Aliexpress Review Scraper

What does it do?

AliExpress Review Scraper extracts product reviews from AliExpress product pages. It collects review text, star ratings, buyer country, purchase details such as color and size, review photos, and dates. AliExpress reviews are particularly valuable because they include buyer country information, allowing for geographic analysis of product satisfaction and regional preferences.

Why use it?

AliExpress reviews provide unique insights not available on other platforms. The country-level data helps businesses understand regional product preferences and quality expectations. Dropshippers can verify product quality through actual customer photos before listing items. Manufacturers can analyze feedback to improve products for specific markets. The purchase info field reveals which product variants are most popular, guiding inventory and sourcing decisions.

How to use

1. Navigate to the AliExpress Review Scraper on Apify.
2. Add one or more AliExpress product URLs to the input.
3. Set the maximum number of reviews to collect.
4. Click Start and wait for the results.
5. Download data from the Dataset tab in JSON, CSV, or Excel.

Use the Apify API to automate review collection for product monitoring.

Input configuration

Field	Type	Description
productUrls	Array of strings	AliExpress product URLs to scrape reviews from
maxReviews	Integer	Maximum reviews per product (default: 500)

Output data

Each review in the dataset contains:

{
  "reviewText": "Excellent product, fast shipping, well packaged.",
  "rating": 5,
  "country": "United States",
  "purchaseInfo": "Color: Black, Size: L",
  "date": "2025-01-15",
  "photos": ["https://ae01.alicdn.com/kf/review_photo.jpg"],
  "productUrl": "https://www.aliexpress.com/item/123.html",
  "scrapedAt": "2025-01-20T10:30:00.000Z"
}

Cost of usage

The actor runs with Puppeteer using approximately 1 GB of memory. Scraping 500 reviews from one product typically takes 2-4 minutes. With pay-per-event pricing at $0.30 per 1,000 results, scraping 500 reviews costs about $0.15. Platform memory costs are approximately $0.40 per GB-hour.

Tips

• AliExpress product URLs contain an item ID (e.g., /item/1005006414543498.html) which is essential for the scraper to work correctly.
• Filter reviews by country in your exported data to analyze regional satisfaction levels.
• Products with photos in reviews tend to have more authentic and detailed feedback.
• Use purchase info data to identify which color and size variants are most popular.
• Schedule weekly runs to track new reviews and evolving customer sentiment.
• Combine with the AliExpress Product Scraper for complete product intelligence.

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Built with Crawlee and Apify SDK. See more scrapers by consummate_mandala on Apify Store.