How to Scrape AliExpress: The Ultimate 2025 Data Extraction Guide
Learn how to scrape AliExpress product data, prices, and reviews. Bypass Akamai anti-bot protection to automate e-commerce market research effectively.
Anti-Bot Protection Detected
- Akamai Bot Manager
- Advanced bot detection using device fingerprinting, behavior analysis, and machine learning. One of the most sophisticated anti-bot systems.
- Google reCAPTCHA
- Google's CAPTCHA system. v2 requires user interaction, v3 runs silently with risk scoring. Can be solved with CAPTCHA services.
- CAPTCHA
- Challenge-response test to verify human users. Can be image-based, text-based, or invisible. Often requires third-party solving services.
- Rate Limiting
- Limits requests per IP/session over time. Can be bypassed with rotating proxies, request delays, and distributed scraping.
- IP Blocking
- Blocks known datacenter IPs and flagged addresses. Requires residential or mobile proxies to circumvent effectively.
- Browser Fingerprinting
- Identifies bots through browser characteristics: canvas, WebGL, fonts, plugins. Requires spoofing or real browser profiles.
About AliExpress
Learn what AliExpress offers and what valuable data can be extracted from it.
AliExpress is a massive international e-commerce marketplace owned by the Alibaba Group. It connects small businesses, primarily in China, with buyers worldwide, offering millions of products across categories like electronics, fashion, home improvement, and toys. As a cornerstone of the global dropshipping and retail arbitrage ecosystem, it serves as a primary source for market analysis and product sourcing.
The platform hosts data from thousands of individual sellers, containing a wealth of structured information including dynamic pricing, historical sales data, and millions of customer reviews. Because it serves a global audience, content like prices and shipping logistics often fluctuate in real-time based on the user's geographic location and currency settings.
Scraping AliExpress data is highly valuable for businesses looking to monitor competitor pricing, identify trending products, and perform sentiment analysis on customer feedback. It allows market researchers to track global consumer demand and supply chain shifts accurately.
Why Scrape AliExpress?
Discover the business value and use cases for extracting data from AliExpress.
Identify high-demand products for dropshipping stores and e-commerce expansion.
Monitor competitor price changes in real-time across different global regions.
Aggregate customer reviews for deep sentiment analysis and product improvement.
Track shipping times and costs to optimize logistics and supply chain strategies.
Build comprehensive price comparison engines for retail consumers.
Identify niche trends before they go viral on social media platforms.
Scraping Challenges
Technical challenges you may encounter when scraping AliExpress.
Aggressive Akamai Bot Manager detection that blocks data center IPs immediately.
Heavy reliance on dynamic content rendering which requires JavaScript execution.
Frequently changing HTML structure and nested CSS selectors used for obfuscation.
Geo-locked content and currency variations that change based on the scraper's IP address.
Complex Slider CAPTCHAs that trigger during high-frequency or repetitive scraping tasks.
Scrape AliExpress with AI
No coding required. Extract data in minutes with AI-powered automation.
How It Works
Describe What You Need
Tell the AI what data you want to extract from AliExpress. Just type it in plain language — no coding or selectors needed.
AI Extracts the Data
Our artificial intelligence navigates AliExpress, handles dynamic content, and extracts exactly what you asked for.
Get Your Data
Receive clean, structured data ready to export as CSV, JSON, or send directly to your apps and workflows.
Why Use AI for Scraping
AI makes it easy to scrape AliExpress without writing any code. Our AI-powered platform uses artificial intelligence to understand what data you want — just describe it in plain language and the AI extracts it automatically.
How to scrape with AI:
- Describe What You Need: Tell the AI what data you want to extract from AliExpress. Just type it in plain language — no coding or selectors needed.
- AI Extracts the Data: Our artificial intelligence navigates AliExpress, handles dynamic content, and extracts exactly what you asked for.
