From 9bbd329a3bca563385f7940b283ee161e560439d Mon Sep 17 00:00:00 2001 From: Aryan Sahay Date: Fri, 6 Oct 2023 11:24:31 +0530 Subject: [PATCH 1/3] Added Web Scrapping with BeautifulSoup module --- Web Scraping/Requirements.txt | 24 ++ .../Web Scraping with BeautifulSoup.ipynb | 347 ++++++++++++++++++ 2 files changed, 371 insertions(+) create mode 100644 Web Scraping/Requirements.txt create mode 100644 Web Scraping/Web Scraping with BeautifulSoup.ipynb diff --git a/Web Scraping/Requirements.txt b/Web Scraping/Requirements.txt new file mode 100644 index 0000000..17fa697 --- /dev/null +++ b/Web Scraping/Requirements.txt @@ -0,0 +1,24 @@ +async-generator==1.10 +attrs==21.4.0 +beautifulsoup4==4.10.0 +beautifultable==1.0.1 +certifi==2021.10.8 +cffi==1.15.0 +charset-normalizer==2.0.12 +cryptography==36.0.1 +h11==0.13.0 +idna==3.3 +outcome==1.1.0 +pycparser==2.21 +pyOpenSSL==22.0.0 +PySocks==1.7.1 +requests==2.27.1 +selenium==4.1.2 +sniffio==1.2.0 +sortedcontainers==2.4.0 +soupsieve==2.3.1 +trio==0.20.0 +trio-websocket==0.9.2 +urllib3==1.26.8 +wcwidth==0.2.5 +wsproto==1.1.0 \ No newline at end of file diff --git a/Web Scraping/Web Scraping with BeautifulSoup.ipynb b/Web Scraping/Web Scraping with BeautifulSoup.ipynb new file mode 100644 index 0000000..ddedb55 --- /dev/null +++ b/Web Scraping/Web Scraping with BeautifulSoup.ipynb @@ -0,0 +1,347 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "provenance": [] + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + } + }, + "cells": [ + { + "cell_type": "code", + "source": [ + "#Requirements\n", + "#pip3 install requests\n", + "#pip3 install bs4" + ], + "metadata": { + "id": "-gVGfpsFg4Ns" + }, + "execution_count": 11, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# import these two modules bs4 for selecting HTML tags easily\n", + "from bs4 import BeautifulSoup\n", + "# requests module is easy to operate some people use urllib but I prefer this one because it is easy to use.\n", + "import requests\n", + "\n", + "# I put here my own blog url ,you can change it.\n", + "url=\"https://getpython.wordpress.com/\"\n", + "\n", + "#Requests module use to data from given url\n", + "source=requests.get(url)\n", + "\n", + "# BeautifulSoup is used for getting HTML structure from requests response.(craete your soup)\n", + "soup=BeautifulSoup(source.text,'html')\n", + "\n", + "# Find function is used to find a single element if there are more than once it always returns the first element.\n", + "title=soup.find('title') # place your html tagg in parentheses that you want to find from html.\n", + "print(\"this is with html tags :\",title)\n", + "\n", + "qwery=soup.find('h1') # here i find first h1 tagg in my website using find operation.\n", + "\n", + "#use .text for extract only text without any html tags\n", + "print(\"this is without html tags:\",qwery.text)\n", + "\n", + "\n", + "links=soup.find('a') #i extarcted link using \"a\" tag\n", + "print(links)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "29YQuSxKg_py", + "outputId": "fad81c49-e0ad-4f16-d716-97e5a820a146" + }, + "execution_count": 12, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "this is with html tags : Fun with python programming – A programming language for revolution\n", + "this is without html tags: Fun with python programming\n", + "Skip to content\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# here i extarcted href data from anchor tag.\n", + "print(links['href'])" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "dNci1cV-hDne", + "outputId": "4fa5d4cb-9d0c-4d6a-e025-631e879f5c0a" + }, + "execution_count": 13, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "#content\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# findall function is used to fetch all tags at a single time.\n", + "many_link=soup.find_all('a') # here i extracted all the anchor tags of my website\n", + "total_links=len(many_link) # len function is use to calculate length of your array\n", + "print(\"total links in my website :\",total_links)\n", + "print()\n", + "for i in many_link[:6]: # here i use slicing to fetch only first 6 links from rest of them.\n", + " print(i)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "95HDbH_6hGRa", + "outputId": "80fd7795-6972-4aea-a292-a8906ee82043" + }, + "execution_count": 14, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "total links in my website : 100\n", + "\n", + "Skip to content\n", + "\n", + "
\n", + "\n", + "Search\n", + "Fun with python programming\n", + "Home\n", + "Contact\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "second_link=many_link[1] #here i fetch second link which place on 1 index number in many_links.\n", + "print(second_link)\n", + "print()\n", + "print(\"href is :\",second_link['href']) #only href link is extracted from ancor tag" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "Y8bBLk4phJbk", + "outputId": "d527d42f-4bcd-4f60-a7cd-80a75a2a8f6c" + }, + "execution_count": 15, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "
