# Vinted Marketplace Scraper (`silentflow/vinted-scraper-ppr`) Actor
Scrape Vinted marketplace with pay-per-result pricing. Extract product listings, prices, seller info & images. Search by keywords, brand, size, price range. All Vinted countries supported (FR, DE, UK, ES, IT, PL). Cost-effective solution for market research.
- **URL**: https://apify.com/silentflow/vinted-scraper-ppr.md
- **Developed by:** [SilentFlow](https://apify.com/silentflow) (community)
- **Categories:** E-commerce, Other, Developer tools
- **Features:** Limited permissions
- **Stats:** 47 total users, 1 monthly users, 100.0% runs succeeded, 2 bookmarks
- **User rating**: No ratings yet
## Pricing
from $0.90 / 1,000 results
This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event
## What's an Apify Actor?
An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.
## How to integrate an Actor?
If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.
For examples already wired to this Actor's own input schema, see the [API](#api) section below.
Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).
# README
## 👗 Vinted Scraper (Pay Per Result)
**🇬🇧 English** | [🇫🇷 Français](#-vinted-scraper-pay-per-result-français)
> 💰 **Pay Per Result** - You only pay for the results you get. No monthly fees!
***
### What is Vinted Scraper?
Vinted Scraper allows you to **extract product listings from Vinted** - Europe's largest second-hand fashion marketplace. Whether you're looking for clothes, shoes, bags, or accessories, this tool helps you collect all the information you need.
Perfect for:
- 🛍️ **Resellers** - Find the best deals to resell
- 📊 **Market research** - Analyze prices and trends
- 🔔 **Price monitoring** - Track specific items or brands
- 📈 **Data analysis** - Build datasets for your projects
***
### What can you search for?
| Search option | Examples |
|--------------|----------|
| **Keywords** | "Nike Air Max", "Chanel bag", "Levi's jeans" |
| **Brands** | Nike, Adidas, Zara, H\&M, Louis Vuitton, Gucci |
| **Categories** | Women, Men, Kids, Home, Accessories |
| **Price range** | From 5€ to 50€, From 100€ to 500€ |
| **Condition** | New with tags, New, Very good, Good, Satisfactory |
| **Size** | XS, S, M, L, XL, 38, 40, 42... |
| **Colors** | Black, White, Blue, Red, etc. |
***
### What information do you get?
For each product found, you receive:
| Information | Description |
|-------------|-------------|
| 📝 **Title** | Product name |
| 💰 **Price** | Current price in euros |
| 🏷️ **Brand** | Brand name (Nike, Zara, etc.) |
| 📏 **Size** | Size of the item |
| ✨ **Condition** | New, Very good, Good, etc. |
| 🎨 **Color** | Main color |
| 📍 **Location** | Seller's city and country |
| 🖼️ **Photos** | All product images |
| ❤️ **Favorites** | Number of users who saved this item |
| 👤 **Seller info** | Name, rating, number of reviews |
| 🔗 **Link** | Direct URL to the product |
| 📅 **Date** | When the item was listed |
***
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**🏢 Business data**
- 
**Tencent** - [Tencent Scraper | Maps Places, Phones and Ratings](https://apify.com/silentflow/tencent-scraper)
- 
**LinkedIn Company Search** - [LinkedIn Company Search Scraper | Profiles & Firmographics](https://apify.com/silentflow/linkedin-profiles-companies-scraper)
- 
**LinkedIn People Search** - [LinkedIn People Search Scraper | Profiles & Companies](https://apify.com/silentflow/linkedin-profiles-companies-scraper-ppr)
- 
