Books to Scrape

The Book Store Data Scraper is a Python-based web scraping project designed to efficiently extract essential information from the "Books to Scrape" website. It gathers key details such as book titles, prices, and availability status across multiple pages, organizing the data into a structured CSV file for streamlined analysis.

Built using Python libraries such as requests, BeautifulSoup, and pandas, this project showcases my expertise in web scraping, data processing, and automation. With robust error handling incorporated, the scraper ensures data accuracy and reliability throughout the extraction process.

This project highlights practical applications in e-commerce analytics and demonstrates my proficiency in automating data collection tasks, managing large datasets, and generating meaningful insights from web-sourced data.