eBay Search Results Scraper - Prices & Sold Data

Turn any eBay search into clean, structured data. Give the Actor keywords (or paste eBay search URLs) and it returns every listing on the results pages - title, price, shipping, condition, seller rating, sold counts, and more - ready for price monitoring, market research, repricing, and dropshipping.

Search results only. The Actor reads each results page in a single request and never opens product, seller, or any secondary pages. That keeps it fast, cheap, and gentle - while still extracting 30+ fields from every listing card.

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Try it in 30 seconds

1. Enter a keyword - e.g. iphone 15 (or paste any eBay search URL).
2. Pick filters (optional) - marketplace, condition, price range, sold & completed.
3. Start - results land in your dataset as JSON, CSV, or Excel.

{ "searchQueries": ["iphone 15"], "maxProductsPerSearch": 20 }

Every listing comes back like this (30+ fields in total):

{
  "title": "Apple iPhone 15 128GB Unlocked",
  "totalPrice": 412.49,
  "condition": "Pre-Owned",
  "soldCountValue": 1200,
  "sellerFeedbackPercentValue": 99.3,
  "positionOnPage": 3,
  "url": "https://www.ebay.com/itm/..."
}

A test run like the one above costs about $0.06 - full pricing below.

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Why this scraper

• 60 listings per request. Uses eBay's 60-per-page layout, so a page of data costs one request.
• Rich, computed fields out of the box. Beyond raw text, you get numeric totalPrice (item + shipping), parsed discountPercent, soldCountValue, seller feedback as numbers, currency codes, price ranges, and rank tracking (pageNumber, positionOnPage) - all derived from the same HTML, no extra requests.
• Native eBay filters. Sort, condition, listing type, price range, free-shipping-only, and seller location are applied as URL parameters - zero extra requests.
• 8 marketplaces. ebay.com, .co.uk, .de, .fr, .it, .es, .com.au, .ca. Currency is detected per listing.
• Sold / completed listings. Set listingStatus: "sold" to analyze real sale prices - no URL crafting needed.
• Built to survive. Residential proxy support, session rotation, automatic retries with backoff, block/captcha detection, and de-duplication across queries and pages.

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Who it's for

• Resellers & repricers monitoring competitor prices and totalPrice.
• Market researchers measuring demand via soldCount and price distributions.
• Dropshippers sourcing products and tracking availability.
• Analysts studying sold/completed listings for real market value.

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How much does it cost to scrape eBay?

Pricing is pay-per-event: a flat $0.001 per run start plus $3.00 per 1,000 results ($0.003 per listing). All platform costs - compute, residential proxies, storage - are included. No subscription, no separate usage bill.

Scrape	Listings	Cost
Test run (1 keyword, 10 products)	10	~$0.03
1 keyword, 2 pages	~120	~$0.36
5 keywords, 3 pages each	~900	~$2.70
Full search (20 pages, eBay's cap)	~1,200	~$3.60

The Actor honors your maximum cost per run: set a cap in the run options and it stops cleanly the moment the cap is reached - you are never charged past it.

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Input

Configure from the Apify Console UI or via the API. All fields are optional except that you must provide searchQueries or startUrls.

Field	Type	Default	Description
searchQueries	string[]	-	Keywords; each runs its own search. Required unless startUrls is provided.
startUrls	array	[]	Direct eBay search URLs (category pages, sold listings, etc.). Your parameters are preserved; the Actor forces 60/page and paginates.
marketplace	enum	ebay.com	Which eBay domain to search (keyword searches only).
maxProductsPerSearch	integer	100	Cap per query/Start URL. 0 = unlimited.
maxSearchPages	integer	5	Max result pages per search (max 20; eBay caps results around 20 pages).
sort	enum	best_match	best_match, ending_soonest, newly_listed, price_low, price_high.
condition	enum[]	[]	new, open_box, certified_refurbished, seller_refurbished, used, for_parts. Empty = all.
listingType	enum	all	all, auction, buy_it_now, best_offer.
listingStatus	enum	active	active, or sold for sold & completed listings (real sale prices).
minPrice / maxPrice	number	-	Price range in the marketplace currency (decimals allowed, e.g. 19.99).
freeShippingOnly	boolean	false	Only listings with free shipping.
sellerLocation	enum	all	all, domestic_only, worldwide.
deduplicateItems	boolean	true	Skip item IDs already scraped in this run.
proxyConfiguration	proxy	Residential	Proxy settings. Residential strongly recommended.
maxRequestRetries	integer	5	Retries per blocked/failed request (1–10).
debugLog	boolean	false	Verbose logs + dump first page HTML to the key-value store.

