The Closing Numbers
Every completed sale in eBay’s sold results comes back with its price, its date, and the item’s condition — one row per close, ready to average or chart.
eBay shows ninety days of sold prices, then drops them. AllyHub reads that window and re-runs on your schedule, so your series outlasts eBay’s.
eBay keeps ninety days of what things sold for, and then the record is gone. AllyHub takes that window — the closes, the current asks, the live auctions, split by condition — across your whole watchlist, and keeps taking it on a schedule so the series doesn’t end when eBay’s does.
Every completed sale in eBay’s sold results comes back with its price, its date, and the item’s condition — one row per close, ready to average or chart.
Active listings land in the same table beside the closes, so the distance between what sellers want and what the market pays is a column, not a hunch.
For anything running as an auction, AllyHub reads the current bid, the number of bids so far, the time remaining, and whether Best Offer is switched on.
New, used, refurbished, and for-parts sell at different numbers, and AllyHub keeps them apart — each tier gets its own comps, its own spread, its own median.
Give AllyHub a list — item names, listing URLs, or saved searches — and they run together, each row tagged to its item, so one sort ranks the lot.
Save the run as a Playbook and AllyHub repeats it on your cadence — weekly, nightly, before a big buy — so from that day on you have a price record eBay no longer keeps.
From one item name to a priced comp table, then the same table again next week.
Name the item, paste listing URLs, or point at a saved search. Add condition, a keyword to exclude, or a price band if it matters.
It pulls the sold results and the active ones together — price, date, condition, shipping, seller, plus bid count and time left on anything at auction — into one table.
Read the median, the spread, and the gap to today’s asks. Keep it as a Playbook, and tell it to compare each run with the last.
Most eBay price tools show you the same ninety days and call it history.
eBay’s public sold search stops at about ninety days; past that the sale drops off the search results. AllyHub works that public window rather than implying a longer archive, and starts your own record from the first run.

Blend a boxed unit, a scratched one, and a for-parts shell into a single average and you get a number that describes nothing on the page. Priced tier by tier, the used band tells you what to list at and the for-parts band tells you what to pay.

Proxy-based trackers hit eBay from a datacentre address, collect a captcha, and hand back rows where the sold prices never arrived. AllyHub works in a browser you are already signed into, so the pages it reads are the pages you would see yourself.

Once the run is saved, the weekly check is a click rather than a setup. Tell AllyHub to compare this run with the previous one and it names what rose, what fell, and what stopped selling. Your AllyHub never starts from scratch again.

Sellers repricing live inventory, buyers waiting for a number, cross-platform teams, and anyone who has to defend a valuation.
You priced it three weeks ago from comps that have since expired, and the listing is either sitting untouched or leaving money behind — and from where you sit those look identical. Re-read the closes on a schedule and the answer arrives before the item goes stale, with the new number attached.
You know roughly what the thing is worth, you know today’s asks are above it, and the only way to catch the dip is to look every day — which you will do for about four days. Put it on the watchlist instead, and the scheduled run tells you when the closes drop into your range.
The same SKU is priced by three different people on three different marketplaces, and eBay is the one nobody re-checks. Track the eBay side on a cadence and set its median beside your other channels, so the price that drifts gets caught in a sort instead of in a quarterly review.
A valuation is only as good as the comps behind it, and eBay’s comps expire — the sale you cited in March is unfindable by July. Capture the closes with their dates at the moment you write the valuation, and the evidence stays with the file rather than with eBay’s search index.
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What people ask before tracking eBay prices — how far back the data goes, what’s covered, and what it costs.
An eBay price tracker watches what an item is listed for and what it actually sells for, then reports the movement rather than a single snapshot. AllyHub reads both sides from eBay itself, keeps the condition tiers apart, runs a whole watchlist at once, and repeats on the schedule you set.
Yes — checking one item’s sold and active prices is on the free plan. Watchlists of many items, scheduled repeat checks, run-over-run comparisons, and exports into your own sheets or systems are what the paid plans cover.
About ninety days, because that’s how far eBay’s own sold search reaches — after that a completed sale drops out of the public results. So the honest answer is that the deep history is the one you start today: save the run, let it repeat, and the series grows from the first check forward.
No. AllyHub reads the eBay pages in a browser you’re already signed into, so there’s no developer account to apply for, no key to rotate, and nothing to bolt onto your browser. Ask for the check in a sentence, and export the table when you want it somewhere else.
eBay.com, the US site, and only that one. The international eBay domains sit outside what this tool handles today, so if your comps have to come from outside the US, you’ll need another route for them. Everything described on this page is about ebay.com listings and their sold results.
Most are a dashboard you visit — a seven- or thirty-day window, a chart you can’t take with you, and a subscription that resets nothing. AllyHub hands you the rows, keeps the whole watchlist in one run, saves the setup as a Playbook, and compounds with every task, so the tenth week’s check costs a sentence and the record is yours to keep.