**Bilibili** - [Bilibili Scraper | Videos, Profiles, Comments, Danmaku](https://apify.com/silentflow/bilibili-scraper)
- 
**Ctrip** - [Ctrip Scraper | Attractions, Tickets and Reviews](https://apify.com/silentflow/ctrip-scraper)
- 
**LinkedIn Sales Navigator** - [LinkedIn Sales Navigator Scraper](https://apify.com/silentflow/linkedin-sales-navigator-scraper)
- 
**SoftwareAdvice** - [SoftwareAdvice Scraper | Reviews, Ratings and Pros & Cons](https://apify.com/silentflow/softwareadvice-scraper)
- 
**Teachable Course** - [Teachable Course Scraper](https://apify.com/silentflow/teachable-scraper)
- 
**Website Tech Stack** - [Website Tech Stack Scraper](https://apify.com/silentflow/website-tech-stack-scraper)
- 
**Zomato** - [Zomato Reviews Scraper | Restaurant Ratings and Replies](https://apify.com/silentflow/zomato-reviews-scraper)
- 
**2GIS** - [2GIS Reviews Scraper | Ratings, Photos and Owner Replies](https://apify.com/silentflow/2gis-reviews-scraper)
- 
**Teachable - Courses, Prices & Instructors** - [Teachable Scraper - Courses, Prices & Instructors](https://apify.com/silentflow/teachable-scraper-ppr)
- 
**Trustpilot** - [Trustpilot Scraper | Reviews, Ratings and Company Contacts](https://apify.com/silentflow/trustpilot-enricher)
**✈️ Travel**
- 
**Google Maps** - [Google Maps Scraper](https://apify.com/silentflow/google-maps-scraper)
- 
**Flight Price** - [Flight Price Scraper](https://apify.com/silentflow/flight-price-scraper)
- 
**Booking.com Hotel** - [Booking.com Hotel Scraper](https://apify.com/silentflow/booking-scraper-ppr)
- 
**Kakao** - [Kakao Scraper | Map Places, Reviews and Phones](https://apify.com/silentflow/kakao-scraper)
- 
**OpenTable** - [OpenTable Reviews Scraper | Restaurant Reviews and Ratings](https://apify.com/silentflow/opentable-reviews-scraper)
- 
**TheFork** - [TheFork Scraper | Restaurants, Menus and Ratings](https://apify.com/silentflow/thefork-scraper)
- 
**Trip** - [Trip Reviews Scraper | Hotel Reviews and Ratings](https://apify.com/silentflow/trip-reviews-scraper)
- 
**Booking** - [Booking Scraper | Hotel Prices, Photos, Availability](https://apify.com/silentflow/booking-scraper)
**🎯 Lead generation**
- 
**Northdata** - [Northdata Company Scraper](https://apify.com/silentflow/northdata-scraper)
- 
**ZocDoc** - [ZocDoc Scraper | Doctors, Reviews and Availability](https://apify.com/silentflow/zocdoc-scraper-ppr)
- 
**Dealroom** - [Dealroom Scraper | Companies and Investors](https://apify.com/silentflow/dealroom-scraper-ppe)
- 
**UK Companies House** - [UK Companies House Enricher](https://apify.com/silentflow/uk-companies-house-enricher)
- 
**CNPJ Brazilian** - [CNPJ Brazilian Company Enricher](https://apify.com/silentflow/cnpj-enricher)
- 
**Google Ads Transparency** - [Google Ads Transparency Scraper](https://apify.com/silentflow/google-ads-transparency-scraper)
- 
**Justdial** - [Justdial Companies Scraper | Business Leads, Phones and Emails](https://apify.com/silentflow/justdial-companies-scraper)
- 
**PagesJaunes** - [PagesJaunes Scraper | French Business Emails and SIRET](https://apify.com/silentflow/pagesjaunes-scraper)
- 
**BuiltWith** - [BuiltWith Scraper | Tech Stacks and Top Sites](https://apify.com/silentflow/builtwith-scraper)
- 
**Company Data** - [Company Data Scraper | Emails, Phones and Tech Stack](https://apify.com/silentflow/company-data-scraper)
- 
