How to Scrape AliExpress Product Data in 2025?

AliExpress is a goldmine for businesses, offering competitive prices, market trends, and an enormous product catalog. Whether you're a dropshipper, an affiliate marketer, or a business analyst, leveraging this data can give you a significant edge.

Extracting this information manually, however, is tedious and time-consuming. Luckily, tools like Product Fetcher automate the entire process, turning raw data into actionable insights.

In this article, we'll explore why Product Fetcher is the ultimate solution while walking you through a manual method to scrape AliExpress data using Node.js.

Why is scraping AliExpress challenging?

AliExpress protects its data with built-in anti-scraping mechanisms. Here’s why manual scraping can be a headache:

1. Dynamic Content

Key information, like product prices and reviews, is loaded dynamically via JavaScript. This requires tools that can handle full-page rendering, such as Puppeteer.

2. Anti-Bot Measures

CAPTCHAs, IP bans, and traffic throttling can block scrapers quickly. Without robust handling strategies, your scraper could be blocked in minutes.

3. Frequent Changes

AliExpress frequently updates its HTML structure, which can break scrapers and demand constant script updates.

Why scraping Aliexpress product data?

Dropshippers

Quickly find profitable products by analyzing prices, reviews, and ratings. Use this data to optimize your product selection and pricing strategies.

Affiliate Marketers

Enhance your promotional content with detailed product descriptions, features, and images to boost conversion rates.

Market Analysts

Monitor market trends and competitor strategies with accurate, up-to-date product data from AliExpress.

Manual Method: Scraping AliExpress with Node.js

For developers who want to experiment with scraping, here’s how you can extract data using Puppeteer in Node.js.

Step 1: Set Up Your Environment

Install Puppeteer, a library for browser automation:

npm install puppeteer

Step 2: Write a Script

This script retrieves product names and prices from an AliExpress search page:

const puppeteer = require("puppeteer");

(async () => {
  const browser = await puppeteer.launch();
  const page = await browser.newPage();

  // Navigate to AliExpress search page
  await page.goto("https://www.aliexpress.com/wholesale?SearchText=smartphone", {
    waitUntil: "networkidle2",
  });

  // Extract product details
  const products = await page.evaluate(() => {
    return Array.from(document.querySelectorAll(".manhattan--title-text")).map(
      (product, index) => {
        const title = product.textContent.trim();
        const price = document
          .querySelectorAll(".manhattan--price-saleText")[index]
          ?.textContent.trim();
        return { title, price };
      }
    );
  });

  console.log(products);

  await browser.close();
})();

Challenges with manual product data extraction :

Once you have a working scraping script you'll face the actua challenges of extracting product data from huge marketplaces like Aliexprss :

1. Proxy Rotation

AliExpress monitors IP activity closely. Scraping from a single IP address can lead to immediate bans.

2. CAPTCHA Solving

Encountering CAPTCHAs is inevitable. Solving them programmatically requires third-party services, adding complexity and cost.

3. Header Rotation

Static headers can flag your requests as automated. Implementing randomized headers is necessary to mimic human browsing behavior.

4. Dynamic Rendering

JavaScript-heavy content often requires headless browser automation, which consumes significant resources.

5. Constant Updates

Keeping your script functional requires frequent updates as AliExpress changes its structure.

These challenges can be overwhelming, especially for those without extensive technical expertise.

Why Choose Product Fetcher?

While scraping scripts can work, they demand technical knowledge, time, and maintenance. Product Fetcher eliminates these hassles with a robust, scalable, and ready-to-use solution.

Key Advantages

1. Ease of Use
   Skip coding entirely. Fetch structured data with a simple API call.
2. Reliability
   Automatically handles IP rotation, CAPTCHA-solving, and JavaScript rendering.
3. Scalability
   Extract data for thousands of products in seconds.
4. Adaptability
   The service adjusts seamlessly to updates in AliExpress’s structure.

Example: Using Product Fetcher for AliExpress

Step 1: Make an API Request

Fetch product data with a single API call:

curl -X GET "https://product-fetcher.com/api/product?apiKey=${yourApiKey}&url=https://www.aliexpress.com/item/1005005184831712.html"

Step 2: Use the Data

Integrate the data into your application:

const axios = require("axios");

(async () => {
  try {
    const response = await axios.get("https://product-fetcher.com/api/product", {
      params: {
        apiKey: "yourApiKey",
        url: "https://www.aliexpress.com/item/1005005184831712.html",
      },
    });

    console.log(response.data);
  } catch (error) {
    console.error("Error:", error);
  }
})();

Example Output

{
  "name": "Smartphone XYZ",
  "description": "The most advanced smartphone of 2025",
  "price": "199.99",
  "currency": "USD",
  "rating": "4.7",
  "reviews": "512",
  "images": ["https://media.aliexpress.com/image.png"]
}

Take Your Business to the Next Level

Product Fetcher is more than just a scraper—it’s a complete data solution tailored for businesses.

• Dropshippers can optimize product listings.
• Marketers can improve campaigns with detailed product data.
• Analysts can track trends and competitors.

Stop wasting time on technical challenges. With Product Fetcher, you can focus on what really matters—growing your business.

Try Product Fetcher for free and unlock the power of AliExpress data today!