# Vinted Search Scraper (`epicscrapers/vinted-search-scraper`) Actor

Extract product listings, prices, photos & seller data from Vinted search results and catalogs. Fast, reliable API for market research, price monitoring & inventory tracking. Get structured JSON data from any Vinted category or search query. No coding required.

- **URL**: https://apify.com/epicscrapers/vinted-search-scraper.md
- **Developed by:** [Epic Scrapers](https://apify.com/epicscrapers) (community)
- **Categories:** E-commerce, Automation, Integrations
- **Stats:** 11 total users, 3 monthly users, 75.6% runs succeeded, 1 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $1.00 / 1,000 products

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).

If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).


# README

## Vinted Scraper

Extract product listings, prices, photos, and seller data from Vinted quickly and reliably. Perfect for market research, price monitoring, and inventory tracking.

> PLEASE LEAVE FEEDBACK. I am actively improving this and would like to know what you guys want. (please give feedback in the issues, not reviews)
### Features

- 🔍 **Search Results Scraping** - Extract products from any Vinted search query
- 📦 **Catalog Scraping** - Scrape entire categories or seller catalogs
- 💰 **Complete Product Data** - Get prices, titles, descriptions, images, and more
- 👤 **Seller Information** - Extract seller ratings, profiles, and statistics
- 🚀 **Fast & Reliable** - Optimized for speed with built-in error handling
- 📊 **Structured Output** - Export to JSON, CSV, or Excel
- 🌍 **Multi-Country Support** - Works with all Vinted regional sites

### What Data Can You Extract?

- Product title and description
- Current price and original price
- Product photos (all images)
- Product condition and size
- Brand
- Seller username and profile
- Seller ratings and reviews
- Product URL and ID
- Upload date and location
- Number of views and favorites

### Use Cases

- **Price Monitoring** - Track price trends across categories
- **Market Research** - Analyze popular items and pricing strategies
- **Inventory Tracking** - Monitor competitor stock and listings
- **Dropshipping Research** - Find trending products and suppliers
- **Data Analysis** - Build datasets for fashion market insights
- **Price Comparison** - Compare prices across sellers and regions

### Input

The scraper accepts the following input parameters:

```json
{
    "maxProducts": 50,
    "startUrls": [
        {
            "url": "https://www.vinted.fr/catalog?search_text=iphones"
        }
    ]
}
````

#### Input Parameters

| Parameter   | Type   | Description                                         | Required |
| ----------- | ------ | --------------------------------------------------- | -------- |
| `startUrls` | Array  | List of Vinted search or catalog URLs to scrape     | Yes      |
| `maxItems`  | Number | Maximum number of products to scrape (default: 100) | No       |