**Dealroom Startup Data** - [Dealroom Startup Data Scraper](https://apify.com/silentflow/dealroom-scraper)
- 
**Domain** - [Domain Enricher](https://apify.com/silentflow/domain-enricher)
- 
**French Company Prospector** - [French Company Prospector](https://apify.com/silentflow/french-company-prospector)
- 
**KVK** - [KVK Scraper | Dutch Companies and SBI Codes](https://apify.com/silentflow/kvk-scraper)
- 
**PagesJaunes** - [PagesJaunes Business Scraper](https://apify.com/silentflow/pagesjaunes-scraper-ppr)
- 
**SEC** - [SEC Scraper | EDGAR Filings and Company Data](https://apify.com/silentflow/sec-scraper)
- 
**SIRET** - [SIRET Company Enricher](https://apify.com/silentflow/siret-enricher-ppr)
- 
**SpyFu** - [SpyFu Scraper | SEO, PPC and Competitor Data](https://apify.com/silentflow/spyfu-scraper)
- 
**Sunbiz** - [Sunbiz Scraper | Florida Companies and Officers](https://apify.com/silentflow/sunbiz-scraper)
- 
**USPTO** - [USPTO Scraper | Trademark Search and Status](https://apify.com/silentflow/uspto-scraper)
- 
**Clutch** - [Clutch Scraper | Agencies, Reviews, Ratings, Services](https://apify.com/silentflow/clutch-scraper)
- 
**Clutch Agency** - [Clutch Agency Scraper](https://apify.com/silentflow/clutch-scraper-ppe)
- 
**G2** - [G2 Reviews Scraper](https://apify.com/silentflow/g2-review-intelligence)
- 
**SIRET French** - [SIRET French Company Enricher](https://apify.com/silentflow/siret-enricher)
- 
**ThomasNet Suppliers** - [ThomasNet Suppliers Scraper](https://apify.com/silentflow/thomasnet-scraper)
- 
**ZocDoc** - [ZocDoc Scraper](https://apify.com/silentflow/zocdoc-scraper)
**🔎 SEO**
- 
**Similarweb** - [Similarweb Scraper | Website Traffic, Rankings and Competitors](https://apify.com/silentflow/similarweb-scraper)
- 
**Apple** - [Apple Reviews Scraper | App Store Reviews and Ratings](https://apify.com/silentflow/apple-reviews-scraper)
- 
**Apple** - [Apple Scraper | App Store Apps, Ratings and Charts](https://apify.com/silentflow/apple-scraper)
- 
**Bing** - [Bing Enricher Scraper | Mobile Friendly Test and Indexing](https://apify.com/silentflow/bing-enricher-scraper)
- 
**Google News** - [Google News Scraper](https://apify.com/silentflow/google-news-scraper)
**📈 Marketing**
- 
**Douyin** - [Douyin Transcript Scraper | Subtitles and Speech to Text](https://apify.com/silentflow/douyin-transcript-scraper)
**🎬 Video**
- 
**Pexels** - [Pexels Scraper | Photos, Videos and Download Stats](https://apify.com/silentflow/pexels-scraper)
**📰 News**
- 
**ForexFactory** - [ForexFactory Scraper | Economic Calendar and Forecasts](https://apify.com/silentflow/forexfactory-scraper)
**🧰 More tools**
- 
**FanDuel** - [FanDuel Scraper | Odds, Spreads and Player Props](https://apify.com/silentflow/fanduel-scraper)
- 
**PrizePicks** - [PrizePicks Scraper | Player Props, Lines and Projections](https://apify.com/silentflow/prizepicks-scraper)
### Supported countries
| Country | Website |
|---------|---------|
| 🇫🇷 France | vinted.fr |
| 🇩🇪 Germany | vinted.de |
| 🇧🇪 Belgium | vinted.be |
| 🇳🇱 Netherlands | vinted.nl |
| 🇪🇸 Spain | vinted.es |
| 🇮🇹 Italy | vinted.it |
| 🇵🇱 Poland | vinted.pl |
| 🇵🇹 Portugal | vinted.pt |
| 🇱🇹 Lithuania | vinted.lt |
| 🇨🇿 Czech Republic | vinted.cz |
| 🇦🇹 Austria | vinted.at |
| 🇬🇧 United Kingdom | vinted.co.uk |
| 🇺🇸 USA | vinted.com |
***
### Two modes available
#### 🚀 Fast Mode (Default)
Quick extraction of basic information from search results. Perfect for large-scale data collection.
