# AliExpress Reviews Scraper: Product Feedback & Photos Monitor (`tenfoldfleet/aliexpress-reviews-scraper`) Actor

Get the reviews of any AliExpress product by URL or ID, or watch it for new ones on a schedule. Each row: stars, ISO date, review text with translation, buyer country, variant bought, buyer photos, seller reply and helpful votes. $1.50 per 1,000 reviews; products without reviews are free.

- **URL**: https://apify.com/tenfoldfleet/aliexpress-reviews-scraper.md
- **Developed by:** [Tenfold Fleet](https://apify.com/tenfoldfleet) (community)
- **Categories:** E-commerce, Agents, MCP servers
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.50 / 1,000 reviews

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

Not affiliated with AliExpress or Alibaba Group. This Actor reads the public review data that AliExpress shows on every product page.

### What does AliExpress Reviews Scraper do?

**AliExpress Reviews Scraper** turns any **AliExpress product URL or product ID** into a clean table of **customer reviews**: **star rating, review text, translation, ISO date, buyer country, the variant the buyer ordered, buyer photos, seller reply, follow-up review and helpful votes**. Every row also carries the product's **total review count and average rating**, so one export answers both "what do buyers say" and "how is this product rated overall".

It works like an **AliExpress reviews API** without a key, login or browser: plain HTTP requests to the same feedback data the product page loads, 100 reviews per request. That keeps it fast and cheap: **$1.50 per 1,000 reviews**, and products with no reviews or pages that fail are free.

Turn on **Only new reviews** and schedule it, and it becomes a **review monitor**: each run returns only the reviews it has not returned before.

### Why scrape AliExpress reviews?

- 🛒 **Dropshipping and sourcing checks**: read what real buyers say about quality, sizing and shipping before you list a product, and compare suppliers of the same item.
- 📸 **Buyer photos for product research**: collect real customer photos per variant to judge quality beyond the seller's images.
- ⭐ **Rating and sentiment monitoring**: track new 1- and 2-star reviews on your own or a competitor's listing every day.
- 🧠 **AI and NLP datasets**: original text plus a translation into one language, ready for sentiment analysis, topic extraction or LLM summaries.
- 📦 **Variant and logistics insight**: see which colour or size people actually buy (`skuBought`) and which shipping method they used.
- 🤖 **Agents and pipelines**: call it from the Apify API, MCP server, Make, Zapier or n8n and get JSON back.

### What data can it extract?

| Field | Example |
|---|---|
| `productId`, `productUrl` | `1005006894770323`, the product page URL |
| `reviewId` | `60094966534291790` (string, the number is too large for JavaScript) |
| `rating` | `5` (1 to 5 stars) |
| `date`, `dateText` | `2026-01-29`, `29 Jan 2026` |
| `text`, `translatedText`, `originalLanguage` | buyer's own words, the same review in your chosen language, `en` |
| `buyerName`, `buyerCountry`, `anonymous` | `m***f` (masked by AliExpress), `US`, `false` |
| `skuBought` | `Color:0.4cm Black` |
| `logistics` | `AliExpress Standard Shipping` |
| `photos`, `photoCount` | full-size buyer photo URLs |
| `sellerReply`, `sellerReplyTranslated` | the store's answer, when there is one |
| `followUpText`, `followUpTranslatedText`, `followUpDate`, `followUpPhotos` | the buyer's later follow-up review |
| `helpfulVotes`, `isFeatured` | helpful count, AliExpress's featured-review flag |
| `purchasedFromThisSeller` | `false` when AliExpress shows a review from another seller of a similar item |
| `totalReviewsOnProduct`, `averageRating` | `357`, `4.4` |
| `page`, `position`, `filter`, `language`, `scrapedAt` | where and when the review was read |

### How to scrape reviews from AliExpress

1. Click **Try for free**.
2. Paste one or more **AliExpress product URLs** (any country site or mobile link) or bare **product IDs**.
3. Set **Max reviews per product** (0 = all).
4. Optionally pick a **filter** (with photos, with follow-up, or one star rating) and a **translation language**.
5. For monitoring, switch on **Only new reviews** and schedule the run daily or weekly.
6. Click **Start** and download the reviews as **JSON, CSV, Excel or HTML**.

