eBay Data Mining: Prices, Sellers, and Sold Listings with Python

eBay's marketplace generates incredible pricing data — especially "sold listings," which reveal what items actually sell for versus what sellers are asking. This data powers reselling arbitrage, market research, and pricing models. Why Mine eBay Data? Arbitrage opportunities : Find items selling for less than their market value Price history : Track how item values change over time Seller analysis : Identify top sellers and their strategies Market sizing : Understand demand for specific product categories Building an eBay Price Analyzer import requests from bs4 import BeautifulSoup import pandas as pd import re import time class EbayMiner : BASE_URL = " https://www.ebay.com/sch/i.html " def __init__ ( self ): self . session = requests . Session () self . session . headers . update ({ ' User-Agent ' : ' Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) ' , ' Accept ' : ' text/html,application/xhtml+xml ' , }) def search_sold_listings ( self , query , pages = 3 ): """ Search eBay sold/comp