AliExpress Scraper
3 days trial then $30.00/month - No credit card required now
AliExpress Scraper
3 days trial then $30.00/month - No credit card required now
Effortlessly extract descriptions, images, feedback, questions, prices, and shipping information from AliExpress. Customize country, language, and region preferences for enhanced data gathering.
You can access the AliExpress Scraper programmatically from your own Python applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9 "startUrls": [
10 "https://aliexpress.com/category/100003109/women-clothing.html",
11 "https://www.aliexpress.com/item/32940810951.html",
12 ],
13 "maxItems": 10,
14 "language": "en_US",
15 "shipTo": "US",
16 "currency": "USD",
17 "proxy": { "useApifyProxy": True },
18 "extendOutputFunction": "($) => { return {} }",
19}
20
21# Run the Actor and wait for it to finish
22run = client.actor("epctex/aliexpress-scraper").call(run_input=run_input)
23
24# Fetch and print Actor results from the run's dataset (if there are any)
25print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
26for item in client.dataset(run["defaultDatasetId"]).iterate_items():
27 print(item)
28
29# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startAliExpress Data Extractor API in Python
The Apify API client for Python is the official library that allows you to use AliExpress Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
epctex- 49 monthly users
- 14 stars
- 99.3% runs succeeded
- Created in Oct 2019
- Modified about 2 hours ago
