# Farfetch Scraper (`gauzy_penguin/farfetch-scraper`) Actor Complete scraper for Farfetch.com with advanced filtering options. Extract products with all data including prices, images, sizes, colors, brands, discounts, and more. Supports all categories (men, women, kids) with flexible filtering by price, brand, size, color, and discount percentage. - **URL**: https://apify.com/gauzy\_penguin/farfetch-scraper.md - **Developed by:** [locas mora](https://apify.com/gauzy_penguin) (community) - **Categories:** E-commerce, Automation, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN 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. 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 ## Farfetch Scraper ### Overview Complete and robust scraper for **Farfetch.com** with advanced filtering capabilities. Extract comprehensive product data including prices, images, sizes, colors, brands, discounts, delivery options, and more. The **Farfetch Scraper** is a production-grade Apify actor designed to extract structured data from [Farfetch.com](https://Farfetch.com) at scale This actor is built for **stability, scalability, and ease of use**, providing clean, structured output suitable for analytics, monitoring, research, and downstream automation. ### Features ✅ **Complete Data Extraction** - All available product information ✅ **Advanced Filtering** - Filter by price, brand, size, color, and discount ✅ **All Categories** - Men's, Women's, and Kids products ✅ **Multiple Sort Options** - New items, price, discount ✅ **Pagination Support** - Scrape thousands of products ✅ **Custom Categories** - Support for custom category IDs ✅ **Multi-Country** - Support for different country codes ✅ **High Quality** - Clean, structured JSON output ✅ **Python** - Built with modern async Python ### Input Parameters #### Basic Configuration | Parameter | Type | Description | Default | |-----------|------|-------------|---------| | **category** | String | Predefined category to scrape | `men-shoes` | | **customCategories** | Array | Custom Farfetch category IDs (overrides category) | `null` | | **maxProducts** | Integer | Maximum number of products to scrape | `360` | | **country** | String | Country code (affects pricing/availability) | `fr` | | **sortBy** | String | Sorting option | `new-items` | #### Available Categories ##### Men - `men-shoes` - Men's Shoes - `men-bags` - Men's Bags - `men-accessories` - Men's Accessories - `men-home` - Men's Home - `men-jewelry` - Men's Jewelry - `men-clothing` - Men's Clothing - `men-underwear-socks` - Men's Underwear & Socks - `men-pre-owned` - Men's Pre-owned - `men-sportswear` - Men's Sportswear - `men-watches` - Men's Watches ##### Women - `women-clothing` - Women's Clothing - `women-bags` - Women's Bags - `women-accessories` - Women's Accessories - `women-jewelry` - Women's Jewelry - `women-lingerie-nightwear` - Women's Lingerie & Nightwear - `women-pre-owned` - Women's Pre-owned - `women-shoes` - Women's Shoes - `women-home` - Women's Home - `women-sportswear` - Women's Sportswear - `women-fine-jewelry` - Women's Fine Jewelry - `women-delicate-jewelry` - Women's Delicate Jewelry #### Sort Options - `new-items` - Newest items first - `price-low-high` - Price: Low to High - `price-high-low` - Price: High to Low - `discount-high-low` - Discount: High to Low #### Filtering Options | Parameter | Type | Description | Example | |-----------|------|-------------|---------| | **brands** | Array | Filter by brand IDs | `["3298", "5841"]` | | **priceMin** | Integer | Minimum price | `100` | | **priceMax** | Integer | Maximum price | `5000` | | **sizes** | Array | Filter by size IDs | `["10", "11", "12"]` | | **colors** | Array | Filter by color IDs | `["1", "2"]` | | **discountMin** | Integer | Minimum discount % (0-100) | `30` | ### Output Data Each product contains: ```json { "id": "12345678", "productId": "12345678", "url": "https://www.farfetch.com/shopping/...", "brand": { "id": "3298", "name": "Nike" }, "name": "Air Max 90 sneakers", "label": "NEW SEASON", "merchantId": "12345", "promotion": "Extra 20% off", "stockQuantity": 