# Vinted Scraper — Listings, Prices & Seller Data (`ruslanzotkin/vinted-marketplace-scraper`) Actor 💰 $2.00/1,000 listings. Scrape Vinted by keyword across 20+ national markets in one run — price, total price (incl. fee), brand, size, condition, favourites & seller info. No API key. For resellers, price arbitrage & resale research. 🤖 MCP-ready: usable by AI agents via Apify's MCP server. - **URL**: https://apify.com/ruslanzotkin/vinted-marketplace-scraper.md - **Developed by:** [Ruslan Zotkin](https://apify.com/ruslanzotkin) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $2.00 / 1,000 item scrapeds 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 — Listings, Prices & Seller Data **Search Vinted by keyword and export every matching listing — across any of its 20+ national markets in a single run. Price, total price (incl. Buyer Protection fee), brand, size, condition, favourites, and seller info. No API key, no login.** Vinted has no public API, so structured data is hard to get at scale. This Actor uses Vinted's own internal catalog endpoint to return clean, spreadsheet-ready rows — and, uniquely, lets you query **several country markets at once** so you can spot cross-border price gaps. --- ### What you get - 🔁 **Multi-market in one run.** Search `www.vinted.de`, `www.vinted.fr`, `www.vinted.es` together and compare. Vinted prices the same item differently per country — that gap is the arbitrage. - 💶 **Real prices.** Listing price **and** total price including the Buyer Protection fee, with currency. - 🏷️ **Item attributes.** Brand, size, condition, and main photo. - 🔥 **Demand signals.** `favourites` per listing — a fast read on what's hot vs. stale. - 👤 **Seller info.** Username, profile URL, and a `business` flag to separate pro sellers from casual ones. ### Who it's for - **Resellers & flippers** finding underpriced items and cross-market arbitrage - **Resale & secondhand-fashion analysts** tracking prices, brands, and demand - **Brands** monitoring how their products trade on the secondhand market - **Dropshippers & sourcing teams** building product and price datasets ### Input | Field | Type | Required | Description | |-------|------|----------|-------------| | `searchText` | string | ✅ | What to search for, e.g. `nike air max 90`. | | `markets` | array | optional | Vinted country domains to search. Add several to compare across markets. Default `["www.vinted.com"]`. | | `order` | select | optional | `relevance`, `newest_first`, `price_low_to_high`, `price_high_to_low`. | | `priceFrom` / `priceTo` | number | optional | Price bounds in the market's currency. | | `maxItemsPerMarket` | number | optional | Listings to scrape per market (default 100). | ```json { "searchText": "nike air max 90", "markets": ["www.vinted.de", "www.vinted.fr", "www.vinted.es"], "order": "relevance", "maxItemsPerMarket": 100 } ```` ### Output One row per listing. Example: | title | price | currency | total\_price | brand | size | condition | favourites | seller\_is\_business | market | |-------|-------|----------|-------------|-------|------|-----------|-----------|--------------------|--------| | Nike Air Max 90 Iron Grey | 115.0 | EUR | 121.45 | Nike Air | 42.5 | New | 14 | false | www.vinted.de | | Nike Air Max 90 | 90.0 | EUR | 95.2 | Nike | 45 | New with tags | 7 | false | www.vinted.de | Export to CSV, JSON, or Excel, or pull via the Apify API. ### Pricing Pay per result — you're charged only for the listings actually scraped. A 100-item search costs a few cents; a full multi-market sweep stays well under a dollar. ### Notes - Only public listing data is collected. Respect Vinted's Terms of Service and applicable laws when using the output. - For large or frequent runs, set Evomi residential proxy credentials as Actor secrets (`EVOMI_PROXY_*`) to avoid rate limits; small runs work without a proxy. # Actor input Schema ## `searchText` (type: `string`): What to search for on Vinted, e.g. "nike air max 90", "levi 501", "prada bag". ## `markets` (type: `array`): Vinted national markets to search. Add several to compare prices across countries (arbitrage). Examples: