# Alibaba Reviews in a List Scraper (`nifty.codes/alibaba-reviews-scraper`) Actor

Extract Alibaba reviews with ratings, buyer countries, product details and photos from product and supplier feedback pages. Powered by Alibaba Scraper.

- **URL**: https://apify.com/nifty.codes/alibaba-reviews-scraper.md
- **Developed by:** [Nifty](https://apify.com/nifty.codes) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 results

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

Extract Alibaba reviews with ratings, buyer countries, product details and photos from product and supplier feedback pages. Powered by Alibaba Scraper.

Alibaba scores a review on three axes rather than one, and translates reviews into the viewing language. Original Review Content holds what the buyer actually wrote.

***

#### Want more from Alibaba?

The full **Alibaba Scraper** browser extension covers every option this site has, with unlimited personal use, real-time scraping with your logged-in sessions, CSV/Excel/JSON export, field customization, and scheduled monitoring.

**[Get the Alibaba Scraper extension](https://nifty.codes/e/alibaba-scraper?utm_source=apify\&utm_medium=actor_readme\&utm_content=alibaba-reviews-scraper)**

***

#### Data Fields

| Field Name | Description | Example |
| --- | --- | --- |
| Review ID | Alibaba's identifier for the review | 7823456190 |
| Product ID | The product it reviews | 1600891234567 |
| Product Name | That product's title | Wireless Bluetooth Earbuds ANC |
| Product Image | The product image shown beside the review | https://sc04.alicdn.com/kf/H1234.jpg |
| Product URL | Direct link to the product | https://www.alibaba.com/product-detail/\_1600891234567.html |
| Product Price | What the product costs, as shown on the review | 12.80 |
| Product Attributes | The variant the buyer ordered, such as colour and size | Color: Black; Plug: EU |
| Review Content | The review text in the viewing language | Good quality, arrived in twelve days |
| Original Review Content | What the buyer wrote, before Alibaba translated it | Buena calidad, llego en doce dias |
| Review Time | When it was left | 2026-06-14 |
| Product Quality Score | The buyer's score for the goods, out of five | 5 |
| Rating Type | Whether Alibaba files it as positive, neutral or negative | positive |
| Supplier Service Score | Their score for dealing with the supplier | 4 |
| Shipping Time Score | Their score for how long delivery took | 5 |
| Like Count | Buyers who marked the review helpful | 18 |
| Rate Count | How many reviews this buyer has left in total | 46 |
| Repeat Count | How many times this buyer has ordered from the supplier | 3 |
| Review Media | Photos and video the buyer attached, as a list | \["https://sc04.alicdn.com/kf/Rev1.jpg"] |
| User Anonymous Name | The buyer as Alibaba shows them, which is masked | j\*\*\*a |
| User Country Code | Their country, as a two-letter code | ES |
| User Country Name | The same country in words | Spain |
| User Country Flag | The flag image Alibaba shows beside them | https://s.alicdn.com/flag/es.png |
| User Buyer Level | The tier Alibaba puts the buyer in, by spend and history | 3 |
| User Buyer Level Image | The badge for that tier | https://s.alicdn.com/level/3.png |
| User Buyer Tags | Any labels on the buyer, such as a repeat-customer flag | Repeat buyer |
| Is User Purchased | Whether Alibaba confirms the buyer bought the item | true |
| Has Rate | Whether the review carries scores as well as text | true |

***

*Alibaba Reviews in a List Scraper*

# Actor input Schema

## `urls` (type: `array`):

URLs to scrape. Must match: alibaba.com

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

Maximum number of items to extract per URL

## `enablePagination` (type: `boolean`):

Load more results beyond the first page.

## `maxPages` (type: `integer`):

Maximum number of pagination actions (pages, scrolls, or loads)

## `includeRaw` (type: `boolean`):

Add the unformatted extraction beside every row.

## Actor input object example

```json
{
  "urls": [
    "https://www.alibaba.com/product-detail/Custom-t-Shirt-Printing-T-shirt_1600822844308.html",
    "https://www.alibaba.com/product-detail/High-Quality-Cotton-Custom-T-Shirt_1601041873227.html",
    "https://www.alibaba.com/product-detail/Blank-Cotton-Street-Wear-Vintage-Tshirt_1600951048309.html"
  ],
  "maxItems": 100,
  "enablePagination": true,
  "maxPages": 1,
  "includeRaw": false
}
```

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("nifty.codes/alibaba-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("nifty.codes/alibaba-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 '{}' |
apify call nifty.codes/alibaba-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,nifty.codes/alibaba-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/ORpkFezFeUIdJmhFg/builds/IgkjuS31ErKhjf95a/openapi.json