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 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:

{
  "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

{
  "category": "men-shoes",
  "maxProducts": 500,
  "sortBy": "new-items"
}

Example 2: Women's Clothing with Price Filter

{
  "category": "women-clothing",
  "priceMin": 100,
  "priceMax": 500,
  "sortBy": "price-low-high",
  "maxProducts": 1000
}

Example 3: Discounted Items Only

{
  "category": "men-shoes",
  "discountMin": 30,
  "sortBy": "discount-high-low",
  "maxProducts": 200
}

Example 4: Specific Brands

{
  "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

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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 🚀