Farfetch Pricing Scraper 🛍️
Pricing
Pay per usage
Farfetch Pricing Scraper 🛍️
Unlock real-time luxury fashion insights! Instantly scrape prices, product details, and availability from Farfetch. Perfect for competitor analysis, price monitoring, and trend forecasting. Supercharge your e-commerce strategy with accurate global market data.
Pricing
Pay per usage
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Shahid Irfan
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2
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13 days ago
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Farfetch Pricing Scraper
Extract luxury fashion product data from Farfetch with precision. Collect comprehensive pricing information, brand details, discounts, and merchant data from the world's leading luxury marketplace. Perfect for fashion research, price monitoring, and luxury market analysis.
Features
- Brand Intelligence — Extract designer brand names and collections
- Comprehensive Pricing — Capture formatted and raw pricing values for analysis
- Stock Insights — Track stock quantity and availability state
- Variation Coverage — Collect available size options and merchandising tags
- Catalog Metadata — Includes labels, ranking signals, and promotion data
- High Volume Collection — Scale from dozens to thousands of luxury products
Use Cases
Luxury Fashion Research
Analyze designer pricing trends and brand positioning across categories. Understand luxury market dynamics and consumer preferences in high-end fashion.
Price Intelligence
Monitor luxury brand pricing strategies and discount patterns. Track seasonal sales, flash sales, and promotional pricing across designer collections.
Competitive Analysis
Benchmark luxury brands against competitors. Compare pricing, availability, and product offerings across the luxury fashion landscape.
Market Trend Analysis
Identify emerging fashion trends and popular designer items. Track which luxury brands and styles are gaining traction in the marketplace.
Inventory Management
Monitor product availability and stock levels for luxury items. Track when new collections launch and existing items go out of stock.
Input Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
startUrl | String | Yes | — | Farfetch category or search URL to scrape |
minPrice | Number | No | — | Minimum price filter |
maxPrice | Number | No | — | Maximum price filter |
sortBy | String | No | "default" | Sort order: default, price_asc, price_desc, new |
results_wanted | Integer | No | 20 | Maximum number of products to collect |
proxyConfiguration | Object | No | Residential | Proxy settings for reliable scraping |
Output Data
Each item in the dataset contains:
| Field | Type | Description |
|---|---|---|
product_id | String | Unique Farfetch product identifier |
brand | String | Designer brand name |
title | String | Product title and description |
label | String | Product merchandising label (e.g. New Season) |
merchant_id | String | Seller identifier |
product_url | String | Direct link to product detail page |
price | String | Current sale price with currency |
original_price | String | Original retail price before discount |
price_raw | Number | Numeric final price value |
original_price_raw | Number | Numeric full/original price value |
currency | String | Currency code (GBP, USD, EUR, etc.) |
discount_labels | Array | Discount labels from catalog pricing |
image_url | String | Main product image URL |
image_urls | Array | Full list of product image URLs |
stock_quantity | Number | Current stock quantity |
in_stock | Boolean | Whether the item is in stock |
availability_types | Array | Availability state values |
sizes | Array | Available size options |
tags | Array | Product merchandising tags |
ranking_algorithm | String | Ranking signal identifier |
promotion | Object/Null | Promotion metadata when available |
scraped_at | String | Timestamp of data collection |
Usage Examples
Basic Category Scraping
Extract products from a Farfetch category page:
{"startUrl": "https://www.farfetch.com/uk/shopping/women/jewellery-1/items.aspx","results_wanted": 50}
Price Range Analysis
Find luxury items within a specific price range:
{"startUrl": "https://www.farfetch.com/uk/shopping/women/bags-1/items.aspx","minPrice": 500,"maxPrice": 2000,"results_wanted": 100}
Designer Collection Monitoring
Track specific designer collections:
{"startUrl": "https://www.farfetch.com/uk/shopping/designer-gucci/bags-women-1/items.aspx","sortBy": "new","results_wanted": 200}
Sale Item Discovery
Find discounted luxury products:
{"startUrl": "https://www.farfetch.com/uk/shopping/women/items.aspx","sortBy": "price_asc","results_wanted": 150}
Sample Output
{"product_id": "33405260","brand": "Massimo Osti Studio","title": "zip pockets jacket","label": "New Season","merchant_id": "10704","product_url": "https://www.farfetch.com/shopping/men/massimo-osti-studio-zip-pockets-jacket-item-33405260.aspx","price": "2.458 €","original_price": "2.458 €","price_raw": 2458,"original_price_raw": 2458,"currency": "EUR","discount_labels": [],"image_url": "https://cdn-images.farfetch-contents.com/33/40/52/60/33405260_64302636_480.jpg","image_urls": ["https://cdn-images.farfetch-contents.com/33/40/52/60/33405260_64302636_480.jpg","https://cdn-images.farfetch-contents.com/33/40/52/60/33405260_64302540_480.jpg"],"stock_quantity": 3,"in_stock": true,"availability_types": ["AVAILABLE_FOR_PURCHASE"],"sizes": ["M", "L", "XL"],"tags": ["New Season"],"ranking_algorithm": "OS0HWphZfjgLHk","promotion": null,"scraped_at": "2026-03-05T10:30:00.000Z"}
Tips for Best Results
Choose Popular Categories
- Start with high-traffic categories like bags, shoes, or jewelry
- Use specific designer brand URLs for focused collections
- Test with smaller result sets first (20-50 items)
Optimize Price Filters
- Set realistic price ranges for luxury items (£100-£5000+)
- Use price sorting to find budget or premium options
- Combine price filters with category URLs for precision
Maximize Data Quality
- Use residential proxies for consistent access
- Schedule runs during off-peak hours for better performance
- Monitor for new collection launches and seasonal sales
Proxy Configuration
For reliable results with luxury fashion sites, residential proxies are recommended:
{"proxyConfiguration": {"useApifyProxy": true,"apifyProxyGroups": ["RESIDENTIAL"]}}
Integrations
Connect your luxury fashion data with:
- Google Sheets — Export for pricing analysis and reporting
- Airtable — Build luxury product databases and catalogs
- Slack — Get notifications for new designer arrivals
- Zapier — Automate workflows for price monitoring
- Make — Create automated fashion trend pipelines
- Webhooks — Send data to custom fashion analytics platforms
Export Formats
Download your data in multiple formats:
- JSON — For developers and fashion APIs
- CSV — For spreadsheet analysis and Excel
- Excel — For luxury brand reporting and presentations
- XML — For fashion system integrations
Frequently Asked Questions
How many luxury products can I collect?
You can collect thousands of products per run. The practical limit depends on category size and available inventory (typically up to 100+ pages per category).
Can I scrape specific designer brands?
Yes, use brand-specific URLs like /designer-gucci/ or /designer-louis-vuitton/ in your start URL for focused brand collections.
How often should I update pricing data?
For luxury fashion, weekly or bi-weekly updates are recommended due to frequent price changes, seasonal sales, and new arrivals.
What if some products don't show discounts?
Not all luxury items are discounted. The scraper captures all available pricing information, including original prices when discounts aren't applied.
Can I monitor multiple categories?
Yes, run separate scraper instances for different categories or use broader category URLs to collect across multiple fashion segments.
How do I track seasonal sales?
Use discount_labels together with price and original_price to monitor markdown patterns. Schedule regular runs during sale seasons (end-of-season sales, holiday promotions).
Support
For issues or feature requests, contact support through the Apify Console.
Resources
Legal Notice
This actor is designed for legitimate data collection purposes. Users are responsible for ensuring compliance with website terms of service and applicable laws. Use data responsibly and respect rate limits.