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Build a category product dataset

Build a compact Amazon product dataset for a category query so teams can analyze pricing, ratings, BSR, and seller patterns.

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Amazon Product Research Scraper — BSR, Reviews & Seller
Amazon Product Research Scraper — BSR, Reviews & Sellerkhadinakbar/amazon-product-intelligence
ASIN
Title
Brand
Price
+12 fields
Text
Number
Boolean
List
Object

Input

Search Query (Keyword):protein powder
Amazon Marketplace:US
Max Products:10
Include Reviews:false
Max Reviews Per Product:5
Proxy Configuration:{2 fields}

Output fields

ASIN
Title
Brand
Price
Currency
Original Price
Discount %
Rating
Reviews
BSR Rank
BSR Category
Prime
Seller
Availability
Marketplace
Scraped At

How it works

Sign up on Apify or log in

The Amazon Product Research Scraper — BSR, Reviews & Seller Actor is ready to run with the inputs already set for "Build a category product dataset". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Build a category product dataset" task

The Amazon Product Research Scraper — BSR, Reviews & Seller Actor will start running based on the input automatically. You can also change all the input fields, like search query (keyword), amazon marketplace, and more, to match your specific use case.

Receive the "Build a category product dataset" 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 ASIN, title, brand, 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 "Build a category product dataset" task via API.

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Integrate "Build a category product dataset" into your workflow

Connect "Build a category product dataset" with 100+ integrations, or run it via API or MCP.

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