#### 🔍 Details Mode (Browse Mode)
Enable "Browse Mode" to get **complete information** for each product:
- ✅ Full description
- ✅ Exact price
- ✅ Product condition
- ✅ Category
- ✅ High-quality images
> 💡 Details Mode is slower but provides much more data. Use it when you need complete product information.
***
### How to use?
#### Option 1: Search with keywords
Type one keyword per line in the **Keywords** field:
- **Keywords**: `nike air max`, `levis 501`, `robe zara`
- **Country**: France
- **Max results**: 300
Each keyword runs as its own Vinted search, with your filters (category, brand, size, color, condition, price, sort) applied to all of them. Every row tells which keyword found it.
#### Option 2: Use a Vinted URL
1. Go to Vinted and make your search
2. Apply all your filters (brand, size, price, etc.)
3. Copy the URL from your browser
4. Paste it in the "Search URL" field
The scraper will use your exact search with all filters. A Vinted URL pasted in the "Search text" field works too: it is detected and used as a URL search.
***
### Input parameters
| Field | What it does | Example |
|-------|--------------|---------|
| 🔎 **Keywords** | One Vinted search per keyword, filters applied to each | `["nike air max", "levis 501"]` |
| 🔗 **Search URL** | A Vinted search URL, run exactly as you set it on Vinted | `https://www.vinted.fr/catalog?search_text=nike` |
| 🌍 **Country** | The Vinted site to search (France, Germany, UK, USA and 9 more) | `fr` |
| 🔢 **Max results** | Maximum number of listings for the whole run, shared between keywords | `300` |
| 🔍 **Search text** | A single search text, kept for existing setups | `nike` |
| **Category, Brand, Size, Color, Condition IDs** | Narrow every keyword search | `53` (Nike) |
| **Sort by** | Newest first, relevance, price low to high or high to low | `newest_first` |
| **Minimum / Maximum price** | Price range in the currency of the selected country | `10` / `80` |
| **Browse mode** | Adds description, views and full price details to each listing | `false` |
```json
{
"keywords": ["nike air force 1", "levis 501"],
"country": "fr",
"maxItems": 200,
"order": "newest_first",
"priceTo": 80
}
```
***
### FAQ
**Can I search several keywords in one run?**
Yes. Add one keyword per line in the **Keywords** field. Each keyword runs as its own Vinted search on the country you picked, with the same filters, and the **Max results** limit is shared between them so every keyword gets its share of rows. A listing found by two keywords is returned once, and the `searchQuery` column tells which keyword found it.
**Can I mix keywords and a Search URL?**
Yes. The Search URL runs exactly as you set it on Vinted, and each keyword runs as an extra search. A Vinted search URL typed in the Keywords list also works.
***
### Example results
```json
{
"title": "Nike Air Max 90 - Size 42",
"price": 45.00,
"currency": "EUR",
"brand": "Nike",
"size": "42",
"status": "Very good condition",
"color": "White",
"city": "Paris",
"country": "France",
"favouriteCount": 12,
"sellerName": "marie_fashion",
"sellerRating": 4.8,
"sellerFeedbacks": 42,
"url": "https://www.vinted.fr/items/12345...",
"searchQuery": "nike air max"
}
```
***
### Tips for best results
1. ✅ **Be specific** - "Nike Air Max 90 white" works better than just "shoes"
2. ✅ **Use filters** - Set price range to avoid unwanted results
3. ✅ **Start small** - Test with 1-2 pages first
4. ✅ **Choose the right country** - Products are country-specific
***
### Need help?
If you have questions or need assistance, feel free to contact us!
***
***
## 👗 Vinted Scraper Pay Per Result (Français)
[🇬🇧 English](#-vinted-scraper-pay-per-result) | **🇫🇷 Français**
> 💰 **Paiement au résultat** - Vous ne payez que pour les résultats obtenus. Pas de frais mensuels !