Example input

{
  "searchQueries": ["mechanical keyboard", "ergonomic mouse"],
  "marketplace": "ebay.com",
  "maxProductsPerSearch": 120,
  "maxSearchPages": 3,
  "sort": "price_low",
  "condition": ["new", "open_box"],
  "freeShippingOnly": true,
  "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }
}

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Output

Each dataset item is one listing. Baseline fields use the familiar names shared by popular eBay scrapers, so switching takes minutes; enriched fields are computed from the same HTML (no extra requests).

Baseline fields

Field	Type	Notes
type	string	Always "product".
itemId	string	eBay item ID.
title	string	Listing title.
price	number|null	First/lowest numeric price.
priceString	string|null	Raw price text.
listPriceString	string|null	Raw strikethrough/original price.
shippingCost	string|null	Raw shipping text.
returnPolicy	string|null	Raw returns text.
coupon	string|null	Coupon text, if shown.
discountText	string|null	Raw discount text (e.g. "40% off").
condition	string|null	Condition text.
listingType	string|null	"Buy It Now" or "Auction".
bidCount	number|null	Auction bids.
timeLeft	string|null	Auction time-left text.
bestOffer	boolean	Best Offer accepted.
soldCount	string|null	Raw sold text (e.g. "93+").
sellerName	string|null	Seller username.
sellerFeedbackPercent	string|null	Raw (e.g. "99.3%").
sellerFeedbackCount	string|null	Raw (e.g. "153.4K").
isSponsored	boolean	Sponsored placement.
thumbnail	string|null	Thumbnail image URL.
images	string[]	Image URLs available on the card.
url	string	Canonical listing URL (tracking stripped).
scrapedAt	string	ISO timestamp.

Enriched fields (extra value)

Field	Type	Notes
currency	string|null	ISO code inferred from the price / marketplace.
priceMin / priceMax	number|null	For range prices ("$100 to $200").
shippingCostValue	number|null	Numeric shipping ("Free" → 0).
totalPrice	number|null	price + shippingCostValue - the key field for price monitoring.
listPrice	number|null	Numeric original price.
discountPercent	number|null	Parsed from text or computed from list vs. price.
soldCountValue	number|null	"93+" → 93, "1.2K" → 1200.
soldCountIsMinimum	boolean	True when the source used "+".
soldDate	string|null	Sale date on sold/completed listings (e.g. "Sold Jul 11, 2026").
sellerFeedbackPercentValue	number|null	99.3.
sellerFeedbackCountValue	number|null	"153.4K" → 153400.
itemLocation	string|null	Item location text.
subtitle	string|null	Secondary description line.
isFreeShipping	boolean|null	Derived from shipping text.
isFreeReturns	boolean|null	Derived from returns text.
conditionCategory	string|null	Normalized condition bucket across languages: NEW, OPEN_BOX, REFURBISHED, USED, FOR_PARTS, OTHER.
imageLarge	string|null	Higher-resolution image URL (thumbnail bumped to s-l1600).
priceDropText	string|null	Price-drop promo on the card (e.g. "NEW LOW PRICE").
availabilityText	string|null	Low-stock / urgency text ("Last one", "Almost gone", "Letzter Artikel").
badges	string[]	Card badges (Top Rated Plus, eBay Refurbished, …).
watchersText	string|null	"24 watchers" text, when shown.
listedDate	string|null	Listed date text, when shown.
searchQuery	string	Which query/Start URL produced the item.
pageNumber	number	Result page (rank tracking).
positionOnPage	number	1-based rank on that page.
marketplace	string	e.g. ebay.com.

Missing data is never fabricated: absent values are null (or [] / false).

