AliExpress Reviews Scraper

🚀 AliExpress Reviews Scraper: Customer Reviews, Ratings and Buyer Photos

Export AliExpress reviews from any product page as clean JSON, CSV or Excel. The AliExpress Reviews Scraper returns the full review text with its English translation, the star rating, date, buyer country, the exact variant purchased, buyer photos, per-aspect ratings and follow-up feedback. Use it for dropshipping product research, supplier vetting, sentiment analysis, or as a simple alternative to an AliExpress API for customer reviews.

Turn on the optional product summary and you also get the product's AliExpress ratings (average, star breakdown, positive rate) plus AliExpress's own buyer topic tags, such as "fast delivery" or "good sound", with mention counts and sentiment. That gives you aggregate buyer feedback without running any NLP yourself.

🎯 Use Cases

• Read AliExpress reviews before you dropship a product: see what buyers actually complain about before you add an item to your store.
• Collect AliExpress customer reviews for sentiment analysis: feed the full review text into an LLM or BI tool, or start from the ready-made sentiment tags.
• Compare AliExpress ratings across competing listings: pull the star breakdown and positive rate for several suppliers of the same product in one run.
• Mine AliExpress review photos: collect real buyer photos for quality checks, ads or product pages.
• Import AliExpress reviews into your own store: export the text, rating, date and photos as CSV or JSON for your review app or catalog.
• Variant-level quality control: the variant field shows whether low ratings cluster on one colour or size.

✨ Features

• Complete review text: the full review in the buyer's original language, never a truncated snippet.
• English translations: AliExpress's English translation of every review, on the same record.
• Ratings and dates: a 1–5 star rating and the review date on every record, ready for trend analysis.
• Buyer photos: direct image URLs for the photos attached to a review.
• Variant purchased: the exact SKU the review refers to, such as Color:black.
• Per-aspect ratings: the structured labels buyers pick, such as "Quality of sound", "Durability" or "User Friendly".
• Follow-up reviews: the extra comment buyers add after using the product, with its own date.
• Buyer sentiment tags (optional): topic tags with mention counts and positive/negative sentiment, plus average rating, positive rate and the full star breakdown, in one record per product.
• Photo-only and follow-up-only modes: collect just the reviews with buyer photos, or just the ones with follow-up feedback.
• Shipping method and buyer country on every review.
• No duplicates, fair billing: each review is saved and charged once, even when AliExpress starts repeating records.
• Fast: about 100 reviews per request with built-in retries, so a 1,000-review pull takes seconds.

🛠️ How It Works

1. Paste AliExpress product URLs, such as https://www.aliexpress.com/item/3256812550576374.html. Add as many as you want.
2. Set the review limit and filter: 50 reviews per product by default; all reviews, only reviews with photos, or only reviews with follow-up feedback. Optionally switch on the product summary.
3. Run the scraper and download the dataset as JSON, CSV, Excel or XML, or pull it through the Apify API.

⚙️ Input

Field	What it does
AliExpress product URLs	Product pages to scrape reviews from (/item/<id>.html links or bare product IDs).
Max reviews per product	How many reviews to collect for each product. Default 50.
Which reviews to collect	all (default), image for reviews with buyer photos only, additional for reviews with follow-up feedback only.
Include product review summary	Also save one record per product with ratings and buyer topic tags. Default off.

{
    "productUrls": [{ "url": "https://www.aliexpress.com/item/3256812550576374.html" }],
    "maxReviewsPerProduct": 50,
    "filter": "all",
    "includeProductSummary": false
}

💰 How Much Does It Cost to Scrape AliExpress Reviews?

Pay only for the data you get. No monthly rental.

Event	Price	What you get
Review	$0.002 per review ($2.00 per 1,000)	One review record with all the fields below
Product summary	$0.005 per product	Ratings, star breakdown and sentiment tags (only when enabled; never for a product with no ratings)
Actor start	$0.00005 per run	Charged once when the run starts.

Examples:

• 50 reviews of one product = $0.10.
• 1,000 reviews = $2.00.
• 20 products × 50 reviews with the summary on = 1,000 × $0.002 + 20 × $0.005 = $2.10.

