# Vinted Scraper - Low-cost💲🔥🛍️👜 (`delectable_incubator/vinted-scraper-low-cost`) Actor

🛍️ Scrape Vinted product listings and extract product IDs, titles, brands, prices, total prices, conditions, sizes, seller details, images, and product URLs. Perfect for resale market research, price monitoring, competitor analysis, luxury tracking, and AI automation. 🚀📊

- **URL**: https://apify.com/delectable\_incubator/vinted-scraper-low-cost.md
- **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community)
- **Categories:** E-commerce, Lead generation, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.00005 / actor start

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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/docs.md):

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

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

<p align="center">
  <img src="https://i.ibb.co/jkNS73wX/readme.png" alt="Vinted Products Scraper" width="100%">
</p>

---

## 🛍️👕 Vinted Products Scraper | Bulk Catalog Scraper | Apify Actor

### 🚀 Extract Vinted Product Listings in Seconds (No Code)

The **Vinted Products Scraper** (Apify Actor) is a powerful, scalable and SEO-optimized scraping solution built to extract product listings directly from **Vinted catalog search pages**.

Collect structured marketplace data in bulk from one or multiple Vinted catalog URLs for resale intelligence, price monitoring, competitor analysis, AI datasets, product research and second-hand market analytics.

---

## 🔥 Why This Vinted Scraper?

✔ Best Vinted scraper on Apify

✔ Supports bulk catalog URLs (multi-URL scraping)

✔ Fast & scalable product extraction

✔ Automatic pagination

✔ Clean JSON / CSV / Excel output

✔ Perfect for resale market intelligence

✔ No coding required

---

## 🎯 What This Scraper Does (Vinted Product Data Extraction)

This Apify Actor extracts real-time product listings directly from Vinted catalog search results.

#### 📌 Core Features

✅ Scrape Vinted catalog pages

✅ Bulk URL scraping (SEO BOOST 🚀)

✅ Automatic pagination

✅ Extract product ID

✅ Extract product title

✅ Extract condition

✅ Extract price

✅ Extract total buyer price

✅ Extract favourites count

✅ Extract product image

✅ Extract listing URL

✅ Clean structured dataset output

✅ High-speed extraction engine

---

## ⚡ Input Configuration (Simple & Powerful)

#### 🔥 BULK URL MODE (SEO BOOST 🚀)

````

{
"urls": \[
"https://www.vinted.it/catalog?search\_text=macbook",
"https://www.vinted.it/catalog?search\_text=iphone",
"https://www.vinted.it/catalog?search\_text=nike",
"https://www.vinted.it/catalog?search\_text=adidas",
"https://www.vinted.it/catalog?catalog\[]=4"
],
"maxitems": 200
}

```

---

## 📊 Extracted Product Data

| Field | Description |
|------|-------------|
| productId | Unique product identifier |
| title | Product title |
| condition | Item condition |
| price | Product price |
| totalPrice | Total buyer price |
| favourites | Number of favourites |
| imageUrl | Product image |
| listingUrl | Product URL |

---

## 💡 Use Cases (High Demand SEO Keywords)

This Vinted scraper is perfect for:

🛍️ Vinted product scraping

📊 Second-hand market analysis

💰 Price monitoring

📈 Resale market intelligence

🏷️ Product trend analysis

🤖 AI training datasets

📦 Inventory research

🔍 Competitor monitoring

⚡ Bulk marketplace data extraction

---

## 🚀 Key Features (Apify SEO Optimized)

⚡ Bulk catalog URL support

📄 Automatic pagination

📌 High-speed extraction

🧠 Clean structured datasets

📊 Export-ready data

🔁 Automatic retries

💾 JSON, CSV & Excel exports

⚙️ Cloud scalable Apify Actor

---

## 📤 Output Formats Supported

✔ JSON

✔ CSV

✔ Excel XLSX

✔ XML

✔ HTML

---

## 📦 Example Output

```

{
"productId": "8383712768",
"title": "Samsung Galaxy S23 Ultra",
"condition": "256 GB · Very Good",
"price": "€200.00",
"totalPrice": "€210.70",
"favourites": 17,
"imageUrl": "https://images1.vinted.net/...",
"listingUrl": "https://www.vinted.it/items/8383712768..."
}

````

---

## 🔥 Why This is the BEST Vinted Scraper on Apify?

✔ Optimized for Apify marketplace SEO

✔ High-performance scraping engine

✔ Bulk URL support

✔ Automatic pagination

✔ Enterprise-ready scalability

✔ Clean structured datasets

✔ Perfect for resale analytics

---

## 💸 Pricing

This scraper runs on a pay-per-result pricing model.

You only pay for successfully extracted records.

