Every Listing, One Row
Each listing lands as a row with its title, price, condition, shipping cost, listing format, and item location — the details behind each result, lined up so you can compare instead of clicking.
Stop pricing against listings that never sell — pull eBay’s completed sales, live auctions, and seller data into one sortable table.
AllyHub reads any eBay search, category, or seller page — working in the eBay session you already have open — into one sortable table, active listings and completed sales side by side, every field you’d otherwise click each listing to read.
Each listing lands as a row with its title, price, condition, shipping cost, listing format, and item location — the details behind each result, lined up so you can compare instead of clicking.
AllyHub pulls the completed and sold listings with the price each one closed at and the date it sold — so you price against what items go for, not the asks still sitting live.
Every listing carries its format, current bid count, time left, and Best Offer status — so a hot auction with an hour to go never reads the same as a stale fixed-price sticker.
Each seller’s username, feedback score, and positive-feedback percentage sit beside the price — a 99.8% seller stands apart from a day-old account before you send a dollar their way.
Watchers and quantity sold surface the listings with real demand behind them, not just the ones that happen to be on the page.
Export uniform JSON or CSV, the same columns every run, ready to drop into a pricing sheet or feed a repricer.
Turn an eBay search, category, or seller page into structured listing data in three steps.
Point AllyHub at a search keyword, category page, or seller storefront, and add the eBay filters that matter — condition, listing format, price band, or item location.
It pages the results in your signed-in eBay session and captures each listing’s title, price, format, bids, time left, sold status, condition, shipping, location, seller feedback, and watchers.
Average the sold comps by condition, shortlist the auctions ending soon, or export the set — then save the run as a Recipe that re-runs on schedule.
On eBay the asking price is the easy number to grab — and the least useful one to price against.
Half of what’s on the page is a wish — an ask nobody’s paid. AllyHub pulls what actually changed hands, so your number stands on money that actually moved, not a sticker still waiting for a buyer.
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eBay’s sold prices, live bids, and seller feedback don’t come off an API, and proxy scrapers get challenged before they reach them. AllyHub reads the pages from the eBay account you’re logged into, so the sold and seller columns land filled where a proxy would hand back gaps.
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A $40 tag means nothing until you know the format. With the bid count, time left, and Best Offer status beside the price, a $40 auction with 22 bids and two hours left never reads like a $40 listing nobody has touched.
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The first crawl of a category, AllyHub learns where the sold filter and auction fields live and keeps it as a Recipe. Later runs skip that exploration, so your comps refresh gets faster every time and each run costs less.
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Resellers, dropshippers, pricing analysts, and collectors working from real eBay sold data.
You’re eyeballing asking prices to decide what to pay, and half of them never sell. AllyHub pulls the sold comps for a category — final prices and sold dates — and averages them by condition, so you know an item’s real resale value in minutes instead of an afternoon of clicking.
You can’t tell proven demand from a listing nobody wants. AllyHub reads Buy It Now listings across a category with watchers, quantity sold, shipping cost, and seller feedback together — so you spot the products that actually move and the suppliers worth trusting without opening a hundred tabs.
Price only makes sense once you control for condition, format, and seller. AllyHub delivers structured records across a whole category in one dataset — sold and active, auction and fixed-price — ready for the pivot tables and demand models behind a pricing call.
The underpriced auction is buried and gone by morning. AllyHub captures condition, format, time left, and item location, so you can surface a rare variant priced as common — or an auction ending overnight with no bids — before another buyer notices.
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Quick answers on turning eBay listings into pricing and sourcing decisions.
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 returns it as a sortable set and saves the run as a Recipe you rerun in seconds.
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 the paid plans.
Yes. Ask AllyHub for completed or sold listings and it captures the final price and the sold date for each — the real comps for pricing research, rather than the active asking prices that rarely match what items fetch. eBay’s public sold results reach back about 90 days, so that’s the window a single run draws from.
Neither. AllyHub runs in your own eBay session and reads the pages there — no developer account to set up, no key, and nothing to script. Describe the pull in plain language and get structured JSON or CSV back, ready for a spreadsheet or a repricer.
AllyHub works on eBay.com, the US marketplace. The international eBay sites — UK, Germany, Australia, and the rest — sit outside what it reaches today, so a run stays on eBay.com’s listings and sold results.
Two things. First, it organizes the same fields around the decision — a sold-comp average, an auction shortlist, a seller you can trust — instead of stopping at a bare spreadsheet. Second, rival tools re-learn the eBay layout on every job and charge the same each time, while AllyHub keeps it as a Recipe, so it compounds with every task and costs less the more you run it.