Set a maximum cost per run and the Actor stops as soon as it is reached; the status message says so.

New Apify accounts include $5 of free monthly usage on the free plan, which covers about 2,500 reviews.

📊 Sample Output Data

Each review is one dataset item. This is a real row:

{
    "productId": "3256812550576374",
    "productUrl": "https://www.aliexpress.com/item/3256812550576374.html",
    "reviewId": "60095809129559711",
    "rating": 5,
    "date": "08 Mar 2026",
    "text": "tienen muy buena calidad de sonido. La verdad me impresionó mucho",
    "translatedText": "They have very good sound quality. The truth is, it impressed me a lot.",
    "reviewerName": "AliExpress Shopper",
    "reviewerCountry": "US",
    "isAnonymous": true,
    "variant": "Color:black",
    "images": [
        "https://ae-pic-a1.aliexpress-media.com/kf/Afd74f5b58bf74fe5a5941d9e3b27b17fQ.jpg",
        "https://ae-pic-a1.aliexpress-media.com/kf/A46688a14457d42afa748608429d499ead.jpg"
    ],
    "shipping": "AliExpress Selection Standard Shipping",
    "aspectRatings": [
        { "name": "Quality of sound", "value": "Fits ok" },
        { "name": "Durability", "value": "Fits ok" },
        { "name": "User Friendly", "value": "Good" }
    ],
    "followUpText": null,
    "followUpTranslatedText": null,
    "followUpDate": null,
    "followUpAfterDays": null,
    "helpfulVotes": 0,
    "unhelpfulVotes": 0,
    "isAiGenerated": false,
    "wouldBuyAgain": "Buy the same"
}

text is the buyer's original language and translatedText is AliExpress's English version; for English reviews the two match. aspectRatings are the labels exactly as AliExpress stores them for the product's category. The followUp* fields are filled only when the buyer added a follow-up comment.

With Include product review summary on, each product also gets one record like this (real row, tags trimmed):

{
    "type": "productSummary",
    "productId": "3256812550576374",
    "productUrl": "https://www.aliexpress.com/item/3256812550576374.html",
    "averageRating": 4.9,
    "totalReviews": 2077,
    "totalRatings": 11614,
    "positiveRate": 92.9,
    "ratingBreakdown": { "fiveStar": 9278, "fourStar": 1508, "threeStar": 828, "twoStar": 0, "oneStar": 0 },
    "sentimentTags": [
        { "tag": "well satisfied", "sentiment": "positive", "mentions": 528 },
        { "tag": "good sound", "sentiment": "positive", "mentions": 400 },
        { "tag": "fast delivery", "sentiment": "positive", "mentions": 251 },
        "…"
    ]
}

totalReviews counts written reviews, which is what the Actor can return. totalRatings is larger because it also counts star ratings left without text.

Review fields

Field	Description
productId	AliExpress product ID the review belongs to
productUrl	Product page URL
reviewId	Stable identifier for the review
rating	Star rating, 1–5
date	Date the review was posted
text	Full review text in the buyer's original language
translatedText	English translation of the review
reviewerName	Buyer's display name, masked or "AliExpress Shopper"
reviewerCountry	Two-letter country code of the buyer
isAnonymous	Whether the buyer posted anonymously
variant	The SKU that was reviewed, e.g. Color:black
images	URLs of the buyer's photos
shipping	Shipping method used for the order
aspectRatings	Per-aspect labels and values chosen by the buyer
followUpText	Follow-up comment added after the review
followUpTranslatedText	English translation of the follow-up
followUpDate	Date of the follow-up
followUpAfterDays	Days between the review and the follow-up (0 = same day)
helpfulVotes	How many shoppers marked the review helpful
unhelpfulVotes	How many shoppers marked the review unhelpful
isAiGenerated	AliExpress's own AI-generated-content flag
wouldBuyAgain	Buyer's repurchase intent, e.g. Buy the same

