eBay Sold Items Scraper — Sold Prices, Comps & Price Stats

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Get the real prices items sold for on eBay — not asking prices — with built-in price statistics (median, average, p25/p75) so you skip the Excel math. Covers 8 marketplaces, returns 30+ fields per listing, surfaces promoted-listing bid data, and serves 12,000+ sold comps per keyword from structured data — no API key, no browser, no captcha.

What does this actor do?

eBay Sold Items Scraper pulls completed/sold listings straight from eBay — the actual transaction prices, sold dates, conditions, bids, shipping, and seller feedback. Unlike a general eBay scraper (which shows active listings and asking prices), this is built for price research: finding what an item truly sold for before you buy or list.

It goes further than a basic sold-listings scraper in three ways most don't:

• It computes the stats for you. Every run returns priceStats per keyword — count, min, max, average, median, p25, p75 — with best-offer-accepted sales excluded so your comps aren't skewed.
• It sees the ad auction. Optional promoted-listing bid intelligence (advertiser max bid + estimated clearing price/CPC) per keyword.
• It speaks 8 marketplaces. US, UK, Germany, France, Italy, Spain, Canada, Australia — with correct localized currency.

Why use it instead of a generic sold-listings scraper?

👁 What makes this eBay sold scraper different — 12,000+ depth per keyword (bypasses eBay's web cap), promoted-listing bid data + clearing CPC, sponsored and best-offer-accepted flags for clean comps, keyword expansion, auto-discovered category IDs, and a direct-JSON engine that needs no browser or proxy for US — versus a typical eBay sold scraper

Who is it for?

🛍️ Resellers & flippers — research comp sales before buying inventory, validate your asking price against what buyers actually paid, track seasonal trends, build pricing sheets for hundreds of items at once.

📦 E-commerce sellers — set competitive prices on eBay/Amazon/Shopify, analyze competitor sell-through by keyword, decide which condition (new vs used) commands a premium, time restocks.

📊 Market researchers & analysts — collect historical price data for vintage/collectible markets, build datasets for pricing models, compare auction vs Buy-It-Now differentials, export to Excel/Sheets.

🤖 Developers & data teams — power price-comparison tools, build price-shift alerts, feed sold-price data into inventory systems, schedule refreshes via the Apify API or MCP.

What data you get

Per sold listing (30+ fields):

Per keyword (run summary):

• priceStats — count, min, max, avg, median, p25, p75 (best-offer-excluded)
• Auto-discovered categories — [{ id, name }] for the keyword
• Promoted-ad intelligence (when enabled) — advertiser bid, estimated clearingPrice, adSubType

Ready-made dataset views: Overview (image, title, price, condition, sold date, seller), Pricing (price / shipping / total / format / bids / end time), and Seller Intel (seller feedback, location, product rating).

Pricing

Pay-per-result — $2.99 per 1,000 sold listings (volume discounts apply at higher usage tiers). You're charged per listing returned, not by runtime — no charge for empty results.

Real-world cost examples:

Every Apify account includes $5 in free credits — roughly 1,600 sold listings before you spend anything.

How to use

1. Open eBay Sold Items Scraper on Apify Store and click Try for free.
2. Enter one or more keywords in Search keywords (queries).
3. Set Max results per keyword (maxItemsPerQuery) — 10 for a quick test, 200+ for research.
4. Pick a Marketplace and apply optional filters (condition, price range, buying format, sold-within-days).
5. Click Save & Start.
6. Download results as JSON, CSV, or Excel — and read priceStats for instant median/average pricing.

Input example — vintage camera comps (US, used, recent sales):

{
"queries":["canon ae-1 program","minolta x-700"],
"marketplace":"EBAY-US",
"maxItemsPerQuery":200,
"sortOrder":"endedRecently",
"condition":"used",
"minPrice":20,
"maxPrice":500,
"soldWithinDays":30,
"includeAdIntelligence":true
}

Input example — auction-only electronics:

{
"queries":["iphone 15 pro 256gb"],
"marketplace":"EBAY-US",
"maxItemsPerQuery":100,
"sortOrder":"endedRecently",
"buyingFormat":"auction"
}

Input example — multi-market price comparison with keyword expansion:

{
"queries":["lego star wars ucs"],
"marketplace":"EBAY-GB",
"maxItemsPerQuery":200,
"expandKeywords":true,
"expansionLimit":5
}

Output example — typical sold listing:

{
"itemId":"227266797887",
"title":"Canon AE-1 Program 35mm Film Camera w/ 50mm f/1.8 Lens — Tested",
"price":178.5,
"shippingPrice":12,
"totalPrice":190.5,
"currency":"USD",
"condition":"Used",
"soldDate":"2026-06-12",
"listingType":"Buy It Now",
"buyingFormat":"FIXED_PRICE",
"bidCount":null,
"endTime":null,
"sellerName":"camera_warehouse_us",
"sellerFeedbackScore":3712,
"sellerPositivePct":99.5,
"itemLocation":"Portland, OR, USA",
"watchCount":14,
"quantitySold":1,
"epid":"78901234",
"categoryId":"15230",
"marketplace":"EBAY-US",
"isSponsored":false,
"isBestOfferAccepted":false,
"authenticityGuarantee":false,
"url":"https://www.ebay.com/itm/227266797887",
"image":"https://i.ebayimg.com/images/g/.../s-l1600.jpg",
"sourceQuery":"canon ae-1 program"
}

Output example — per-keyword price stats (run summary):

{
"query":"canon ae-1 program",
"priceStats":{
"count":187,
"min":39.99,
"max":320,
"avg":162.4,
"median":155,
"p25":119,
"p75":199
},
"categories":[{"id":"15230","name":"Film Cameras"}]
}

Input parameters

The 8 marketplaces

Search any of US, UK, Germany, France, Italy, Spain, Canada, Australia with the correct localized currency. US runs work proxy-free; for non-US markets, a country-matched residential proxy surfaces ~20% more local inventory.

