# Vinted Scraper โ€“ Second-Hand Fashion Listings (`ninhothedev/vinted-scraper`) Actor Scrape Vinted second-hand fashion via its catalog API. Paste a catalog URL or set filters (search, price, brand, category, size) and get title, brand, price (+ total with buyer protection), size, condition, seller and photos. 20 countries, fast, no proxy. - **URL**: https://apify.com/ninhothedev/vinted-scraper.md - **Developed by:** [ninhothedev](https://apify.com/ninhothedev) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 results 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 โ€“ Second-Hand Fashion Listings & Prices **Scrape second-hand fashion from Vinted across 20 countries. Get title, brand, price (+ total with buyer protection), size, condition, seller and all photos as JSON, CSV or Excel. Paste a catalog URL or set filters โ€” fast, no proxy.** ### ๐Ÿ’ต Pricing **Pay per result โ€” $0.001 per item.** No subscription, no proxy needed. You only pay for the data you scrape, and new Apify accounts include free monthly credits so you can test it for **$0**. ### ๐Ÿ”Ž What can it extract? - Title, brand, **price + total price** (incl. buyer protection) - Size, condition (status), service fee - Seller login, ID & **business flag** - Favourites, views, all photos - Country & direct item URL ### ๐Ÿš€ How do I use it? 1. Click **Try for free**. 2. Set the input (see example below). 3. Click **Start** and download results as JSON, CSV or Excel โ€” or pull them via the API / schedule them. ### โš™๏ธ Input example ```json { "searchUrls": [ "https://www.vinted.de/catalog?search_text=nike%20air%20max" ], "maxItemsPerSearch": 200 } ```` ### ๐Ÿ“ฆ Output example ```json { "brand": "Nike Air", "price": 75.0, "total_price": 79.45, "currency": "EUR", "size": "40", "status": "New with tags", "is_business": false, "favourite_count": 12 } ``` ### ๐ŸŽฏ Use cases - **Resale & arbitrage** โ€” find underpriced items vs. brand/size median - Price & trend monitoring for fashion resale - Sourcing inventory for resellers - Brand & condition market analysis ### ๐Ÿ’ฐ How much will it cost? You pay only the per-result price (no proxy cost): 100 โ†’ ~$0.1 ยท 1,000 โ†’ ~$1 ยท 10,000 โ†’ ~$10 ### ๐Ÿ†š Why this one | Feature | This actor | Others | |---|---|---| | 20 country sites | โœ… | few | | Total price incl. buyer protection | โœ… | โŒ | | Business-seller flag + favourites | โœ… | โŒ | | No proxy needed | โœ… | sometimes paid | ### ๐Ÿ”— Related actors - [Autoscout24 Scraper](https://apify.com/ninhothedev/autoscout24-scraper) โ€” cars - [Shopify Store Scraper](https://apify.com/ninhothedev/shopify-store-scraper) โ€” store products - [Amazon Product Scraper](https://apify.com/ninhothedev/amazon-product-scraper) โ€” Amazon - [Upc Barcode Lookup Scraper](https://apify.com/ninhothedev/upc-barcode-lookup-scraper) โ€” barcodes ### โ“ FAQ **Proxy/key?** No. **Countries?** 20 Vinted sites. **Catalog URL?** Open vinted.xx, filter, copy the URL. ### ๐Ÿ›Ÿ Support Found a bug or need an extra field? Open an issue on the actor โ€” fixes and new fields ship fast. ### Legal & privacy Public listing data. Seller usernames are public; don't use for unsolicited contact. *** **Keywords:** vinted scraper, second-hand fashion, resale data, clothing, sneakers, price monitoring, europe, JSON CSV Excel # Actor input Schema ## `searchUrls` (type: `array`): One or more Vinted catalog URLs (any country), e.g. https://www.vinted.de/catalog?search\_text=nike. Open vinted.de (or .fr/.com/.co.uk/...), set your filters, and copy the URL. If empty, the filters below are used. ## `country` (type: `string`): Vinted country site to search (used only when no Search URLs are given). ## `searchText` (type: `string`): Keywords, e.g. 'nike air max' or 'levi 501'. ## `priceFrom` (type: `integer`): Minimum price in the site currency. ## `priceTo` (type: `integer`): Maximum price in the site currency. ## `currency` (type: `string`): Currency for the price filter and output. ## `order` (type: `string`): How to sort the catalog. ## `catalogIds` (type: `array`): Vinted category (catalog) IDs to restrict to. Find them in a catalog URL (catalog\[]=...). Advanced. ## `brandIds` (type: `array`): Vinted brand IDs (from a catalog URL, brand\_ids\[]=...). Advanced. ## `sizeIds` (type: `array`): Vinted size IDs (from a catalog URL, size\_ids\[]=...). Advanced. ## `maxItemsPerSearch` (type: `integer`): Cap the items scraped per search (controls cost & runtime). ## `proxyConfiguration` (type: `object`): Proxy settings. Vinted needs no proxy for normal use; add one only for very high volume. ## Actor input object