitem attribute)": [[11, "advertools.image_spider.ImgItem.fields"]], "file_path() (advimagespipeline method)": [[11, "advertools.image_spider.AdvImagesPipeline.file_path"]], "include_img_regex (imagespider attribute)": [[11, "advertools.image_spider.ImageSpider.include_img_regex"]], "name (imagespider attribute)": [[11, "advertools.image_spider.ImageSpider.name"]], "parse() (imagespider method)": [[11, "advertools.image_spider.ImageSpider.parse"]], "start_requests() (imagespider method)": [[11, "advertools.image_spider.ImageSpider.start_requests"]], "summarize_crawled_imgs() (in module advertools.image_spider)": [[11, "advertools.image_spider.summarize_crawled_imgs"]], "advertools.knowledge_graph": [[12, "module-advertools.knowledge_graph"]], "knowledge_graph() (in module advertools.knowledge_graph)": [[12, "advertools.knowledge_graph.knowledge_graph"]], "advertools.kw_generate": [[13, "module-advertools.kw_generate"]], "kw_broad() (in module advertools.kw_generate)": [[13, "advertools.kw_generate.kw_broad"]], "kw_exact() (in module advertools.kw_generate)": [[13, "advertools.kw_generate.kw_exact"]], "kw_generate() (in module advertools.kw_generate)": [[13, "advertools.kw_generate.kw_generate"]], "kw_modified() (in module advertools.kw_generate)": [[13, "advertools.kw_generate.kw_modified"]], "kw_neg_broad() (in module advertools.kw_generate)": [[13, "advertools.kw_generate.kw_neg_broad"]], "kw_neg_exact() (in module advertools.kw_generate)": [[13, "advertools.kw_generate.kw_neg_exact"]], "kw_neg_phrase() (in module advertools.kw_generate)": [[13, "advertools.kw_generate.kw_neg_phrase"]], "kw_phrase() (in module advertools.kw_generate)": [[13, "advertools.kw_generate.kw_phrase"]], "advertools.logs": [[14, "module-advertools.logs"]], "crawllogs_to_df() (in module advertools.logs)": [[14, "advertools.logs.crawllogs_to_df"]], "logs_to_df() (in module advertools.logs)": [[14, "advertools.logs.logs_to_df"]], "advertools.regex": [[15, "module-advertools.regex"]], "advertools.reverse_dns_lookup": [[16, "module-advertools.reverse_dns_lookup"]], "reverse_dns_lookup() (in module advertools.reverse_dns_lookup)": [[16, "advertools.reverse_dns_lookup.reverse_dns_lookup"]], "advertools.robotstxt": [[17, "module-advertools.robotstxt"]], "robotstxt_test() (in module advertools.robotstxt)": [[17, "advertools.robotstxt.robotstxt_test"]], "robotstxt_to_df() (in module advertools.robotstxt)": [[17, "advertools.robotstxt.robotstxt_to_df"]], "advertools.serp": [[18, "module-advertools.serp"]], "serp_goog() (in module advertools.serp)": [[18, "advertools.serp.serp_goog"]], "serp_youtube() (in module advertools.serp)": [[18, "advertools.serp.serp_youtube"]], "set_logging_level() (in module advertools.serp)": [[18, "advertools.serp.set_logging_level"]], "youtube_channel_details() (in module advertools.serp)": [[18, "advertools.serp.youtube_channel_details"]], "youtube_video_details() (in module advertools.serp)": [[18, "advertools.serp.youtube_video_details"]], "advertools.sitemaps": [[19, "module-advertools.sitemaps"]], "sitemap_to_df() (in module advertools.sitemaps)": [[19, "advertools.sitemaps.sitemap_to_df"]], "advertools.spider": [[20, "module-advertools.spider"]], "crawl() (in module advertools.spider)": [[20, "advertools.spider.crawl"]], "advertools.stopwords": [[21, "module-advertools.stopwords"]], "advertools.twitter": [[23, "module-advertools.twitter"]], "authenticate() (in module advertools.twitter)": [[23, "advertools.twitter.authenticate"]], "get_application_rate_limit_status() (in module advertools.twitter)": [[23, "advertools.twitter.get_application_rate_limit_status"]], "get_available_trends() (in module advertools.twitter)": [[23, "advertools.twitter.get_available_trends"]], "get_favorites() (in module advertools.twitter)": [[23, "advertools.twitter.get_favorites"]], "get_followers_ids() (in module advertools.twitter)": [[23, "advertools.twitter.get_followers_ids"]], "get_followers_list() (in module advertools.twitter)": [[23, "advertools.twitter.get_followers_list"]], "get_friends_ids() (in module advertools.twitter)": [[23, "advertools.twitter.get_friends_ids"]], "get_friends_list() (in module advertools.twitter)": [[23, "advertools.twitter.get_friends_list"]], "get_home_timeline() (in module advertools.twitter)": [[23, "advertools.twitter.get_home_timeline"]], "get_list_members() (in module