Vinted France Scraper

What Vinted France Scraper can do

• Three ways in. Keyword/brand/category search with real source-side filters, paste any item or seller/member URL directly, or pull a seller's full feedback history.
• Real search filters, not guesswork. Brand id, price range, condition and sort order map directly to Vinted.fr's own search parameters, verified to narrow results rather than being accepted and silently ignored.
• Full item detail from the item's own page. Condition, size, material, colour, category and full description, read from the listing's own structured data and on-page attributes, not a third-party estimate.
• Honest pricing. Vinted.fr shows a second, larger figure next to the listed price ("buyer protection included"), which is the current price plus a checkout fee, never a former price. This scraper reports only the real listed price and does not invent a wasPrice or discount field the marketplace itself doesn't expose.
• Native seller feedback. Overall rating, feedback count and every individual review (reviewer, date, star rating, comment) sourced from Vinted.fr's own feedback system.
• Built for schedules. Incremental mode returns only new, changed and reappeared listings on recurring runs; because a sold listing on a C2C marketplace is gone for good, a sold or removed listing comes back marked EXPIRED once a full scan confirms it.

Choose what to collect

These inputs let you configure Vinted France Scraper - Clothes, Prices, Sellers & Reviews. Open the actor on Apify to enter your values and review the current options.

Fields in the output

The documented dataset includes the fields below. Availability can depend on the source page and selected mode.

Example output

An example from this actor’s documentation. Values are illustrative; this is not a fresh live result.

{
  "itemId": "00000001",
  "title": "Sample knitted jumper",
  "url": "https://www.vinted.fr/items/00000001-sample-knitted-jumper",
  "path": "/items/00000001-sample-knitted-jumper",
  "brandTitle": "Sample Brand",
  "priceAmount": 15,
  "currency": "EUR",
  "isVisible": true,
  "promoted": false,
  "photos": [
    {
      "id": 1,
      "url": "https://images.example.com/000001.jpeg",
      "width": 800,
      "height": 1200,
      "isMain": true
    }
  ],
  "seller": {
    "id": "00000002",
    "username": "sample_seller",
    "photo": "https://images.example.com/seller-000002.jpeg",
    "business": false,
    "feedbackRating": 0.98,
    "feedbackCount": 120
  },
  "description": "Full listing description text appears here when present.",
  "mainImage": "https://images.example.com/000001.jpeg",
  "conditionSchema": "UsedCondition",
  "condition": "Bon état",
  "size": "M",
  "material": "Coton",
  "color": "Bleu",
  "categoryPath": "Femmes Vêtements",
  "catalogId": "1242",
  "isReserved": false,
  "sellerId": "00000002",
  "sellerBusiness": false,
  "sellerFeedbackRating": 0.98,
  "sellerFeedbackCount": 120,
  "sellerUsername": "sample_seller",
  "scrapedAt": "2026-01-01T00:00:00+00:00"
}

Ways to use this data

• Resale price research: track a keyword or brand across the marketplace to benchmark asking prices, sizes and condition mix.
• Deal and restock alerts: schedule a search with incremental mode on and get notified only about new or changed listings.
• Seller due diligence: pull a seller's profile and complete feedback history before buying from or dealing with them.
• Marketplace analytics: build a dataset of brand, price and condition trends for a category or set of keywords.
• Storefront monitoring: watch one seller's whole listing catalogue for new items through URL mode's member enumeration.

Before you run

Start with a small input and check the resulting records against your expected fields. Source content and actor options can change; the current Apify listing is the reference for availability and pricing.

Questions about this actor