- Get Your Data: Receive clean, structured data ready to export as CSV, JSON, or send directly to your apps and workflows.
Why use AI for scraping:
- No-code visual interface handles complex JavaScript rendering without writing manual scripts.
- Built-in proxy rotation and fingerprint management to bypass Akamai and Cloudflare blocks.
- Automated scheduling allows for hands-free, high-volume price and stock monitoring.
- Direct integration with Google Sheets and webhooks for real-time data synchronization.
- Flexible selectors that are easily updated when the AliExpress layout changes.
No-Code Web Scrapers for AliExpress
Point-and-click alternatives to AI-powered scraping
Several no-code tools like Browse.ai, Octoparse, Axiom, and ParseHub can help you scrape AliExpress. These tools use visual interfaces to select elements, but they come with trade-offs compared to AI-powered solutions.
Typical Workflow with No-Code Tools
Common Challenges
Learning curve
Understanding selectors and extraction logic takes time
Selectors break
Website changes can break your entire workflow
Dynamic content issues
JavaScript-heavy sites often require complex workarounds
CAPTCHA limitations
Most tools require manual intervention for CAPTCHAs
IP blocking
Aggressive scraping can get your IP banned
No-Code Web Scrapers for AliExpress
Several no-code tools like Browse.ai, Octoparse, Axiom, and ParseHub can help you scrape AliExpress. These tools use visual interfaces to select elements, but they come with trade-offs compared to AI-powered solutions.
Typical Workflow with No-Code Tools
- Install browser extension or sign up for the platform
- Navigate to the target website and open the tool
- Point-and-click to select data elements you want to extract
- Configure CSS selectors for each data field
- Set up pagination rules to scrape multiple pages
- Handle CAPTCHAs (often requires manual solving)
- Configure scheduling for automated runs
- Export data to CSV, JSON, or connect via API
Common Challenges
- Learning curve: Understanding selectors and extraction logic takes time
- Selectors break: Website changes can break your entire workflow
- Dynamic content issues: JavaScript-heavy sites often require complex workarounds
- CAPTCHA limitations: Most tools require manual intervention for CAPTCHAs
- IP blocking: Aggressive scraping can get your IP banned
Code Examples
import requests
from bs4 import BeautifulSoup
# Note: AliExpress blocks basic requests easily via Akamai
url = 'https://www.aliexpress.com/w/wholesale-watch.html'
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36',
'Accept-Language': 'en-US,en;q=0.9'
}
try:
response = requests.get(url, headers=headers, timeout=10)
if response.status_code == 200:
soup = BeautifulSoup(response.text, 'html.parser')
# Selectors often change; this is a generic example
products = soup.find_all('h3')
for item in products:
print(f'Product Found: {item.text.strip()}')
else:
print(f'Blocked with status: {response.status_code}')
except Exception as e:
print(f'An error occurred: {e}')When to Use
Best for static HTML pages where content is loaded server-side. The fastest and simplest approach when JavaScript rendering isn't required.
