AliExpress Reviews Scraper & API: Only New Reviews

AliExpress Reviews Scraper & API - Give it AliExpress product links and get the buyer reviews, and only the new ones on every scheduled run.

What does AliExpress Reviews Scraper & API do?

Built for schedules: onlyNew returns just the reviews not seen in the last run, star, date, country and text filters cut the list to bad reviews or one market, and a quiet day ends successfully with 0 rows - no billed 'nothing new' row. Same input and output field names as kestrel/aliexpress-reviews

• Product links or numeric IDs, share links too
• onlyNew returns just reviews not seen last run
• Filter by stars, date, buyer country, text and photos
• Original and translated text, photos, SKU options, logistics
• Optional rating summary row per product

Who uses AliExpress Reviews Scraper & API, and for what

• Sellers - read every new bad review on a product each morning
• Dropshippers - check real buyer photos and complaints before listing
• Brands - watch competitor products for quality problems
• Researchers - export reviews by country for analysis

Why this AliExpress Reviews Scraper & API?

Low tools fail because AliExpress blocks them, they drop fields between runs, or they re-bill the same old reviews. This AliExpress Reviews Scraper & API checks every run and tells you plainly when a page could not be read, instead of returning empty or wrong rows.

Data you get from AliExpress Reviews Scraper & API

Every result is one flat row with these fields (values from a real run):

Field	Example
type	product
product_id	1005005244562338
product_url	https://www.aliexpress.com/item/1005005244562338.html
product_title	null
review_id	null
rating	4.8
review_date	null
text	null
text_translated	null
buyer_country	null
buyer_name	null
sku_info	null
attributes	null
logistics	null
images	null
image_count	null
helpful_votes	null
follow_up_text	null
follow_up_days	null
status	null
rating_percent	95.9
reviews_total	553
reviews_fetched	0
five_star	486
four_star	44

How to use AliExpress Reviews Scraper & API

1. Press Start - the form already holds an example that works.
2. Put in your own input (see the fields on the Input tab).
3. Run it once, or put it on an Apify Schedule (with only new on, where the form has it) to get just what is new every day; add a webhookUrl to get each run's rows sent to your own system, Zapier, Make or Slack.
4. Download the results as JSON, CSV or Excel, or send them to Google Sheets, Zapier, Make, the Apify API or an AI agent (Apify MCP server).

Input example

{
  "productUrls": [
    "https://www.aliexpress.com/item/1005005244562338.html"
  ],
  "maxReviewsPerProduct": 3,
  "maxItems": 3,
  "reviewsFilter": "all",
  "minRating": 1,
  "maxRating": 5,
  "requireText": false,
  "sort": "default",
  "language": "en_US",
  "includeProductRow": false,
  "hideBuyerDetails": false,
  "onlyNew": false,
  "onlyNewReviews": false,
  "useApifyProxy": true
}

Output example (a real run)

[
  {
    "type": "product",
    "product_id": "1005005244562338",
    "product_url": "https://www.aliexpress.com/item/1005005244562338.html",
    "product_title": null,
    "review_id": null,
    "rating": 4.8,
    "review_date": null,
    "text": null,
    "text_translated": null,
    "buyer_country": null,
    "buyer_name": null,
    "sku_info": null,
    "attributes": null,
    "logistics": null,
    "images": null,
    "image_count": null,
    "helpful_votes": null,
    "follow_up_text": null,
    "follow_up_days": null,
    "status": null,
    "rating_percent": 95.9,
    "reviews_total": 553,
    "reviews_fetched": 0,
    "five_star": 486,
    "four_star": 44,
    "three_star": 10,
    "two_star": 4,
    "one_star": 9,
    "positive_count": 530,
    "changeType": "same"
  },
  {
    "type": "review",
    "product_id": "1005005244562338",
    "product_url": "https://www.aliexpress.com/item/1005005244562338.html",
    "product_title": null,
    "review_id": "30106789564827216",
    "rating": 5,
    "review_date": "2026-10-28",
    "text": "ottimo prodotto",
    "text_translated": "excellent product",
    "buyer_country": "IT",
    "buyer_name": "AliExpress Shopper",
    "sku_info": "Color:K9023-Q-4L-02",
    "attributes": {
      "Color": "K9023-Q-4L-02"
    },
    "logistics": "AliExpress Selection Standard Shipping",
    "images": null,
    "image_count": 0,
    "helpful_votes": 0,
    "follow_up_text": null,
    "follow_up_days": null,
    "status": "1",
    "rating_percent": null,
    "reviews_total": null,
    "reviews_fetched": null,
    "five_star": null,
    "four_star": null,
    "three_star": null,
    "two_star": null,
    "one_star": null,
    "positive_count": null,
    "changeType": "new"
  }
]

One flat row per result.

Built for pipelines

• Field names never change - fixes and new features only ever add fields, so your code keeps working.
• Every row has the same shape - a missing value is null, never a dropped field.
• A plain status line on every run - how many results, and on a problem what to change in the input - for your logs and for AI agents.
• Runs on its own - put it on an Apify Schedule and add a webhookUrl: each run's rows go straight to your system, Zapier, Make or Slack.

How much does AliExpress Reviews Scraper & API cost?

You pay only per result (pay per event) - no monthly fee, no minimum, and the price per result is lower on Apify's Bronze, Silver and Gold plans. The exact price is on the Pricing tab. Apify's free plan credit is enough to try it on real input.

You want	What you pay for
A quick test with the example	a few results
A daily scheduled run	only the rows that run returns
A big one-off export	the results delivered - set a maximum in the input

Also searched as

• aliexpress reviews scraper
• aliexpress reviews api
• scrape aliexpress reviews
• aliexpress review monitor
• aliexpress product reviews
• export aliexpress reviews

FAQ

Does AliExpress Reviews Scraper & API need a login, cookies or an API key? No. It reads public pages only.

Can I run AliExpress Reviews Scraper & API on a schedule? Yes - with Apify Schedules; each run returns fresh rows.

Can I call it from Python, JavaScript or an AI agent? Yes - through the Apify API, the Apify client libraries or the Apify MCP server.

Is it legal? It collects only data anyone can see without logging in. You are responsible for using it within the source site's terms and data protection law (GDPR, CCPA).

What if the site blocks a request? The run retries from a fresh connection and, if it still cannot read the page, stops with a clear message - never with made-up rows.

Do I need proxies? No setup needed - AliExpress Reviews Scraper & API uses Apify Proxy by default where the site needs it.

Troubleshooting

• No results: check the input (a public URL or a search term that returns results in a normal browser), then try the example input once.
• Fewer results than expected: raise the maximum in the input; some sites show only a part of their data without logging in, and AliExpress Reviews Scraper & API never logs in.
• The run stopped with a message: the message says what the site answered; run it again later or with fewer items.

Your feedback

Missing a field, found a bug, or need another site? Open an issue on the Issues tab - issues are answered and fixed. If AliExpress Reviews Scraper & API saved you time, a short review on this page helps others find it.

Data source: www.aliexpress.com

More tools from this developer

• Tweet Scraper: Tweet Details by URL, No Login or Cookies
• YouTube Thumbnail Downloader: Bulk, Every Size & Titles
• ML Conference Finder: NeurIPS, ICLR & ICML Alternatives
• YouTube Transcript Scraper: Find Every Moment a Word Is Said
• Facebook Ads Library Scraper: Only New Ads & Days Running
• Reddit Scraper: Keyword Alerts for New Posts & Comments
• Twitter Scraper: New Tweets From Any X Account, No Login
• Facebook Page Monitor: New Posts & Engagement Growth