advertools.twitter)": [[23, "advertools.twitter.get_list_members"]], "get_list_memberships() (in module advertools.twitter)": [[23, "advertools.twitter.get_list_memberships"]], "get_list_statuses() (in module advertools.twitter)": [[23, "advertools.twitter.get_list_statuses"]], "get_list_subscribers() (in module advertools.twitter)": [[23, "advertools.twitter.get_list_subscribers"]], "get_list_subscriptions() (in module advertools.twitter)": [[23, "advertools.twitter.get_list_subscriptions"]], "get_mentions_timeline() (in module advertools.twitter)": [[23, "advertools.twitter.get_mentions_timeline"]], "get_place_trends() (in module advertools.twitter)": [[23, "advertools.twitter.get_place_trends"]], "get_retweeters_ids() (in module advertools.twitter)": [[23, "advertools.twitter.get_retweeters_ids"]], "get_retweets() (in module advertools.twitter)": [[23, "advertools.twitter.get_retweets"]], "get_supported_languages() (in module advertools.twitter)": [[23, "advertools.twitter.get_supported_languages"]], "get_user_timeline() (in module advertools.twitter)": [[23, "advertools.twitter.get_user_timeline"]], "lookup_status() (in module advertools.twitter)": [[23, "advertools.twitter.lookup_status"]], "lookup_user() (in module advertools.twitter)": [[23, "advertools.twitter.lookup_user"]], "make_dataframe() (in module advertools.twitter)": [[23, "advertools.twitter.make_dataframe"]], "retweeted_of_me() (in module advertools.twitter)": [[23, "advertools.twitter.retweeted_of_me"]], "search() (in module advertools.twitter)": [[23, "advertools.twitter.search"]], "search_users() (in module advertools.twitter)": [[23, "advertools.twitter.search_users"]], "set_auth_params() (in module advertools.twitter)": [[23, "advertools.twitter.set_auth_params"]], "show_lists() (in module advertools.twitter)": [[23, "advertools.twitter.show_lists"]], "show_owned_lists() (in module advertools.twitter)": [[23, "advertools.twitter.show_owned_lists"]], "advertools.url_builders": [[24, "module-advertools.url_builders"]], "url_utm_ga() (in module advertools.url_builders)": [[24, "advertools.url_builders.url_utm_ga"]], "advertools.urlytics": [[25, "module-advertools.urlytics"]], "url_to_df() (in module advertools.urlytics)": [[25, "advertools.urlytics.url_to_df"]], "advertools.word_frequency": [[26, "module-advertools.word_frequency"]], "extra_info": [[26, "term-extra_info"]], "num_list": [[26, "term-num_list"]], "phrase_len": [[26, "term-phrase_len"]], "regex": [[26, "term-regex"]], "rm_words": [[26, "term-rm_words"]], "text_list": [[26, "term-text_list"]], "word_frequency() (in module advertools.word_frequency)": [[26, "advertools.word_frequency.word_frequency"]], "advertools.word_tokenize": [[27, "module-advertools.word_tokenize"]], "word_tokenize() (in module advertools.word_tokenize)": [[27, "advertools.word_tokenize.word_tokenize"]], "activities_list() (in module advertools.youtube)": [[28, "advertools.youtube.activities_list"]], "advertools.youtube": [[28, "module-advertools.youtube"]], "captions_list() (in module advertools.youtube)": [[28, "advertools.youtube.captions_list"]], "channel_sections_list() (in module advertools.youtube)": [[28, "advertools.youtube.channel_sections_list"]], "channels_list() (in module advertools.youtube)": [[28, "advertools.youtube.channels_list"]], "comment_threads_list() (in module advertools.youtube)": [[28, "advertools.youtube.comment_threads_list"]], "comments_list() (in module advertools.youtube)": [[28, "advertools.youtube.comments_list"]], "guide_categories_list() (in module advertools.youtube)": [[28, "advertools.youtube.guide_categories_list"]], "i18n_languages_list() (in module advertools.youtube)": [[28, "advertools.youtube.i18n_languages_list"]], "i18n_regions_list() (in module advertools.youtube)": [[28, "advertools.youtube.i18n_regions_list"]], "playlist_items_list() (in module advertools.youtube)": [[28, "advertools.youtube.playlist_items_list"]], "playlists_list() (in module advertools.youtube)": [[28, "advertools.youtube.playlists_list"]], "search() (in module advertools.youtube)": [[28, "advertools.youtube.search"]], "subscriptions_list() (in module advertools.youtube)": [[28, "advertools.youtube.subscriptions_list"]], "video_categories_list() (in module advertools.youtube)": [[28, "advertools.youtube.video_categories_list"]], "videos_list() (in module advertools.youtube)": [[28, "advertools.youtube.videos_list"]]}})
\ No newline at end of file