5, "images": [ { "url": "https://cdn-images.farfetch-contents.com/...", "alt": "Nike Air Max 90 sneakers", "order": 1 } ], "sizes": [ { "id": "123", "description": "UK 10", "order": 1 } ], "colors": [ { "id": "1", "swatchUrl": "https://..." } ], "price": { "current": 150.00, "currentFormatted": "150,00 MAD", "original": 200.00, "originalFormatted": "200,00 MAD", "discount": 25, "discountFormatted": "25%", "currency": "MAD", "currencySymbol": "MAD", "priceType": "ProductCatalogItemSalePrice" }, "productPrice": { "full": 200.00, "fullFormatted": "200,00 MAD", "final": 150.00, "finalFormatted": "150,00 MAD", "finalType": "Sale", "discounts": [ { "value": 50.00, "valueFormatted": "50,00 MAD", "percentage": 25, "percentageFormatted": "25%", "type": "SALE", "name": "Sale" } ], "installments": { "quantity": 4, "value": 37.50, "valueFormatted": "37,50 MAD" } }, "deliveryMethods": [ { "type": "STANDARD", "order": 1, "estimatedDelivery": { "start": "2026-05-15", "end": "2026-05-20", "bestGuess": "2026-05-17" } } ], "attributes": [...], "availabilityTypes": ["IN_STOCK"], "scrapedAt": "2026-05-09T12:00:00.000Z" } ```` ### Usage Examples #### Example 1: Basic Men's Shoes Scraping ```json { "category": "men-shoes", "maxProducts": 500, "sortBy": "new-items" } ``` #### Example 2: Women's Clothing with Price Filter ```json { "category": "women-clothing", "priceMin": 100, "priceMax": 500, "sortBy": "price-low-high", "maxProducts": 1000 } ``` #### Example 3: Discounted Items Only ```json { "category": "men-shoes", "discountMin": 30, "sortBy": "discount-high-low", "maxProducts": 200 } ``` #### Example 4: Specific Brands ```json { "category": "women-bags", "brands": ["3298", "5841", "12345"], "maxProducts": 300 } ``` ### Performance - **Speed**: ~180 products per request - **Rate Limiting**: Built-in polite delays (1 second between requests) - **Pagination**: Automatic handling - **Error Handling**: Robust retry logic ### Country Codes Common country codes: - `us` - United States - `gb` - United Kingdom - `fr` - France - `de` - Germany - `it` - Italy - `es` - Spain - `ae` - United Arab Emirates ### Tips 1. **Start Small**: Test with `maxProducts: 180` first 2. **Use Filters**: Narrow down results for better performance 3. **Check Logs**: Monitor the actor logs for detailed information 4. **Country Matters**: Prices and availability vary by country 5. **Use Discovery**: Run `discover_filters.py` to find valid IDs *** ### Support & Maintenance This actor is actively maintained and designed for production usage. For issues or feature requests, please use the Apify platform issue tracker. ### Final Notes This actor prioritizes: 1. Data clarity 2. Operational reliability 3. Professional usability ## It is suitable for both individual users and enterprise-scale workflows. **Happy Scraping 🚀** # Actor input Schema ## `category` (type: `string`): Select a predefined category to scrape ## `customCategories` (type: `array`): Optional: Provide custom Farfetch category IDs (overrides the category field). Example: \['141259', '135968'] ## `brands` (type: `array`): Filter by specific brand IDs. Leave empty for all brands. Example: \['3298', '5841'] ## `priceMin` (type: `integer`): Minimum price filter (in the local currency) ## `priceMax` (type: `integer`): Maximum price filter (in the local currency) ## `sizes` (type: `array`): Filter by specific size IDs. Leave empty for all sizes. Example: \['10', '11', '12'] ## `colors` (type: `array`): Filter by specific color IDs. Leave empty for all colors. Example: \['1', '2'] ## `discountMin` (type: `integer`): Minimum discount percentage (0-100). Leave empty for all products including non-discounted ones. ## `sortBy` (type: `string`): How to sort the products ## `maxProducts` (type: `integer`): Maximum number of products to scrape ## `country` (type: `string`): Country code for Farfetch (affects pricing and availability) ## Actor input object example ```json { "category": "women-bags", "customCategories": [], "brands": [], "sizes": [], "colors": [], "sortBy": "new-items", "maxProducts": 