# Vinted Price Checker — Market Price & Demand Stats (`jpmarketdata/vinted-price-checker`) Actor Get instant price statistics (median, average, range) plus favourite-count demand signals for any search on Vinted. One call answers: what is this item going for on Vinted? - **URL**: https://apify.com/jpmarketdata/vinted-price-checker.md - **Developed by:** [h ichi](https://apify.com/jpmarketdata) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 0 monthly users, 62.5% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $20.00 / 1,000 keyword price analyses 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 Price Checker — Market Price & Demand Stats **One call answers: "What is this item actually going for on Vinted — and does anyone want it?"** Instead of dumping hundreds of raw listings on you, this Actor samples live listings for your keywords on the Vinted market of your choice and returns a ready-to-use price summary — median, average, quartiles, price range — plus a **demand-heat signal** (favourite-count statistics), and the individual listings if you want them. ### Why price stats? Vinted is Europe's biggest second-hand fashion marketplace (and growing fast in the US). Whether you resell, source cross-border, or price your own wardrobe, the question is always the same: what's the going rate? This Actor turns one keyword into structured market intelligence: - **Price before you list or buy** — median and quartiles from real live listings - **Spot cross-market gaps** — compare vinted.fr vs vinted.com vs vinted.co.uk prices (USD conversion included) - **Read demand, not just supply** — favourite-count stats show what actually attracts buyers - **Feed your AI agent or spreadsheet** — clean JSON ### Input example ```json { "keywords": ["leica m6", "carhartt detroit jacket"], "domain": "fr", "maxItemsPerKeyword": 120, "convertToUsd": true } ```` ### Output One `price_summary` record per keyword: ```json { "type": "price_summary", "keyword": "leica m6", "domain": "vinted.fr", "status": "on_sale", "totalListingsFound": 151, "sampledListings": 120, "currency": "EUR", "price": { "min": 45, "p25": 320, "median": 1150, "p75": 1890, "max": 3500, "average": 1214 }, "priceUsd": { "min": 48.9, "p25": 347.7, "median": 1249.5, "p75": 2053.4, "max": 3803.5, "average": 1319.1 }, "favouriteCountStats": { "min": 0, "p25": 1, "median": 4, "p75": 11, "max": 87, "average": 8 }, "checkedAt": "2026-07-03T12:00:00+00:00" } ``` Plus (optional) every sampled listing with title, price, brand, size, condition, favourites, photo, and a direct vinted URL. Note: Vinted search returns **live listings only**, so statistics reflect asking prices. Favourite counts are your demand signal. ### Use with AI agents Works out of the box with the [Apify MCP server](https://mcp.apify.com), so Claude, ChatGPT, and other MCP-enabled agents can check Vinted market prices autonomously — for example inside a sourcing, repricing, or arbitrage workflow. ### Fair use & data - Reads only **publicly visible listing data** — no login, no seller personal data - Requests are throttled to keep the load on Vinted negligible - Not affiliated with Vinted. Data is provided for market research; verify before large transactions ### Roadmap Sold-listing detection, brand/size filters, and multi-market comparison in one call. Feedback via issues is very welcome — tell me what your workflow needs. # Actor input Schema ## `keywords` (type: `array`): One or more search queries (e.g. 'leica m6', 'nike dunk low', 'carhartt jacket'). Each keyword gets its own price summary. ## `domain` (type: `string`): Which national Vinted marketplace to search. The market decides the listings and the currency (com = USD, fr/de/es/it/nl = EUR, co.uk = GBP, pl = PLN). ## `maxItemsPerKeyword` (type: `integer`): How many listings to sample per keyword. 96 = one result page. More items = better statistics but higher cost. ## `priceMin` (type: `integer`): Optional lower price bound (in the market's currency). Useful to exclude junk listings from the statistics. ## `priceMax` (type: `integer`): Optional upper price bound (in the market's currency). ## `includeIndividualItems` (type: `boolean`): If enabled, every sampled listing is also pushed to the dataset (title, price, brand, size, condition, favourites, URL, photo). Disable to get only the per-keyword price summary. ## `convertToUsd` (type: `boolean`): Adds USD prices next to the native currency using the current exchange rate (open.er-api.com). ## Actor input object example ```json { "keywords": [ "leica m6" ], "domain": "com", "maxItemsPerKeyword": 120, "includeIndividualItems": true, "convertToUsd": true } ``` # 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 = { "keywords": [ "leica m6" ] }; // Run the Actor and wait for it to finish const run = await client.actor("jpmarketdata/vinted-price-checker").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 = { "keywords": ["leica m6"] } # Run the Actor and wait for it to finish run = client.actor("jpmarketdata/vinted-price-checker").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 '{ "keywords": [ "leica m6" ] }' | apify call jpmarketdata/vinted-price-checker --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jpmarketdata/vinted-price-checker", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Vinted Price Checker — Market Price & Demand Stats", "description": "Get instant price statistics (median, average, range) plus favourite-count demand signals for any search on Vinted. One call answers: what is this item going for on Vinted?", "version": "0.1", "x-build-id": "dWUGnklHdDUGoLm8O" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jpmarketdata~vinted-price-checker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jpmarketdata-vinted-price-checker", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jpmarketdata~vinted-price-checker/runs": { "post": { "operationId": "runs-sync-jpmarketdata-vinted-price-checker", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jpmarketdata~vinted-price-checker/run-sync": { "post": { "operationId": "run-sync-jpmarketdata-vinted-price-checker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "keywords" ], "properties": { "keywords": { "title": "Search keywords", "type": "array", "description": "One or more search queries (e.g. 'leica m6', 'nike dunk low', 'carhartt jacket'). Each keyword gets its own price summary.", "items": { "type": "string" } }, "domain": { "title": "Vinted market", "enum": [ "com", "fr", "de", "co.uk", "es", "it", "nl", "pl" ], "type": "string", "description": "Which national Vinted marketplace to search. The market decides the listings and the currency (com = USD, fr/de/es/it/nl = EUR, co.uk = GBP, pl = PLN).", "default": "com" }, "maxItemsPerKeyword": { "title": "Max items per keyword", "minimum": 30, "maximum": 600, "type": "integer", "description": "How many listings to sample per keyword. 96 = one result page. More items = better statistics but higher cost.", "default": 120 }, "priceMin": { "title": "Min price", "minimum": 0, "type": "integer", "description": "Optional lower price bound (in the market's currency). Useful to exclude junk listings from the statistics." }, "priceMax": { "title": "Max price", "minimum": 0, "type": "integer", "description": "Optional upper price bound (in the market's currency)." }, "includeIndividualItems": { "title": "Include individual listings", "type": "boolean", "description": "If enabled, every sampled listing is also pushed to the dataset (title, price, brand, size, condition, favourites, URL, photo). Disable to get only the per-keyword price summary.", "default": true }, "convertToUsd": { "title": "Convert prices to USD", "type": "boolean", "description": "Adds USD prices next to the native currency using the current exchange rate (open.er-api.com).", "default": true } } }, "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 } } } } } } } } } } ```