💳 **Price:** $0.98 / 1,000 results

---

## ❓ FAQ (SEO BOOST SECTION)

#### Can I scrape multiple catalog URLs?

Yes — bulk URL mode is fully supported.

#### Does it automatically paginate?

Yes — it keeps collecting listings until the maximum limit or the last available page.

#### Is this scraper fast?

Yes — optimized for large-scale extraction.

#### Is coding required?

No — this is a 100% no-code Apify Actor.

#### Can I export the results?

Yes — JSON, CSV, Excel, XML and HTML are supported.

---

## ⚠️ Disclaimer

This tool is not affiliated with Vinted. It is an independent data extraction solution.

---

## 🔗 Related Actors (Marketplace Intelligence Suite)

We are building the full **PrimeScrape Marketplace Intelligence Suite.**

👉 Coming Soon 🚀

---

## 🌍 PrimeScrape Ecosystem

Built for data scraping, automation, AI training datasets and market intelligence at scale.

🛍️ Marketplace scraping

📊 Product intelligence

💰 Price monitoring

📈 Market analytics

🤖 AI datasets

⚙️ Automation pipelines

---

## 📬 Support

⭐⭐⭐⭐⭐ Leave a review if you enjoy this scraper.

📩 Contact us for custom scraping solutions or enterprise requests.

# Actor input Schema

## `urls` (type: `array`):

List of Vinted catalog URLs to scrape. Pagination is handled automatically.

Examples:
• https://www.vinted.it/catalog?search_text=macbook
• https://www.vinted.it/catalog?search_text=samsung
• https://www.vinted.it/catalog?catalog[]=4

⚠️ URLs must be from vinted.* domains.
## `maxitems` (type: `integer`):

Maximum number of product listings to collect per URL.
## `proxy` (type: `object`):

RESIDENTIAL proxy required

## Actor input object example

```json
{
  "urls": [
    "https://www.vinted.it/catalog?search_text=iphone"
  ],
  "maxitems": 100,
  "proxy": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  }
}
````

# Actor output Schema

## `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 = {
    "urls": [
        "https://www.vinted.it/catalog?search_text=iphone"
    ],
    "maxitems": 100,
    "proxy": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ],
        "apifyProxyCountry": "US"
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("delectable_incubator/vinted-scraper-low-cost").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 = {
    "urls": ["https://www.vinted.it/catalog?search_text=iphone"],
    "maxitems": 100,
    "proxy": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
        "apifyProxyCountry": "US",
    },
}

# Run the Actor and wait for it to finish
run = client.actor("delectable_incubator/vinted-scraper-low-cost").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 '{
  "urls": [
    "https://www.vinted.it/catalog?search_text=iphone"
  ],
  "maxitems": 100,
  "proxy": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  }
}' |
apify call delectable_incubator/vinted-scraper-low-cost --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Vinted Scraper - Low-cost💲🔥🛍️👜",
        "description": "🛍️ Scrape Vinted product listings and extract product IDs, titles, brands, prices, total prices, conditions, sizes, seller details, images, and product URLs. Perfect for resale market research, price monitoring, competitor analysis, luxury tracking, and AI automation. 🚀📊",
        "version": "0.0",
        "x-build-id": "WYNbYAovYSu1bkgbr"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/delectable_incubator~vinted-scraper-low-cost/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-delectable_incubator-vinted-scraper-low-cost",
                "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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/delectable_incubator~vinted-scraper-low-cost/runs": {
            "post": {
                "operationId": "runs-sync-delectable_incubator-vinted-scraper-low-cost",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/delectable_incubator~vinted-scraper-low-cost/run-sync": {
            "post": {
                "operationId": "run-sync-delectable_incubator-vinted-scraper-low-cost",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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",
                "required": [
                    "urls",
                    "maxitems"
                ],
                "properties": {
                    "urls": {
                        "title": "Vinted Catalog URLs 🛍️",
                        "type": "array",
                        "description": "List of Vinted catalog URLs to scrape. Pagination is handled automatically.\n\nExamples:\n• https://www.vinted.it/catalog?search_text=macbook\n• https://www.vinted.it/catalog?search_text=samsung\n• https://www.vinted.it/catalog?catalog[]=4\n\n⚠️ URLs must be from vinted.* domains.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "maxitems": {
                        "title": "Maximum Products per URL 📄",
                        "type": "integer",
                        "description": "Maximum number of product listings to collect per URL.",
                        "default": 100
                    },
                    "proxy": {
                        "title": "Proxy Configuration",
                        "type": "object",
                        "description": "RESIDENTIAL proxy required",
                        "default": {
                            "useApifyProxy": true,
                            "apifyProxyGroups": [
                                "RESIDENTIAL"
                            ],
                            "apifyProxyCountry": "US"
                        }
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```