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eBay Product Listing Scraper

Pricing

from $3.99 / 1,000 results

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eBay Product Listing Scraper

eBay Product Listing Scraper

Extract structured product listings from public eBay search, category, and item pages.

Pricing

from $3.99 / 1,000 results

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0.0

(0)

Developer

Coding Frontned

Coding Frontned

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

a day ago

Last modified

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eBay public product listing scraper

This Actor turns public eBay search, category, and item pages into clean product listing records for price monitoring, product research, assortment discovery, resale research, and marketplace analysis. It reads only pages that eBay makes publicly available.

Access boundary

Requests use direct HTTPS only. The Actor does not use a browser, proxy, login, private API, CAPTCHA solving, stealth transport, or access-control bypass. Challenges, blocked responses, redirects outside eBay, and empty pages become minimal diagnostics rather than fabricated listing rows.

Input

startUrls accepts public eBay search, category, or item URLs. query builds a US eBay search URL when no URLs are supplied. maxItems bounds unique records. requestDelayMs and includeDiagnostics control respectful request pacing and diagnostic emission. fixtureFile is intended only for local deterministic validation and must remain inside this Actor.

Dataset output

Normal rows contain listing and public-source fields: item ID, title, product URL, image URL, price, currency, condition, buying format, shipping, returns, seller feedback, ratings, counts, location, badges, description, sourceUrl, sourceDomain, and scrapedAt. Record-type markers, status codes, retry counters, actor identity, and debug fields are never emitted.

When enabled, a diagnostic row has exactly recordType: "diagnostic", diagnosticType, url, error, errorCode, and scrapedAt. Operational counters and final status are stored in OUTPUT_SUMMARY.

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.

Local development

Run the focused regression suite with node --test test/contract.regression.test.js. Run syntax checks with npm run check. Validate Actor schemas with apify validate-schema, and validate emitted local dataset files with node validate-datasets.js.

Example fixture run:

apify run --purge --input {"startUrls":[{"url":"https://www.ebay.com/sch/i.html?_nkw=headphones"}],"maxItems":1,"fixtureFile":"test/fixtures/synthetic-ebay.html"}

Responsible use

Collect only public information you are permitted to use. Follow eBay terms, applicable marketplace rules, copyright and privacy requirements, and reasonable request-rate limits. For high-volume or contractual integrations, use eBay's official APIs and credentials instead of relying on HTML.