# Vinted Product Scraper (`sync-network/vinted-product-scraper`) Actor Scrapes product listings from Vinted UK. Supports text search and category URLs. Outputs title, brand, size, condition, price, seller info, and more. - **URL**: https://apify.com/sync-network/vinted-product-scraper.md - **Developed by:** [Alam](https://apify.com/sync-network) (community) - **Categories:** E-commerce, Automation, Developer tools - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 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 Product Scraper Extract product listings from [Vinted UK](https://www.vinted.co.uk) at scale. Search by keyword or browse entire categories. Each result includes the title, brand, size, condition, price in GBP, engagement metrics, seller info, and direct product URL — ready for reselling research, price monitoring, or market analysis. --- ### Features - **Text search** — query any keyword (e.g. `"nike air max"`, `"vintage levi"`) - **Category scraping** — pass any Vinted catalog URL directly - **Seller profiles** — optional username, ratings, and item count per listing - **Robust error handling** — 403 cookie refresh, 429 exponential backoff - **Pagination** — automatically pages through results up to your `maxItems` limit - **Pay-per-event pricing** — only pay for what you actually scrape ($0.002/item) --- ### Input | Field | Type | Default | Description | |---|---|---|---| | `searchQueries` | `string[]` | `[]` | Search terms to query | | `categoryUrls` | `string[]` | `[]` | Direct Vinted catalog URLs | | `maxItems` | `integer` | `100` | Total items to scrape across all sources | | `includeSellerInfo` | `boolean` | `true` | Attach seller profile to each result | | `country` | `string` | `"united_kingdom"` | Target country (UK only) | At least one `searchQuery` or `categoryUrl` is required. #### Example Input ```json { "searchQueries": ["nike dunks", "stone island jacket"], "categoryUrls": ["https://www.vinted.co.uk/catalog/4-tops"], "maxItems": 500, "includeSellerInfo": true } ```` *** ### Output One JSON record per listing is pushed to the Apify dataset. ```json { "id": "4821736291", "title": "Nike Dunk Low Retro White Black Panda", "brand": "Nike", "size": "UK 9", "condition": "Good", "price": 85.0, "currency": "GBP", "buyerProtectionPrice": 6.0, "favouriteCount": 42, "imageUrl": "https://images1.vinted.net/t/…/image.jpg", "productUrl": "https://www.vinted.co.uk/items/4821736291-nike-dunk-low", "category": "Trainers", "seller": { "id": "12345678", "login": "sneakerhead_uk", "profileUrl": "https://www.vinted.co.uk/member/12345678-sneakerhead_uk", "itemCount": 47, "positiveRating": 38, "totalRating": 40 }, "scrapedAt": "2026-04-04T12:00:00+00:00", "sourceUrl": "https://www.vinted.co.uk/catalog?search_text=nike+dunks" } ``` #### Output Field Reference | Field | Type | Description | |---|---|---| | `id` | string | Vinted internal listing ID | | `title` | string | Listing title as posted by seller | | `brand` | string | Brand name (may be null if not specified) | | `size` | string | Size label (e.g. "M", "UK 10", "36") | | `condition` | string | Item condition (e.g. "New with tags", "Good", "Satisfactory") | | `price` | number | Asking price in GBP | | `currency` | string | Currency code (always `"GBP"` for UK) | | `buyerProtectionPrice` | number | Vinted buyer protection fee in GBP | | `favouriteCount` | integer | Number of users who have favourited this listing | | `imageUrl` | string | URL of the primary listing photo | | `productUrl` | string | Direct URL to the listing on Vinted | | `category` | string | Vinted category name | | `seller.id` | string | Seller's Vinted user ID | | `seller.login` | string | Seller's username | | `seller.profileUrl` | string | Seller's profile page URL | | `seller.itemCount` | integer | Number of active listings from seller | | `seller.positiveRating` | number | Count of positive reviews | | `seller.totalRating` | integer | Total review count | | `scrapedAt` | string | ISO-8601 UTC timestamp of when the item was scraped | | `sourceUrl` | string | The search/category URL that produced this item | *** ### Use Cases #### Reselling & Arbitrage Find underpriced items to flip on other platforms. Search for specific brands and filter the output by `price` and `favouriteCount` to find high-demand, low-price listings before they sell. ```json { "searchQueries": ["supreme hoodie", "bape tshirt"], "maxItems": 1000 } ``` #### Price Monitoring Track how prices for a specific item change over time. Schedule the actor daily and compare `price` values across runs. ```json { "searchQueries": ["jordan 1 retro high og"], "maxItems": 200, "includeSellerInfo": false } ``` #### Market Research Understand the supply/demand landscape for a category. Scrape a whole category, then aggregate by `brand`, `condition`, or `size` in your spreadsheet or BI tool. ```json { "categoryUrls": [ "https://www.vinted.co.uk/catalog/1231-sneakers-trainers" ], "maxItems": 5000 } ``` #### Competitor Analysis Monitor what a specific type of seller is listing. Cross-reference `seller.login` and `seller.itemCount` to find high-volume resellers in a niche. *** ### Pricing This actor uses **pay-per-event** pricing. | Event | Price | |---|---| | Item scraped | **$0.002** | **Examples:** - 100 items → ~$0.20 - 1,000 items → ~$2.00 - 10,000 items → ~$20.00 This is significantly cheaper than most Vinted scrapers on the marketplace. *** ### Tips for Avoiding Rate Limits Vinted rate-limits aggressive scrapers. The actor already handles this automatically, but here are additional tips: 1. **Keep `maxItems` under 1,000 per run** for searches — larger datasets are better served via category URLs which spread load. 2. **Use multiple smaller runs** rather than one giant run (e.g. 5 × 1,000 items instead of 1 × 5,000). 