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A Python web scraper that automatically extracts book data from an e-commerce demo site. It navigates through all 50 pages of the catalog, collecting the title, price, availability status, and star rating for each book, then saves everything into a clean, structured CSV file.

The scraper includes proper error handling — if a page fails to load due to a timeout or connection issue, it logs the error and continues with the next page instead of crashing, ensuring the process completes reliably even under unstable network conditions. A short randomized delay between requests is used to avoid overloading the target server.

Tech stack: Python, Requests, BeautifulSoup4, Pandas.

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