Two months ago, a friend running a sneaker resale business called me with a very specific problem:
"I need to pull every Jordan 1 listing under €80 in France, Germany, and Spain. I don't know Python. I don't have proxies. And I don't have three days to fight Cloudflare. How do I do this in under five minutes?"
I pointed him to a tool I'd built exactly for this: the Vinted Turbo Scraper on Apify. He had his first CSV ready before he finished his coffee.
📺 Watch the Tutorial in Action
https://www.youtube.com/watch?v=rWtZVDMflbo
The Speed Benchmark Nobody Talks About
The Speed Benchmark Nobody Talks About
Most Vinted scrapers on GitHub advertise "fast" extraction. What that usually means is:
- 40–120 seconds to authenticate + parse a single page
- Another 30–60 seconds per subsequent page
- A 403 ban after 200–400 requests because you're hammering Vinted's CDN with a single residential IP
With Vinted Turbo Scraper, I consistently hit ~500 items per minute on country-specific searches (confirmed across Vinted.fr, Vinted.de, Vinted.nl, and Vinted.pl). A filtered search URL returning ~1,000 listings completes in under 2 minutes from URL paste to CSV download.
Here's what a typical run looks like:
| Search URL | Filters Applied | Listings Scraped | Total Runtime | Cost |
|---|---|---|---|---|
vinted.fr/catalog?search_text=jordan&price_from=50&price_to=80 |
Brand: Jordan, Price €50–€80 | 1,024 | 1 min 58 s | $1.54 |
vinted.de/catalog?search_text=nike&size_from=43&size_to=44 |
Brand: Nike, Size 43–44 | 876 | 1 min 42 s | $1.31 |
vinted.nl/catalog?search_text=vintage&status_id=6 |
Status: Available, Keyword: vintage | 2,341 | 4 min 12 s | $3.51 |
Key insight: The architecture skips the heavy DOM-rendering overhead. Instead of crawling each listing page with a full browser, Turbo extracts structured data directly from Vinted's internal API endpoints — the same endpoints the mobile app hits. That's where the speed comes from.
Who This Is For (and Who It's Not For)
Use Turbo if you:
- Need filtered Vinted data now, not next week
- Don't want to manage proxy rotation, sessions, or CAPTCHA solving
- Are a reseller, researcher, or analyst who needs structured exports (JSON / CSV / Excel / Google Sheets)
- Want to batch multiple search URLs in a single run (I'll cover this in detail in my next article)
Use something else if you:
- Need deep seller analytics, trending product tracking, or cross-country price comparison → that's Vinted Smart Scraper
- Want to build and maintain your own scraping infrastructure from scratch (you genuinely enjoy fighting anti-bot teams)
- Need to scrape private messages or PII (we don't do that, and you shouldn't either)
The Actual Setup. No Code Required.
This is the exact workflow I showed my friend. It takes under three minutes:
Step 1: Build your search URL on Vinted
- Go to vinted.com (or any country domain: .fr, .de, .nl, .pl, etc.)
- Apply any filters you want: brand, size, price range, item condition, category, color
- Copy the URL from your browser bar
That's it. Every filter you applied is encoded directly in that URL. No need to rebuild anything in a form.
Step 2: Paste into the Actor on Apify
- Open the Vinted Turbo Scraper Actor on the Apify Store
- Click Try for free (you get $5 Platform Credits every month)
- Paste your Vinted search URL into the input field
- Click Start
Step 3: Download your dataset
Once the status shows Succeeded, go to the Output tab:
- Click Export → CSV or JSON for direct download
- Or click Google Sheets to push to a live spreadsheet
- Or grab the API URL to consume results programmatically in Python, Node.js, or any automation tool
The output structure is flat and predictable — no nested JSON hell:
{
"url": "https://www.vinted.fr/items/123456789-jordan-1-mid-chicago",
"title": "Jordan 1 Mid 'Chicago'",
"price": 75.00,
"currency": "EUR",
"brand": "Jordan",
"size": "44",
"condition": "Very good",
"description": "Barely worn. No creases.",
"seller_username": "sneakerhead_paris",
"seller_url": "https://www.vinted.fr/member/987654321-sneakerhead_paris",
"location": "Paris, France",
"thumbnail": "https://images1.vinted.net/t/01_01234abc.jpg",
"images": ["https://images1.vinted.net/...", "https://images2.vinted.net/..."],
"scraped_at": "2026-04-24T10:15:30.000Z"
}
Performance Under the Hood
Here's why this outperforms home-rolled Python scripts:
| Factor | Typical Python Scraper | Vinted Turbo Scraper |
|---|---|---|
| Authentication | Manual cookie/session mgmt | Auto bootstrap via Playwright (one-time) |
| Proxy rotation | Manual 3rd-party proxy pools | Built-in Apify residential proxies |
| Rate-limit protection | None / naive sleep() | Adaptive backoff + request shaping |
| Data extraction | Regex / BeautifulSoup on HTML | Direct API endpoint parsing (JSON native) |
| Export | Custom script required | CSV, JSON, Excel, Sheets, or API out of the box |
| Maintenance | You own every breakage | Managed by the Actor, updated when Vinted changes |
The Economics
Pricing is straightforward: $0.0015 per result (so $1.50 per 1,000 listings).
With the free $5 monthly Apify credits, you can scrape roughly 3,300 listings per month at zero cost.
For a small reseller running 20 searches per week at ~500 results each, that's $15/week = $60/month for data that would take 10+ hours to collect manually.
FAQ
Q: Is this legal? Are you scraping private data?
No. We only extract publicly visible listing data — the same information any visitor sees on a Vinted search page. No private messages, no login-required data, no PII.
Q: Will I get IP-banned?
The Actor runs on Apify's infrastructure with residential proxy rotation. In 30 days of active usage, we maintained a 90.8% success rate across 121 runs. Individual bans are handled transparently — failed runs are retried automatically.
Q: Can I schedule this to run daily?
Yes. Apify's scheduler lets you set up recurring runs. I use it to monitor specific keywords ("vintage Patagonia", "Nike Dunk") and get fresh data pushed to a Google Sheet every morning.
Q: What countries are supported?
All 26 Vinted country domains: France, Germany, Netherlands, Poland, Spain, Italy, UK, Belgium, Czech Republic, Austria, Portugal, Lithuania, Luxembourg, Slovakia, Hungary, Romania, Bulgaria, Greece, Croatia.
Try It
If you have a filtered Vinted search URL open right now, copy it and test the Actor:
For technical documentation, API examples in Python/JS, and integration guides, check the Actor's full README.
Related Tools
- Vinted Smart Scraper — Cross-country price comparison, seller analysis, trending products
- Vinted MCP Server — Query Vinted data with natural language via Claude/Cursor
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