# Vinted Item Details Scraper (`thescrappa/vinted-item-details-scraper`) Actor Enrich Vinted item IDs with full listing details including description, price, photos, seller, category, condition, favorites, views, and availability. Built as a thin Scrappa-powered companion to Vinted Search. - **URL**: https://apify.com/thescrappa/vinted-item-details-scraper.md - **Developed by:** [Scrappa](https://apify.com/thescrappa) (community) - **Categories:** E-commerce, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $0.25 / 1,000 item detail 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 Item Details Scraper Fetch full Vinted listing details for one item ID or a batch of item IDs through Scrappa. Use it after Vinted Search to enrich selected listings with descriptions, prices, photos, seller information, condition, availability, favorites, views, and request metadata. This actor is intended for paid pay-per-result pricing with the `item-detail-result` event. Recommended launch pricing is **$0.25-$0.30 per 1,000 successful Vinted item detail results** so users pay for usable detail rows, not failed lookups or empty runs. ### Features - Fetch one Vinted item or batch up to 50 item IDs in one Apify run - Target 19 Vinted markets: France, Germany, Spain, Italy, Netherlands, Belgium, Austria, Poland, Czech Republic, Lithuania, Luxembourg, Slovakia, Hungary, Romania, Portugal, Sweden, Denmark, Finland, or United States - Push one dataset item per processed item ID - Charge only successful item detail results with the `item-detail-result` event - Return uncharged error rows for item-level failures such as expired or unavailable IDs - Keep scraping work on Scrappa infrastructure with a thin Apify wrapper ### Input | Field | Type | Required | Description | |-------|------|----------|-------------| | `item_id` | string | No | Single Vinted item ID | | `item_ids` | array | No | Batch of Vinted item IDs. Maximum `50` IDs per run | | `country` | string | No | Vinted country code. Default `FR` | Provide at least one ID through `item_id` or `item_ids`. If both fields are provided, duplicate IDs are processed once. ### Example Input ```json { "country": "DE", "item_ids": ["1234567890", "1234567891", "1234567892"] } ```` ### Output Each processed item ID is saved as one dataset item. Successful rows include normalized fields plus the original Scrappa detail payload: ```json { "id": "1234567890", "title": "Nike Air Max 90", "description": "Very good condition...", "price_amount": "45.00", "price_currency": "EUR", "brand_name": "Nike", "category_name": "Shoes", "size_name": "EU 42", "condition": "Very good", "availability": "available", "url": "https://www.vinted.de/items/1234567890-nike-air-max-90", "image_url": "https://images1.vinted.net/t/01_example/image.jpg", "seller_login": "seller123", "favourite_count": 15, "view_count": 234, "request_item_id": "1234567890", "request_country": "DE", "request_index": 0, "request_success": true } ``` If a specific item ID fails while the Scrappa API and actor are healthy, the actor writes an uncharged row with `request_success: false` and `error_message` so batch outputs still line up with the requested IDs. The `OUTPUT` key-value-store record contains only the run summary: requested count, successful result count, failed item count, and country. Dataset rows are the primary output channel. ### Notes Vinted does not provide a public developer API. This actor returns public marketplace listing data through Scrappa's structured Vinted item details endpoint. For search, seller profiles, shipping data, similar items, higher-volume access, or direct API usage, use Scrappa at https://scrappa.co. # Actor input Schema ## `item_id` (type: `string`): Single Vinted item ID. Use item\_ids for batches discovered from Vinted Search. ## `item_ids` (type: `array`): Batch of Vinted item IDs. One dataset row is written per processed ID. Maximum 50 IDs per run. ## `country` (type: `string`): Vinted country market. ## Actor input object example ```json { "item_id": "1234567890", "country": "FR" } ``` # 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 = { "item_id": "1234567890" }; // Run the Actor and wait for it to finish const run = await client.actor("thescrappa/vinted-item-details-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 = { "item_id": "1234567890" } # Run the Actor and wait for it to finish run = client.actor("thescrappa/vinted-item-details-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 '{ "item_id": "1234567890" }' | apify call thescrappa/vinted-item-details-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=thescrappa/vinted-item-details-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Vinted Item Details Scraper", "description": "Enrich Vinted item IDs with full listing details including description, price, photos, seller, category, condition, favorites, views, and availability. Built as a thin Scrappa-powered companion to Vinted Search.", "version": "1.0", "x-build-id": "wYdxM6iqrulBmsaeJ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/thescrappa~vinted-item-details-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-thescrappa-vinted-item-details-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/thescrappa~vinted-item-details-scraper/runs": { "post": { "operationId": "runs-sync-thescrappa-vinted-item-details-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/thescrappa~vinted-item-details-scraper/run-sync": { "post": { "operationId": "run-sync-thescrappa-vinted-item-details-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "item_id": { "title": "Item ID", "pattern": "^\\d+$", "maxLength": 32, "type": "string", "description": "Single Vinted item ID. Use item_ids for batches discovered from Vinted Search." }, "item_ids": { "title": "Item IDs", "maxItems": 50, "type": "array", "description": "Batch of Vinted item IDs. One dataset row is written per processed ID. Maximum 50 IDs per run.", "items": { "type": "string", "pattern": "^\\d+$", "maxLength": 32 } }, "country": { "title": "Country", "enum": [ "FR", "DE", "ES", "IT", "NL", "BE", "AT", "PL", "CZ", "LT", "LU", "SK", "HU", "RO", "PT", "SE", "DK", "FI", "US" ], "type": "string", "description": "Vinted country market.", "default": "FR" } } }, "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 } } } } } } } } } } ```