How to Build a Price Tracker with Python in 2026: Amazon, eBay, and Walmart

Introduction Tracking prices across multiple e-commerce platforms is one of the most practical applications of web scraping. Whether you want to find the best deals for personal purchases, monitor competitor pricing for your business, or build a price comparison service, a cross-platform price tracker is an incredibly useful tool. In this tutorial, I'll show you how to build a price tracker that monitors products on Amazon, eBay, and Walmart — storing historical price data in SQLite so you can spot trends and get alerts when prices drop. What We're Building Our price tracker will: Scrape product prices from Amazon, eBay, and Walmart Store price history in a local SQLite database Detect price drops and alert you Run on a schedule to track prices over time The Scraping Challenges Per Platform Each platform has its own quirks: Platform Difficulty Main Challenge Amazon Hard Aggressive bot detection, dynamic content eBay Medium Auction vs. Buy-It-Now pricing, less anti-bot Walmart Hard Heav