What is Aliexpress Data Scraping

Aliexpress is a global leading cross-border e-commerce platform, and its data (product details, price trends, user reviews, etc.) has important commercial value. However, the platform has strict anti-crawling mechanisms (IP blocking, human-machine verification, dynamic loading, etc.), and effective crawling requires professional tools + proxy IP combination technology. IP2world's dynamic residential proxy, static ISP proxy and other products can provide highly anonymous IP resources and anti-crawling support for Aliexpress data collection.

1 Aliexpress data scraping tool classification and selection

1.1 General crawler framework

Scrapy (Python)

Core advantages: asynchronous processing, strong middleware scalability, and can integrate Selenium to process dynamic pages.

Proxy configuration: Inject IP2world proxy pool through DOWNLOADER_MIDDLEWARES, sample code:

class ProxyMiddleware:

def process_request(self, request, spider):

request.meta['proxy'] = 'http://user:pass@ip2world_proxy_ip:port'

Octoparse (visualization tool)

Applicable scenarios: Non-technical personnel quickly collect basic product information (title, price, sales volume).

Proxy support: The HTTP/SOCKS5 proxy server address needs to be configured in the global settings.

1.2 E-commerce dedicated solutions

Aliexpress API (official interface)

High compliance: structured data can be obtained through OpenAPI, but permission must be applied for and fields are limited.

Rate Limit: The free version is usually limited to 200 requests per hour.

Helium Scraper (browser automation)

Dynamic rendering: simulate real user operations (scrolling, clicking) and crack JavaScript loading content.

IP protection: Need to cooperate with IP2world's S5 proxy to realize automatic IP change for each session.

2 Aliexpress anti-crawling mechanism cracking strategy

2.1 High-frequency access protection

IP rotation rules:

The single IP request interval is ≥ 15 seconds, and the daily request volume is ≤ 500 times (based on IP2world measured data).

Use dynamic residential proxy to automatically change IP address according to the number of requests.

Traffic camouflage technology:

Randomize the User-proxy, Accept-Language, and Referer fields in the request header.

Simulate Chrome/Firefox browser fingerprint (via selenium-wire library).

2.2 Dynamic content loading processing

AJAX request interception:

Use the browser developer tools (F12) to monitor XHR/Fetch requests and call the data interface directly.

Example: Aliexpress product review API usually contains itemId and page parameters.

Headless browser solution:

Playwright/Puppeteer: Set headless: false mode to bypass behavior detection.

Fingerprint obfuscation: Modify Canvas/WebGL fingerprints through the fingerprint-suite library.

3 The key role and configuration scheme of proxy IP

3.1 Proxy Type Selection

Dynamic residential proxy (recommended scenario):

IP2world provides tens of millions of real residential IPs around the world, effectively avoiding Aliexpress's data center IP identification.

Supports rotation by session/IP survival time to match the needs of different crawling stages.

Static ISP proxy (long-term monitoring scenario):

Fixed IP is suitable for continuously tracking price fluctuations of specific commodities, and the request interval needs to be set to ≥ 30 seconds.

3.2 Proxy Integration Practice

Python requests library proxy settings:

proxies = {

'http': 'socks5://ip2world_user:[email protected]:24000',

'https': 'socks5://ip2world_user:[email protected]:24000'

}

response = requests.get(url, proxies=proxies, timeout=10)

Distributed crawling architecture:

Use Scrapy-Redis to schedule multi-node tasks, and bind an independent proxy IP to each node.

4 Data analysis and storage optimization

4.1 Structured Data Extraction

XPath positioning techniques:

Product title: //h1[@class="product-title-text"]/text()

Historical prices: Parse the JSON string in data-analytics.

Comment text cleaning:

Use regular expressions to filter out extraneous characters (such as r'\d{4}-\d{2}-\d{2}' to match dates).

4.2 Storage Solution Design

Real-time storage:

Write the cleaned data into MySQL/MongoDB. It is recommended to store product metadata and dynamic data in separate tables.

Incremental crawling:

Based on Redis Bloom filter deduplication, only products with listing time > last crawled timestamp are crawled.

As a professional proxy IP service provider, IP2world provides a variety of high-quality proxy IP products, including dynamic residential proxy, static ISP proxy, exclusive data center proxy, S5 proxy and unlimited servers, suitable for a variety of application scenarios. If you are looking for a reliable proxy IP service, welcome to visit IP2world official website for more details.