AliExpress Review Scraper

Read AliExpress reviews as a market-wide corpus. From AliExpress review or listing URLs, each record keeps its source context alongside reviewer country, review identifiers, reviewer names, product review total, and date.

The record

The dataset schema names every field before the run. The first working set is productId, url, reviewId, reviewerName, reviewerCountry, date, rating, content, translatedContent, photos, upVotes, and downVotes. Dataset views keep related fields together without changing the underlying row.

Captured row

{
  "productRating": 4.8,
  "reviewerCountry": "KR",
  "productId": "1005012071661126",
  "reviewId": "50219178699116388"
}

Input

AliExpress Review Scraper accepts source URLs. Run controls stay in the same form.

Field	What it controls	Starting value
startUrls	Paste exact AliExpress URLs, one per line.	["https://www.aliexpress.com/item/1005012071661126.html"]
maxItems	Stop after this many dataset rows.	100
maxSeconds	Stop after this many seconds and keep completed rows.	240
includeEmpty	Keep empty-result records in the returned record.	false

Example input

{
  "startUrls": [
    "https://www.aliexpress.com/item/1005012071661126.html"
  ],
  "maxItems": 3,
  "maxSeconds": 180
}

Price

$100 per 1,000 reviews on the Free plan. Other Apify plans use the rates shown in the Pricing tab.

Console, API, schedules, and exports

Runs can begin in Apify Console, from a saved task, or through the Actor API. A schedule can reuse the same input. Completed rows remain in the run dataset for API retrieval and Apify dataset exports.

POST https://api.apify.com/v2/acts/Rzae9Xg6Pv5pwscv4/runs
GET  https://api.apify.com/v2/datasets/{datasetId}/items

Saved tasks

Twenty task pages cover distinct research, comparison, operations, automation, and export jobs. The opening set is:

• AliExpress review thread sample: Review one AliExpress record around productId, url, reviewId, and reviewerName. The saved task uses startUrls, maxItems, and maxSeconds and opens the overview view. Configured in AliExpress Review Scraper.
• AliExpress review response comparison: Compare AliExpress reviews using reviewerCountry, rating, productRating, and productId. The stats view keeps the differences close together. Configured in AliExpress Review Scraper.
• AliExpress review source list: Process a saved AliExpress input queue with startUrls, maxItems, and maxSeconds. Source and identifier fields remain visible in the export view. Configured in AliExpress Review Scraper.
• AliExpress review author index: Index AliExpress reviews by productId, url, reviewId, and reviewerName. The saved input keeps the same matching fields from run to run. Configured in AliExpress Review Scraper.
• AliExpress review response register: Assemble a focused AliExpress register centered on productId, url, reviewId, and reviewerName. The task keeps startUrls, maxItems, and maxSeconds visible for later review. Configured in AliExpress Review Scraper.
• AliExpress review engagement benchmark: Compare numeric and status fields across AliExpress reviews, led by reviewerCountry, rating, productRating, and productId. Results open as the stats table. Configured in AliExpress Review Scraper.

Related products

• AliExpress Rating Scraper
• AliExpress Product Scraper
• AliExpress Search Scraper
• Shopify Rating Scraper
• Amazon Rating Scraper

Support

Include the Actor ID, run ID, saved task name, and affected input when reporting an issue. That is enough to locate the run and its dataset.