Book Store Scraper

The Book Store Scraper is a Python-based web scraping tool designed to extract information from book store websites. This project aims to provide a convenient way to gather details about books, prices, and other relevant data from various online bookstores.

Features

Data Extraction: Retrieves book details such as title, author, price, and more.
Customizable: Adjustable settings for extracting specific information based on your requirements.
Output Formats: Save extracted data in various formats, such as JSON or CSV.

Prerequisites

Python 3.8
Dependencies List -
Requests: HTTP library for making web requests.
- Install: pip install requests
Beautiful Soup: HTML parsing library for pulling data out of HTML and XML files.
- Install: pip install beautifulsoup4
Lxml: XML and HTML parsing library for Python.
- Install: pip install lxml
Selenium: Browser automation tool for web scraping (useful for dynamic content).
- Install: pip install selenium

Acknowledgements

Requests: The Requests library made it easy to handle HTTP requests in our scraper.
Beautiful Soup: Special thanks to Beautiful Soup for providing a powerful tool for HTML parsing in Python.
Lxml: Kudos to the Lxml library, which significantly enhanced XML and HTML parsing capabilities in our project.
Selenium: We appreciate the Selenium project for enabling browser automation, allowing us to scrape dynamically loaded content from Wikipedia pages.

Contact

Email : miteshgupta2711@gmail.com

Linkedin : https://www.linkedin.com/in/mitesh-gupta/

Twitter : https://twitter.com/mg_mitesh