Built-in price analytics

Stop dumping rows into a spreadsheet to find the going rate. Every keyword returns a priceStats object — count, min, max, average, median, p25, p75 — with Best-Offer-accepted sales excluded so a few lowball deals don't drag your median down. Read the median for a robust "what it really sells for," and p25–p75 for the realistic negotiating band.

Promoted-listing bid intelligence

Turn on includeAdIntelligence to see the Promoted Listings ad auction behind a keyword: the advertiser max bid and estimated clearingPrice (effective CPC). Useful for gauging how competitive a niche is and what sellers are paying to surface there. (Live data — a point-in-time snapshot.)

Tips for best results

• 🎯 Specific keywords ("canon ae-1 program 50mm") return tighter comps than "camera".
• 📅 endedRecently sort gives the freshest sales; pair with soldWithinDays for a clean recent window.
• 💰 Narrow minPrice/maxPrice on high-variance categories (watches, jewelry) for a meaningful median.
• 🧹 Filter out isBestOfferAccepted for the cleanest median.
• 🔄 Run multiple keywords (brand + model + aliases) for a fuller market picture.
• 📊 Read priceStats instead of recomputing — median and p25/p75 are already there.

Integrations

• Google Sheets — push comps per keyword into a sheet; auto-refresh weekly to keep pricing current.
• Make / Zapier — trigger a scenario on run finish: filter by price, push bargains to Slack or email a daily price digest.
• Airtable — build a live pricing database with rollups for average sold price per category.
• Scheduling — daily/weekly runs via Apify's scheduler to track price trends and detect reversals.

API usage

Node.js (apify-client):

import{ ApifyClient }from'apify-client';
const client =newApifyClient({token:'YOUR_APIFY_TOKEN'});
const run =await client.actor('yumitori/ebay-sold-items-scraper').call({
queries:['canon ae-1 program','minolta x-700'],
marketplace:'EBAY-US',
maxItemsPerQuery:200,
sortOrder:'endedRecently',
condition:'used',
});
const{ items }=await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Python (apify-client):

from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("yumitori/ebay-sold-items-scraper").call(run_input={
"queries":["canon ae-1 program","minolta x-700"],
"marketplace":"EBAY-US",
"maxItemsPerQuery":200,
"sortOrder":"endedRecently",
"condition":"used",
})
items = client.dataset(run["defaultDatasetId"]).list_items().items
print(items)

cURL:

curl-X POST \
"https://api.apify.com/v2/acts/yumitori~ebay-sold-items-scraper/runs"\
-H"Content-Type: application/json"\
-H"Authorization: Bearer YOUR_APIFY_TOKEN"\
-d'{ "queries": ["canon ae-1 program"], "marketplace": "EBAY-US", "maxItemsPerQuery": 200 }'

Use with AI agents via MCP

Available as a tool for AI assistants that support the Model Context Protocol.

Claude Code:

$claude mcp add--transport http apify "https://mcp.apify.com?tools=yumitori/ebay-sold-items-scraper"

Claude Desktop, Cursor, or VS Code — add to your MCP config:

{
"mcpServers":{
"apify":{
"type":"http",
"url":"https://mcp.apify.com?tools=yumitori/ebay-sold-items-scraper",
"headers":{"Authorization":"Bearer YOUR_APIFY_TOKEN"}
}
}
}

Example prompts: "What did 'rolex submariner 16610' actually sell for on eBay in the last 30 days — median and p25/p75?" · "Compare sold prices for 'iphone 15 pro 256gb' vs 'iphone 15 pro max 256gb', auctions only."

Is it legal to scrape eBay sold listings?

eBay's completed/sold listing data is publicly visible to any visitor without logging in. This actor accesses only that publicly available data. Use it responsibly: respect eBay's Terms of Service, don't spam buyers or sellers, comply with GDPR/CCPA when storing any personal data, and use the data for legitimate price research. See Apify's guide to ethical web scraping for context.

FAQ

How many results can I get? Up to 12,000+ per keyword. Run multiple keywords in one run for broader coverage.

How is this different from a general eBay scraper? A general scraper shows active listings (asking prices). This returns completed/sold listings (actual transaction prices) — what buyers really paid.

Do I need an API key or login? No. No eBay API key, no login, no captcha.

Why are some auction fields empty? bidCount and endTime only apply to auction-format sales; Buy-It-Now items leave them null.

How do I get the cleanest median? Filter out isBestOfferAccepted items and use soldWithinDays to keep comps recent — or just read the priceStats.median, which already excludes best-offer sales.

Can I research a specific category? Yes — pass a categoryId, or rely on the auto-discovered categories returned per keyword.

Which marketplaces are supported? US, UK, Germany, France, Italy, Spain, Canada, Australia — with localized currency.

⚠️ Unofficial. Not affiliated with, endorsed by, or sponsored by eBay Inc. "eBay" is a trademark of eBay Inc., used here for descriptive purposes only. Collects only publicly available listing data.