example ```json { "searchUrls": [ "https://www.vinted.de/catalog?search_text=nike%20air%20max&order=newest_first" ], "country": "de", "currency": "EUR", "order": "newest", "catalogIds": [], "brandIds": [], "sizeIds": [], "maxItemsPerSearch": 200, "proxyConfiguration": { "useApifyProxy": false } } ``` # Actor output Schema ## `items` (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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "searchUrls": [ "https://www.vinted.de/catalog?search_text=nike%20air%20max&order=newest_first" ], "maxItemsPerSearch": 200, "proxyConfiguration": { "useApifyProxy": false } }; // Run the Actor and wait for it to finish const run = await client.actor("ninhothedev/vinted-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 = { "searchUrls": ["https://www.vinted.de/catalog?search_text=nike%20air%20max&order=newest_first"], "maxItemsPerSearch": 200, "proxyConfiguration": { "useApifyProxy": False }, } # Run the Actor and wait for it to finish run = client.actor("ninhothedev/vinted-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "searchUrls": [ "https://www.vinted.de/catalog?search_text=nike%20air%20max&order=newest_first" ], "maxItemsPerSearch": 200, "proxyConfiguration": { "useApifyProxy": false } }' | apify call ninhothedev/vinted-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ninhothedev/vinted-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Vinted Scraper โ€“ Second-Hand Fashion Listings", "description": "Scrape Vinted second-hand fashion via its catalog API. Paste a catalog URL or set filters (search, price, brand, category, size) and get title, brand, price (+ total with buyer protection), size, condition, seller and photos. 20 countries, fast, no proxy.", "version": "1.0", "x-build-id": "5WWWD6X4d1ASH4eH9" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ninhothedev~vinted-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ninhothedev-vinted-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/ninhothedev~vinted-scraper/runs": { "post": { "operationId": "runs-sync-ninhothedev-vinted-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/ninhothedev~vinted-scraper/run-sync": { "post": { "operationId": "run-sync-ninhothedev-vinted-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": { "searchUrls": { "title": "Vinted catalog URLs", "type": "array", "description": "One or more Vinted catalog URLs (any country), e.g. https://www.vinted.de/catalog?search_text=nike. Open vinted.de (or .fr/.com/.co.uk/...), set your filters, and copy the URL. If empty, the filters below are used.", "default": [], "items": { "type": "string" } }, "country": { "title": "Country", "enum": [ "de", "fr", "com", "gb", "it", "es", "nl", "be", "pl", "at", "lt", "cz", "sk", "pt", "se" ], "type": "string", "description": "Vinted country site to search (used only when no Search URLs are given).", "default": "de" }, "searchText": { "title": "Search text", "type": "string", "description": "Keywords, e.g. 'nike air max' or 'levi 501'." }, "priceFrom": { "title": "Min price", "minimum": 0, "type": "integer", "description": "Minimum price in the site currency." }, "priceTo": { "title": "Max price", "minimum": 0, "type": "integer", "description": "Maximum price in the site currency." }, "currency": { "title": "Currency", "enum": [ "EUR", "GBP", "PLN", "CZK", "SEK" ], "type": "string", "description": "Currency for the price filter and output.", "default": "EUR" }, "order": { "title": "Sort order", "enum": [ "newest", "relevance", "price_low_to_high", "price_high_to_low" ], "type": "string", "description": "How to sort the catalog.", "default": "newest" }, "catalogIds": { "title": "Category IDs", "type": "array", "description": "Vinted category (catalog) IDs to restrict to. Find them in a catalog URL (catalog[]=...). Advanced.", "default": [], "items": { "type": "string" } }, "brandIds": { "title": "Brand IDs", "type": "array", "description": "Vinted brand IDs (from a catalog URL, brand_ids[]=...). Advanced.", "default": [], "items": { "type": "string" } }, "sizeIds": { "title": "Size IDs", "type": "array", "description": "Vinted size IDs (from a catalog URL, size_ids[]=...). Advanced.", "default": [], "items": { "type": "string" } }, "maxItemsPerSearch": { "title": "Max results per search", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Cap the items scraped per search (controls cost & runtime).", "default": 200 }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "Proxy settings. Vinted needs no proxy for normal use; add one only for very high volume.", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```