Vinted Scraper

The Vinted Scraper is a powerful and reliable tool designed to extract detailed product information from Vinted. It collects comprehensive data including product titles, prices, images, seller information, descriptions, and more. This scraper delivers structured output in JSON, CSV, or Excel formats, perfect for market research, price monitoring, or data analysis.

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Features

• Product Details: Extracts titles, descriptions, prices, and product attributes (brand, size, condition, color)
• Image Collection: Retrieves all product images with full URLs
• Seller Information: Captures seller usernames, ratings, review counts, location, and last seen status
• Shipping Info: Collects shipping cost information
• Category Data: Extracts breadcrumb navigation showing product categories
• Reliable Extraction: Consistent and reliable data extraction from Vinted pages
• Flexible Input: Supports both catalog pages and individual product URLs
• Smart Pagination: Automatically follows pagination links on catalog pages

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Input Schema

The actor accepts the following input parameters:

Parameter	Type	Description	Required	Default
startUrls	array	List of Vinted URLs to scrape. Can be catalog pages or individual product URLs.	Yes	-
maxItems	integer	Maximum number of items to scrape. Set to 0 or leave empty for unlimited.	No	100

Start URL Examples

• Catalog page: https://www.vinted.co.uk/catalog
• Category page: https://www.vinted.co.uk/catalog?search_text=nike
• Individual item: https://www.vinted.co.uk/items/1234567-example-product

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Example Output

Below is an example of the structured data produced by the actor:

{
  "url": "https://www.vinted.co.uk/items/1234567-nike-air-max",
  "title": "Nike Air Max 90 - Size 8",
  "price": "£45.00",
  "totalPrice": "£49.38 (includes Buyer Protection)",
  "imageUrls": [
    "https://images1.vinted.net/x/full/example1.jpg",
    "https://images1.vinted.net/x/full/example2.jpg"
  ],
  "attributes": {
    "brand": "Nike",
    "size": "8",
    "condition": "Good",
    "color": "White",
    "uploadDate": "3 days ago"
  },
  "description": "Great condition Nike Air Max 90 sneakers...",
  "seller": {
    "username": "sneaker_lover123",
    "rating": 4.8,
    "reviewCount": 156,
    "location": "London, United Kingdom",
    "lastSeen": "Last seen 2 hours ago"
  },
  "shipping": "£4.38",
  "breadcrumbs": ["Men", "Shoes", "Sneakers"]
}

How to Use

1. Set Up the Actor:

   • Install the actor from the Apify platform or run it locally.

2. Configure Input Parameters:

   • startUrls: Provide one or more Vinted URLs (catalog pages or individual products).
   • maxItems: Set the maximum number of items to scrape (optional).

3. Example Input:

   {
     "startUrls": [
       { "url": "https://www.vinted.co.uk/catalog?search_text=nike" },
       { "url": "https://www.vinted.co.uk/catalog?search_text=adidas" }
     ],
     "maxItems": 50
   }
   

4. Run the Actor:

   • Execute the actor on the Apify platform or locally.

5. View Results:

   • Access the structured data in JSON, CSV, or Excel formats via the dataset.

Technical Details

• High Reliability: Advanced infrastructure ensures consistent data extraction
• Rate Limiting: Built-in delays between requests to respect site limits
• Error Handling: Robust error handling with detailed logging
• Pagination: Automatic detection and following of next page links
• Data Validation: URL validation to ensure only valid Vinted URLs are processed

Use Cases

• Market Research: Analyze pricing trends, popular brands, and product availability on Vinted
• Price Monitoring: Track price changes for specific products or categories
• Competitor Analysis: Compare product offerings and pricing strategies
• Inventory Analysis: Monitor product availability and seller activity
• Data Analysis: Extract data for business intelligence and analytics
• Content Creation: Generate product catalogs or comparison guides

Explore More Actors

✨ Looking for additional solutions? Check out more actors on Apify that can help with your web automation and data extraction needs. Discover a wide range of tools tailored for different scenarios at 🌐 Explore Vulnv's Actors on Apify.

📧 For inquiries or support, feel free to reach out to us at apify@vulnv.com.