Active listings tell you what sellers are asking. Sold listings tell you what buyers paid. That is the whole reason to learn how to find them, and there are more ways to get there than most sellers realize.
The pricing pillar in this group covers why sold comps matter and how to read them once you have them. This piece is the map to the data itself: every path in, what each path shows you, and where the deeper tools live.
The search filter on desktop
Start with a normal eBay search for the item you want to research. On the results page, the results filter panel carries a sold-items option. Activate it and the results repopulate with completed sales only, each entry marked as sold with the date it closed and the final price. What sold, when, and for how much reads straight off the results page without clicking into individual listings.
You can combine the sold filter with other filters on the same panel. Narrow by condition, by price range, by category, by seller location. The more specific you get, the closer your results match the item you are actually pricing. A search for a broad term with the sold filter on gives you volume. The same search with condition and category filters applied gives you comps.
Advanced Search
Advanced Search is the other desktop path and it offers one thing the sidebar filter does not: the ability to set all your constraints before you run the search.
Click “Advanced” next to the search bar. Enter your keywords, choose a category if you want to narrow, and check “Completed listings” or “Sold listings” before you submit. eBay’s pricing guidance describes this path directly: navigate to Advanced Search, input descriptive keywords, choose Completed listings, and search.
Advanced Search also lets you filter by price range, item location, seller, and listing type before you see any results. For a seller who knows exactly what they are looking for, this path cuts out the back-and-forth of adjusting sidebar filters after the fact.
The distinction between “Completed listings” and “Sold listings” matters here. Checking “Sold” shows you only the listings that ended with a sale. Checking “Completed” shows you everything that ended, sold or not. The completed view is broader and more useful when you want to see the full picture: what price range sells, and what price range sits until the listing expires without a buyer.
The mobile app path
The mobile app has the same data but the path to it is different enough to trip sellers who learned on desktop.
Open the eBay app and run your search. Tap the filter button near the top of the results screen. Inside the filter panel, look for the option to show sold or completed items. Enable it and the results update to show only ended listings with their final prices.
The mobile view compresses the information into a tighter layout, with the final price and end date riding each result. Scroll through the results the same way you would on desktop, and tap into individual listings to see full photos and descriptions for closer comps.
The app is useful for checking comps on the go, especially at estate sales, flea markets, and antique shops where you are holding the item and need a quick read on what similar pieces have sold for. A ten-second search with the sold filter on gives you a range before you decide whether to buy.
Saved searches that spare you the rebuild
A saved search stores a set of keywords and filters so you can re-run it in one tap. Do not lean on its alerts as a sold-data feed; the comp value is the re-run itself. Save the search once, and your filtered view is a tap away instead of a rebuild.
For categories you sell regularly, open the saved search on a cadence, apply the sold filter, and read what has closed since you last looked. You see what is selling, at what price, in what condition, without reconstructing the query each time.
Keep saved searches for your core inventory categories and check them weekly. Over time, you build a mental pricing index for your categories, and that index is backed by real sold data, not memory and not active-listing asking prices.
Completed versus sold: reading what did not sell
The completed filter is the underrated half of this tool. It shows you what failed alongside what succeeded, and the gap between the two is where the pricing lesson lives.
A completed listing that did not sell shows up in the results marked as ended rather than sold. Its asking price is a data point: somebody set that number and no buyer arrived. Maybe the price was too high. Maybe the photos were weak. Maybe the condition description was vague. You cannot always tell why from the listing alone, but you can see where the ceiling sits, the price above which this item does not move.
Read the sold and unsold listings side by side. If an item sells consistently in a narrow range and the unsold listings are all above that range, the market has told you the number. If items in the same range sometimes sell and sometimes do not, something else is driving it, usually condition, photos, or title quality, and that is worth investigating.
The completed view also catches auctions that closed without a bid, which tells you something about starting prices and demand. An auction with zero bids at a certain starting price does not mean the item is worthless. It means nobody wanted it at that specific entry point in that specific window. The same item at a lower start or in a different week might draw a crowd.
Product Research: the three-year window
eBay’s Product Research tool, available free to all sellers in the Research tab of Seller Hub, goes deeper and further back than the standard search filters.
Where the sold-listing search covers roughly the previous ninety days, Product Research reaches back up to three years. eBay describes it as providing access to three years of eBay sales data for millions of items, an exclusive insights tool for market analysis.
You can search by keyword or by product identifiers like UPC, EAN, or ISBN, then narrow by price range, format, condition, and buyer or seller location. The tool returns calculated metrics rather than raw listings: average sold price, sold price range, average shipping costs and the number of listings offering free shipping, sell-through rate, the number of sellers who sold the item, and the split between auction and fixed-price sales.
The sell-through rate is particularly useful for inventory decisions. It tells you not just what price an item commands but how often it actually moves, which is the difference between an item worth listing and an item worth passing on.
The format breakdown answers the auction-versus-fixed-price question with data instead of instinct. If a particular collectible sells ninety percent of the time at fixed price, that is a strong signal that auction is not the format for it. If the auction percentage is unusually high, competition among buyers is pushing sales into that format, which might mean the item is worth auctioning.
Product Research also supports cross-marketplace analysis, so you can compare pricing across different eBay sites if you sell internationally.
What carries over
Use the search sidebar for quick comps during day-to-day work. Use Advanced Search when you know exactly what you are looking for and want to set your constraints upfront. Use the mobile app when you are in the field and need a price check before buying. Save your core searches so the sold view is one tap away. Read completed listings alongside sold listings to see where the ceiling sits. Move to Product Research when ninety days is not enough, the item is scarce, or you need calculated metrics instead of raw results.
The companion piece in this group covers how to read those comps once you have them: how many you need, how to match condition across comps, and what auction and fixed-price comps tell you differently.