***
### Qu'est-ce que Vinted Scraper ?
Vinted Scraper vous permet d'**extraire les annonces de produits sur Vinted** - la plus grande marketplace de mode de seconde main en Europe. Que vous cherchiez des vêtements, chaussures, sacs ou accessoires, cet outil vous aide à collecter toutes les informations dont vous avez besoin.
Parfait pour :
- 🛍️ **Revendeurs** - Trouvez les meilleures affaires à revendre
- 📊 **Études de marché** - Analysez les prix et tendances
- 🔔 **Surveillance des prix** - Suivez des articles ou marques spécifiques
- 📈 **Analyse de données** - Créez des jeux de données pour vos projets
***
### Que pouvez-vous rechercher ?
| Option de recherche | Exemples |
|---------------------|----------|
| **Mots-clés** | "Nike Air Max", "Sac Chanel", "Jean Levi's" |
| **Marques** | Nike, Adidas, Zara, H\&M, Louis Vuitton, Gucci |
| **Catégories** | Femme, Homme, Enfant, Maison, Accessoires |
| **Fourchette de prix** | De 5€ à 50€, De 100€ à 500€ |
| **État** | Neuf avec étiquettes, Neuf, Très bon, Bon, Satisfaisant |
| **Taille** | XS, S, M, L, XL, 38, 40, 42... |
| **Couleurs** | Noir, Blanc, Bleu, Rouge, etc. |
***
### Quelles informations obtenez-vous ?
Pour chaque produit trouvé, vous recevez :
| Information | Description |
|-------------|-------------|
| 📝 **Titre** | Nom du produit |
| 💰 **Prix** | Prix actuel en euros |
| 🏷️ **Marque** | Nom de la marque (Nike, Zara, etc.) |
| 📏 **Taille** | Taille de l'article |
| ✨ **État** | Neuf, Très bon, Bon, etc. |
| 🎨 **Couleur** | Couleur principale |
| 📍 **Localisation** | Ville et pays du vendeur |
| 🖼️ **Photos** | Toutes les images du produit |
| ❤️ **Favoris** | Nombre d'utilisateurs ayant sauvegardé l'article |
| 👤 **Info vendeur** | Nom, note, nombre d'avis |
| 🔗 **Lien** | URL directe vers le produit |
| 📅 **Date** | Date de mise en ligne |
***
### Pays supportés
| Pays | Site |
|------|------|
| 🇫🇷 France | vinted.fr |
| 🇩🇪 Allemagne | vinted.de |
| 🇧🇪 Belgique | vinted.be |
| 🇳🇱 Pays-Bas | vinted.nl |
| 🇪🇸 Espagne | vinted.es |
| 🇮🇹 Italie | vinted.it |
| 🇵🇱 Pologne | vinted.pl |
| 🇵🇹 Portugal | vinted.pt |
| 🇱🇹 Lituanie | vinted.lt |
| 🇨🇿 République Tchèque | vinted.cz |
| 🇦🇹 Autriche | vinted.at |
| 🇬🇧 Royaume-Uni | vinted.co.uk |
| 🇺🇸 États-Unis | vinted.com |
***
### Deux modes disponibles
#### 🚀 Mode Rapide (Par défaut)
Extraction rapide des informations de base depuis les résultats de recherche. Parfait pour la collecte de données à grande échelle.
#### 🔍 Mode Détails (Browse Mode)
Activez le "Browse Mode" pour obtenir les **informations complètes** de chaque produit :
- ✅ Description complète
- ✅ Prix exact
- ✅ État du produit
- ✅ Catégorie
- ✅ Images haute qualité
> 💡 Le Mode Détails est plus lent mais fournit beaucoup plus de données. Utilisez-le quand vous avez besoin des informations complètes du produit.
***
### Comment utiliser ?
#### Option 1 : Recherche par mots-clés
Tapez un mot-clé par ligne dans le champ **Keywords** :
- **Keywords** : `nike air max`, `levis 501`, `robe zara`
- **Pays** : France
- **Résultats max** : 300
Chaque mot-clé lance sa propre recherche Vinted, avec vos filtres (catégorie, marque, taille, couleur, état, prix, tri) appliqués à chacun. Chaque ligne indique le mot-clé qui l'a trouvée.
