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Build a structured Etsy listing corpus from search queries

Gather public Etsy search results into a clean dataset with listing IDs, canonical URLs, titles, shop metadata, and optional snippets.

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Etsy Listings Scraper - Search Results & URLs
Etsy Listings Scraper - Search Results & URLskhadinakbar/etsy-listings-scraper
Listing URL
Listing title
Indexed shop name
Indexed rating
+4 fields
Text
Number
Boolean
List
Object

Input

Etsy search queries(required):personalized gift+1
Maximum listings:20
Maximum index pages per query:2
Response format:detailed
Deduplicate listings across queries:true

Output fields

Listing URL
Listing title
Indexed shop name
Indexed rating
Indexed review count
Source query
Result position
Scraped at

How it works

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The Etsy Listings Scraper - Search Results & URLs Actor is ready to run with the inputs already set for "Build a structured Etsy listing corpus from search queries". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Build a structured Etsy listing corpus from search queries" task

The Etsy Listings Scraper - Search Results & URLs Actor will start running based on the input automatically. You can also change all the input fields, like etsy search queries, maximum listings, and more, to match your specific use case.

Receive the "Build a structured Etsy listing corpus from search queries" 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 url, listing title, indexed shop name, 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 structured Etsy listing corpus from search queries" task via API.

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