Dienstleistungen
Kontaktieren

Best AliExpress Scrapers: Decodo, Nimble & Zyte

Nazlı Şipi
Nazlı Şipi
aktualisiert am 11. Aug. 2026

We benchmarked 4 web scraping providers on aliexpress.com and sent a total of 200 requests at concurrency 5. The results were filtered from e-commerce scraping benchmark, which ran across 100 domains at three concurrency levels (5, 100, and 5000).

AliExpress scraping benchmark

Read AliExpress scraping benchmark methodology for more details about our testing process.

AliExpress scrapers & benchmark results

Decodo reached 78 % success on AliExpress with an average completion time of about 8 seconds, the fastest of the four providers.

Decodo ran entirely through Site Unblocker (mode unblocker), which returned raw rendered HTML that we parsed on our side.

Search pages cleared 92 % , while product pages held at 64 % .

Zyte reached 84 % success on AliExpress at 25 seconds per request on average.

Product pages ran at 100 % success and 19 seconds using product extraction on the Zyte API, while productList extraction on the same endpoint dropped to 68 % at 34 seconds on search.

Both modes ran with browserHtml: true and Zyte’s KI parser filling in the schema. The gap between the two page types came from search results being harder to parse cleanly, not from a different network path.

Nimble reached 100 % success on AliExpress across both product and search pages, with an average completion time of 13 seconds.

Every request went through the Nimble Web API (api.webit.live/api/v1/realtime/web) using the same payload shape: render enabled, parsing on, JSON output. Only the target URL changed between calls.

Product and search performed identically, so there was no gap between the two page types in either success rate or latency.

Apify reached 74 % success on AliExpress with about 50 seconds per request on average, the highest latency of the four.

URLs went through the E-commerce Scraping Tool actor, called synchronously through run-sync-get-dataset-items. Product URLs were passed in detailsUrls, search URLs in listingUrls, with scrapeMode: AUTO and countryCode:us.

Product pages ran at 80 % and about 46 seconds, and search pages at 68 % and about 54 seconds. Both page types worked, but the actor path was noticeably slower than the direct-API providers.

What you can extract from AliExpress

We parsed all AliExpress fields from HTML. Both the unblocker and the scraper API providers returned HTML for AliExpress, so the parsing step was the same regardless of the product used. We defined and validated the fields we needed for scoring, but any of the fields listed below can be extracted from the same HTML.

Product pages

  • Identifiers: product title, product ID, SKU, canonical URL
  • Pricing: current price, original price, discount percentage, currency
  • Availability: stock status, sold count, shipping options, estimated delivery date
  • Seller: store name, store rating, store URL
  • Media: main image, gallery images, product videos
  • Product details: description, specifications, variant options (color, size, model)
  • Reviews: rating, review count, rating breakdown, top reviews, review photos

Search and category pages

  • Per result card: title, product ID, listing URL, thumbnail, price, currency
  • Signals: star rating, review count, sold count, store name
  • Badges: promotion, coupon, sponsored versus organic
  • Page-level: pagination, applied filters, total result count
Lassen Sie unser Team einen Ihrer Geschäftsprozesse kostenlos mit KI-Agenten automatisieren.
Einen Prozess automatisieren

AliExpress scrapers kostenlos trial options

AliExpress benchmark methodology

We filtered aliexpress.com out of our broader benchmark that ran 100 e-commerce domains at three concurrency levels (5, 100, 5000). The charts on this page use the concurrency 5 slice. 

Each provider was called through its most relevant AliExpress product: Apify’s E-commerce Scraping Tool actor, Decodo’s Site Unblocker, the Nimble Web API, and the Zyte API.

A request counts as successful only when the response body contains the target data. Completion time is the average end-to-end latency over successful requests only; failed attempts are not counted toward the time.

Verpassen Sie nicht unsere Benchmarks und datengestützten Erkenntnisse. Die Schaltfläche öffnet Google; die Auswahl von AIMultiple bestätigt, dass Sie AIMultiple häufiger in den Google-Suchergebnissen sehen möchten.
GoogleAls bevorzugte Quelle hinzufügen

FAQs

Both worked in our benchmark. Every provider returned HTML for AliExpress, whether it came from a scraper API (Apify, Nimble, Zyte) or an unblocker (Decodo). If you are already comfortable maintaining a parser, an unblocker is enough. A scraper API mainly saves work when your team does not want to touch the DOM.

AliExpress search and product pages have different rendering and anti-bot behavior. Some providers use one extraction schema for product listings (product) and another for result grids (productList), and the two schemas can perform very differently on the same site. In our data, Zyte was strong on product but weaker on search, while Decodo showed the opposite pattern.

Ja for most of the interactive fields. Variant prices, shipping estimates, and stock counts update client-side, so a headless browser or JS-rendering scraper produces much cleaner data than plain HTTP requests. Providers that render pages before returning them outperformed non-rendering paths in our runs.

Diese Forschung zitieren

Wählen Sie das Format, das zu Ihrem Veröffentlichungsort passt. Wenn Sie die Link-Version in Ihr CMS einfügen, bleibt der Backlink erhalten.

Nazlı Şipi (2026) - "Best AliExpress Scrapers: Decodo, Nimble & Zyte". Online veröffentlicht auf AIMultiple.com. Abgerufen am 11. August 2026, von: https://aimultiple.com/aliexpress-scraper [Online-Ressource]

Şipi, N. (2026, 11. August). Best AliExpress Scrapers: Decodo, Nimble & Zyte. AIMultiple. https://aimultiple.com/aliexpress-scraper

@misc{sipi2026,
  author = {Şipi, Nazlı},
  title  = {{Best AliExpress Scrapers: Decodo, Nimble & Zyte}},
  year   = {2026},
  month  = aug,
  howpublished    = {\url{https://aimultiple.com/aliexpress-scraper}},
  note   = {AIMultiple. Abgerufen am 11. August 2026}
}
Nazlı Şipi
Nazlı Şipi
KI-Forscherin
Nazlı ist Datenanalystin bei AIMultiple. Sie verfügt über Erfahrung in der Datenanalyse in verschiedenen Branchen, wo sie an der Umwandlung komplexer Datensätze in umsetzbare Erkenntnisse gearbeitet hat.
Vollständiges Profil anzeigen

Seien Sie der Erste, der kommentiert

Ihre E-Mail-Adresse wird nicht veröffentlicht. Alle Felder sind erforderlich. Kommentare werden in ihrer Originalsprache belassen.

0/450