Vinted Scraper - Search, Category & Seller Listings
Pricing
from $0.50 / 1,000 products
Vinted Scraper - Search, Category & Seller Listings
Scrape Vinted listings from search, category, or seller profile URLs: title, price, photos, brand, condition, size, seller info, and fees. Export JSON, CSV, Excel.
Pricing
from $0.50 / 1,000 products
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ParseBird
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3 days ago
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Vinted Scraper - Search, Category & Seller Listings
Vinted Scraper extracts product listings from Vinted using search URLs, category URLs, or seller profile URLs: title, price, photos, brand, condition, size, seller info, favourites, views, and fees.
| Paste a Vinted search, category, or seller profile link and get every listing back as structured data — including full photo sets, seller details, service fees, and total buyer price. |
Copy to your AI assistant
Copy this block into ChatGPT, Claude, Cursor, or any LLM to start using this actor.
parsebird/vinted-scraper on Apify. Call: ApifyClient("TOKEN").actor("parsebird/vinted-scraper").call(run_input={"startUrls":[{"url":"https://www.vinted.com/catalog?search_text=iphones"}],"maxProducts":50}), then client.dataset(run["defaultDatasetId"]).list_items().items for results. Key inputs: startUrls (array of {"url":...} objects — Vinted search URLs like vinted.com/catalog?search_text=..., category URLs like vinted.com/catalog/1037-outerwear, or seller profile URLs like vinted.com/member/12345678), maxProducts (integer, default 100, 0 = unlimited). Any Vinted country domain works (vinted.com, vinted.co.uk, vinted.de, etc.) and search filter params (brand_ids[], price_from, size_ids[], status_ids[]) pasted into a search URL are forwarded automatically. Output fields include title, price, photos, brand_title, status, size_title, user, favourite_count, view_count, service_fee, total_item_price, url, and id. Full actor spec: GET https://api.apify.com/v2/acts/parsebird~vinted-scraper (Bearer TOKEN). Get token: https://console.apify.com/account/integrations
What is Vinted Scraper?
Vinted Scraper is an Apify Actor for extracting structured listing data from Vinted, the second-hand fashion marketplace. Give it a search URL, a category URL, or a seller profile URL and it returns every matching product as a clean JSON row — no manual copy-pasting required.
Use it as a Vinted API alternative, a Vinted price tracker, or a repeatable data pipeline for resale research, brand monitoring, or inventory sourcing. Results download as JSON, CSV, Excel, XML, or HTML, or you can fetch them programmatically through the Apify API.
What can Vinted Scraper do?
- 🔎 Scrape keyword search results, including any filter already applied to the URL (brand, price range, size, condition, color)
- 📂 Scrape category listings from any Vinted catalog page
- 👤 Scrape a seller's entire wardrobe from their profile URL
- 🌍 Works across any Vinted country domain — vinted.com, vinted.co.uk, vinted.de, vinted.fr, and more
- 📸 Returns full photo sets with all thumbnail sizes, not just the main image
- 💶 Returns item price, service fee, and total buyer price separately
- ⚙️ Run on demand, schedule recurring runs, or connect results to Apify integrations like Google Sheets, Zapier, Make, and webhooks
- 📤 Export data in JSON, CSV, Excel, XML, RSS, or HTML from the Apify dataset
What data can you extract from Vinted?
| Field | Type | Description |
|---|---|---|
title | string | Product title |
price | object | Current price with amount and currency_code |
photos | array | All product images with every thumbnail size |
brand_title | string | Brand name |
status | string | Product condition (e.g. "Very good") |
size_title | string | Size information |
user | object | Seller info — username, profile URL, photo, business status |
favourite_count | number | Number of likes/favourites |
view_count | number | Product view count |
service_fee | object | Buyer protection fee amount and currency |
total_item_price | object | Total price including fees |
url | string | Direct link to the listing |
id | number | Unique product ID |
Input parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
startUrls | array of URLs | Yes | — | Vinted search, category, or seller profile URLs |
maxProducts | integer | No | 100 | Maximum products to scrape across all start URLs. 0 = unlimited |
Search URLs:
https://www.vinted.com/catalog?search_text=vintage+jackethttps://www.vinted.com/catalog?search_text=adidas&brand_ids[]=53
Category URLs:
https://www.vinted.com/catalog/1037-outerwearhttps://www.vinted.co.uk/catalog/10-dresses
Seller profiles:
https://www.vinted.com/member/12345678
Example input:
{"maxProducts": 50,"startUrls": [{ "url": "https://www.vinted.com/catalog?search_text=iphones" }]}
Output example
{"id": 8567830076,"title": "iPhone 11 64gb,82 battery capacity","price": { "amount": "60.0", "currency_code": "USD" },"brand_title": "Apple","status": "Good","size_title": "","user": {"id": 3146552798,"login": "landons20","profile_url": "https://www.vinted.com/member/3146552798-landons20","business": false},"favourite_count": 4,"view_count": 0,"service_fee": { "amount": "3.7", "currency_code": "USD" },"total_item_price": { "amount": "63.7", "currency_code": "USD" },"url": "https://www.vinted.com/items/8567830076-iphone-11-64gb82-battery-capacity","content_source": "catalog","photos": [{ "id": 36052542004, "is_main": true, "url": "https://images1.vinted.net/t/04_02481.../f800/1775351472.jpeg" }]}
Download in JSON, HTML, CSV, or Excel from the dataset page, or fetch rows programmatically through the API.
