AliExpress Reviews Scraper

Extract public AliExpress product reviews from product URLs or product IDs. Get one clean dataset row per review with ratings, text, buyer country, masked buyer name, variant details, images, helpful votes, seller replies when available, and product-level review stats.

Use this Actor for product research, dropshipping due diligence, competitor monitoring, quality tracking, sentiment analysis, and recurring review exports.

Who is it for?

• Ecommerce sellers checking buyer complaints, variant quality, and product-market fit.
• Dropshippers and product researchers comparing competitor products before sourcing.
• Review intelligence teams building recurring dashboards from public AliExpress feedback.
• Analysts and developers exporting structured review data to CSV, JSON, APIs, BI tools, or AI workflows.

Input recipes

• Small smoke test: keep the default product URL and maxReviewsPerProduct: 20.
• Bulk product monitoring: add many productUrls and schedule the Actor weekly.
• Photo review audit: enable includeMedia to export only reviews with customer images.
• Newest feedback first: set sort to recent to inspect the latest buyer issues.

Example input

{
  "productUrls": [
    "https://www.aliexpress.com/item/1005001388303149.html"
  ],
  "maxReviewsPerProduct": 20,
  "sort": "default",
  "countries": ["US"],
  "includeMedia": false,
  "proxyConfiguration": { "useApifyProxy": false }
}

You can also use product IDs directly:

{
  "productIds": ["1005001388303149"],
  "maxReviewsPerProduct": 50,
  "sort": "recent"
}

Example output

{
  "productId": "1005001388303149",
  "productUrl": "https://www.aliexpress.com/item/1005001388303149.html",
  "reviewId": "50208122799602247",
  "rating": 5,
  "buyerEval": 100,
  "reviewText": "The child really liked it! It arrived faster than expected, everything works, and it's not very noisy. I recommend it 👍",
  "originalReviewText": "очень понравился ребенку! пришел быстрее, чем ожидали, все работает, не очень шумный. рекомендую👍",
  "translatedReviewText": "The child really liked it! It arrived faster than expected, everything works, and it's not very noisy. I recommend it 👍",
  "reviewDate": "27 Feb 2026",
  "buyerCountry": "RU",
  "buyerNameMasked": "Б***а",
  "anonymous": false,
  "variant": "Color:With 2pcs Battery",
  "mediaUrls": ["https://ae-pic-a1.aliexpress-media.com/kf/example.jpg"],
  "thumbnailUrls": ["https://ae-pic-a1.aliexpress-media.com/kf/example.jpg_220x220.jpg"],
  "helpfulCount": 0,
  "notHelpfulCount": 0,
  "sellerReply": null,
  "additionalFeedback": null,
  "reviewType": "REVIEW",
  "selectedReview": true,
  "samePurchaseSuggestion": "Buy the same",
  "sourceLanguage": "en",
  "translated": true,
  "totalReviews": 33,
  "averageRating": 4.6,
  "positiveRate": 81.8,
  "scrapedAt": "2026-07-09T18:07:01.014Z"
}

What data can you extract?

Field	Description
productId	AliExpress product ID.
productUrl	Canonical product page URL.
reviewId	Unique review identifier.
rating	Normalized star rating from 1 to 5.
buyerEval	Raw AliExpress rating score, usually 0 to 100.
reviewText	Best available review text for analysis.
originalReviewText	Original buyer feedback when available.
translatedReviewText	Translated feedback when AliExpress exposes it.
reviewDate	Review date text returned by AliExpress.
buyerCountry	Buyer country code.
buyerNameMasked	Public masked buyer display name.
anonymous	Whether AliExpress marks the review as anonymous.
variant	Purchased variant/SKU text.
mediaUrls	Customer image URLs.
thumbnailUrls	Customer image thumbnail URLs.
helpfulCount / notHelpfulCount	Vote counts exposed for the review.
sellerReply	Seller reply text when publicly available.
additionalFeedback	Additional buyer feedback when available.
reviewType	AliExpress review type label.
selectedReview	Whether the review is highlighted by AliExpress.
samePurchaseSuggestion	Repurchase signal text when available.
sourceLanguage	Source language code when available.
translated	Whether the saved text appears to use a translated version.
totalReviews, averageRating, positiveRate	Product review summary stats when available.
scrapedAt	Timestamp when the row was saved.

