# Vinted closets like the ones you already buy from

**Use case:** 

Give it the sellers you buy from — ids, profile URLs or usernames, one or hundreds — and back come the closets most like them. Half the score is what they sell (garment, material, era, colour, wording), half is the brand overlap, each weighted by rarity: a shared Zara counts for little, a shared Anine Bing for a lot. similarity and shared_brands say why. Your own sellers are never returned.

## Input

```json
{
  "sortBy": "followers",
  "minFollowers": 300,
  "maxFollowers": 20000,
  "businessOnly": false,
  "archetype": "",
  "section": "",
  "category": "",
  "minBrandItems": 1,
  "closetShares": [],
  "flags": [],
  "similarTo": [
    "113765333"
  ],
  "maxPerUser": 1000,
  "fresh": false,
  "includeItems": false,
  "itemsState": "all",
  "maxItemsPerMember": 100,
  "includeHistory": false,
  "maxItems": 100
}
```

## Output

```json
{
  "id": {
    "label": "Member id",
    "format": "integer"
  },
  "login": {
    "label": "Username",
    "format": "string"
  },
  "profile_url": {
    "label": "Profile",
    "format": "string"
  },
  "country_code": {
    "label": "Country",
    "format": "string"
  },
  "city": {
    "label": "City",
    "format": "string"
  },
  "is_business": {
    "label": "Vinted Pro",
    "format": "boolean"
  },
  "followers_count": {
    "label": "Followers",
    "format": "integer"
  },
  "following_count": {
    "label": "Following",
    "format": "integer"
  },
  "feedback_count": {
    "label": "Reviews",
    "format": "integer"
  },
  "feedback_reputation": {
    "label": "Positive share",
    "format": "number"
  },
  "positive_feedback_count": {
    "label": "Positive",
    "format": "integer"
  },
  "neutral_feedback_count": {
    "label": "Neutral",
    "format": "integer"
  },
  "negative_feedback_count": {
    "label": "Negative",
    "format": "integer"
  },
  "item_count": {
    "label": "Listed now",
    "format": "integer"
  },
  "given_item_count": {
    "label": "Sold",
    "format": "integer"
  },
  "taken_item_count": {
    "label": "Bought",
    "format": "integer"
  },
  "is_on_holiday": {
    "label": "Holiday mode",
    "format": "boolean"
  },
  "last_logged_on": {
    "label": "Last login",
    "format": "string"
  },
  "account_gone": {
    "label": "Gone",
    "format": "boolean"
  },
  "photo_url": {
    "label": "Photo",
    "format": "string"
  },
  "has_profile": {
    "label": "Full record",
    "format": "boolean"
  },
  "counts_at": {
    "label": "Counts read",
    "format": "string"
  },
  "profile_at": {
    "label": "Record read",
    "format": "string"
  },
  "first_seen_at": {
    "label": "First seen",
    "format": "string"
  },
  "source": {
    "label": "Source",
    "format": "string"
  },
  "items_open": {
    "label": "Items open",
    "format": "integer"
  },
  "items_sold_seen": {
    "label": "Items sold seen",
    "format": "integer"
  },
  "top_brand": {
    "label": "Top brand",
    "format": "string"
  },
  "price_open_median": {
    "label": "Price open median",
    "format": "number"
  },
  "price_sold_median": {
    "label": "Price sold median",
    "format": "number"
  },
  "sales_30d": {
    "label": "Sales 30d",
    "format": "integer"
  },
  "currency": {
    "label": "Currency",
    "format": "string"
  },
  "summary_at": {
    "label": "Summary at",
    "format": "string"
  },
  "summary": {
    "label": "Summary",
    "format": "string"
  },
  "summary_source": {
    "label": "Summary source",
    "format": "string"
  },
  "categories": {
    "label": "Categories",
    "format": "array"
  },
  "category_top": {
    "label": "Category top",
    "format": "string"
  },
  "section": {
    "label": "Section",
    "format": "string"
  },
  "archetype": {
    "label": "Archetype",
    "format": "string"
  },
  "price_index": {
    "label": "Price index",
    "format": "number"
  },
  "brand_items_open": {
    "label": "Brand items open",
    "format": "integer"
  },
  "brand_items_sold": {
    "label": "Brand items sold",
    "format": "integer"
  },
  "brand_items_gone": {
    "label": "Brand items gone",
    "format": "integer"
  },
  "brand_median_open": {
    "label": "Brand median open",
    "format": "number"
  },
  "brand_ratio_open": {
    "label": "Brand ratio open",
    "format": "number"
  },
  "brand_ratio_sold": {
    "label": "Brand ratio sold",
    "format": "number"
  },
  "brand_fav_per_item": {
    "label": "Brand fav per item",
    "format": "number"
  },
  "brand_last_listed_at": {
    "label": "Brand last listed at",
    "format": "string"
  },
  "brand_last_sold_at": {
    "label": "Brand last sold at",
    "format": "string"
  },
  "brand_keys": {
    "label": "Brand keys",
    "format": "object"
  },
  "legal_name": {
    "label": "Legal name",
    "format": "string"
  },
  "legal_code": {
    "label": "Legal code",
    "format": "string"
  },
  "vat_number": {
    "label": "Vat number",
    "format": "string"
  },
  "entity_type": {
    "label": "Entity type",
    "format": "string"
  },
  "entity_country": {
    "label": "Entity country",
    "format": "string"
  },
  "entity_verified": {
    "label": "Entity verified",
    "format": "boolean"
  },
  "garments": {
    "label": "Garments",
    "format": "array"
  },
  "materials": {
    "label": "Materials",
    "format": "array"
  },
  "eras": {
    "label": "Eras",
    "format": "array"
  },
  "colours": {
    "label": "Colours",
    "format": "array"
  },
  "signals": {
    "label": "Signals",
    "format": "array"
  },
  "tags_coverage": {
    "label": "Tags coverage",
    "format": "object"
  },
  "flags": {
    "label": "Flags",
    "format": "array"
  },
  "similarity": {
    "label": "Similarity",
    "format": "number"
  },
  "tags_similarity": {
    "label": "Tags similarity",
    "format": "number"
  },
  "brand_overlap": {
    "label": "Brand overlap",
    "format": "number"
  },
  "shared_brands": {
    "label": "Shared brands",
    "format": "array"
  },
  "kind": {
    "label": "Kind",
    "format": "string"
  },
  "rank": {
    "label": "Rank",
    "format": "integer"
  },
  "of_user_id": {
    "label": "Of member",
    "format": "integer"
  },
  "found_by": {
    "label": "Found by",
    "format": "string"
  },
  "fetched_at": {
    "label": "Produced",
    "format": "string"
  },
  "items": {
    "label": "Items",
    "format": "array"
  },
  "history": {
    "label": "History",
    "format": "array"
  }
}
```

## About this Actor

This example demonstrates how to use [Vinted Sellers Database — Brands, Sold Prices, Pro Shops](https://apify.com/moxlade/vinted-users.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/moxlade/vinted-users.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/moxlade/vinted-users.md

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`).