#### Option 2 : Utiliser une URL Vinted
1. Allez sur Vinted et faites votre recherche
2. Appliquez tous vos filtres (marque, taille, prix, etc.)
3. Copiez l'URL de votre navigateur
4. Collez-la dans le champ "URL de recherche"
Le scraper utilisera votre recherche exacte avec tous les filtres. Une URL Vinted collée dans le champ "Texte de recherche" fonctionne aussi : elle est reconnue et utilisée comme une recherche par URL.
***
### Paramètres d'entrée
| Champ | Rôle | Exemple |
|-------|------|---------|
| 🔎 **Keywords** | Une recherche Vinted par mot-clé, filtres appliqués à chacune | `["nike air max", "levis 501"]` |
| 🔗 **Search URL** | Une URL de recherche Vinted, lancée telle que vous l'avez réglée sur Vinted | `https://www.vinted.fr/catalog?search_text=nike` |
| 🌍 **Country** | Le site Vinted à interroger (France, Allemagne, Royaume-Uni, USA et 9 autres) | `fr` |
| 🔢 **Max results** | Nombre maximum d'annonces pour tout le run, partagé entre les mots-clés | `300` |
| 🔍 **Search text** | Un texte de recherche unique, conservé pour les configurations existantes | `nike` |
| **IDs de catégorie, marque, taille, couleur, état** | Affinent chaque recherche par mot-clé | `53` (Nike) |
| **Tri** | Plus récents, pertinence, prix croissant ou décroissant | `newest_first` |
| **Prix minimum / maximum** | Fourchette de prix dans la devise du pays choisi | `10` / `80` |
| **Browse mode** | Ajoute la description, les vues et le détail du prix à chaque annonce | `false` |
***
### FAQ
**Puis-je chercher plusieurs mots-clés dans un même run ?**
Oui. Ajoutez un mot-clé par ligne dans le champ **Keywords**. Chaque mot-clé lance sa propre recherche Vinted sur le pays choisi, avec les mêmes filtres, et la limite **Max results** est partagée entre eux pour que chaque mot-clé ait sa part de lignes. Une annonce trouvée par deux mots-clés n'est renvoyée qu'une fois, et la colonne `searchQuery` indique le mot-clé qui l'a trouvée.
**Puis-je combiner des mots-clés et une URL de recherche ?**
Oui. L'URL de recherche est lancée telle que vous l'avez réglée sur Vinted, et chaque mot-clé lance une recherche en plus. Une URL de recherche Vinted tapée dans la liste Keywords fonctionne aussi.
***
### Exemple de résultats
```json
{
"title": "Nike Air Max 90 - Taille 42",
"price": 45.00,
"currency": "EUR",
"brand": "Nike",
"size": "42",
"status": "Très bon état",
"color": "Blanc",
"city": "Paris",
"country": "France",
"favouriteCount": 12,
"sellerName": "marie_fashion",
"sellerRating": 4.8,
"sellerFeedbacks": 42,
"url": "https://www.vinted.fr/items/12345...",
"searchQuery": "nike air max"
}
```
***
### Conseils pour de meilleurs résultats
1. ✅ **Soyez précis** - "Nike Air Max 90 blanc" fonctionne mieux que simplement "chaussures"
2. ✅ **Utilisez les filtres** - Définissez une fourchette de prix pour éviter les résultats indésirables
3. ✅ **Commencez petit** - Testez avec 1-2 pages d'abord
4. ✅ **Choisissez le bon pays** - Les produits sont spécifiques à chaque pays
***
### Besoin d'aide ?
Si vous avez des questions ou besoin d'assistance, n'hésitez pas à nous contacter !
# Actor input Schema
## `keywords` (type: `array`):
One Vinted search per keyword, on the Vinted site of the selected country, e.g. nike air force 1, levis 501, robe zara. The filters below (category, brand, size, color, condition, price, sort) apply to every keyword, and each row tells which keyword found it. Max results is shared between the keywords.
