Vinted Turbo Scraper
Fastest Vinted scraper: copy URL → CSV/JSON in seconds
Hey Indie Hackers! 👋
I got tired of manually rebuilding search filters in clunky forms every time I needed to scrape Vinted. So, I built Vinted Turbo Scraper on Apify to skip the setup entirely.
The workflow is instant:
Apply your filters directly on Vinted.com
Copy the URL
Paste it into the scraper to get a clean JSON/CSV export (prices, seller info, HD photos).
No manual config. Just copy, paste, and get data. It's perfect for resellers, market researchers, and automation builders.
It operates on a pay-per-result model ($1.50/1k items) and you can test it for free with Apify’s $5/month credits.
🔗 Link: https://apify.com/kazkn/vinted-turbo-scraper
Would love your feedback! Happy to answer any questions about scraping marketplaces or building Apify actors in the comments. 🚀
3 Comments
This is a brilliant and friction-free workflow! Copy-pasting the raw marketplace search URL completely bypasses the headache of building complex UI filters on the scraper side. Nice work on the Apify Actor!
As a fellow Python and automation developer who builds custom scrapers, I know Vinted can be absolute hell when it comes to anti-bot protections and rate-limiting. They constantly tweak their fingerprints and block residential proxies.
How are you managing the fingerprint rotation and proxy costs behind the scenes to keep the pay-per-result model profitable at $1.50/1k items? Are you relying on Apify's smart proxies or routing through a custom middleware?
Upvoted! Definitely saving this actor for marketplace research workflows. Let's connect!
Thanks a lot, really appreciate it! 🙌
Exactly, the goal was to keep the workflow as close as possible to how people already use Vinted: build the search directly on Vinted, copy the raw URL, paste it into the Actor, and get structured results without rebuilding all the filters manually.
And yes, Vinted is definitely one of the more painful marketplaces to scrape. The main focus behind the scenes is keeping requests efficient, avoiding unnecessary retries, and making the actor stable enough for research workflows without overcomplicating the user experience.
For the proxy/fingerprint side, I’m currently keeping the implementation flexible and continuously monitoring success rates, cost per run, and blocking patterns so the pricing stays sustainable.
Really appreciate the upvote — and yes, happy to connect! Always great to meet other Python/automation builders working on scraping infrastructure.
This is the way to do it. You’re solving the "UI-to-Data" friction perfectly making the user's existing habits the workflow is why these tools stick.
Handling Vinted’s anti-scraping is no small feat. Monitoring those success/block metrics vs. proxy costs is essentially the "real" product once the base scraper is done. I'm building similar automation pipelines, so I definitely respect the infrastructure grind.
Keep pushing the build would love to trade notes on the proxy/fingerprint side sometime if you're open to it.