eBay Product Scraper

An eBay product scraper collects listing data from search, category, and seller pages — title, price, format, condition, bids, and seller feedback — and returns it as a structured export. AllyHub goes further: it auto-pages through results, extracts sold comps, and saves the run as a Recipe you rerun in seconds.

Price your inventory against real sold comps, shortlist underpriced auctions ending soon, vet a seller's feedback before you buy, spot which Buy It Now products actually move, or build a category-wide dataset for demand modeling. Each answer settles a real call — what to pay, what to list at, or whether an auction is worth a bid.

Yes. Ask AllyHub for completed or sold listings and it captures the final sale price and sold date for each one. That gives you real sold-comps for pricing research, rather than the active asking prices that rarely match what items actually fetch.

Yes. Single searches and smaller listing sets run on the free plan. Full category sweeps, bulk seller-page extraction, scheduled sold-comps refreshes, and downstream pricing pipelines are covered by paid plans.

Yes. Point AllyHub at a seller storefront, a category page, or a search keyword, and it pages through every matching result on its own. Mix filters like condition, format, and item location to narrow the set before extraction.

None required. AllyHub works without eBay API credentials or code — describe what you want in plain language and get structured results back as JSON or CSV, ready to drop into a spreadsheet or a repricer.

Two differences. First, framing: most eBay scrapers stop at a spreadsheet of fields, while AllyHub organizes the same data around the decision — a sold-comp average, an auction shortlist, a seller you can trust. Second, economics: rival tools re-learn the eBay layout on every job and charge the same each time, while AllyHub remembers it in a Recipe. That's how it maximizes ROTI — Return on Token Investment — and gets cheaper the more you run it.