## `searchUrl` (type: `string`):
Paste a Vinted search URL with all your filters already applied: go to vinted.fr (or your country's Vinted), set your keywords, category, brand, size, color, price range, then copy the URL from your browser, e.g. https://www.vinted.fr/catalog?search_text=nike\&order=newest_first. The URL runs as is: the Search Text and the filters below are not applied to it. Keywords above still run as extra searches. Plain keywords typed here also work.
## `country` (type: `string`):
Vinted site searched by the keywords and the search text. Prices come in the currency of that site.
## `maxItems` (type: `integer`):
Maximum number of listings for the whole run, shared between all keywords and URLs. The scraper paginates until this limit is reached. Set to 0 for the default (1000).
## `searchText` (type: `string`):
A single search text, kept for existing setups (e.g., nike, chanel, robe). The Keywords field above takes several keywords at once. A Vinted search URL pasted here also works.
## `catalogIds` (type: `array`):
Category IDs to filter (e.g., 1904=Women, 1906=Men, 1905=Kids).
## `brandIds` (type: `array`):
Brand IDs to filter (e.g., 53=Nike, 14=Adidas, 12=Zara).
## `sizeIds` (type: `array`):
Size IDs to filter.
## `colorIds` (type: `array`):
Color IDs to filter.
## `statusIds` (type: `array`):
Condition/status IDs (e.g., 6=New with tags, 1=New, 2=Very good).
## `order` (type: `string`):
Sort results by.
## `priceFrom` (type: `number`):
Minimum price filter.
## `priceTo` (type: `number`):
Maximum price filter.
## `browseMode` (type: `boolean`):
Fetch detailed information for each item (slower, more data).
## `maxConcurrency` (type: `integer`):
Number of parallel workers for browse mode (1-10, default: 3).
## Actor input object example
```json
{
"keywords": [
"nike"
],
"searchUrl": "",
"country": "fr",
"maxItems": 50,
"catalogIds": [],
"brandIds": [],
"sizeIds": [],
"colorIds": [],
"statusIds": [],
"order": "newest_first",
"browseMode": false,
"maxConcurrency": 3
}
```
# Actor output Schema
## `products` (type: `string`):
Complete product data including: id, title, description, price (local currency), currency, originalPrice, brand, brandId, size, sizeId, status (condition: new/like_new/good/satisfactory), category, categoryId, color, colorId, material, city, country, sellerName, sellerId, sellerRating, sellerReviews, sellerVerified, photos (image URLs), url, favoritesCount, viewsCount, createdAt, updatedAt.
## `productsCSV` (type: `string`):
CSV format export of all products for spreadsheet analysis
## `productsExcel` (type: `string`):
Excel format export of all products
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"keywords": [
"nike"
],
"searchUrl": "",
"maxItems": 50,
"catalogIds": [],
"brandIds": [],
"sizeIds": [],
"colorIds": [],
"statusIds": []
};
// Run the Actor and wait for it to finish
const run = await client.actor("silentflow/vinted-scraper-ppr").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs
```
## Python example
```python
from apify_client import ApifyClient
# Initialize the ApifyClient with your Apify API token
# Replace '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"keywords": ["nike"],
"searchUrl": "",
"maxItems": 50,
"catalogIds": [],
"brandIds": [],
"sizeIds": [],
"colorIds": [],
"statusIds": [],
}
# Run the Actor and wait for it to finish
run = client.actor("silentflow/vinted-scraper-ppr").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"keywords": [
"nike"
],
"searchUrl": "",
"maxItems": 50,
"catalogIds": [],
"brandIds": [],
"sizeIds": [],
"colorIds": [],
"statusIds": []
}' |
apify call silentflow/vinted-scraper-ppr --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"type": "http",
"url": "https://mcp.apify.com/?tools=fetch-actor-details,silentflow/vinted-scraper-ppr"
}
}
}
```
The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).
## OpenAPI specification
Download the OpenAPI definition: https://api.apify.com/v2/actors/fp237KZlZX0UgUspX/builds/XH4ETCP0mhQZcEhxj/openapi.json