360, "country": "ma, us, gb, fr, de" } ``` # Actor output Schema ## `results` (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 = { "customCategories": [], "brands": [], "sizes": [], "colors": [] }; // Run the Actor and wait for it to finish const run = await client.actor("gauzy_penguin/farfetch-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 = { "customCategories": [], "brands": [], "sizes": [], "colors": [], } # Run the Actor and wait for it to finish run = client.actor("gauzy_penguin/farfetch-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 '{ "customCategories": [], "brands": [], "sizes": [], "colors": [] }' | apify call gauzy_penguin/farfetch-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=gauzy_penguin/farfetch-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Farfetch Scraper", "description": "Complete scraper for Farfetch.com with advanced filtering options. Extract products with all data including prices, images, sizes, colors, brands, discounts, and more. Supports all categories (men, women, kids) with flexible filtering by price, brand, size, color, and discount percentage.", "version": "1.0", "x-build-id": "lmkJr3DT80mhYab7C" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/gauzy_penguin~farfetch-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-gauzy_penguin-farfetch-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/gauzy_penguin~farfetch-scraper/runs": { "post": { "operationId": "runs-sync-gauzy_penguin-farfetch-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/gauzy_penguin~farfetch-scraper/run-sync": { "post": { "operationId": "run-sync-gauzy_penguin-farfetch-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": { "category": { "title": "Category", "enum": [ "men-shoes", "men-bags", "men-accessories", "men-home", "men-jewelry", "men-clothing", "men-underwear-socks", "men-pre-owned", "men-sportswear", "men-watches", "women-clothing", "women-bags", "women-accessories", "women-jewelry", "women-lingerie-nightwear", "women-pre-owned", "women-shoes", "women-home", "women-sportswear", "women-fine-jewelry", "women-delicate-jewelry" ], "type": "string", "description": "Select a predefined category to scrape", "default": "women-bags" }, "customCategories": { "title": "Custom Category IDs", "type": "array", "description": "Optional: Provide custom Farfetch category IDs (overrides the category field). Example: ['141259', '135968']" }, "brands": { "title": "Brand IDs", "type": "array", "description": "Filter by specific brand IDs. Leave empty for all brands. Example: ['3298', '5841']", "default": [], "items": { "type": "string" } }, "priceMin": { "title": "Minimum Price", "minimum": 0, "type": "integer", "description": "Minimum price filter (in the local currency)" }, "priceMax": { "title": "Maximum Price", "minimum": 0, "type": "integer", "description": "Maximum price filter (in the local currency)" }, "sizes": { "title": "Size IDs", "type": "array", "description": "Filter by specific size IDs. Leave empty for all sizes. Example: ['10', '11', '12']", "default": [], "items": { "type": "string" } }, "colors": { "title": "Color IDs", "type": "array", "description": "Filter by specific color IDs. Leave empty for all colors. Example: ['1', '2']", "default": [], "items": { "type": "string" } }, "discountMin": { "title": "Minimum Discount Percentage", "minimum": 0, "maximum": 100, "type": "integer", "description": "Minimum discount percentage (0-100). Leave empty for all products including non-discounted ones." }, "sortBy": { "title": "Sort By", "enum": [ "new-items", "price-low-high", "price-high-low", "discount-high-low" ], "type": "string", "description": "How to sort the products", "default": "new-items" }, "maxProducts": { "title": "Maximum Products", "minimum": 180, "maximum": 10000, "type": "integer", "description": "Maximum number of products to scrape", "default": 360 }, "country": { "title": "Country Code", "type": "string", "description": "Country code for Farfetch (affects pricing and availability)", "default": "ma" } } }, "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 } } } } } } } } } } ```