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Amazon influencer storefront scraper example

Extract a public Amazon creator profile, idea lists, curations, and visible product recommendations into separate datasets.

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Amazon Influencer Storefront Scraper
Amazon Influencer Storefront Scraperautomation-lab/amazon-influencer-storefront-scraper
Handle
Creator name
Description
Avatar URL
+4 fields
Text
Number
Boolean
List
Object

Input

Amazon storefront URLs(required)
url:https://www.amazon.com/shop/sydneydelrey
Extract recommended products:true
Maximum collections per storefront:3
Maximum products per idea list:8
Request retries:2

Output fields

Handle
Creator name
Description
Avatar URL
Storefront URL
Marketplace
Collections found
Scraped at

How it works

Sign up on Apify or log in

The Amazon Influencer Storefront Scraper Actor is ready to run with the inputs already set for "Amazon influencer storefront scraper example". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Amazon influencer storefront scraper example" task

The Amazon Influencer Storefront Scraper Actor will start running based on the input automatically. You can also change all the input fields, like amazon storefront urls, extract recommended products, and more, to match your specific use case.

Receive the "Amazon influencer storefront scraper example" 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 handle, creator name, description, 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 "Amazon influencer storefront scraper example" task via API.

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