### Output

The scraper returns structured data in the following format:

```json
{
  "title": "Nike Air Max 90",
  "price": "45.00",
  "currency": "EUR",
  "brand": "Nike",
  "size": "42",
  "condition": "Good",
  "description": "Gently used Nike Air Max 90 in great condition...",
  "images": [
    "https://images.vinted.net/...",
    "https://images.vinted.net/..."
  ],
  "seller": {
    "username": "sneaker_seller",
    "rating": 4.8,
    "reviewCount": 156
  },
  "url": "https://www.vinted.com/items/...",
  "uploadDate": "2024-12-15",
  "views": 234,
  "favorites": 12,
  "location": "Berlin, Germany"
}
```

```json
{
    "items": [
        {
            "id": 7802841427,
            "title": "Apple Watch série 3",
            "price": {
                "amount": "80.0",
                "currency_code": "EUR"
            },
            "is_visible": true,
            "brand_title": "Apple",
            "path": "/items/7802841427-apple-watch-serie-3",
            "user": {
                "id": 13154687,
                "login": "juliebr54",
                "profile_url": "https://www.vinted.it/member/13154687-juliebr54",
                "photo": {
                    "id": 144659377,
                    "width": 673,
                    "height": 800,
                    "temp_uuid": null,
                    "url": "https://images1.vinted.net/t/03_016d0_EPoRubcdFiTmeSH1ADLBBZnP/f800/1686324427.webp?s=5f6e49b100639095430785778622052df100c20f",
                    "dominant_color": "#31abc2",
                    "dominant_color_opaque": "#C1E6ED",
                    "is_suspicious": false,
                    "orientation": null,
                    "high_resolution": {
                        "id": "03_016d0_EPoRubcdFiTmeSH1ADLBBZnP",
                        "timestamp": 1686324427,
                        "orientation": null
                    },
                    "full_size_url": "https://images1.vinted.net/tc/03_016d0_EPoRubcdFiTmeSH1ADLBBZnP/1686324427.webp?s=4e29ff2ae5cff8cbf815f6add50564cc8bfeecc9",
                    "is_hidden": false,
                    "extra": {}
                },
                "business": false
            },
            "conversion": null,
            "url": "https://www.vinted.it/items/7802841427-apple-watch-serie-3",
            "promoted": false,
            "photos": [
                {
                    "id": 32766972390,
                    "image_no": 1,
                    "width": 600,
                    "height": 800,
                    "dominant_color": "#75716A",
                    "dominant_color_opaque": "#D6D4D2",
                    "url": "https://images1.vinted.net/t/05_02580_RhFEaDsUyTjJGVRAAiU7YtGy/f800/1766396418.webp?s=480f55c4b73fccb38fa2703ea757084d157cb071",
                    "is_main": true,
                    "thumbnails": [
                        {
                            "type": "thumb70x100",
                            "url": "https://images1.vinted.net/t/05_02580_RhFEaDsUyTjJGVRAAiU7YtGy/70x100/1766396418.webp?s=8f2fa4453f6c36388154d10df8f27e1edc14b19d",
                            "width": 70,
                            "height": 100,
                            "original_size": null
                        },
                        {
                            "type": "thumb150x210",
                            "url": "https://images1.vinted.net/t/05_02580_RhFEaDsUyTjJGVRAAiU7YtGy/150x210/1766396418.webp?s=748e86a9e6ac0a4c61dc092e0683fcdb77c04ecd",
                            "width": 150,
                            "height": 210,
                            "original_size": null
                        },
                        {
                            "type": "thumb310x430",
                            "url": "https://images1.vinted.net/t/05_02580_RhFEaDsUyTjJGVRAAiU7YtGy/310x430/1766396418.webp?s=b5f25d8213450c3e8299a9aecd852e1a3ec46a56",
                            "width": 310,
                            "height": 430,
                            "original_size": null
                        },
                        {
                            "type": "thumb428x624",
                            "url": "https://images1.vinted.net/t/05_02580_RhFEaDsUyTjJGVRAAiU7YtGy/f800/1766396418.webp?s=480f55c4b73fccb38fa2703ea757084d157cb071",
                            "width": 321,
                            "height": 428,
                            "original_size": true
                        },
                        {
                            "type": "thumb624x428",
                            "url": "https://images1.vinted.net/t/05_02580_RhFEaDsUyTjJGVRAAiU7YtGy/f800/1766396418.webp?s=480f55c4b73fccb38fa2703ea757084d157cb071",
                            "width": 468,
                            "height": 624,
                            "original_size": true
                        },
                        {
                            "type": "thumb364x428",
                            "url": "https://images1.vinted.net/t/05_02580_RhFEaDsUyTjJGVRAAiU7YtGy/f800/1766396418.webp?s=480f55c4b73fccb38fa2703ea757084d157cb071",
                            "width": 273,
                            "height": 364,
                            "original_size": true
                        }
                    ],
                    "high_resolution": {
                        "id": "05_02580_RhFEaDsUyTjJGVRAAiU7YtGy",
                        "timestamp": 1766396418,
                        "orientation": null
                    },
                    "is_suspicious": false,
                    "full_size_url": "https://images1.vinted.net/tc/05_02580_RhFEaDsUyTjJGVRAAiU7YtGy/1766396418.webp?s=cc2a91a1a0e09d45d044c289f734355c159d5357",
                    "is_hidden": false,
                    "extra": {}
                }
            ],
            "favourite_count": 0,
            "is_favourite": false,
            "service_fee": {
                "amount": "4.7",
                "currency_code": "EUR"
            },
            "total_item_price": {
                "amount": "84.7",
                "currency_code": "EUR"
            },
            "view_count": 0,
            "size_title": "30–38 mm",
            "content_source": "search",
            "status": "Good",
            "item_box": {
                "first_line": "Apple",
                "second_line": "30–38 mm · Good",
                "exposures": [],
                "accessibility_label": "Apple Watch série 3, brand: Apple, condition: Good, size: 30–38 mm, €80.00, €84.70 includes Buyer Protection",
                "item_id": 7802841427
            },
            "search_tracking_params": {
                "score": null,
                "matched_queries": []
            }
        }
    ],
    "search_tracking_params": {
        "search_correlation_id": "1be3617e-0a4a-4bf7-81f9-c4fe330e3d6c",
        "global_search_session_id": "6b7fa3cf-a9c8-425f-b094-4414778adfa1",
        "search_session_id": "ae551dce-dece-4488-8f52-121623b30e0d"
    },
    "pagination": {
        "current_page": 1,
        "total_pages": 960,
        "total_entries": 960,
        "per_page": 1,
        "time": 1766396500
    },
    "code": 0
}