Example output

{
  "type": "product",
  "itemId": "266123456789",
  "title": "Mechanical Keyboard RGB 87-Key Hot-Swappable",
  "price": 39.99,
  "priceString": "$39.99",
  "shippingCost": "Free delivery",
  "condition": "Brand New",
  "listingType": "Buy It Now",
  "soldCount": "1.2K sold",
  "soldCountValue": 1200,
  "sellerName": "keebs_store",
  "sellerFeedbackPercent": "99.3%",
  "sellerFeedbackPercentValue": 99.3,
  "sellerFeedbackCountValue": 153400,
  "currency": "USD",
  "shippingCostValue": 0,
  "totalPrice": 39.99,
  "isFreeShipping": true,
  "badges": ["Top Rated Plus"],
  "url": "https://www.ebay.com/itm/266123456789",
  "searchQuery": "mechanical keyboard",
  "pageNumber": 1,
  "positionOnPage": 3,
  "marketplace": "ebay.com",
  "scrapedAt": "2026-07-10T12:00:00.000Z"
}

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Run via API

Node.js (apify-client):

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const run = await client.actor('valev-lab/ebay-search-scraper').call({
    searchQueries: ['laptop'],
    maxProductsPerSearch: 100,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Python (apify-client):

from apify_client import ApifyClient
client = ApifyClient("YOUR_TOKEN")
run = client.actor("valev-lab/ebay-search-scraper").call(run_input={
    "searchQueries": ["laptop"],
    "maxProductsPerSearch": 100,
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

cURL:

curl -X POST "https://api.apify.com/v2/acts/valev-lab~ebay-search-scraper/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"searchQueries":["laptop"],"maxProductsPerSearch":100}'

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Scheduling & integrations

• Schedule recurring runs from the Console (Schedules) for daily price snapshots.
• Integrations: push results to Google Sheets, Slack, Zapier, Make, or your own webhook/API. The dataset exports to JSON, CSV, Excel, and XML.

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Recipes

Sold / completed listings - analyze real sale prices with the listingStatus filter:

{ "searchQueries": ["iphone 13"], "listingStatus": "sold" }

(Equivalent Start URL also works: https://www.ebay.com/sch/i.html?_nkw=iphone+13&LH_Sold=1&LH_Complete=1.)

Multi-marketplace - run the same keyword across domains by using Start URLs from each domain, or run separate jobs per marketplace. Currency is detected per listing.

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Tips for best results

• Start small. Set maxProductsPerSearch to 10-20 while testing a new query or filter combo, then scale up once the results look right.
• Use specific keywords. "apple airpods pro 2nd generation" returns tighter, more relevant results than "airpods".
• Stack native filters. Combine condition, listingType, minPrice/maxPrice, freeShippingOnly, and sellerLocation - they're all applied as URL parameters, so stacking them costs nothing extra.
• Keep residential proxies on. Datacenter IPs get blocked quickly; the default residential proxy group is what keeps runs reliable.
• Batch queries in one run. List multiple keywords in searchQueries instead of starting a separate run per keyword - cheaper and faster than many small jobs.
• Cap pages to control cost. maxSearchPages × 60 listings is the ceiling per query; lower it if you only need the first page or two of results.

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FAQ

Some prices are null. Auction-only cards, "see price in cart" items, or unusual formats can lack a parseable price. Raw text is still in priceString.

Why ~60 items per page? eBay serves up to 60 listings per results page; the Actor uses that maximum. eBay also caps search results at roughly 20 pages, so a single search yields up to ~1,200 listings.

Duplicates? With deduplicateItems (default on), an item ID scraped earlier in the run is skipped, so overlapping queries/pages don't repeat listings.

Getting blocked / few results? eBay commonly blocks datacenter IPs. Use residential proxies (default) and keep concurrency modest (the Actor already rate-limits itself).

Does it open product pages? No. Every field comes from the search-results HTML - one request per page.

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Legal

This Actor collects only publicly available search-results data. You are responsible for using the output in compliance with eBay's Terms of Service and applicable laws (including data-protection rules). Do not use it to collect personal data unlawfully.