Advantages
- ●Fastest execution (no browser overhead)
- ●Lowest resource consumption
- ●Easy to parallelize with asyncio
- ●Great for APIs and static pages
Limitations
- ●Cannot execute JavaScript
- ●Fails on SPAs and dynamic content
- ●May struggle with complex anti-bot systems
How to Scrape AliExpress with Code
Python + Requests
import requests
from bs4 import BeautifulSoup
# Note: AliExpress blocks basic requests easily via Akamai
url = 'https://www.aliexpress.com/w/wholesale-watch.html'
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36',
'Accept-Language': 'en-US,en;q=0.9'
}
try:
response = requests.get(url, headers=headers, timeout=10)
if response.status_code == 200:
soup = BeautifulSoup(response.text, 'html.parser')
# Selectors often change; this is a generic example
products = soup.find_all('h3')
for item in products:
print(f'Product Found: {item.text.strip()}')
else:
print(f'Blocked with status: {response.status_code}')
except Exception as e:
print(f'An error occurred: {e}')Python + Playwright
from playwright.sync_api import sync_playwright
def scrape_aliexpress(search_term):
with sync_playwright() as p:
# Launching with stealth-like configurations
browser = p.chromium.launch(headless=True)
context = browser.new_context(user_agent='Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36')
page = context.new_page()
url = f'https://www.aliexpress.com/wholesale?SearchText={search_term}'
page.goto(url, wait_until='networkidle')
# Wait for product grid to appear
page.wait_for_selector('[class*="multi--container"]', timeout=10000)
products = page.query_selector_all('[class*="multi--container"]')
for product in products:
title = product.query_selector('[class*="multi--title"]').inner_text()
price = product.query_selector('[class*="multi--price-sale"]').inner_text()
print(f'Product: {title} | Price: {price}')
browser.close()
scrape_aliexpress('mechanical keyboard')Python + Scrapy
import scrapy
class AliExpressSpider(scrapy.Spider):
name = 'aliexpress'
start_urls = ['https://www.aliexpress.com/w/wholesale-drone.html']
def parse(self, response):
# AliExpress often hides data in window.runParams script tags
for product in response.css('.search-item'):
yield {
'title': product.css('h3::text').get(),
'price': product.css('.price--current::text').get(),
'rating': product.css('.rating-value::text').get(),
'sold': product.css('.sale-value::text').get()
}
# Basic pagination handling
next_page = response.css('a.next-pagination-item::attr(href)').get()
if next_page:
yield response.follow(next_page, self.parse)Node.js + Puppeteer
const puppeteer = require('puppeteer');
(async () => {
const browser = await puppeteer.launch({ headless: "new" });
const page = await browser.newPage();
// Set a realistic User-Agent
await page.setUserAgent('Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36');
await page.goto('https://www.aliexpress.com/w/wholesale-camera.html', { waitUntil: 'networkidle2' });
// Evaluate the page to extract titles
const results = await page.evaluate(() => {
const items = Array.from(document.querySelectorAll('h3'));
return items.map(h => h.innerText.trim());
});
console.log('Scraped Titles:', results);
await browser.close();
})();What You Can Do With AliExpress Data
Explore practical applications and insights from AliExpress data.
Dropshipping Trend Detection
Identify winning products by analyzing sales volume and rating growth trends across various niche categories.
How to implement:
- 1Scrape top-selling products in target categories every 48 hours.
- 2Compare 'Units Sold' counts to identify products with high acceleration.
- 3Filter for items with high ratings but low competitor saturation.
- 4Export the data directly to a product sourcing sheet or Shopify store.
Use Automatio to extract data from AliExpress and build these applications without writing code.
What You Can Do With AliExpress Data
- Dropshipping Trend Detection
Identify winning products by analyzing sales volume and rating growth trends across various niche categories.
- Scrape top-selling products in target categories every 48 hours.
- Compare 'Units Sold' counts to identify products with high acceleration.
- Filter for items with high ratings but low competitor saturation.
- Export the data directly to a product sourcing sheet or Shopify store.
- Real-time Price Monitoring
Adjust your retail pricing strategy based on the dynamic fluctuations of global suppliers on AliExpress.
- Set up a recurring scrape for a list of competitor or supplier product URLs.
- Extract the current 'Sale Price' and calculate the total landed cost with shipping.
- Trigger an automated alert if the price drops below a specific threshold.
- Integrate with a repricing tool to maintain healthy profit margins.
- Product Development Research
Use extracted review text to identify common product defects and customer pain points for R&D purposes.
- Extract thousands of user reviews for a specific type of electronic device.
- Use NLP models to categorize negative feedback into specific themes like 'battery life' or 'durability'.
- Identify features that customers frequently request in the comments section.
- Develop a improved product specification for manufacturing based on these insights.