www.vinted.com, www.vinted.de, www.vinted.fr, www.vinted.es, www.vinted.it, www.vinted.co.uk, www.vinted.pl, www.vinted.nl. ## `order` (type: `string`): How to sort results. ## `priceFrom` (type: `integer`): Lower price bound (in the market's currency). Leave empty for no minimum. ## `priceTo` (type: `integer`): Upper price bound (in the market's currency). Leave empty for no maximum. ## `currency` (type: `string`): Force a currency code (e.g. EUR, GBP, PLN). Usually leave empty — each market uses its own. ## `maxItemsPerMarket` (type: `integer`): How many listings to scrape per market. ## Actor input object example ```json { "searchText": "nike air max 90", "markets": [ "www.vinted.de", "www.vinted.fr" ], "order": "relevance", "maxItemsPerMarket": 100 } ``` # 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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "searchText": "nike air max 90", "markets": [ "www.vinted.de", "www.vinted.fr" ], "maxItemsPerMarket": 100 }; // Run the Actor and wait for it to finish const run = await client.actor("ruslanzotkin/vinted-marketplace-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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "searchText": "nike air max 90", "markets": [ "www.vinted.de", "www.vinted.fr", ], "maxItemsPerMarket": 100, } # Run the Actor and wait for it to finish run = client.actor("ruslanzotkin/vinted-marketplace-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 '{ "searchText": "nike air max 90", "markets": [ "www.vinted.de", "www.vinted.fr" ], "maxItemsPerMarket": 100 }' | apify call ruslanzotkin/vinted-marketplace-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ruslanzotkin/vinted-marketplace-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Vinted Scraper — Listings, Prices & Seller Data", "description": "💰 $2.00/1,000 listings. Scrape Vinted by keyword across 20+ national markets in one run — price, total price (incl. fee), brand, size, condition, favourites & seller info. No API key. For resellers, price arbitrage & resale research. 🤖 MCP-ready: usable by AI agents via Apify's MCP server.", "version": "0.1", "x-build-id": "hNChZdymc0N3oyjf9" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ruslanzotkin~vinted-marketplace-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ruslanzotkin-vinted-marketplace-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/ruslanzotkin~vinted-marketplace-scraper/runs": { "post": { "operationId": "runs-sync-ruslanzotkin-vinted-marketplace-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/ruslanzotkin~vinted-marketplace-scraper/run-sync": { "post": { "operationId": "run-sync-ruslanzotkin-vinted-marketplace-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", "required": [ "searchText" ], "properties": { "searchText": { "title": "Search keyword", "type": "string", "description": "What to search for on Vinted, e.g. \"nike air max 90\", \"levi 501\", \"prada bag\"." }, "markets": { "title": "Markets (country domains)", "type": "array", "description": "Vinted national markets to search. Add several to compare prices across countries (arbitrage). Examples: www.vinted.com, www.vinted.de, www.vinted.fr, www.vinted.es, www.vinted.it, www.vinted.co.uk, www.vinted.pl, www.vinted.nl.", "items": { "type": "string" } }, "order": { "title": "Sort order", "enum": [ "relevance", "newest_first", "price_low_to_high", "price_high_to_low" ], "type": "string", "description": "How to sort results.", "default": "relevance" }, "priceFrom": { "title": "Min price", "type": "integer", "description": "Lower price bound (in the market's currency). Leave empty for no minimum." }, "priceTo": { "title": "Max price", "type": "integer", "description": "Upper price bound (in the market's currency). Leave empty for no maximum." }, "currency": { "title": "Currency (optional)", "type": "string", "description": "Force a currency code (e.g. EUR, GBP, PLN). Usually leave empty — each market uses its own." }, "maxItemsPerMarket": { "title": "Max items per market", "minimum": 1, "maximum": 5000, "type": "integer", "description": "How many listings to scrape per market." } } }, "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 } } } } } } } } } } ```