AliExpress has over 100 million products spanning virtually every consumer category. For anyone doing price monitoring, dropshipping research, supplier vetting, or competitive analysis, reliable product data from AliExpress is not optional — it is table stakes.
The problem is getting it at scale without spending a week fighting bot detection. This post explains why AliExpress is genuinely difficult to scrape, and how we solved it with a ready-made actor you can run in under five minutes.
The use cases are consistent across every type of buyer and seller who works with the platform:
AliExpress has invested heavily in making automated access difficult. There are three layers working against you:
The HTML you get from a plain HTTP request contains almost no product data. Prices, sales counts, ratings, and even product titles are injected by JavaScript after the page loads. Any approach based on simple HTTP requests and HTML parsing returns empty divs. You need a full browser runtime.
AliExpress runs multi-signal bot detection that has grown significantly more aggressive over the past two years. IP reputation, browser fingerprinting, request patterns, and behavioral signals are all evaluated together. Datacenter IPs are blocked outright. Residential proxies help but introduce their own reliability and cost problems.
Rate limiting, CAPTCHA challenges, and session invalidation are deployed at scale. A scraper that works on page one of a keyword search will frequently fail on pages five or ten as the session ages. Building retry logic, session management, and proxy rotation that handles this reliably takes weeks of engineering — and constant maintenance as AliExpress updates their systems.
The real cost: It is not just engineering time. Residential proxies for AliExpress run $5–$15 per GB. A naive scraper burns through bandwidth fast. The infrastructure cost often exceeds the value of the data before you have a working system.
We built and maintain an AliExpress Scraper actor on Apify that handles all of this for you. You send it keywords or product URLs, it returns structured JSON.
Configure a run with a simple JSON object:
{
"searchQuery": "wireless earbuds bluetooth 5.3",
"maxItems": 100,
"country": "US"
}Or target specific product URLs directly:
{
"productUrls": [
"https://www.aliexpress.com/item/1005006789012345.html",
"https://www.aliexpress.com/item/1005007654321098.html"
]
}Each result is a clean JSON object:
{
"title": "TWS Wireless Earbuds Bluetooth 5.3 HiFi Stereo",
"url": "https://www.aliexpress.com/item/1005006789012345.html",
"productId": "1005006789012345",
"price": 8.99,
"priceText": "$8.99",
"soldCount": 15820,
"sales": "10,000+ sold",
"rating": 4.7,
"reviewCount": 2341,
"imageUrl": "https://ae01.alicdn.com/kf/..."
}| Field | Type | Description |
|---|---|---|
title | string | Full product title |
price | number | Current price (numeric, USD) |
priceText | string | Price as displayed (e.g. "$8.99") |
soldCount | integer | Units sold (numeric) |
sales | string | Sales label (e.g. "10,000+ sold") |
rating | number | Seller rating (0–5) |
reviewCount | integer | Number of reviews |
imageUrl | string | Main product image URL |
Output is available as JSON, CSV, or XLSX directly from the Apify platform. No server infrastructure required on your end.
The actor uses Pay Per Event pricing at $0.005 per result. The math is straightforward:
| Volume | Cost |
|---|---|
| 100 products | $0.50 |
| 1,000 products | $5.00 |
| 10,000 products | $50.00 |
| 100,000 products | $500.00 |
Compare that to the cost of maintaining residential proxy infrastructure and a custom scraper. At any scale below hundreds of thousands of runs per month, the actor is cheaper.
Apify has a free tier that gives you enough compute to run a test scrape. Sign up here if you don't have an account.
If you need bulk exports, scheduled runs, or API integration, the Apify platform handles all of it. The actor connects directly to Apify's dataset and storage APIs, so you can pull results into your pipeline without any intermediate infrastructure.