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Amazon Similar Products Scraper | MLT Search

This task extracts similar product listings from Amazon based on a specified product ASIN. Gain insights into products that bear resemblance to the item you are interested in. The results include key details such as titles, prices, and ratings, providing a comprehensive view of comparable options available on Amazon.

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Amazon Search Scraper
Amazon Search Scraperamazon-scraper/amazon-search-scraper
Query
Image
Position
Asin
+22 fields
Text
Number
Boolean
List
Object

Input

Search URIs:/s?mltAsin=B0CMPMY9ZZ
Amazon domain:amazon.com
Max results per search URI:100
Proxy country:auto
Device:mobile

Output fields

Query
Image
Position
Asin
Title
Brand
Currency
Price
List Price
Coupon Price
Coupon Type
Coupon Price
Highlighted Coupon Text
Best Seller
Deal
Deal Badge
Status Badge
Stars
Review Count
Bought in Past Month
Sponsored
Prime
Link
Page
Message
Crawled At

How it works

Sign up on Apify or log in

The Amazon Search Scraper Actor is ready to run with the inputs already set for "Amazon Similar Products Scraper | MLT Search". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Amazon Similar Products Scraper | MLT Search" task

The Amazon Search Scraper Actor will start running based on the input automatically. You can also change all the input fields, like search uris, amazon domain, and more, to match your specific use case.

Receive the "Amazon Similar Products Scraper | MLT Search" 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 query, image, position, 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 Similar Products Scraper | MLT Search" task via API.

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Integrate "Amazon Similar Products Scraper | MLT Search" into your workflow

Connect "Amazon Similar Products Scraper | MLT Search" with 100+ integrations, or run it via API or MCP.

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