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Collect Etsy reviews + shop ratings at scale

Collect Etsy reviews + shop ratings for every listing in a niche — one CSV. Built for vendor research. How to filter for 4-star+ shops?

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Etsy Search Scraper 2026
Etsy Search Scraper 2026devcake/etsy-search-scraper
Listing ID
Primary image
Title (search)
Title (detail)
+27 fields
Text
Number
Boolean
List
Object

Input

Search Queries(required):personalized jewelry
Maximum Results:300
Enrich with Full Product Details (PDP):true

Output fields

Listing ID
Primary image
Title (search)
Title (detail)
Description
Price (numeric)
Discounted price
Currency
Shop name
Shop location
Shop sales
Shop rating
Shop review count
Listing rating
Listing review count
Available
Sold out
Bestseller
Top rated
Quantity available
Ships from
Tags
Materials
When made
Category
Shop section
Has variations
Favorites
Image gallery
Videos
Listing URL

How it works

Sign up on Apify or log in

The Etsy Search Scraper 2026 Actor is ready to run with the inputs already set for "Collect Etsy reviews + shop ratings at scale". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Collect Etsy reviews + shop ratings at scale" task

The Etsy Search Scraper 2026 Actor will start running based on the input automatically. You can also change all the input fields, like search queries, maximum results, and more, to match your specific use case.

Receive the "Collect Etsy reviews + shop ratings at scale" 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 listing id, primary image, title (search), 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 "Collect Etsy reviews + shop ratings at scale" task via API.

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Integrate "Collect Etsy reviews + shop ratings at scale" into your workflow

Connect "Collect Etsy reviews + shop ratings at scale" with 100+ integrations, or run it via API or MCP.

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