⚡ Vinted Turbo Scraper avatar

⚡ Vinted Turbo Scraper

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from $3.50 / 1,000 results

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⚡ Vinted Turbo Scraper

⚡ Vinted Turbo Scraper

Scrape Vinted listings from one or multiple Vinted search URLs. Paste a filtered URL, run the actor, and export structured listing data to JSON, CSV, Excel, Sheets, or your automation workflows.

Pricing

from $3.50 / 1,000 results

Rating

5.0

(1)

Developer

KazKN

KazKN

Maintained by Community

Actor stats

2

Bookmarked

230

Total users

16

Monthly active users

6 days ago

Last modified

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Vinted Turbo Scraper — Export Vinted Listings from Search URLs

Paste a filtered Vinted search URL. Get structured listings ready for CSV, Excel, JSON, Google Sheets, or API workflows.

Single or batch URL mode. Keep the filters you already set on Vinted, then choose the maximum number of listings to extract.

A filtered Vinted search URL transformed into structured listing data by Vinted Turbo Scraper

Built for resellers, marketplace researchers, analysts, and automation builders. Turn filtered Vinted searches into exportable listing datasets without rebuilding the filters in another form.

KazKN · Data intelligence suite   •  Vinted data, marketplace intelligence, CRE listings, Shopify research
Vinted Turbo Scraper  Vinted Turbo
➤ You are here
Vinted Smart Scraper  Vinted Smart
Arbitrage + monitoring across 26 markets
CRE Intelligence  CRE Intelligence
LoopNet + Crexi market data
Shopify Apps Spy  Shopify Apps Spy
Products, reviews + installed apps

Copy to your AI assistant

Use kazkn/vinted-turbo-scraper on Apify to turn one or multiple filtered Vinted search URLs into structured listing records. The Actor keeps the filters encoded in each URL and can return listing IDs, titles, URLs, prices and currencies, original prices, brands, sizes, conditions, colors, photo URLs, favourite and view counts, sold status, seller identifiers and profile URLs, and timestamps when Vinted provides them. Set maxItems to cap the number of results across the run. Use the residential Apify Proxy configuration exposed by the input schema.
{
"startUrls": "https://www.vinted.fr/catalog?search_text=nike+dunk&order=newest_first",
"maxItems": 100,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": ["RESIDENTIAL"]
}
}
from apify_client import ApifyClient
client = ApifyClient("TOKEN")
run_input = {
"startUrls": "https://www.vinted.fr/catalog?search_text=nike+dunk&order=newest_first",
"maxItems": 100,
"proxyConfiguration": {
"useApifyProxy": True,
"apifyProxyGroups": ["RESIDENTIAL"],
},
}
run = client.actor("kazkn/vinted-turbo-scraper").call(run_input=run_input)
items = client.dataset(run["defaultDatasetId"]).list_items().items
print(items)

Full specification: GET /v2/acts/kazkn~vinted-turbo-scraper/builds/default with Authorization: Bearer TOKEN → inspect inputSchema, actorDefinition.output, actorDefinition.storages.dataset, and readme.

Best for: filtered listing exports, reseller sourcing, marketplace research, price and catalog monitoring, dataset creation, CSV and Excel workflows, Google Sheets, and API automations.

Explore on Apify: Run Actor · Input · Output · Pricing · API · Examples · Support

🔍 What does ⚡ Vinted Turbo Scraper do?

⚡ Vinted Turbo Scraper turns one or multiple filtered Vinted search URLs into structured dataset records.

Instead of manually rebuilding filters inside an input form, you simply:

  • open a Vinted search page
  • apply filters directly on Vinted
  • copy the URL
  • paste it into the actor
  • export the results as JSON, CSV, or Excel

This URL-first workflow avoids rebuilding the same filters in a separate input form.

⚡ Vinted Turbo Scraper can scrape:

  • Item ID, title, and URL
  • Price, currency, and original price when available
  • Brand, brand ID, size, condition, and color when available
  • Listing photo URLs returned by Vinted
  • Favourite and view counts
  • Sold status (isSold)
  • Seller ID, username, and profile URL when available
  • Listing creation time when available and the scrape timestamp

🎯 Who Is This For?