Input configuration

Setting	JSON key	Use it for	Example
Product URLs	productUrls	AliExpress product pages to process.	["https://www.aliexpress.com/item/1005001388303149.html"]
Product IDs	productIds	Numeric IDs if you already have them.	["1005001388303149"]
Max reviews per product	maxReviewsPerProduct	Limit output volume and spend per product.	20
Sort order	sort	Default relevance or newest-first review order.	"recent"
Country/language endpoints	countries	Country parameters to request from AliExpress.	["US"]
Only reviews with media	includeMedia	Keep only reviews with customer images.	true
Proxy configuration	proxyConfiguration	Optional Apify Proxy settings.	{ "useApifyProxy": false }

Pricing

Event	Price	Charged when
Run start	$0.005 per run	Once when the Actor starts.
Review extracted	$0.0001 per saved review on Bronze, with automatic volume discounts on higher tiers	Each review saved to the dataset.

Review extraction tier labels and prices: Free $0.000115, Bronze $0.0001, Silver $0.000078, Gold $0.00006, Platinum $0.00004, Diamond $0.000028.

Tips for best results

• Start with maxReviewsPerProduct: 20 until you confirm the product has the reviews you need.
• Use productIds for automated workflows when your system already stores AliExpress IDs.
• Use includeMedia: true for photo review analysis, but expect fewer results.
• Split very large product lists into scheduled batches so each run is easy to retry and inspect.

API usage

Node.js:

import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor("fetch_cat/aliexpress-reviews-scraper").call({
  productUrls: ["https://www.aliexpress.com/item/1005001388303149.html"],
  maxReviewsPerProduct: 20
});
console.log(run.defaultDatasetId);

Python:

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("fetch_cat/aliexpress-reviews-scraper").call(run_input={
    "productIds": ["1005001388303149"],
    "maxReviewsPerProduct": 20,
})
print(run["defaultDatasetId"])

cURL:

curl -X POST "https://api.apify.com/v2/acts/fetch_cat~aliexpress-reviews-scraper/runs?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"productIds":["1005001388303149"],"maxReviewsPerProduct":20}'

MCP and AI agents

Use this Actor from MCP-compatible tools through the official Apify MCP Server.

$claude mcp add --transport http apify "https://mcp.apify.com?tools=fetch_cat/aliexpress-reviews-scraper"

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=fetch_cat/aliexpress-reviews-scraper"
    }
  }
}

Example prompt: "Run AliExpress Reviews Scraper for these product URLs and summarize the most common complaints by variant."

Limits and caveats

• The Actor extracts public review data only. It does not log in, use buyer accounts, or access private buyer information.
• AliExpress may return translated text, original text, or both depending on the product and review.
• Some products return few or no reviews, or expose fewer optional fields.
• Very large recurring jobs may need proxy configuration if AliExpress throttles requests.

Legality and responsible use

This Actor is designed for public AliExpress review pages and ordinary ecommerce research workflows. Use it only for lawful purposes, respect AliExpress terms and applicable privacy rules, and avoid collecting or combining data in ways that identify private individuals.

Related actors

• AliExpress Products Scraper
• Google Maps Reviews Scraper

FAQ

Can I export reviews to CSV or Excel?

Yes. Apify datasets support JSON, CSV, Excel, XML, RSS, HTML table, and API access.

Does this scrape private buyer information?

No. It saves only public review fields that AliExpress exposes to ordinary visitors, such as masked buyer names and country codes.

Why are some reviews missing images or seller replies?

Those fields are optional on AliExpress. The Actor leaves unavailable fields empty instead of guessing.

Support

Open an issue from the Actor page if a run fails or output looks wrong. Include the run ID or run URL, input JSON, expected output, actual output, and one reproducible public URL.

Changelog

0.1

• Initial version for extracting public AliExpress product reviews from product URLs and product IDs.