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Prepare AliExpress products for analysis in Python

Flat, consistently typed AliExpress products that loads straight into pandas or a notebook without cleanup.

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AliExpress Scraper Goat
AliExpress Scraper Goatgoat255/aliexpress-scraper
Type
ID
Title
Price
+12 fields
Text
Number
Boolean
List
Object

Input

Product URLs or IDs:https://www.aliexpress.com/item/1005005055632892.html
Include reviews:true
Max reviews per product:40

Output fields

Type
ID
Title
Price
Original
Currency
Discount %
Rating
Reviews
Orders
Store
Buyer Country
Reviewer
Review
Image
URL

How it works

Sign up on Apify or log in

The AliExpress Scraper Goat Actor is ready to run with the inputs already set for "Prepare AliExpress products for analysis in Python". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Prepare AliExpress products for analysis in Python" task

The AliExpress Scraper Goat Actor will start running based on the input automatically. You can also change all the input fields, like product urls or ids, include reviews, and more, to match your specific use case.

Receive the "Prepare AliExpress products for analysis in Python" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as type, ID, title, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Prepare AliExpress products for analysis in Python" task via API.

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