  • 👟 Resellers who want direct listing extraction from filtered Vinted searches
  • 📊 Researchers and analysts building datasets from Vinted catalog pages
  • 🤖 Automation builders who want lightweight Vinted scraping in Apify workflows
  • 🏪 Operators monitoring categories, brands, sizes, or price ranges with minimal setup

⚡ Why Use Vinted Turbo Scraper?

  • Low-friction setup: paste a Vinted search URL instead of rebuilding its filters
  • 🔗 URL-native workflow: your filters already live inside the Vinted search URL
  • 📦 Structured export: JSON, CSV, or Excel-ready output
  • 🔁 Batch multiple URLs in one run
  • 🛠️ Reusable in monitoring workflows by rerunning the same filtered searches

💡 If you want seller analysis, sold-item research, trending, and cross-country arbitrage workflows, use Vinted Smart Scraper. If you want a direct search-URL-to-dataset workflow, use Turbo.

🎬 Video Tutorial — See It in Action

▶️ Watch the full tutorial — from search to export in under 2 minutes.

(🇫🇷 Tutoriel français)


📚 All Tutorials, Guides & Resources in One Place

👉 Vinted Turbo Scraper Resources Hub

Step-by-step articles, batch workflow guides, API docs, and video tutorials — everything you need to get the most out of this actor.


📈 Why scrape Vinted?

Vinted is a major secondhand marketplace with searchable listings across fashion, sneakers, gaming, home items, and more.

When Vinted search results are accessible, repeated exports can help you:

  • compare listing snapshots over time
  • build filtered resale datasets
  • track category pricing
  • watch competitors
  • automate product discovery workflows
  • export structured Vinted data into your own tools

Here are just some of the ways you could use Vinted data:

  • Monitor secondhand market trends and pricing across Vinted markets
  • Track changes in competitor listings and availability through repeated or scheduled runs
  • Build datasets for machine learning and AI models
  • Analyze resale value by brand, size, and condition
  • Research pricing strategies across categories
  • Automate deal-hunting across multiple searches within one run

For more ideas on using marketplace data, explore Apify's e-commerce scrapers and web scraping guide.


🚀 How to scrape Vinted in 3 steps

Scraping Vinted with ⚡ Vinted Turbo Scraper requires a search URL, the desired result limit, and a proxy configuration:

  1. Go to Vinted, apply your filters (brand, size, condition, price…) and copy the search URL directly from your browser
  2. Paste one or multiple Vinted search URLs, one per line, into the input field and set the number of items you want
  3. Click Run — then download your results from the Dataset tab as JSON, CSV, or Excel

💡 No manual filter configuration needed. Your Vinted search URL already encodes all your criteria — ⚡ Vinted Turbo Scraper reads and translates them automatically.

🧭 Choose the Right Vinted Tool

Use Vinted Turbo Scraper if you want:

  • a URL-first setup
  • URL-based scraping
  • lightweight listing extraction
  • repeated monitoring of filtered Vinted searches

Use Vinted Smart Scraper if you want:

  • cross-country price comparison
  • seller profile analysis
  • sold items research
  • trending discovery
  • a richer Vinted intelligence workflow

Input format

{
"maxItems": 100,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": ["RESIDENTIAL"]
},
"startUrls": "https://www.vinted.co.uk/catalog?catalog[]=1844&size_ids[]=2&brand_ids[]=10&status_ids[]=6&color_ids[]=1&price_from=20&price_to=30&currency=GBP&order=price_low_to_high"
}

💡 Pro tip: startUrls is a text field. Paste one Vinted search URL per line to process multiple URLs in a single run.


💰 Pricing

⚡ Vinted Turbo Scraper currently uses Apify's Pay per event pricing model:

  • Result: $0.0035 per listing pushed to the default dataset, or $3.50 per 1,000 results
  • Actor start: $0.04 per GB of memory, charged once when a run starts (minimum one event)
  • The current Store default is 2 GB, so the start charge is $0.08 per run before result charges

Approximate totals for a run using the current 2 GB default and returning exactly the stated number of listings:

ResultsEstimated total
25$0.17
100$0.43
500$1.83
1,000$3.58

Prices and default memory can change. Check the live Actor Pricing tab before running; your Apify platform credits may offset these charges.

