# Aliexpress Product Reviews Export

**Use case:** 

Export customer reviews from AliExpress product pages. Add one or more AliExpress product URLs and get one record per review: review ID, rating, review date, translated and original text, reviewer name, country, purchased SKU, shipping method, helpful votes and photos. Use it for product research and sentiment analysis. Download JSON, CSV or Excel, or schedule it. No coding needed.

## Input

```json
{
  "urls": [
    "https://www.aliexpress.com/item/1005001388303149.html?spm=a2g0o.productlist.main.3.2ed2ygkaygka79&algo_pvid=efb8b918-1496-434c-a458-79f7aa712448&algo_exp_id=efb8b918-1496-434c-a458-79f7aa712448-2&pdp_ext_f=%7B%22order%22%3A%2273%22%2C%22eval%22%3A%221%22%7D&pdp_npi=4%40dis%21NPR%212886.02%212452.71%21%21%2121.18%2118.00%21%402141122217467908935054297efec9%2112000015899372756%21sea%21NP%210%21ABX&curPageLogUid=kaIKTCkLDZ1b&utparam-url=scene%3Asearch%7Cquery_from%3A"
  ],
  "itemLimit": 2,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

## Output

```json
{
  "review_id": {
    "label": "Review ID",
    "format": "string"
  },
  "reviewer_name": {
    "label": "Reviewer Name",
    "format": "string"
  },
  "original_url": {
    "label": "Product URL",
    "format": "string"
  },
  "rating": {
    "label": "Rating",
    "format": "integer"
  },
  "review_text": {
    "label": "Review Text",
    "format": "string"
  },
  "country": {
    "label": "Country",
    "format": "string"
  },
  "anonymous": {
    "label": "Anonymous",
    "format": "boolean"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Aliexpress Product Reviews Scraper Actor is ready to run with the inputs already set for "Aliexpress Product Reviews Export". [Sign up or log in](https://console.apify.com/create-task-from-example/pepIGuyce9yNWS5J3) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Aliexpress Product Reviews Export" task

The Aliexpress Product Reviews Scraper Actor will start running based on the input automatically. You can also change all the input fields, like list of urls of the aliexpress product pages, item limit, and more, to match your specific use case.

### 3. Receive the "Aliexpress Product Reviews Export" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as review id, reviewer name, product url, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Aliexpress Product Reviews Export" task via API](https://apify.com/getdataforme/aliexpress-product-reviews-scraper.md).

## FAQ

### What data does this task return?

One record per review: review ID, rating, date, review text and original text, reviewer name, country, SKU, shipping method, votes and photo links.

### Which input fields can I change?

Change urls to the AliExpress product pages you want, and itemLimit to cap how many reviews are collected (default 20, 10 in this task).

### Is the review text translated?

Yes. review_text holds the text in English and original_text holds the reviewer's own language when it differs.

### Which formats can I export the results in?

The dataset can be downloaded as JSON, CSV, Excel, HTML, XML or RSS, or read through the Apify API.

### Do I need an AliExpress login or a proxy?

No login is needed. The task uses Apify residential proxy by default, already set in the input.

## About this Actor

This example demonstrates how to use [Aliexpress Product Reviews Scraper](https://apify.com/getdataforme/aliexpress-product-reviews-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/getdataforme/aliexpress-product-reviews-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/getdataforme/aliexpress-product-reviews-scraper.md

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`).