- Competitive Intelligence Analysis
Analyze competitor store performance and customer loyalty levels through store-level metrics and metadata.
- Extract store-level data including total follower counts and percentage of positive feedback.
- Analyze the geographic distribution of buyers through review metadata and shipping options.
- Map the product assortment of top-tier sellers to identify gaps in your own catalog.
- Track store 'Last Active' timestamps to assess competitor operational health.
Supercharge your workflow with AI Automation
Automatio combines the power of AI agents, web automation, and smart integrations to help you accomplish more in less time.
Pro Tips for Scraping AliExpress
Expert advice for successfully extracting data from AliExpress.
Use high-quality residential proxies to avoid IP bans; data center IPs are almost always flagged by Akamai's bot manager.
Target the 'window.runParams' JavaScript object in the page source code, as it often contains clean, structured JSON data for the products.
Implement random human-like delays (2-5 seconds) and mouse movements to avoid triggering the aggressive slider CAPTCHAs.
Scrape during off-peak hours for the target region to reduce the likelihood of rate limiting and ensure faster response times.
Always set the 'sec-ch-ua' and 'Accept-Language' headers to match a real browser environment to avoid fingerprint detection.
Monitor the HTML structure weekly, as AliExpress frequently updates class names and element hierarchies to break scrapers.
Testimonials
What Our Users Say
Join thousands of satisfied users who have transformed their workflow
Jonathan Kogan
Co-Founder/CEO, rpatools.io
Automatio is one of the most used for RPA Tools both internally and externally. It saves us countless hours of work and we realized this could do the same for other startups and so we choose Automatio for most of our automation needs.
Mohammed Ibrahim
CEO, qannas.pro
I have used many tools over the past 5 years, Automatio is the Jack of All trades.. !! it could be your scraping bot in the morning and then it becomes your VA by the noon and in the evening it does your automations.. its amazing!
Ben Bressington
CTO, AiChatSolutions
Automatio is fantastic and simple to use to extract data from any website. This allowed me to replace a developer and do tasks myself as they only take a few minutes to setup and forget about it. Automatio is a game changer!
Sarah Chen
Head of Growth, ScaleUp Labs
We've tried dozens of automation tools, but Automatio stands out for its flexibility and ease of use. Our team productivity increased by 40% within the first month of adoption.
David Park
Founder, DataDriven.io
The AI-powered features in Automatio are incredible. It understands context and adapts to changes in websites automatically. No more broken scrapers!
Emily Rodriguez
Marketing Director, GrowthMetrics
Automatio transformed our lead generation process. What used to take our team days now happens automatically in minutes. The ROI is incredible.
Jonathan Kogan
Co-Founder/CEO, rpatools.io
Automatio is one of the most used for RPA Tools both internally and externally. It saves us countless hours of work and we realized this could do the same for other startups and so we choose Automatio for most of our automation needs.
Mohammed Ibrahim
CEO, qannas.pro
I have used many tools over the past 5 years, Automatio is the Jack of All trades.. !! it could be your scraping bot in the morning and then it becomes your VA by the noon and in the evening it does your automations.. its amazing!
Ben Bressington
CTO, AiChatSolutions
Automatio is fantastic and simple to use to extract data from any website. This allowed me to replace a developer and do tasks myself as they only take a few minutes to setup and forget about it. Automatio is a game changer!
Sarah Chen
Head of Growth, ScaleUp Labs
We've tried dozens of automation tools, but Automatio stands out for its flexibility and ease of use. Our team productivity increased by 40% within the first month of adoption.
David Park
Founder, DataDriven.io
The AI-powered features in Automatio are incredible. It understands context and adapts to changes in websites automatically. No more broken scrapers!
Emily Rodriguez
Marketing Director, GrowthMetrics
Automatio transformed our lead generation process. What used to take our team days now happens automatically in minutes. The ROI is incredible.
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Frequently Asked Questions About AliExpress
Find answers to common questions about AliExpress