# Mytheresa Luxury Fashion Scraper (`crawlerbros/mytheresa-scraper`) Actor Scrape luxury fashion product listings from Mytheresa.com - one of the world's leading multi-brand luxury retailers. Get product names, designers, prices, images, sizes, and categories across women's, men's, kids', and lifestyle departments. - **URL**: https://apify.com/crawlerbros/mytheresa-scraper.md - **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community) - **Categories:** E-commerce, Automation, Agents - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ## Mytheresa Luxury Fashion Scraper Extract product listings from [Mytheresa.com](https://www.mytheresa.com/) — one of the world's leading multi-brand luxury online fashion retailers, offering pieces from 200+ designer brands including Gucci, Prada, Bottega Veneta, Saint Laurent, Valentino, and more. ### What This Scraper Does This actor scrapes luxury fashion product listings including name, designer, price, category, color, description, images, available sizes, and availability status. Supports browsing new arrivals by department or filtering by designer. Data is extracted from the portal's embedded server-side state — no authentication required. ### Use Cases - **Luxury market research** — analyze prices, trends, and availability across top designer brands - **Price monitoring** — track pricing changes for specific designers or product categories - **Trend analysis** — identify new season arrivals and emerging designer focus areas - **Competitive intelligence** — compare luxury retail assortment and pricing strategies ### Input | Field | Type | Description | |-------|------|-------------| | `mode` | string | `newArrivals` (default), `byDesigner`, or `byUrl` | | `department` | string | `women`, `men`, `kids`, or `life` | | `designer` | string | Designer slug for mode=byDesigner (e.g. 'gucci', 'prada', 'saint-laurent') | | `listingUrls` | array | Specific page URLs (mode=byUrl) | | `maxItems` | integer | Max records (1–500, default 20) | #### Example Input ```json { "mode": "newArrivals", "department": "women", "maxItems": 5 } ```` #### Example — By Designer ```json { "mode": "byDesigner", "designer": "gucci", "maxItems": 10 } ``` ### Output | Field | Description | |-------|-------------| | `sku` | Unique product SKU | | `name` | Product name | | `designer` | Brand/designer name | | `designerUrl` | Designer profile URL on Mytheresa | | `productUrl` | Link to product page | | `department` | Department (women / men / kids / life) | | `category` | Product category (e.g. fine jewelry, shoes, bags) | | `combinedCategoryName` | Full category hierarchy (e.g. Clothing::Dresses::Mini) | | `color` | Primary color | | `description` | Product description | | `price` | Current price in EUR | | `originalPrice` | Original price in EUR (if on sale) | | `discountPercentage` | Discount percentage (if on sale) | | `currency` | Currency (EUR) | | `imageUrls` | List of product image URLs | | `labels` | Merchandising labels (e.g. New Arrival, New Season) | | `availableSizes` | List of available sizes | | `hasStock` | Whether the product is in stock | | `isPurchasable` | Whether the product can be purchased | | `isComingSoon` | Whether the product is a pre-release | | `seasonCode` | Season identifier | | `sourceUrl` | URL scraped | | `scrapedAt` | ISO timestamp | | `recordType` | Always `product` | ### Frequently Asked Questions **Is authentication required?** No. All product listing data is publicly accessible without login. **Which designer slugs can I use?** Use lowercase, hyphenated slugs: `gucci`, `prada`, `bottega-veneta`, `saint-laurent`, `valentino`, `balenciaga`, `loewe`, `toteme`, `jacquemus`, `miu-miu`, `celine`, `givenchy`, `alexander-mcqueen`, and 200+ more. **What currency are prices in?** All prices are in EUR (Euro). **How many products can I get?** Each department or designer page returns up to 20–80 featured products. Use `maxItems` to control output. **Does this include sale items?** Yes. Products on sale include both `price` (current discounted price) and `originalPrice` fields. # Actor input Schema ## `mode` (type: `string`): Scraping mode. ## `department` (type: `string`): Fashion department to browse for new arrivals. ## `designer` (type: `string`): Designer name slug for mode=byDesigner (e.g. 'gucci', 'prada', 'bottega-veneta', 'saint-laurent', 'valentino', 'balenciaga', 'loewe'). ## `listingUrls` (type: `array`): List of Mytheresa page URLs to scrape. ## `maxItems` (type: `integer`): Maximum number of product records to emit. ## Actor input object example ```json { "mode": "newArrivals", "department": "women", "designer": "gucci", "listingUrls": [], "maxItems": 5 } ``` # Actor output Schema ## `products` (type: `string`): Dataset containing all scraped luxury fashion product listings. # 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 = { "mode": "newArrivals", "department": "women", "designer": "gucci", "listingUrls": [], "maxItems": 5 }; // Run the Actor and wait for it to finish const run = await client.actor("crawlerbros/mytheresa-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 = { "mode": "newArrivals", "department": "women", "designer": "gucci", "listingUrls": [], "maxItems": 5, } # Run the Actor and wait for it to finish run = client.actor("crawlerbros/mytheresa-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 '{ "mode": "newArrivals", "department": "women", "designer": "gucci", "listingUrls": [], "maxItems": 5 }' | apify call crawlerbros/mytheresa-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crawlerbros/mytheresa-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Mytheresa Luxury Fashion Scraper", "description": "Scrape luxury fashion product listings from Mytheresa.com - one of the world's leading multi-brand luxury retailers. Get product names, designers, prices, images, sizes, and categories across women's, men's, kids', and lifestyle departments.", "version": "1.0", "x-build-id": "WCp7qS3VCerKPM2rK" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawlerbros~mytheresa-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawlerbros-mytheresa-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crawlerbros~mytheresa-scraper/runs": { "post": { "operationId": "runs-sync-crawlerbros-mytheresa-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crawlerbros~mytheresa-scraper/run-sync": { "post": { "operationId": "run-sync-crawlerbros-mytheresa-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "mode" ], "properties": { "mode": { "title": "Mode", "enum": [ "newArrivals", "byDesigner", "byUrl" ], "type": "string", "description": "Scraping mode.", "default": "newArrivals" }, "department": { "title": "Department", "enum": [ "women", "men", "kids", "life" ], "type": "string", "description": "Fashion department to browse for new arrivals.", "default": "women" }, "designer": { "title": "Designer slug (mode=byDesigner)", "type": "string", "description": "Designer name slug for mode=byDesigner (e.g. 'gucci', 'prada', 'bottega-veneta', 'saint-laurent', 'valentino', 'balenciaga', 'loewe')." }, "listingUrls": { "title": "Page URLs (mode=byUrl)", "type": "array", "description": "List of Mytheresa page URLs to scrape.", "default": [], "items": { "type": "string" } }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of product records to emit.", "default": 20 } } }, "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 } } } } } } } } } } ```