This project focuses on web scraping using Python's Beautiful Soup library to extract information from a website. The script retrieves data about books listed on a specific webpage and saves it to a CSV file.

• Python 3.x
• Necessary Python libraries: requests, beautifulsoup4

1. Clone the repository or download the project files.
2. Install the required Python libraries:

   pip install requests beautifulsoup4

Open the web_scraper.py file. Set the url variable to the URL of the webpage you want to scrape. Run the web_scraper.py script. The extracted data will be stored in a CSV file named scraped_data.csv in the project directory.

Copy code
- web_scraper.py         # Python script for web scraping
- README.md              # Project documentation (you're reading it!)
- scraped_data.csv       # CSV file containing extracted data

• Imports necessary libraries: requests, BeautifulSoup, csv, re.
• Fetches HTML content from a specified URL.
• Scrapes book information (title, price, availability) using Beautiful Soup.
• Cleans the extracted data for consistency and stores it in a CSV file.
• Includes error handling for HTTP requests and exceptions.

• The script employs a try-except block to catch various exceptions:
• requests.exceptions.HTTPError: Handles HTTP errors (4xx or 5xx status codes).
• requests.exceptions.RequestException: Catches general request exceptions.
• Exception: Provides a catch-all for any other unexpected errors.

Contributions to improve or extend this project are welcome! Fork the repository, make your changes, and submit a pull request.

This project is licensed under the MIT License.

This project was created for educational purposes. Respect the terms of service and permissions of the websites you scrape.

For any questions or suggestions, feel free to contact the project maintainer at [email protected].