Web Scraping ETL Pipeline
End-to-end data extraction and analysis
The Problem
Data from websites needs systematic extraction, cleaning, and storage for analysis. Manual approaches don't scale.
What I Built
Built a Python pipeline using BeautifulSoup for extraction, pandas for transformation, SQLite for storage, and visualization for analysis.
My Role
Designed and built the complete ETL pipeline including scraping, transformation, storage, and visualization.
See It In Action
Product Price Distribution Analysis
Product Rating Distribution
Price vs Rating Correlation
Review Sentiment Analysis
Top Authors Analysis
How It Works
BeautifulSoup for HTML parsing
Requests for HTTP handling
Pandas for data transformation
SQLite for persistent storage
Data quality validation checks
Key Takeaways
Robust error handling is essential for scraping
Data validation prevents downstream issues
Modular design improves maintainability