### How much does it cost to scrape AliExpress reviews?

You pay **$1.50 per 1,000 reviews** ($0.0015 per review) plus a $0.00005 run start fee. Proxy is included.

**Free:** products with no reviews, product IDs that do not exist, inputs that are not AliExpress product links, pages that fail after retries, and (with Only new reviews) reviews you already received. Each of those gives an error row or is skipped, never a charge.

Example: 20 products x 200 reviews = 4,000 reviews = $6.00. On the Apify free plan, the $5 monthly credit covers about **3,000 reviews**. Set **Max reviews in total** or a **maximum cost per run**, and the Actor stops as soon as it is reached.

### Input

```json
{
    "products": [
        "1005006894770323",
        "1005010439419248"
    ],
    "maxReviewsPerProduct": 200,
    "filter": "all",
    "language": "en_US",
    "country": "US",
    "onlyNewReviews": false,
    "stateStoreName": "aliexpress-reviews-state",
    "maxItems": 0,
    "proxyConfiguration": { "useApifyProxy": true }
}
```

### Output

```json
{
    "productId": "1005006894770323",
    "productUrl": "https://www.aliexpress.com/item/1005006894770323.html",
    "reviewId": "60094966534291790",
    "rating": 5,
    "date": "2026-01-29",
    "dateText": "29 Jan 2026",
    "text": "I really like how easy it is to step on a set of mats and to notice a difference now.",
    "translatedText": "I really like how easy it is to step on a set of mats and to notice a difference now.",
    "originalLanguage": "en",
    "buyerName": "m***f",
    "buyerCountry": "US",
    "anonymous": false,
    "skuBought": "Color:0.4cm Black",
    "logistics": "Aliexpress Selection Standard",
    "helpfulVotes": 0,
    "photos": [],
    "photoCount": 0,
    "sellerReply": null,
    "sellerReplyTranslated": null,
    "followUpText": null,
    "followUpTranslatedText": null,
    "followUpDate": null,
    "followUpPhotos": [],
    "isFeatured": false,
    "purchasedFromThisSeller": true,
    "totalReviewsOnProduct": 357,
    "averageRating": 4.4,
    "page": 1,
    "position": 1,
    "filter": "all",
    "language": "en_US",
    "scrapedAt": "2026-11-01T11:59:37.683Z"
}
```

You can download the dataset as JSON, CSV, Excel, XML or HTML. Free rows look like `{ "input": "...", "error": "... Not charged." }`.

### Tips

- **Dates are ISO.** AliExpress prints dates like `24 May 2026` (or `29 janv. 2026` in French); the Actor converts them to `2026-05-24` in every supported language and keeps the original in `dateText`.
- **Cheap monitoring checks.** Once a check has read a product's whole review list, the next run compares the review count first: if it has not grown, the Actor reads one page and moves on, and if it has grown by 3, it stops after finding those 3.
- **Monitoring several jobs?** Give each scheduled task its own **Monitoring state store** name, so one job's seen reviews do not hide reviews from another.
- **Order.** AliExpress returns reviews in its default "recommended" order; the endpoint has no newest-first sort, so Only new reviews checks every page up to your limit. Use `date` to sort the export.
- **Shopper country** only moves reviews from that country to the top; it never removes others.
- **Similar-item reviews.** For some products AliExpress mixes in reviews from other sellers of the same item; those rows have `purchasedFromThisSeller: false`.
- **Need product data too?** Find products by keyword with our [AliExpress Keyword Scraper](https://apify.com/tenfoldfleet/aliexpress-search-scraper), then feed the product IDs into this Actor.

### Use it with AI agents (MCP)

Add `https://mcp.apify.com?tools=tenfoldfleet/aliexpress-reviews-scraper` to Claude, ChatGPT, Cursor or any MCP client as a remote MCP server and sign in with your Apify account. The agent fills in the input, runs the Actor and reads the reviews itself, at the same per-review price.

### FAQ

#### Do I need an AliExpress account, cookies or an API key?

No. The Actor reads only the public review data that AliExpress shows to every visitor.