Product summary fields

Field	Description
averageRating	Overall star rating of the product
totalReviews	Number of written reviews
totalRatings	Number of star ratings, including those left without text
positiveRate	Share of positive ratings, in percent
ratingBreakdown	Count of 5, 4, 3, 2 and 1 star ratings
sentimentTags	Buyer topic tags with tag, sentiment and mentions count

🔁 Schedule and Integrate AliExpress Feedback

To monitor buyer feedback on products you sell or source, run it once a day or once a week with the same product URLs and a small limit: new reviews show up near the top, and each run is a dated snapshot of ratings and sentiment tags. Set it up in Apify Schedules. Send the results to Google Sheets, Zapier, Make, n8n or a webhook with Apify integrations, so new reviews land where your team already works.

Tips:

• Use the photo filter for image mining. With image, only reviews with buyer photos are collected and charged, so you don't pay for the many reviews that have none.
• Follow-up reviews show durability. additional returns only reviews the buyer came back to update, the best signal for problems that appear after delivery.
• Batch your products. Put every product URL into one run; products are fetched in parallel, so a batch finishes far faster than separate runs.
• Triage with the summary. One product summary costs the same as 2.5 reviews and gives the star breakdown plus sentiment tags, a fast way to screen many products before pulling full review text.

🤖 Use with AI Agents (MCP)

This Actor works as a tool in Claude, ChatGPT, Cursor and other MCP clients through the Apify MCP server (https://mcp.apify.com). An agent can call it with:

{
    "productUrls": [{ "url": "https://www.aliexpress.com/item/3256812550576374.html" }],
    "maxReviewsPerProduct": 20,
    "includeProductSummary": true
}

❓ AliExpress Reviews FAQ

Does AliExpress have an official API for reviews? AliExpress runs an Open Platform for affiliates, dropshipping partners and sellers. It needs an app registration and approval, and it is built around products and orders rather than public buyer reviews. This Actor needs no key, account or approval, and returns the public reviews any shopper can read, with translations, photos, per-aspect ratings, follow-ups and sentiment tags in one record.

Do I need an AliExpress account? No. The Actor only collects reviews that anyone can read on AliExpress without logging in.

How many AliExpress reviews can I get from one product? Products with up to about 5,000 written reviews can be collected in full. Beyond that, AliExpress stops serving new records and starts repeating the ones it already returned, so a product advertising 13,000 reviews yields roughly 5,000 unique ones. The Actor detects the repetition, stops there, and never charges twice for the same review.

In what order do reviews come back? In AliExpress's default order for the US storefront, which lists reviews from US buyers first and then buyers from other countries. A small limit therefore returns mostly US reviews; raise the limit to reach the rest. Every record carries date and reviewerCountry, so you can sort or filter the dataset afterwards.

Why is a field empty? images is an empty list when the buyer attached no photos, aspectRatings is empty when the buyer picked no labels, and the followUp* fields are null unless the buyer added a follow-up. A product nobody has rated gets no summary record and is not charged; the run's status message lists products that returned no reviews.

Can I filter reviews by star rating or keyword? Not at the source, because AliExpress does not honour a rating filter on its review feed. Collect the reviews and filter the dataset afterwards; every record has rating and the full text. For just the rating distribution, the product summary gives the full star breakdown for the price of 2.5 reviews.

Is scraping AliExpress reviews legal? The Actor collects only publicly available reviews. Scraping public data is generally legal, but how you use it matters: don't use it in ways that breach privacy laws such as GDPR or CCPA, and consult a lawyer if you process personal data. See Is web scraping legal?.

Something is not working or I need a different field. Report it on the Issues tab of this Actor. For a tailored version, custom solutions are available.

🔗 Related Scrapers

• AliExpress Product Details Scraper: full product records for the same URLs, with variants, stock, shipping and seller rating.
• AliExpress Listings Scraper: find products by keyword, then collect their reviews here.
• AliExpress Image Search Scraper: find AliExpress products from a photo and compare their reviews.
• DHgate Reviews Scraper: buyer reviews from DHgate, to compare the same product across marketplaces.
• Loox Reviews Scraper: photo reviews from Shopify stores, to see how dropshipped products are reviewed after import.