Scrape AliExpress product reviews by URL or item id: star rating, buyer feedback translated into 16 languages, buyer photos, country, SKU variant. Date, keyword and star filters, new-review monitoring, free sentiment analysis. For dropshipping product research. No login. API and MCP ready.
2026-10-16 — Keyword Planner and locale documentation
Validated search terminology against Google Ads Keyword Planner and Store shelves. Added localized usage guidance and bounded examples; retained existing English phrases. Clarified locale limitations where measured. Corrected current-versus-scheduled price wording and arithmetic. No runtime, output fields, defaults, or pricing changed.
price change, set 2026-10-12, effective 2026-10-27
review $0.002 → $0.003 per row (rivals on the same shelf charge $0.0067–0.01 per review or a start fee). the actor has paying users, so Apify applies the increase on 2026-10-27 and notified them; until then the old price bills and the listing text below describes the price from that date; nothing else changes — same rows, same free rows, same filters, no start fee, proxy and compute included. Every price mention in the input form, the event text and this README was updated with it.
1.1 — listing and input form reworded, 2026-10-11
No behaviour, output or price changed; the same inputs return the same rows. Light re-check only: the title, description, input order and input descriptions of the 2026-09-20 pass are kept (they hold #1 for "aliexpress reviews").
seoDescription (indexed by the Store search) now carries the synonyms agents type (product reviews API, ratings, buyer feedback, photos, sentiment, monitoring) and the native nouns of AliExpress's biggest non-English markets: opiniones, reseñas, avaliações, отзывы, avis, Bewertungen.
Pricing event text states the per-1,000 price in words, what is never charged, that there is no start fee and that the run stops at the maximum cost per run set when starting it. Price unchanged.
Eight input descriptions trimmed to the 500 characters fetch-actor-details shows, protective sentence first (sinceDate/onlyNewReviews: set maxReviewsPerProduct 0; analyzeReviews/language: keep en_US) and a stated default on every field; names, types, defaults, enums and order unchanged.
README: new section "AliExpress scraper for AI agents: which input answers which request?" (when to use / when not, request → input table, row fields and the status/empty contract).
1.1 — 2026-09-20
Everything a 1.0 run sent and received works exactly as before: every addition below is optional and off by default, and the price is unchanged.
Only new reviews (onlyNewReviews): a monitoring mode for scheduled runs. The first run is the baseline; every later run delivers and bills only reviews it has never delivered before. The memory lives in a named key-value store in your own account (stateStoreName), and each status row reports already_seen.
Only reviews since (sinceDate): a date (2026-06-01) or a look-back window (30 days, 6 months). Applied before billing.
Only reviews mentioning (keywords): keeps reviews that mention any of your words, searched in the original text, the translation and the follow-up. Applied before billing.
Analyze reviews (analyzeReviews), free: sentiment, sentiment_score, topics and rating_text_mismatch on every review, and one free insights row per product — sentiment split, top complaints and praise, ratings by SKU variant, buyer country and month.
Review topics on the free product row (review_topics): the praise and complaint topics AliExpress itself mines from the review texts, each with its sentiment and review count.
Sixteen translation languages: Arabic, Hebrew, Indonesian and Thai join the twelve, with their localised review dates parsed to ISO.
Complete translations: AliExpress translates lazily, and the first request for a page nobody has opened recently could come back with most text_translated values empty. The actor now notices, re-asks that page once and fills them in — never at your cost.
Hide buyer details (hideBuyerDetails): blanks the buyer's name, avatar and gender.
Input compatibility: item ids are accepted in productUrls, URLs in productIds, and startUrls is an alias for productUrls, so the actor drops into Make, n8n, Zapier and other scrapers' output without reshaping.
2026-08-30
Reliability: a run that cannot act on its input — a URL from the wrong site, a name nothing resolves to, an empty target list, a number outside the documented range — now ends cleanly with the reason on the run card instead of as a failed run. Nothing is charged in either case; a blocked or throttled source still fails loudly.
Store listing: moved into the categories buyers actually browse (the old Business category has no Store page).
1.0 — 2026-08-29
First release.
Every AliExpress buyer review of a product as structured rows: the 1-5 star rating and the 0-100 score behind it, the buyer's own text and AliExpress's machine translation of it into any of twelve languages, the buyer's name, country and gender, the exact SKU variant the review is about, the buyer's photos, the shipping method the order used, helpful and unhelpful votes, the structured attributes AliExpress asked the buyer to rate, and the follow-up review they came back and added weeks later.
Products by AliExpress URL (aliexpress.com, aliexpress.us, aliexpress.ru, the /i/<id>.html short form, share links with tracking parameters) or by bare item id. All three AliExpress id namespaces (1005…, 3256…, legacy 2255…/4000…) resolve to the same reviews, and every URL form carries the id, so resolution costs no request.
Filters that run before billing: the three AliExpress applies itself (with_photos, with_follow_up, same_country, so the pages you do not want are never fetched) plus minRating, maxRating, requireText and countries in the actor.
Five delivery orders — as AliExpress serves them, newest, oldest, lowest rated, highest rated. AliExpress ignores every server-side sort parameter its own endpoint accepts, so the actor orders the reviews it collected rather than pretending the site does.
A free product row per item: title, image, average rating, the full 1-5 star histogram, the positive/neutral/negative split, how many reviews carry photos or a follow-up, AliExpress's product type, and the structured attributes buyers rated it on with the count behind each.
Paging that survives AliExpress's own paging bugs: page 1 answers with 20 rows however large a pageSize you ask for, later pages are a plain offset = (page - 1) * pageSize up to 500, and some offsets short-change you. The walk only ever asks for a page size that divides the offset and advances by the rows it actually got, which both closes the silent 80-review hole a naive pageSize=100 walk leaves and reads a 2,836-review product in about 15 requests instead of 142.
Reads AliExpress's own public feedback API over Apify's datacenter proxy — no key, no login, no cookies, no browser. An empty answer is never believed on its own: it is re-asked on a fresh session and then settled against the product page, so a product with no reviews is reported as no_reviews, an item id AliExpress does not have as not_found, and a refusal as an error.
Pay per review row; product rows, status rows, duplicate targets, unknown item ids and filtered reviews are free.
