We extract designer collections, geo-specific pricing, boutique inventory, and material specifications from Farfetch. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Product Catalogue objects from farfetch.com. All fields typed and schema-versioned.
"product_id": "18492015", "designer": "Bottega Veneta", "title": "Intrecciato leather cross-body bag", "color": "Parakeet Green", "base_price": 2500.0, "currency": "USD", "available_sizes": "['One Size']", "made_in": "Italy", "positively_conscious": false
| # | product_id | designer | title | category | sub_category | season |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Duties objects from farfetch.com. All fields typed and schema-versioned.
"product_id": "18492015", "region": "US", "base_price": 2500.0, "discount_pct": 0, "final_price": 2500.0, "currency": "USD", "import_duties_included": true, "price_timestamp": "2026-08-14T10:15:00Z"
| # | product_id | designer | region | base_price | discount_pct | discount_abs |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Boutique & Sourcing objects from farfetch.com. All fields typed and schema-versioned.
"boutique_id": "9281", "boutique_name": "Browns", "location_city": "London", "location_country": "UK", "product_count": 4150, "return_policy": "14 days", "customs_handling": "DDP"
| # | boutique_id | boutique_name | location_city | location_country | rating | product_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Farfetch scraper handles regional pricing variations, boutique-level inventory, and complex sizing matrices — with geo-targeted proxies to capture accurate local market data.
Extract full collections across men's, women's, and kidswear. Capture titles, seasons, colourways, and detailed product descriptions.
Capture local currency pricing, import duties, and regional tax variations using country-specific residential IP proxies.
Track which physical boutiques hold specific inventory. Extract boutique names, locations, and shipping policies.
Extract available and out-of-stock sizes across IT, FR, UK, and US standards. Monitor stock depth indicators.
Parse fabric details, exact material percentages, care instructions, and manufacturing origin countries.
Track vintage pieces, condition grading, and POSITIVELY CONSCIOUS sustainability labels across the catalogue.
Extract uncompressed image URLs for product galleries, model shots, and detail views.
Brief in. Clean data out.
Provide designer names, category URLs, or target regions. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for farfetch.com.
Schema validation, null-rate checks, price-outlier detection, and size-mapping verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Luxury e-commerce platforms deploy aggressive anti-bot measures to protect their catalogues. Here's how we ensure reliable extraction.
Farfetch uses advanced bot mitigation to block automated traffic. Our crawlers use residential ISP proxies with realistic browser fingerprints, randomised request timing, and full cookie session management to blend in with human shoppers.
Farfetch dynamically alters prices, duties, and taxes based on the user's IP address. We route requests through specific country proxy pools (e.g., US, UK, UAE) to capture exact local pricing and DDP (Delivered Duty Paid) variables.
Fashion sizing is notoriously complex. We map and normalise size availability across different regional standards (IT, FR, US) and capture low-stock warnings to provide a clear picture of inventory depth.
Designer pages rely on heavy JavaScript rendering and infinite scroll mechanics. We run full Playwright browser sessions to trigger lazy-loaded items, ensuring no products are missed in the extraction.
For large boutique catalogues, we maintain a hash index of last-seen values per product. Subsequent runs only push diffs — reducing compute cost and downstream processing load. You get a clean changelog of price drops and new stock.
Luxury retailers track Farfetch pricing to adjust their own markups, monitor discount strategies, and manage regional price parity.
Fashion houses audit boutique listings to identify unauthorised sellers, MAP violations, and cross-border arbitrage.
Merchandisers analyse colorways, materials, and category velocity to predict upcoming seasonal trends and consumer preferences.
Marketplaces and aggregators normalise Farfetch inventory data to augment their own catalogues and drop-shipping networks.
Machine learning teams use structured product descriptions, material compositions, and high-res imagery to train visual search and recommendation engines.
Buyers monitor brand representation, size availability curves, and out-of-stock rates to optimise their own seasonal procurement.
"Farfetch aggregates inventory from hundreds of global boutiques — tracking this fragmented supply chain requires precise, geo-targeted extraction at scale."
Extracting luxury fashion data involves navigating complex sizing charts, regional tax calculations, and aggressive bot mitigation. DataFlirt manages the proxy rotation and session handling, delivering structured catalogue data so your merchandising teams can focus on analysis — not infrastructure.
Everything supported by our farfetch.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration and deduplication. Playwright handles JavaScript rendering, infinite scroll, and interaction flows for complex designer pages.
We maintain pools of residential ISP proxies across target regions (US, EU, APAC). Rotation happens per-request to bypass bot protection and capture accurate local pricing.
Pipelines run on AWS Lambda (burst) and Kubernetes (sustained). Airflow handles scheduling and dependency management. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About farfetch.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Farfetch is generally permissible under applicable law. DataFlirt targets only public, non-authenticated product, pricing, and boutique data. We do not extract personal data or circumvent authentication walls. Clients should review Farfetch's ToS and consult legal counsel for specific use cases.
Farfetch alters prices based on IP geolocation. We configure pipelines to route through specific residential proxy pools (e.g., US, UK, EU) to capture accurate local currency pricing, DDP flags, and regional tax variations.
Yes. We extract the boutique ID, name, and location associated with each product listing, allowing you to map inventory distribution across Farfetch's global network of physical partners.
For targeted designer or category monitoring, we can configure hourly pipelines to catch sneaker drops and price adjustments. Full catalogue refreshes typically run at a daily or weekly cadence depending on volume.
Yes. We extract the direct CDN URLs for all high-resolution imagery, including primary shots, alternate angles, and detail views. We deliver the URLs in the payload for your systems to ingest.
Our minimum engagement typically starts with a defined set of designers or categories (e.g., top 50 luxury brands) with weekly delivery. Contact us with your target scope for a precise quote.
Absolutely. We provide a sample run of up to 500 products from a specific designer or category as part of the pre-engagement scoping process — so you can validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a targeted designer monitor or a continuous feed of global boutique inventory — we scope, build, and operate the pipeline. Tell us what you need.