\n", + "\n", + "\n", + "href is : https://getpython.wordpress.com/\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# select div tag from second link\n", + "nested_div=second_link.find('div')\n", + "# As you can see div element extarcted , it also have inner elements\n", + "print(nested_div)\n", + "print()\n", + "#here i extracted class element from div but it give us in the form of list\n", + "z=(nested_div['class'])\n", + "print(z)\n", + "print(type(z))\n", + "print()\n", + "# \" \" .join () method use to convert list type into string type\n", + "print(\"class name of div is :\",\" \".join(nested_div['class']))" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "S8IgJqz7hMWC", + "outputId": "8f59199c-222b-4eb4-a155-a06564817d01" + }, + "execution_count": 16, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "
\n", + "\n", + "['cover']\n", + "\n", + "\n", + "class name of div is : cover\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "wiki=requests.get(\"https://en.wikipedia.org/wiki/World_War_II\")\n", + "soup=BeautifulSoup(wiki.text,'html')\n", + "print(soup.find('title'))" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "HapUBD0xhPOI", + "outputId": "bf68db0d-e780-4dad-dcd2-5f12aeb49c1f" + }, + "execution_count": 17, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "World War II - Wikipedia\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "ww2_contents=soup.find_all(\"div\",class_='toc')\n", + "for i in ww2_contents:\n", + " print(i.text)" + ], + "metadata": { + "id": "uhxBXUPwhSMD" + }, + "execution_count": 18, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "overview=soup.find_all('table',class_='infobox vevent')\n", + "for z in overview:\n", + " print(z.text)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "FdBYCr3fhU9P", + "outputId": "75fe439e-6638-457a-8bed-eb8f96e42dc4" + }, + "execution_count": 19, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "World War IIClockwise from top left: \n", + "German Stuka dive bombers on the Eastern Front, 1943\n", + "British Matilda II tanks during the North African campaign, 1941\n", + "Soviet troops at the Battle of Stalingrad, 1942–1943\n", + "U.S. warships in Lingayen Gulf in the Philippines, 1945\n", + "Soviet soldier raising a flag over the Reichstag after the Battle of Berlin, 1945\n", + "U.S. atomic bombing of Nagasaki in Japan, 1945\n", + "Date1 September 1939 – 2 September 1945[a] (6 years, 1 day)LocationMajor theaters: \n", + "Europe\n", + "Pacific\n", + "Atlantic\n", + "Indian Ocean\n", + "South-East Asia\n", + "China\n", + "Japan\n", + "Middle East\n", + "Mediterranean\n", + "North Africa\n", + "Horn of Africa\n", + "Central Africa\n", + "Australia\n", + "Caribbean\n", + "North and South America\n", + "Result\n", + "Allied victory\n", + "Fall of Nazi Germany, Fascist Italy, and Imperial Japan\n", + "Allied military occupations of Germany, Japan, Austria, and Korea\n", + "Beginning of the Nuclear Age\n", + "Dissolution of the League of Nations and creation of the United Nations\n", + "Decolonisation of Asia and Africa and decline of European international influence\n", + "Emergence of the United States and the Soviet Union as rival superpowers and beginning of the Cold War (see Aftermath of World War II)Participants\n", + "Allies\n", + "AxisCommanders and leaders\n", + "Main Allied leaders:\n", + " Winston Churchill\n", + " Joseph Stalin\n", + " Franklin D. Roosevelt\n", + " Chiang Kai-shek\n", + "\n", + "Main Axis leaders:\n", + " Adolf Hitler\n", + " Hirohito\n", + " Benito Mussolini\n", + "Casualties and losses\n", + "\n", + "Military dead:\n", + "Over 16,000,000\n", + "Civilian dead:\n", + "Over 45,000,000\n", + "Total dead:\n", + "Over 61,000,000\n", + "(1937–1945)\n", + "...further details\n", + "\n", + "\n", + "Military dead:\n", + "Over 8,000,000\n", + "Civilian dead:\n", + "Over 4,000,000\n", + "Total dead:\n", + "Over 12,000,000\n", + "(1937–1945)\n", + "...further details\n", + "\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [], + "metadata": { + "id": "NBFRwleXhdEy" + }, + "execution_count": 19, + "outputs": [] + } + ] +} \ No newline at end of file From e804ac06010f83f968e33988681373f553630478 Mon Sep 17 00:00:00 2001 From: Aryan Sahay Date: Fri, 6 Oct 2023 12:12:13 +0530 Subject: [PATCH 2/3] Output Screen Shot --- Web Scraping/outputss.png | Bin 0 -> 35849 bytes 1 file changed, 0 insertions(+), 0 deletions(-) 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mode 100644 Web Scraping/Readme.md diff --git a/Web Scraping/Readme.md b/Web Scraping/Readme.md new file mode 100644 index 0000000..c919434 --- /dev/null +++ b/Web Scraping/Readme.md @@ -0,0 +1,13 @@ +Introduction: +Web scraping, web harvesting, or web data extraction is data scraping used for extracting data from websites using its HTML structure, In this post, I will explain basic fundaments of web scraping using python and also explore it by a live demonstration with two python libraries Beautifulsoup and requests respectively. + +What you will learn from this: +Basic understanding of web scraping +How to extract data from a website using classes and HTML tags +How to use requests module to get data +How to use Beautifulsoup + +Requirements: +python3 +requests +bs4