Vinted closets like the ones you already buy from
Give it the sellers you buy from — ids, profile URLs or usernames, one or hundreds — and back come the closets most like them. Half the score is what they sell (garment, material, era, colour, wording), half is the brand overlap, each weighted by rarity: a shared Zara counts for little, a shared Anine Bing for a lot. similarity and shared_brands say why. Your own sellers are never returned.
Input
Output fields
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The Vinted Sellers Database — Brands, Sold Prices, Pro Shops Actor is ready to run with the inputs already set for "Vinted closets like the ones you already buy from". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Vinted closets like the ones you already buy from" task
The Vinted Sellers Database — Brands, Sold Prices, Pro Shops Actor will start running based on the input automatically. You can also change all the input fields, like closets like these, minimum followers, and more, to match your specific use case.
Receive the "Vinted closets like the ones you already buy from" 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 member id, username, profile, and more.
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The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Vinted closets like the ones you already buy from" task via API.
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Connect "Vinted closets like the ones you already buy from" with 100+ integrations, or run it via API or MCP.
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