Books Pagination Scraper

This project is an advanced Python web scraping script that extracts detailed book information from multiple pages of the website:

https://books.toscrape.com

The script automatically navigates through all catalogue pages and collects structured data from individual book detail pages.

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Features

• Pagination scraping
• Multi-page data extraction
• Scrapes individual book detail pages
• Extracts structured product information
• Handles missing descriptions safely
• Saves all data into CSV format
• Uses urljoin for safe URL handling

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Data Extracted

This script extracts:

• Book Name
• Star Rating
• Product Description
• UPC
• Product Type
• Price (excl. tax)
• Price (incl. tax)
• Tax
• Availability
• Number of Reviews

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Tools Used

• Python
• Requests
• BeautifulSoup
• CSV Module
• urllib.parse (urljoin)

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Output

The script generates:

book_pagination_data.csv

This CSV file contains structured information about all books from the website.

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How to Run

Install required libraries:

pip install requests beautifulsoup4

Run the script:

python books_pagination_scraper.py

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Project Purpose

This project demonstrates advanced web scraping techniques including:

• Pagination scraping
• Nested page scraping
• Structured table data extraction

It was created as part of learning real-world data extraction workflows.

Sample Output