eBay Scraping: Top 4 Providers Compared
We benchmarked eBay across 4 web scraping providers, totaling 1,400 requests over search and product pages of 7 eBay country sites, measuring both success rate and end-to-end completion time.
eBay scraping benchmark results
You can read more about our benchmark methodology.
- You can also explore our full e-commerce scraping benchmark covering the top 100 e-commerce domains.
Performance by marketplace
Performance by page type
What data you can scrape from eBay
Because only Bright Data and Apify returned structured JSON, they were the only providers whose output could be compared field by field. For each of them we looked at the data fields that are unique to that provider (shared fields such as brand, title, and description were left out). Bright Data returned 59 data fields per product, while Apify returned 10.
The remaining providers did not return ready-made JSON fields. Their responses came back as rendered HTML, so the data has to be pulled out by parsing the page with CSS selectors rather than reading structured fields directly.
eBay scraping providers
Bright Data was the top performer on eBay in our benchmark, succeeding on 99.1% of requests, the highest success rate of any provider tested, with a median end-to-end completion time of roughly 25 seconds.
Bright Data has four scraper APIs available for eBay:
- eBay, Collect products by URL (ebay.com): targets individual product listing pages and pulls structured product data, including title, price, condition, seller information, buyer feedback and ratings, item specifics, shipping details, and images.
- eBay, Discover by category (ebay.com): collects product records by browsing a given eBay category rather than a single URL.
- eBay, Discover by keywords (ebay.com): gathers product data from eBay search results for specified keywords.
- eBay, Discover by shop URL (ebay.com): collects the full product catalog listed by a given eBay seller/shop.
Ready-made datasets for eBay also live in Bright Data’s Dataset Marketplace:
eBay Products dataset: a pre-built collection of eBay listings with product details, pricing, seller information, and customer feedback. Common use cases are pricing intelligence, competitor monitoring, and market research.
For the benchmark, Bright Data handled eBay’s two page types differently. Product pages were run through Bright Data’s eBay, Collect products by URL scraper API, which returned structured JSON with listing-level fields (title, price, seller, ratings, and item specifics). Search/listing pages were not routed through a dedicated eBay scraper; instead they went through Bright Data’s Web Unlocker, which returned raw rendered HTML that we then parsed ourselves.
Start with 5K free records/month to test Bright Data scraper
Visite o siteOxylabs offers a single Web Scraper API endpoint (realtime.oxylabs.io/v1/queries) that covers eBay through two source types:
Universal source (source: universal): a general-purpose scraper that takes any eBay URL, product or listing, with optional headless rendering (render: html).
eBay Search source (source: ebay_search): a dedicated eBay source for search/listing results, driven by query parameters rather than a full URL.
Try 2,000 requests for free to test Oxylabs scraper
Visite o siteDecodo offers a Site Unblocker for eBay: a proxy endpoint (unblock.decodo.com) that fetches any eBay URL, product or listing, directly through the proxy and returns the page.
JavaScript rendering: the unblocker can execute JavaScript and return the fully rendered page (via an X-Smartproxy-Js-Render flag).
It exposes a single, general-purpose mechanism that works the same way for both product and search pages, without an eBay-specific scraper.
View Decodo's eBay scraper API
Visite o siteZyte was called through a single endpoint, the Zyte API (api.zyte.com/v1/extract), used the same way for every eBay page. Each request passed the target URL plus the extraction type wanted, with browserHtml: true so the page was rendered in a headless browser before extraction.
For the benchmark, Zyte handled eBay’s two page types with two extraction modes on that same API:
- Product pages were requested with
productextraction (extractFrom: browserHtml,ai: true).
- Search/listing pages were requested with
productListextraction (extractFrom: browserHtml,ai: true).
In our benchmark, Zyte succeeded on 95.4% of eBay requests, with a median end-to-end completion time of roughly 17 seconds.
Nimble was called through a single real-time endpoint, the Nimble Web API (api.webit.live/api/v1/realtime/web), used the same way for every eBay page. Each request passed the target URL with render: true (so the page was rendered in a headless browser), parse: true (requesting structured parsing), format: json, a locale, and a country set to match the eBay site being scraped (US, GB, DE, FR, IT, ES, CA).
For the benchmark, both eBay page types were sent the same way. Product pages and search/listing pages used the identical request shape on that endpoint, with only the URL and country differing; Nimble was not given a page-type-specific extraction mode for product versus search.
Nimble succeeded on 14.3% of eBay requests, with a median end-to-end completion time of roughly 92 seconds in eBay scraping benchmark.
Apify succeeded on 93.1% of eBay requests, with a median end-to-end completion time of roughly 61 seconds.
It was called through a single actor, the E-commerce Scraping Tool (apify~e-commerce-scraping-tool), run synchronously via /v2/acts/apify~e-commerce-scraping-tool/run-sync-get-dataset-items. The same actor was used for every eBay page.
The two eBay page types were passed to the actor in different input fields. Product pages were supplied in detailsUrls, and search/listing pages in listingUrls. Each run was configured with scrapeMode: AUTO and included a countryCode, which matched the eBay site for some domains (US, GB, DE, FR) but fell back to us for ebay.ca, ebay.es, and ebay.it.
Adicionar como fonte preferencialeBay Scraping benchmark methodology
URL validation
We confirmed that product pages were live and showed a price, and that listing pages were live and returned several distinct products rather than an empty page or a single product. We removed staging and QA subdomains and mixed locales, and excluded every sampled URL from the delivered set.
Benchmark execution
Each provider fetched the same fresh URLs, with an equal number of product and listing pages drawn from every eBay domain on each run. Where a provider offered a dedicated e-commerce scraper for eBay, we used it; otherwise we used the provider’s web unblocker/universal source scraper. All providers ran from the same server location, so location gave no provider an advantage.
An HTTP status alone did not count as a success. HTTP responses in the 200-399 range, as well as 404, were treated as a valid HTTP response, but a valid status was never sufficient on its own. For every URL we defined the expected data in advance as ground truth: for a structured (JSON) response we checked whether the target field was valid, and for an HTML response we checked whether the defined CSS selector was present. A response counted as a success only when this check passed.
A block page, a captcha, or an empty shell scored zero even with a valid status.
End-to-end response time is reported over successful requests, except in the per-domain breakdown, where it is reported over all requests.
Cite esta pesquisa
Escolha o formato adequado ao local onde você vai publicar. Colar a versão com link no seu CMS preserva o backlink.
@misc{ipi2026,
author = {Şipi, Nazlı},
title = {{eBay Scraping: Top 4 Providers Compared}},
year = {2026},
month = jul,
howpublished = {\url{https://aimultiple.com/ebay-scraping}},
note = {AIMultiple. Acessado em 9 Julho 2026}
}
Seja o primeiro a comentar
Seu endereço de e-mail não será publicado. Todos os campos são obrigatórios. Os comentários são deixados em seu idioma original.