#### How many reviews can I get per product?

AliExpress serves at most 5,000 reviews per product for one filter. For bigger products the Actor then continues star rating by star rating, which reaches far more (12,952 of a 15,884-review product in our test). Below 5,000, you get every review. Each request returns 100 reviews and takes about 3 seconds, so 5,000 reviews take about 3 minutes and a 15,000-review product 15 to 20 minutes; up to 3 products run in parallel.

#### Which product links work?

`aliexpress.com`, `aliexpress.us`, `aliexpress.ru` and country subdomains, mobile `m.` links, `/item/` and `/i/` URLs and bare product IDs.

#### Can I get only negative reviews?

Yes. Set **Filter** to `1 star` or `2 stars` (one rating per run; add the product twice in two tasks for both).

#### Why are buyer names like `m***f`?

AliExpress masks buyer names itself. Anonymous buyers show as `AliExpress Shopper` with `anonymous: true`.

#### What happens when a page fails?

Every request is retried several times on new IP addresses (with a residential IP as the last resort), with backoff on rate limits. If a page still fails you get a free error row and the reviews collected so far stay in the dataset. If 6 pages in a row fail, the run stops and each product it did not reach gets a free error row, so you can rerun just those later.

#### Support

Found a product that does not work? Open an issue in the **Issues** tab.

This Actor collects only publicly visible product reviews. Buyer names are masked by AliExpress; do not use the data to identify individual buyers. AliExpress is a trademark of its owner.

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# Actor input Schema

## `products` (type: `array`):

AliExpress product pages (https://www.aliexpress.com/item/1005006894770323.html, .us, .ru, m. and country subdomains) or bare product IDs (1005006894770323), one per line.

## `maxReviewsPerProduct` (type: `integer`):

How many reviews to save for each product, in AliExpress's default order. 0 = all reviews. Each saved review is one charged result ($0.0015). On the Apify free plan, the $5 monthly credit covers about 3,000 reviews.

## `filter` (type: `string`):

Only reviews with photos, only reviews with a follow-up, or only one star rating. AliExpress applies one filter at a time.

## `language` (type: `string`):

Language of translatedText and sellerReplyTranslated. The original text is always in text.

## `country` (type: `string`):

Two-letter country code (US, GB, DE, BR...). AliExpress lists reviews from buyers in this country first. It does not filter out other countries.

## `onlyNewReviews` (type: `boolean`):

Save only reviews this Actor has not returned before for the same product, so a scheduled run returns just what is new. Seen review IDs are kept in the named key-value store below; already-seen reviews are free. After a check that read every review, the next run reads only page 1 when the review count has not grown.

## `stateStoreName` (type: `string`):

Name of the key-value store that remembers seen review IDs when 'Only new reviews' is on. Use a different name per monitoring job to keep them separate.

## `maxItems` (type: `integer`):

Optional cap on reviews for the whole run, across all products. 0 = no cap.

## `proxyConfiguration` (type: `object`):

Apify Proxy is included in the price. The default works for most runs.

## Actor input object example

```json
{
  "products": [
    "https://www.aliexpress.com/item/1005006894770323.html"
  ],
  "maxReviewsPerProduct": 100,
  "filter": "all",
  "language": "en_US",
  "country": "US",
  "onlyNewReviews": false,
  "stateStoreName": "aliexpress-reviews-state",
  "maxItems": 0,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "products": [
        "https://www.aliexpress.com/item/1005006894770323.html"
    ],
    "maxReviewsPerProduct": 100,
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("tenfoldfleet/aliexpress-reviews-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "products": ["https://www.aliexpress.com/item/1005006894770323.html"],
    "maxReviewsPerProduct": 100,
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("tenfoldfleet/aliexpress-reviews-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "products": [
    "https://www.aliexpress.com/item/1005006894770323.html"
  ],
  "maxReviewsPerProduct": 100,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call tenfoldfleet/aliexpress-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,tenfoldfleet/aliexpress-reviews-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/bu3TDIbGtp3xsmE7x/builds/LNLyfVYsV2W3XhrI7/openapi.json