3. **Schedule runs during off-peak hours** (e.g. 2–6 AM UTC) to reduce competition with real users. 4. **Don't scrape the same query back-to-back** — rotate between different queries or categories. 5. **Use Apify Proxy** if you run into persistent 403 errors on datacenter IPs — residential proxies resolve most blocks. *** ### Finding Category URLs 1. Go to [vinted.co.uk](https://www.vinted.co.uk) 2. Browse to any category (e.g. Women > Tops) 3. Copy the URL from your browser — it will look like: `https://www.vinted.co.uk/catalog/4-tops` 4. Paste it directly into `categoryUrls` The numeric ID before the slug (e.g. `4` in `4-tops`) is what the actor uses internally. *** ### Technical Details - Built on the [`vinted_scraper`](https://pypi.org/project/vinted_scraper/) library (Giglium) - Calls Vinted's internal `/api/v2/catalog/items` endpoint - Automatically handles `access_token_web` cookie authentication - 403 errors trigger a full cookie refresh (up to 3 attempts) - 429 errors trigger exponential backoff: 5s → 15s → 45s - Python 3.12, Apify SDK 2.x *** ### Limitations - **UK only**: This actor targets `vinted.co.uk`. For other countries, you would need separate actors with the appropriate base URL. - **No single-item detail**: The Vinted `item()` detail endpoint returns 403 frequently from non-residential IPs, so all data comes from search/catalog results. - **Image quality**: Images are thumbnails from search results, not full-resolution gallery images. - **Dynamic availability**: Vinted listings sell fast. The `productUrl` may be unavailable by the time you access it. # Actor input Schema ## `searchQueries` (type: `array`): List of search terms to look up on Vinted UK. Example: \["nike dunks", "levi jeans"] ## `categoryUrls` (type: `array`): Direct Vinted UK category URLs to scrape. Example: https://www.vinted.co.uk/catalog/10-robes ## `maxItems` (type: `integer`): Maximum total number of listings to scrape across all queries and categories. ## `includeSellerInfo` (type: `boolean`): When enabled, each result includes the seller's username, profile URL, item count, and ratings. ## `country` (type: `string`): Target Vinted country (informational — this actor always targets Vinted UK). ## Actor input object example ```json { "searchQueries": [ "nike dunks", "vintage levi jeans", "north face jacket" ], "categoryUrls": [ "https://www.vinted.co.uk/catalog/10-robes", "https://www.vinted.co.uk/catalog/4-tops" ], "maxItems": 10, "includeSellerInfo": true, "country": "united_kingdom" } ``` # Actor output Schema ## `results` (type: `string`): Scraped product listings including title, brand, size, condition, price, seller info, and URLs. # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("sync-network/vinted-product-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 = {} # Run the Actor and wait for it to finish run = client.actor("sync-network/vinted-product-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 '{}' | apify call sync-network/vinted-product-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=sync-network/vinted-product-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Vinted Product Scraper", "description": "Scrapes product listings from Vinted UK. Supports text search and category URLs. Outputs title, brand, size, condition, price, seller info, and more.", "version": "1.0", "x-build-id": "ayS12ZuvsG7no74cv" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/sync-network~vinted-product-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-sync-network-vinted-product-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/sync-network~vinted-product-scraper/runs": { "post": { "operationId": "runs-sync-sync-network-vinted-product-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/sync-network~vinted-product-scraper/run-sync": { "post": { "operationId": "run-sync-sync-network-vinted-product-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": { "searchQueries": { "title": "Search Queries", "type": "array", "description": "List of search terms to look up on Vinted UK. Example: [\"nike dunks\", \"levi jeans\"]", "default": [ "nike air max" ], "items": { "type": "string" } }, "categoryUrls": { "title": "Category URLs", "type": "array", "description": "Direct Vinted UK category URLs to scrape. Example: https://www.vinted.co.uk/catalog/10-robes", "default": [], "items": { "type": "string" } }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum total number of listings to scrape across all queries and categories.", "default": 10 }, "includeSellerInfo": { "title": "Include Seller Info", "type": "boolean", "description": "When enabled, each result includes the seller's username, profile URL, item count, and ratings.", "default": true }, "country": { "title": "Country", "enum": [ "united_kingdom" ], "type": "string", "description": "Target Vinted country (informational — this actor always targets Vinted UK).", "default": "united_kingdom" } } }, "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 } } } } } } } } } } ```