AliExpress Reviews Scraper

What does AliExpress Reviews Scraper do?

AliExpress Reviews Scraper collects customer reviews from any AliExpress product page and returns them as a clean, structured dataset. Paste one product URL, choose how many reviews you need, and the Actor returns star ratings, review text, translated text, review dates, reviewer country, product variant, review images, and helpfulness signals for every review.

The Actor is built for product research, sentiment analysis, competitor monitoring, and dropshipping validation. You do not need any coding skills to use it. Run it from Apify Console, download the results as JSON or CSV, or connect the dataset to your own tools through the Apify API.

Why use AliExpress Reviews Scraper?

• Structured review dataset - Replace manual copy-paste with consistent records that include ratings, text, dates, and images.
• Translated review text - Get the best available text for analysis, plus the original text and translation metadata when AliExpress provides it.
• Photo review support - Filter for reviews with customer images to verify real product quality.
• Flexible collection - Choose the review count, sort order, and filter type before each run.
• Automation ready - Schedule daily or weekly runs, send results through webhooks, and export to the formats your workflow uses.
• Built for ecommerce workflows - Support dropshipping research, competitor tracking, quality assurance, and AI training datasets.

What data can you extract from AliExpress reviews?

Each saved review includes the main review fields plus buyer, shipping, and product variant context:

Field	Description
rating	Star rating from 1 to 5
review_text	Best available review text for analysis
original_review_text	Original review text before translation when available
review_date	Date the review was posted
reviewer_name	Buyer display name
country	Reviewer country when available
sku_info	Product variant purchased, such as color and size
images	Full-size URLs of uploaded review images
helpful_count	Helpful votes received on the review
review_labels	Structured labels such as fit, quality, and value

How to use AliExpress Reviews Scraper

1. Open the Actor on Apify Store.
2. Paste an AliExpress product URL into the product_url field.
3. Set the number of reviews you want with results_wanted.
4. Optionally choose a review filter and sort order.
5. Run the Actor and wait for the dataset.
6. Download the results or connect them to your workflow.

Input Parameters

Parameter	Type	Required	Default	Description
product_url	String	Yes	-	AliExpress product page URL to scrape reviews from
results_wanted	Integer	No	20	Maximum number of reviews to collect
filter	String	No	all	Review filter: all, withPictures, additionalFeedback
sort	String	No	default	Sort order: default, newest, rating_desc
proxyConfiguration	Object	No	Apify Proxy disabled	Proxy settings for more reliable runs

Output Data

Field	Type	Description
review_id	String	Unique review identifier
product_id	String	AliExpress product ID
product_url	String	Canonical source product URL
reviewer_name	String	Buyer display name
anonymous	Boolean	Whether the buyer posted anonymously
rating	Number	Star rating from 1 to 5
review_text	String	Best available review text for analysis
original_review_text	String	Original review text before translation when available
review_date	String	Date the review was posted
sku_id	Number	Product variant identifier
sku_info	String	Product variant purchased
images	Array	Full-size URLs of uploaded review images
thumbnail_images	Array	Thumbnail review image URLs
image_count	Number	Number of review images
helpful_count	Number	Helpful votes received
not_helpful_count	Number	Downvotes received on the review
country	String	Reviewer country when available
review_type	String	Review classification, such as standard or additional review
shipping_method	String	Delivery method attached to the order
same_purchase_suggestion	String	AliExpress repurchase suggestion shown with the review
source_language	String	Source language of the submitted review
translation_source	String	Translation source indicator from AliExpress
translated	Boolean	Whether the output text is translated
ai_generated	Boolean	Whether AliExpress marked the review with an AI flag
selected_review	Boolean	Whether AliExpress highlighted the review
review_labels	Object	Structured review labels such as fit, quality, and value

Usage Examples

Basic review collection

Collect the default set of reviews from one product:

{
  "product_url": "https://www.aliexpress.com/item/1005006853596517.html",
  "results_wanted": 50,
  "filter": "all",
  "sort": "default"
}

Reviews with customer photos

Gather only the reviews that include customer images:

{
  "product_url": "https://www.aliexpress.com/item/1005006853596517.html",
  "filter": "withPictures",
  "results_wanted": 30,
  "sort": "default"
}

Newest reviews first

Collect the most recent feedback for monitoring:

{
  "product_url": "https://www.aliexpress.com/item/1005006853596517.html",
  "sort": "newest",
  "results_wanted": 100,
  "filter": "all"
}

