eBay sold data intelligence

eBay sold listings data — 2.4M+ items tracked in real time

The most comprehensive eBay sold listings database built for resellers. Track completed sales across 40+ brands in real time — actual sold prices, sell-through velocity, demand trends and competitive market signals. Source smarter and price with confidence.

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2,400,000+
Sold listings
40+
Brands tracked
6h
Update cycle
12mo
Historical data
How it works

Real eBay sales data,
in three steps.

From raw completed listings to a confident sourcing decision — every step grounded in what buyers actually paid.

Search any brand or item

Look up any product across 40+ tracked brands. Every completed eBay sale is captured, categorized and searchable in seconds.

See the real market

Read actual sold prices, sell-through velocity and demand trends — broken down by condition, size and date range. No estimates.

Source with confidence

Combine price with velocity and demand scoring to spot the highest-margin, fastest-moving opportunities before the market catches on.

Complete brand coverage

Brands we track

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 category in seconds.

Nike
420K+ items
Jordan
380K+ items
Adidas
210K+ items
New Balance
95K+ items
Dior
68K+ items
Moncler
54K+ items
Gucci
87K+ items
Louis Vuitton
112K+ items
Stone Island
76K+ items
The North Face
145K+ items
Supreme
130K+ items
Stussy
48K+ items
Ralph Lauren
160K+ items
Burberry
92K+ items
Balenciaga
61K+ items
Prada
73K+ items
Accurate pricing

Real eBay sold prices — not estimates

Every listing in our eBay sold data platform shows the actual transaction price — the exact amount the buyer paid when the sale completed. No estimates, no averages, no algorithmic projections. Just real numbers from real sales.

  • Filter by item condition, size, color and date range
  • Drill into the exact market segment you care about
  • Ground-truth pricing to maximize margin on every listing
Recent sold listings
JD
Jordan 4 Retro "Bred Reimagined"
Mar 18, 2026 · New with Box · US 10
Sold
$242.00
NK
Nike Dunk Low "Panda" GS
Mar 17, 2026 · Pre-owned · GS 6Y
Sold
$89.50
AD
Adidas Samba OG White Black
Mar 16, 2026 · New with Box · US 9.5
Sold
$96.00
Demand signals

Track how fast items sell on eBay

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, week and month — so you instantly see whether demand is trending up, holding steady or declining.

  • Velocity broken down by brand, category and product
  • Identify hot items before the rest of the market
  • Combine price + velocity into true demand scores
Sales velocity — Jordan 4 (last 30 days)
Avg velocity: 14.2/day ▲ +23% vs last month
Peak day: Mar 15 Units sold: 28
Market intelligence

eBay market research made simple

REPDASH turns 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 — so you know which categories are growing and where the highest margins are right now.

  • Compare brands side by side at a glance
  • Spot which brands are gaining or losing momentum
  • Search by brand, category, price range or keyword
Brand analytics overview
BrandAvg priceVelocityTrend
Jordan$18714.2/d▲ +23%
Nike$12422.8/d▲ +11%
Moncler$4853.1/d▶ +2%
Supreme$968.4/d▼ -8%
Stone Island$2105.6/d▲ +15%
Built for resellers

Everything you need to read the market.

Beyond price — velocity, demand scoring and live market signals, all in one searchable database.

2.4M+ sold listings

A searchable database of completed eBay sales — exact prices, dates, condition and product details across 40+ brands.

Refreshed every 6 hours

Near-real-time market data. Every refresh pulls the latest completed sales so you spot shifts before your competition.

12 months of history

Analyze price trends, seasonal demand and long-term velocity patterns in chart and table form across every brand.

Filter to the segment

Drill into condition, size, color, price range or keyword to isolate exactly the market you're sourcing for.

Demand scoring

Sold volume, listing-to-sale ratio, price direction and buyer competition aggregated into a single actionable score.

Free sold price checker

Check real eBay sold prices and recent comps for any item — free, no account needed, no guesswork.

Understanding eBay sold data

Why eBay sold listings data matters for resellers

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.

How to use eBay sold data for sourcing decisions

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.

eBay sales data vs. active listings — why sold data wins

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.

Tracking market trends with historical eBay sold data

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.

Beyond price: velocity, demand scoring and market signals

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.

Common questions

Frequently asked questions

REPDASH tracks completed eBay sales across more than 40 popular reselling brands including Nike, Jordan, Adidas, New Balance, Dior, Moncler, Gucci, Louis Vuitton, Stone Island, The North Face, Supreme and many more. For every completed sale, we capture the actual transaction price, the sale date and time, item condition, size and key product details. Our database currently contains over 2.4 million sold listings and grows continuously as new sales complete. All data is organized by brand and category, making it easy to search, filter and analyze the specific market segments you care about.

Unlike Terapeak, REPDASH is built specifically for resellers who operate across branded fashion, sneakers and streetwear. While Terapeak provides broad marketplace-level data, our platform focuses on brand-level analytics with features designed for reselling workflows — including sell-through velocity tracking, demand scoring, trend alerts and brand comparison dashboards. We also offer a cleaner, faster interface that lets you research products in seconds rather than minutes. Our data refreshes every 6 hours, and we provide up to 12 months of historical context so you can identify seasonal patterns and long-term market shifts.

Yes, REPDASH provides up to 12 months of historical eBay sold data for all tracked brands. This allows you to analyze price trends over time, identify seasonal demand patterns, track how specific products appreciate or depreciate, and make more informed sourcing decisions based on long-term market behavior. Historical data is available in chart and table formats, and you can compare multiple products or brands side by side to spot relative market opportunities.

Our eBay sold listings database refreshes every 6 hours, ensuring you always have access to near-real-time market data. This frequent update cycle means you can spot emerging trends, react to sudden price shifts and identify hot products before your competition does. Every refresh pulls the latest completed sales from eBay across all 40+ brands we track, processes the data and makes it searchable within our platform.

REPDASH covers 40+ popular reselling brands spanning sneakers, streetwear, luxury fashion and sportswear. Current brands include Nike, Jordan, Adidas, New Balance, Dior, Moncler, Gucci, Louis Vuitton, Stone Island, The North Face, Supreme, Stussy, Ralph Lauren, Burberry, Balenciaga, Prada and many more. We are continuously expanding our brand coverage based on user demand and market relevance. If there is a brand you want tracked that we do not currently cover, our OG plan subscribers can request custom brand additions.

Access 2.4M+ sold listings today.

Join thousands of resellers making smarter sourcing and pricing decisions with real eBay sold data.

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