```

### How to Use

#### 1. Search URL Scraping

Scrape products from Vinted search results:

```
https://www.vinted.com/catalog?search_text=vintage+jacket
https://www.vinted.com/catalog?search_text=adidas&brand_ids[]=53
```

#### 2. Category Scraping

Extract all items from specific categories:

```
https://www.vinted.com/men/clothes/jackets-and-coats
https://www.vinted.com/women/accessories/bags
```

#### 3. Seller Profile Scraping

Get all listings from a specific seller:

```
https://www.vinted.com/member/12345678
```

### Tips for Best Results

- **Use Proxy** - Always enable Apify proxy to avoid rate limiting
- **Reasonable Limits** - Set `maxItems` appropriately to balance speed and data volume
- **Specific Searches** - Use detailed search queries for more relevant results
- **Multiple URLs** - Add several URLs to `startUrls` for comprehensive scraping
- **Check Regional Sites** - Different Vinted domains (.com, .fr, .de, etc.) have different inventory

### Pricing

This scraper runs on the Apify platform. Typical costs:

- **100 products** - ~0.01 compute units (~$0.001)
- **1,000 products** - ~0.1 compute units (~$0.01)
- **10,000 products** - ~1 compute unit (~$0.10)

### Limitations

- Respects Vinted's robots.txt and terms of service
- Does not scrape personal user messages or private data
- Rate limited to avoid server overload
- Some fields may be unavailable depending on listing type

### Support

Need help or have questions?

- 📧 Contact us through the Apify platform
- 🐛 Report issues on the actor's issue tracker
- 💡 Request features via the feedback form

### Legal & Ethics

This scraper is designed for legitimate use cases such as market research and price comparison. Users are responsible for complying with Vinted's Terms of Service and applicable laws regarding data scraping and usage. Always respect robots.txt and rate limits.

***

**Ready to start scraping?** Click the "Try for free" button to test the scraper with your first Vinted URLs.

# Actor input Schema

## `startUrls` (type: `array`):

URLs to start with.

## `maxProducts` (type: `integer`):

Maximum number of products to scrape (0 means no limit).

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://www.vinted.it/catalog?search_text=macbook"
    }
  ],
  "maxProducts": 100
}
```

# Actor output Schema

## `dataset` (type: `string`):

No description

## `overview` (type: `string`):

No description

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "startUrls": [
        {
            "url": "https://www.vinted.it/catalog?search_text=macbook"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("epicscrapers/vinted-search-scraper").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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "startUrls": [{ "url": "https://www.vinted.it/catalog?search_text=macbook" }] }

# Run the Actor and wait for it to finish
run = client.actor("epicscrapers/vinted-search-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "startUrls": [
    {
      "url": "https://www.vinted.it/catalog?search_text=macbook"
    }
  ]
}' |
apify call epicscrapers/vinted-search-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=epicscrapers/vinted-search-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Vinted Search Scraper",
        "description": "Extract product listings, prices, photos & seller data from Vinted search results and catalogs. Fast, reliable API for market research, price monitoring & inventory tracking. Get structured JSON data from any Vinted category or search query. No coding required.",
        "version": "0.0",
        "x-build-id": "094IXbLbphTgXt6Xu"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/epicscrapers~vinted-search-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-epicscrapers-vinted-search-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/epicscrapers~vinted-search-scraper/runs": {
            "post": {
                "operationId": "runs-sync-epicscrapers-vinted-search-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/epicscrapers~vinted-search-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-epicscrapers-vinted-search-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "properties": {
                    "startUrls": {
                        "title": "Start URLs",
                        "type": "array",
                        "description": "URLs to start with.",
                        "items": {
                            "type": "object",
                            "required": [
                                "url"
                            ],
                            "properties": {
                                "url": {
                                    "type": "string",
                                    "title": "URL of a web page",
                                    "format": "uri"
                                }
                            }
                        }
                    },
                    "maxProducts": {
                        "title": "Maximum Products",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Maximum number of products to scrape (0 means no limit).",
                        "default": 100
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```