Highest rated reviews first

Sort by highest rating to review the best-rated feedback first:

{
  "product_url": "https://www.aliexpress.com/item/1005006853596517.html",
  "sort": "rating_desc",
  "results_wanted": 25,
  "filter": "all"
}

Sample Output

Each dataset item looks like this:

{
  "review_id": "1234567890",
  "product_id": "1005006853596517",
  "product_url": "https://www.aliexpress.com/item/1005006853596517.html",
  "reviewer_name": "J***r",
  "anonymous": false,
  "rating": 5,
  "review_text": "Cute and perfect for summer. The size matched my order and the packaging was very neat.",
  "original_review_text": "CUTE !! I haven't tried it on yet, but it looks great for summer...",
  "review_date": "15 Jan 2026",
  "sku_id": 12000038520634380,
  "sku_info": "Color: Blue | Size: M",
  "images": [
    "https://ae01.alicdn.com/kf/review-image-1.jpg",
    "https://ae01.alicdn.com/kf/review-image-2.jpg"
  ],
  "thumbnail_images": [
    "https://ae01.alicdn.com/kf/review-image-1_220x220.jpg",
    "https://ae01.alicdn.com/kf/review-image-2_220x220.jpg"
  ],
  "image_count": 2,
  "helpful_count": 12,
  "not_helpful_count": 0,
  "country": "United States",
  "review_type": "REVIEW",
  "shipping_method": "AliExpress Selection Standard",
  "same_purchase_suggestion": "Buy the same",
  "source_language": "en",
  "translation_source": "crowdsourcing",
  "translated": true,
  "ai_generated": false,
  "selected_review": true,
  "review_labels": {
    "Fit": "Fits ok",
    "Value for money": "High",
    "Quality": "Great"
  }
}

Tips for Best Results

• Check the product page first - Products with visible review counts and higher order counts tend to produce richer datasets.
• Start small - Run with results_wanted of 20 to 50 first, inspect the dataset preview, then scale up.
• Use photo reviews for quality checks - The withPictures filter is useful for verifying real product quality before sourcing.
• Expect empty fields on some reviews - AliExpress does not publish every signal for every review, so fields such as country or review_labels can be empty.
• Use proxies for large runs - Enabling Apify Proxy with a residential group makes larger collections more stable.
• Schedule regular runs - AliExpress reviews change over time, so scheduled runs give you a fresher dataset for monitoring.

Integrations

• Google Sheets - Export reviews for spreadsheet analysis.
• Webhooks - Trigger downstream workflows after each run.
• Make - Route new reviews into automated workflows.
• Zapier - Send reviews to the apps you already use.
• API - Access the dataset programmatically from your own systems.
• Airtable - Build a searchable review database.

Datasets can be downloaded in JSON, CSV, Excel, XML, and other supported formats directly from Apify Console.

Frequently Asked Questions

Can I collect reviews from multiple products in one run?

No. The Actor processes one product at a time. For multiple products, run the Actor once per product or use Apify scheduling to process a queue.

Can I export the reviews to CSV or Excel?

Yes. Apify datasets can be downloaded in CSV, Excel, JSON, XML, and other supported formats.

What if reviews are in a language I cannot read?

The dataset includes the best available text for analysis, and it keeps the original text and translation metadata when AliExpress provides them.

Are review images included?

Yes. Full-size image URLs are stored in the images array and thumbnails in thumbnail_images.

What happens if a product has no reviews?

The run completes successfully with an empty dataset. Check the review count on the product page before running.

Is this Actor suitable for non-technical users?

Yes. You can run it from Apify Console with form-based inputs and download the dataset without writing code.

Is it legal to scrape AliExpress reviews?

Scraping public web data can be legal, but you are responsible for complying with applicable laws, AliExpress terms, and privacy rules.

Related Actors

• AliExpress Scraper - Collect AliExpress product listings, prices, ratings, and seller details.
• Target Product Scraper - Extract Target product data including prices, ratings, and inventory.
• Poshmark Listings Scraper - Scrape Poshmark listings with prices, seller data, and photos.

Support

For issues, feature requests, or custom Actor work, use the Issues tab on the Actor page or contact the developer through Apify.

Legal Notice

This Actor is designed for legitimate data collection from publicly available AliExpress product pages. Users are responsible for using the data responsibly and complying with applicable laws and AliExpress terms of service.