E-commerce Price Monitoring: Scraping Amazon, eBay, Walmart for Price Alerts

Price monitoring is one of the most practical applications of web scraping. Whether you're a shopper hunting deals, a seller tracking competitors, or a business monitoring market prices, automated price tracking saves hours of manual checking. In this guide, I'll show you how to build a price monitoring pipeline for major e-commerce platforms. The Price Monitoring Pipeline A complete price monitoring system has four stages: Scrape — Collect current prices from target sites Store — Save price history in a database Detect — Identify price changes that matter Alert — Notify when prices drop below thresholds Setting Up the Data Model from dataclasses import dataclass from datetime import datetime import sqlite3 @dataclass class PricePoint : product_url : str product_name : str price : float currency : str platform : str timestamp : datetime def init_database ( db_path : str = " prices.db " ): conn = sqlite3 . connect ( db_path ) conn . execute ( """ CREATE TABLE IF NOT EXISTS prices ( id I