This project is a Python-based web scraper that extracts laptop data from Amazon. The goal was to automate data collection to support product comparison and basic analysis.
Goals: Collect laptop specifications, prices, and ratings from Amazon Store data in a structured format (CSV or DataFrame) Make it easier to analyze and compare products manually or programmatically
Business Needs
Track laptop prices for market research
Help buyers and businesses make data-informed decisions
Understand product availability, features, and price changes over time
Insights
Filtered and cleaned the data to remove duplicates and irrelevant items
Identified patterns like price ranges, popular brands, and ratings
Provided structured data that can be integrated into other analysis tools