📚 What Data Can You Extract from a Vinted Search URL?

Depending on the listings returned by your Vinted search URL, the actor can extract:

  • item ID, title, and URL
  • price, currency, and original price when available
  • brand and brand ID when available
  • size, condition, and color when available
  • listing photo URLs
  • favourite and view counts
  • sold status (isSold)
  • seller ID, username, and profile URL when available
  • listing creation time when available and scrape timestamp

This makes the actor useful for catalog monitoring, export pipelines, resale research, and lightweight Vinted API-style workflows.


📦 Output format

The actor returns fully structured JSON data for each listing.

Overview output (lightweight)

[
{
"title": "Levi black skinny jeans 33\" waist",
"url": "https://www.vinted.co.uk/items/8464268321-levi-black-skinny-jeans-33-waist"
},
{
"title": "Levi's jeans",
"url": "https://www.vinted.co.uk/items/8356850946-levis-jeans"
}
]

Full output (all fields)

[
{
"id": 8464268321,
"title": "Levi black skinny jeans 33\" waist",
"url": "https://www.vinted.co.uk/items/8464268321-levi-black-skinny-jeans-33-waist",
"price": 20,
"currency": "GBP",
"originalPrice": null,
"brand": "Levi's",
"brandId": 10,
"size": "M / UK 12-14",
"condition": "New with tags",
"color": null,
"photos": [
"https://images1.vinted.net/t/06_00963_.../f800/1774262535.jpeg",
"https://images1.vinted.net/tc/06_00963_.../1774262535.jpeg"
],
"favouriteCount": 1,
"viewCount": 0,
"isSold": false,
"seller": {
"id": 73959532,
"username": "maxi83199",
"profileUrl": "https://www.vinted.co.uk/member/73959532-maxi83199"
},
"createdAt": null,
"scrapedAt": "2026-03-24T10:25:41.604Z"
}
]

💡 Tips for scraping Vinted efficiently

  • Paste your Vinted search URL directly — its filters are already encoded in it, so no separate filter fields are needed
  • Batch multiple URLs in a single run to maximize efficiency
  • Run the same searches with Apify Schedules and compare datasets to identify newly observed listings
  • Combine with Apify integrations to push results directly to Google Sheets, Airtable, Slack, or any webhook

🌍 Supported Vinted Markets and Domains

⚡ Vinted Turbo Scraper is designed to accept search URLs from the Vinted domains below. Availability can vary by market and current Vinted or proxy access conditions:

vinted.fr · vinted.de · vinted.co.uk · vinted.it · vinted.es · vinted.nl · vinted.pl · vinted.pt · vinted.be · vinted.at · vinted.lt · vinted.cz · vinted.sk · vinted.hu · vinted.ro · vinted.hr · vinted.fi · vinted.dk · vinted.se · vinted.ee · vinted.gr · vinted.ie · vinted.lu · vinted.lv · vinted.si · vinted.com

🔗 Part of the KazKN Vinted Ecosystem

❓ Frequently Asked Questions

What is the difference between Vinted Turbo Scraper and Vinted Smart Scraper?

Use Turbo for a direct URL-to-dataset workflow. Use Smart for cross-country comparison, seller analysis, sold-item research, trending, and richer research workflows.

Is this a Vinted API?

This Actor exposes Vinted search results through Apify datasets and API endpoints. It is a third-party scraper, not an official Vinted API.

What is the best way to use this actor?

Open Vinted, apply your filters, copy the resulting search URL, paste it into the Actor, and export the resulting dataset.

Can I batch multiple Vinted URLs?

Yes. Paste one Vinted search URL per line in the startUrls text field to process them in a single run.

Can I automate this with Apify integrations?

Yes. You can send results to webhooks, Google Sheets, Airtable, Slack, Make, Zapier, or your own backend.

Note that personal data is protected by GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure, consult your lawyers. We also recommend reading: Is web scraping legal?