How to scrape Vinted listings
- Open Vinted Scraper on Apify and click Try for free.
- Go to Vinted, run your search or open a category/seller page, and copy the URL.
- Paste it into
startUrlsand setmaxProducts. - Start the run and wait for the dataset to populate — most runs finish in seconds to a few minutes.
- Download results as JSON, CSV, Excel, HTML, XML, or RSS.
- Automate it with Apify scheduling, integrations, or the Apify API.
How to use the Vinted API in Python
from apify_client import ApifyClientclient = ApifyClient("YOUR_APIFY_TOKEN")run = client.actor("parsebird/vinted-scraper").call(run_input={"startUrls": [{"url": "https://www.vinted.com/catalog?search_text=vintage+jacket"}],"maxProducts": 100,})items = client.dataset(run["defaultDatasetId"]).list_items().itemsprint(items[:2])
How to use the Vinted API in JavaScript
import { ApifyClient } from 'apify-client';const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });const run = await client.actor('parsebird/vinted-scraper').call({startUrls: [{ url: 'https://www.vinted.com/member/12345678' }],maxProducts: 50,});const { items } = await client.dataset(run.defaultDatasetId).listItems();console.log(items);
Use cases
- Resale research — Track prices for a specific model or brand across active listings
- Sourcing — Monitor category pages for new low-priced inventory to resell
- Seller monitoring — Track a competitor or supplier's entire active wardrobe
- Brand analytics — Aggregate condition, pricing, and demand (favourites/views) by brand
- Price alerts — Schedule recurring runs and diff results to catch new listings or price drops
How it works
- Classifies each start URL as a keyword search, a category page, or a seller profile
- Opens a lightweight session on the matching Vinted country domain to obtain the cookies its own web app uses
- Forwards every filter already present in a search or category URL (brand, price, size, status, and more) straight to Vinted's catalog API
- Paginates through results automatically, refreshing the session if it expires mid-run
- Pushes normalized product rows to the dataset and stops once
maxProductsor your spending limit is reached
How much does it cost to scrape Vinted?
Vinted Scraper uses pay-per-event pricing — you pay per product returned, not per underlying API call.
| Event | Price per event | Price per 1,000 |
|---|---|---|
product-scraped | $0.002 (Free) / $0.0015 (Bronze) / $0.001 (Silver) / $0.0005 (Gold) | $2.00 / $1.50 / $1.00 / $0.50 |
Scraping 50 products from a keyword search costs about $0.10 on the Free plan. Apify's free trial credits cover typical test runs.
Is it legal to scrape Vinted?
Vinted Scraper extracts publicly available listing data from the same catalog and profile endpoints Vinted's own website uses to render search results and seller pages. Scraping publicly accessible data is generally lawful, but you're responsible for how you use the results — always review Vinted's Terms of Service and Apify's guide on the legality of web scraping before running large or automated workloads.
Related marketplace scrapers
| Actor | Best for |
|---|---|
| eBay Sold Listings Scraper | Historical sold-item prices on eBay |
| Craigslist Scraper | Local classifieds and marketplace listings |
| MercadoLibre Scraper | Latin American e-commerce listings |
FAQ
Do I need a Vinted account or API key? No. This actor uses the same public catalog and profile endpoints Vinted's own website calls, using a lightweight anonymous session — no login required.
Can I use filters like price range, size, or condition?
Yes. Apply the filters on vinted.com itself, copy the resulting search URL (with all its query parameters), and paste it into startUrls. Every filter in the URL is forwarded to Vinted automatically.
Does this work on Vinted sites outside the US? Yes. The actor detects the domain in each start URL and scrapes that country's Vinted site directly — vinted.co.uk, vinted.de, vinted.fr, and others all work the same way.
Why did my search return fewer than maxProducts results?
Vinted caps how many results a single search or category query returns (typically under 1,000 items). Narrow the search or split it into multiple startUrls to collect more.
What happens if I paste an old-style or unrecognized Vinted URL? The actor falls back to a keyword search built from the URL's last path segment and logs a warning, rather than failing the run.
Can I schedule recurring runs? Yes. Use Apify scheduling to run daily, hourly, or at any interval, then connect the dataset to integrations or webhooks.
How do I report a problem or request a field? Open an issue from the Actor page in Apify Console and include the run ID, input, and the start URL that needs review.