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CompSniper eBay Sold Listings

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CompSniper eBay Sold Listings

CompSniper eBay Sold Listings

Real eBay sold prices for any keyword. Up to 240 completed sales with a clean median and range.

Pricing

Pay per usage

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CompSniper

CompSniper

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12 days ago

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Real eBay sold prices for any keyword. Give it a product name and get back up to 240 recent completed sales, the actual price each item sold for, the sold date, condition, shipping, and seller, plus a clean median and price range.

Unlike a raw scrape, a custom AI model strips accessories, parts, and the wrong models before the numbers are computed, so the median reflects the real item, not noise.

What you get

  • Real completed sales, not active listings or asking prices
  • Up to 240 listings per keyword, across 8 eBay marketplaces (US, UK, DE, FR, IT, ES, CA, AU)
  • A computed median, p25 to p75 range, and average per keyword (saved to the run's key-value store as SUMMARY)
  • AI-cleaned comps: accessories, parts, and wrong models removed (toggle off for the raw feed)
  • Seller username, condition, shipping, and item URL on every row

Input

FieldTypeDescription
keywordsarrayOne or more product keywords. Each returns up to 240 sold listings.
countintegerListings per keyword, 1 to 240 (default 240).
ebaySitestringMarketplace: ebay.com, ebay.co.uk, ebay.de, ebay.fr, ebay.it, ebay.es, ebay.ca, ebay.com.au.
itemConditionstringany, new, or used.
minPrice / maxPriceintegerOptional price bounds.
relevancebooleanAI cleaning on (default) or off for the raw eBay feed.

Example input

{
"keywords": ["iphone 15 pro", "rtx 4090"],
"count": 100,
"ebaySite": "ebay.com",
"relevance": true
}

Output

Each dataset row is one sold listing, tagged with its keyword:

{
"keyword": "iphone 15 pro",
"title": "Apple iPhone 15 Pro 256GB Unlocked",
"soldPrice": "585.00",
"soldCurrency": "USD",
"condition": "Pre-Owned",
"shippingType": "free",
"totalPrice": "585.00",
"endedAt": "2026-08-17",
"sellerUsername": "example_seller",
"url": "https://www.ebay.com/itm/..."
}

The per-keyword price summary (median, range, average, sample size) is stored under the key SUMMARY in the run's key-value store.

How it works

This actor calls the CompSniper API, which handles the eBay fetching, cookie rotation, parsing, and AI relevance cleaning server-side. You get clean, structured sold data without maintaining any scraping infrastructure yourself.

Learn more at compsniper.com.