Add example for web scraping book titles and prices with CSV output

Author: Pankaj-Str

23 Day abstract/Example.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "669f4d79",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Washing apples...\n",
+      "Cutting apples...\n",
+      "Squeezing apples...\n",
+      "Here is your apple juice!\n"
+     ]
+    }
+   ],
+   "source": [
+    "class JuiceMachine:\n",
+    "    def make_apple_juice(self):\n",
+    "        # hidden steps inside\n",
+    "        self.__wash_apples()\n",
+    "        self.__cut_apples()\n",
+    "        self.__squeeze_apples()\n",
+    "        print(\"Here is your apple juice!\")\n",
+    "\n",
+    "    def __wash_apples(self):\n",
+    "        print(\"Washing apples...\")\n",
+    "\n",
+    "    def __cut_apples(self):\n",
+    "        print(\"Cutting apples...\")\n",
+    "\n",
+    "    def __squeeze_apples(self):\n",
+    "        print(\"Squeezing apples...\")\n",
+    "\n",
+    "# User just presses button\n",
+    "machine = JuiceMachine()\n",
+    "machine.make_apple_juice()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.13.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

58 Day Web Scraping/Example01.md

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+#### This example will scrape book titles and prices from the sample website `http://books.toscrape.com/`, use regex to extract prices, and save the data to a CSV file. It’s beginner-friendly and includes clear explanations.
+
+```x-python
+
+```python
+import requests
+from bs4 import BeautifulSoup
+import re
+import csv
+
+# Step 1: Fetch the web page
+url = "http://books.toscrape.com/"
+response = requests.get(url)
+
+# Check if the request was successful
+if response.status_code != 200:
+    print("Failed to fetch page")
+    exit()
+
+# Step 2: Parse the HTML
+soup = BeautifulSoup(response.text, "html.parser")
+
+# Step 3: Extract book titles and prices
+books = soup.find_all("article", class_="product_pod")
+data = []
+
+for book in books:
+    # Get book title
+    title = book.find("h3").find("a")["title"]
+    
+    # Get price and use regex to extract the numerical part (e.g., 51.77 from £51.77)
+    price_text = book.find("p", class_="price_color").text
+    price_match = re.search(r"£(\d+\.\d{2})", price_text)
+    price = price_match.group(1) if price_match else "N/A"
+    
+    data.append([title, price])
+
+# Step 4: Save to CSV
+with open("scraped_books.csv", "w", newline="", encoding="utf-8") as file:
+    writer = csv.writer(file)
+    writer.writerow(["Title", "Price (£)"])  # Header
+    writer.writerows(data)  # Data
+
+print("Data saved to scraped_books.csv")
+
+# Step 5: Print a few results
+print("\nSample Results:")
+for title, price in data[:3]:  # Show first 3 books
+    print(f"Book: {title}, Price: £{price}")
+```
+
+```
+
+### Explanation
+1. **Fetching the Page**:
+   - Uses `requests.get()` to download the HTML from `http://books.toscrape.com/`.
+   - Checks the response status to ensure the page was fetched successfully.
+
+2. **Parsing with BeautifulSoup**:
+   - `BeautifulSoup` parses the HTML to make it easy to navigate.
+   - Finds all `<article>` tags with class `product_pod`, which contain book information.
+
+3. **Extracting Data**:
+   - **Title**: Extracts the book title from the `<a>` tag’s `title` attribute within each `<h3>`.
+   - **Price**: Finds the price in the `<p>` tag with class `price_color`. Uses regex pattern `r"£(\d+\.\d{2})"` to extract the numerical part (e.g., `51.77` from `£51.77`).
+     - `£`: Matches the pound symbol.
+     - `(\d+\.\d{2})`: Captures digits followed by a decimal point and exactly two digits.
+     - `group(1)`: Retrieves the captured numerical part.
+
+4. **Saving to CSV**:
+   - Writes the titles and prices to a CSV file named `scraped_books.csv` with headers.
+   - Uses `utf-8` encoding to handle special characters.
+
+5. **Output**:
+   - Prints a confirmation message and displays the first three scraped books for verification.
+
+### Expected Output
+The script creates a file `scraped_books.csv` with content like:
+```csv
+Title,Price (£)
+A Light in the Attic,51.77
+Tipping the Velvet,53.74
+Soumission,50.10
+...
+```
+
+Console output (sample):
+```
+Data saved to scraped_books.csv
+
+Sample Results:
+Book: A Light in the Attic, Price: £51.77
+Book: Tipping the Velvet, Price: £53.74
+Book: Soumission, Price: £50.10
+```
+
+### Prerequisites
+Install the required libraries:
+```bash
+pip install requests beautifulsoup4
+```
+
+### Notes
+- **Website**: The example uses `http://books.toscrape.com/`, a site designed for scraping practice.
+- **Ethics**: Always check a website’s `robots.txt` and terms of service before scraping.
+- **Customization**: You can modify the regex pattern (e.g., `r"\$(\d+\.\d{2})"` for USD) or extract other data like book ratings.
+- **Chart Option**: If you’d like a chart (e.g., a histogram of prices), let me know, and I can generate one using the scraped data!
+