AliExpress Product Data Extraction: Prices, Reviews, and Sellers with Python

AliExpress is one of the world's largest e-commerce platforms, with millions of products from Chinese sellers. Extracting product data — prices, reviews, seller ratings — is invaluable for e-commerce intelligence, price monitoring, and market research. In this guide, I'll walk you through building an AliExpress scraper with Python. Use Cases for AliExpress Data Price comparison : Track product prices across sellers Dropshipping research : Find profitable products with good margins Competitor monitoring : Watch competitor pricing strategies Review sentiment analysis : Understand product quality from buyer feedback Supplier evaluation : Compare seller ratings and reliability Setting Up import requests from bs4 import BeautifulSoup import json import re import time HEADERS = { " User-Agent " : " Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 " , " Accept-Language " : " en-US,en;q=0.9 " , } # ScraperAPI handles proxy rotation and JS rendering SCRAPER_API_KEY = " YOUR_KE