How to Scrape eBay in 2026: Listings, Prices, Sellers, and Auction Data

eBay remains one of the largest e-commerce marketplaces with over 1.3 billion live listings. Whether you're tracking prices, monitoring competitors, or building a deal-finding tool, scraping eBay programmatically gives you a serious edge. In this guide, I'll show you how to extract eBay product listings, prices, seller information, and auction data using Python. What Data Can You Scrape from eBay? eBay exposes a rich set of data on its public pages: Product listings — title, description, images, condition, item specifics Pricing data — current price, Buy It Now price, shipping cost, best offer status Auction data — bid count, time remaining, bid history Seller info — username, feedback score, feedback percentage, location Category data — breadcrumbs, item specifics, product identifiers (UPC, MPN) Setting Up Your Environment pip install requests beautifulsoup4 lxml Scraping eBay Search Results Let's start by scraping search results for a given keyword: import requests from bs4 import Be