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Compare sneaker prices across Vinted France and Germany

Scrape sneaker listings from vinted.fr and vinted.de in one run. Prices come back as numbers with currency codes, so you can spot which country sells cheaper.

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Vinted Products Crawler
Vinted Products Crawleralkausari_mujahid/vinted-products-crawler
Item ID
Title
Price
Price (number)
+25 fields
Text
Number
Boolean
List
Object

Input

Start URLs(required)
url:https://www.vinted.fr/catalog?catalog[]=1231&order=newest_first&brand_ids[]=45961&page=1&time=1786389589+1
Start Page:1
End Page:2

Output fields

Item ID
Title
Price
Price (number)
Currency
Total Price
Size
Condition
Brand
Colour
Description
Material
Measurements
Uploaded
Favorites
Shipping
Free Shipping
Seller
Seller Rating
Rating Count
Seller Badges
Seller Location
Last Seen
Seller Profile
Brand URL
Images
URL
Domain
Scraped At

How it works

Sign up on Apify or log in

The Vinted Products Crawler Actor is ready to run with the inputs already set for "Compare sneaker prices across Vinted France and Germany". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Compare sneaker prices across Vinted France and Germany" task

The Vinted Products Crawler Actor will start running based on the input automatically. You can also change all the input fields, like start urls, start page, and more, to match your specific use case.

Receive the "Compare sneaker prices across Vinted France and Germany" 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 item id, title, price, 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 "Compare sneaker prices across Vinted France and Germany" task via API.

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Integrate "Compare sneaker prices across Vinted France and Germany" into your workflow

Connect "Compare sneaker prices across Vinted France and Germany" with 100+ integrations, or run it via API or MCP.

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