Study the market
on transactions, not guesses
Asking prices tell you what sellers hope for. Sold prices tell you what the market actually pays. CompSniper hands you up to 240 completed eBay sales per keyword so you can size demand, map price ranges, and back product decisions with evidence instead of estimates.
100 free requests every month. No credit card required.
Estimates cannot answer real questions
Demand curves, price elasticity, and competitive positioning all need real transaction data. Most tools give you an averaged guess, a paywalled dashboard, or a sample too small to trust.
- Asking prices and estimate tools overstate what buyers really pay.
- Dashboard-only tools trap the data where you cannot run your own analysis.
- Tiny samples make averages swing wildly and hide the real distribution.
- Exporting sold data by hand across dozens of queries is slow and inconsistent.
From keyword to data in three steps
Query the segment
Send a keyword for the product or category you are studying, with price and date filters to frame the exact window you care about.
Pull the full sample
Get up to 240 completed sales per request across up to 90 days of history, with eBay's own total-results count for context.
Analyze the distribution
Feed the JSON into a notebook or spreadsheet. Compute medians, percentiles, and price spreads from real transactions.
One request.
Real sold prices back.
Search stanley quencher tumbler 40oz and get up to 240 completed sales, each with 26 data fields: sold price, shipping, condition, sold date, seller rating, and more. No pagination tokens, no XML, no scraping to maintain.
- 26 fields per item
- Everything you need to price accurately, returned as clean JSON on every result.
curl -H "Authorization: Bearer cs_YOUR_KEY_HERE" \
"https://api.compsniper.com/v1/scrape?keyword=stanley+quencher+tumbler+40oz&count=240"Built to make this job faster
Real demand signals
eBay's reported total-results count plus the sold sample lets you gauge how deep and active a market really is.
The full price distribution
240 comps per query is enough to compute medians and percentiles, not just a lone average that hides the spread.
Data you own and can export
Clean JSON drops straight into pandas, a spreadsheet, or your data warehouse. No dashboard lock-in.
Compare across 8 marketplaces
Run the same keyword against US, UK, DE, and more to study regional pricing and demand side by side.
Base your next call on real sales
100 free requests a month, no credit card. Pull a real sold-price sample and start your analysis today.