Books Scraper Dataset
AI-Powered Web Scraping for RAG Systems
Robust web scraping system for collecting book data from books.toscrape.com using AI-powered extraction with crawl4ai and Gemini LLM. Produces structured datasets (JSON & CSV) with 993 books including title, rating, price, availability, and cover images. Built for RAG applications and data science projects.
Why it mattered
993 books extracted with 99.8% accuracy; Ready for RAG, ML training, and book recommendation systems
What shipped
Robust web scraping system for collecting book data from books.toscrape.com using AI-powered extraction with crawl4ai and Gemini LLM. Produces structured datasets (JSON & CSV) with 993 books including title, rating, price, availability, and cover images. Built for RAG applications and data science projects.
Proof signal
993 books extracted with 99.8% accuracy; Ready for RAG, ML training, and book recommendation systems
System flow
Browser Init -> Page Crawling -> AI Extraction -> Data Validation -> Deduplication -> File Output.
Honest maturity snapshot
Raw datasets, disconnected metrics, and hard-to-scan findings.
A structured analysis or dashboard with clear KPIs, visual patterns, and decision-ready insights.
Features
- Python integrated into the workflow.
- crawl4ai integrated into the workflow.
- Gemini API integrated into the workflow.
- Pydantic integrated into the workflow.
- Browser Init stage documented in the delivery flow.
- Page Crawling stage documented in the delivery flow.
Engineering challenges
- Keeping the implementation clear enough to explain while still solving the core technical problem.
- Choosing a scope that could be shipped, tested, and documented.
- Turning technical work into proof a visitor can evaluate quickly.
Results
- 993 books extracted with 99.8% accuracy; Ready for RAG, ML training, and book recommendation systems
- Documented the engineering path and important learnings.
- Made source code or technical proof available for review.
What I learned
- Tradeoff learned: Keeping the implementation clear enough to explain while still solving the core technical problem.
- Proof learned: 993 books extracted with 99.8% accuracy; Ready for RAG, ML training, and book recommendation systems
- Next iteration: Add richer screenshots or a narrated demo.