Access the most comprehensive eBay sold listings database built for resellers. Our platform tracks completed sales across 40+ brands in real time, giving you actual sold prices, sell-through velocity, demand trends, and competitive market signals — everything you need to source smarter and price with confidence.
Explore Sold Data →Our eBay sold listings database covers the most in-demand reselling brands. Every completed sale is captured, categorized, and made searchable so you can research any brand or product category in seconds.
Every single listing in our eBay sold data platform shows the actual transaction price — the exact amount the buyer paid when the sale completed. We do not use estimates, averages, or algorithmic projections. You see real numbers from real sales. Filter the data by item condition, size, color, and date range to drill down into the exact market segment you care about. Whether you are pricing a pair of used Jordan 4s or a brand new Moncler jacket, our sold price data gives you the ground truth you need to set competitive prices and maximize your margins on every item you list.
Knowing the sold price is only half the picture. Our velocity metrics reveal how quickly items are actually selling on eBay — measured in units per day, per week, and per month. You can instantly see whether demand for a specific product is trending upward, holding steady, or declining. The velocity data is broken down by brand, category, and individual product so you can identify hot items before the rest of the market catches on. Combine velocity with price data to calculate true demand scores and find the sweet spot between high sell-through rates and strong profit margins. Stop guessing which products to source — let the data tell you what the market wants right now.
REPDASH transforms raw eBay sold listings into actionable market intelligence. Our brand-level analytics dashboard lets you compare sell-through rates, average sold prices, and demand trends across every brand we track. Use the data to identify which product categories are growing, which brands are losing momentum, and where the highest margins exist right now. Whether you are a full-time reseller deciding what to source at a thrift store or a sneaker reseller evaluating a bulk purchase, our market research tools give you the competitive edge to make confident, data-driven decisions. Search by brand, category, price range, or keyword to find exactly the insights you need.
| Brand | Avg. Price | Velocity | Trend |
|---|---|---|---|
| Jordan | $187 | 14.2/d | ▲ +23% |
| Nike | $124 | 22.8/d | ▲ +11% |
| Moncler | $485 | 3.1/d | ▶ +2% |
| Supreme | $96 | 8.4/d | ▼ -8% |
| Stone Island | $210 | 5.6/d | ▲ +15% |
Every successful reseller knows that pricing decisions should be grounded in real market data — not gut feelings, not competitor guesses, and certainly not what a product originally retailed for. eBay sold listings represent the single most valuable data source available to resellers because they show you what buyers are actually paying. Unlike active listings, which only reflect what sellers hope to get, sold listings reveal true market value based on completed transactions between real buyers and sellers.
The challenge has always been accessing and organizing this data at scale. eBay shows completed listings for a limited time, and manually tracking sold prices across dozens of brands and thousands of SKUs is impractical. That is exactly why REPDASH was built. Our platform automatically collects, categorizes, and analyzes eBay sold listings data across more than 40 brands, giving you a searchable database of over 2.4 million completed sales that updates every six hours.
Smart sourcing starts with understanding what the market is willing to pay. Before you commit to buying inventory — whether at a thrift store, an outlet, a wholesale lot, or an online drop — you should know the average sold price, the sell-through rate, and the demand trend for the items you are considering. REPDASH makes this process fast and reliable.
Start by searching for the brand or product you are evaluating. Our sold data dashboard shows you the average sold price over the past 30, 60, and 90 days, along with the price range from lowest to highest sale. The velocity metric tells you how many units are selling per day, so you can estimate how long your inventory will take to move. If velocity is high and prices are stable or rising, you have a strong sourcing opportunity. If velocity is declining and prices are dropping, you might want to pass or negotiate a lower cost.
Active listings on eBay only show you what sellers are asking — not what buyers are willing to pay. A product might have 500 active listings at a certain price point, but if none of them are selling, that price point is meaningless. Sold listings data cuts through the noise by showing you only the transactions that actually completed. This distinction is critical for accurate pricing, competitive analysis, and inventory planning.
REPDASH focuses exclusively on completed sales because that is the only data that reflects real market demand. When you see a sold price in our database, it means a buyer made a purchase at that exact amount. No estimates, no projections, no guesswork. This level of accuracy is what separates professional resellers who consistently hit their margin targets from hobbyists who are constantly adjusting prices and wondering why items are not selling.
Markets move. Prices fluctuate based on seasonality, new releases, cultural trends, and supply changes. With up to 12 months of historical sold data, REPDASH lets you see these patterns clearly. You can identify seasonal peaks — for example, The North Face jackets selling at premium prices from October through January — and time your sourcing and listing strategies accordingly. You can spot emerging trends early, like a sudden spike in demand for a specific sneaker colorway or a designer brand gaining traction with younger buyers.
Historical data also helps you understand price depreciation curves. Most sneakers lose value over time after their initial release hype, but the rate of decline varies by brand, model, and colorway. REPDASH gives you the data to model these curves so you can decide the optimal time to sell your inventory for maximum return. Whether you are holding stock for a price recovery or liquidating quickly to free up capital, the historical sold data informs that decision.
Price alone does not tell the full story. A product with a high average sold price but extremely low velocity might not be worth sourcing if you need quick turnover. Conversely, a lower-priced item with very high velocity can generate more total profit through volume. REPDASH combines price data with velocity metrics and demand scoring to give you a complete picture of market opportunity.
Our demand signals aggregate multiple data points — sold volume, listing-to-sale ratio, price trend direction, and buyer competition — into a single actionable score. High-demand items with rising prices and strong velocity are flagged as top opportunities. Products showing declining interest are marked so you can avoid overcommitting inventory in a softening market. These signals update every six hours, so you are always working with current intelligence rather than stale historical snapshots.