We extract product listings, material specifications, hardware details, pricing, and availability from Mulberry. Delivered as clean JSON, CSV, or Parquet to your warehouse.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Product Listings objects from mulberry.com. All fields typed and schema-versioned.
"sku": "HH7845-736G110", "title": "Bayswater", "price": 1150.0, "currency": "GBP", "colour": "Oak", "leather_type": "Natural Vegetable Tanned Leather", "in_stock": true
| # | sku | title | category | sub_category | price | currency |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Mulberry Exchange objects from mulberry.com. All fields typed and schema-versioned.
"sku": "EX-HH7845-736G110", "title": "Pre-loved Bayswater", "preloved_price": 795.0, "condition": "Excellent", "authentication_status": "Verified", "in_stock": true
| # | sku | title | original_price | preloved_price | condition | condition_notes |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Material & Dimensions objects from mulberry.com. All fields typed and schema-versioned.
"sku": "HH7845-736G110", "height_cm": 26.5, "width_cm": 36.0, "depth_cm": 16.5, "handle_drop_cm": 15.5, "material": "Leather"
| # | sku | height_cm | width_cm | depth_cm | handle_drop_cm | strap_drop_cm |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Stock objects from mulberry.com. All fields typed and schema-versioned.
"sku": "HH7845-736G110", "price": 1150.0, "currency": "GBP", "in_stock": true, "low_stock_warning": false, "scraped_at": "2026-05-12T09:14:00Z"
| # | sku | price | currency | discount_pct | in_stock | low_stock_warning |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Care & Features objects from mulberry.com. All fields typed and schema-versioned.
"sku": "HH7845-736G110", "closure_type": "Postman's Lock", "internal_pockets": 1, "origin_country": "UK", "brand_stamp": "Foil embossed Mulberry signature", "sustainability_cert": "Leather Working Group"
| # | sku | care_instructions | feature_bullets | closure_type | internal_pockets | external_pockets |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Mulberry scraper captures every detail of the digital storefront, from primary leather grain specifications to pre-loved inventory on the Mulberry Exchange.
Extract all active SKUs across bags, luggage, and accessories with complete category hierarchy mapping.
Capture specific leather grains, finishes, and lining materials for every product variant.
Extract hardware specifications including lock types, metal finishes, and embossed branding details.
Monitor pre-loved inventory, pricing, and condition grading on the official Mulberry Exchange platform.
Extract geo-specific pricing across GBP, USD, EUR, and other supported currencies using regional proxies.
Track availability status and low-stock warnings to optimise secondary market purchasing.
Normalise height, width, depth, and drop lengths into standardised metric values.
Capture high-resolution product imagery URLs for visual analysis and cataloguing.
Extract environmental certifications and Leather Working Group status for ESG reporting.
Brief in. Clean data out.
Specify target categories, regional pricing requirements, and extraction frequency for the Mulberry catalogue.
We configure Playwright crawlers and UK residential proxies to handle dynamic loading and geo-fencing.
Schema validation ensures leather types, hardware details, and prices map correctly before launch.
Clean JSON, CSV, or Parquet pushed to your S3 bucket or warehouse on the agreed schedule.
Retail sites deploy aggressive rate limiting and geo-fencing. We handle the infrastructure so you get clean data.
Mulberry enforces strict regional pricing based on IP geolocation. We route requests through residential proxies in your target markets to extract accurate local currency pricing.
Stock levels and variant availability load dynamically. We use Playwright to execute JavaScript and capture the final DOM state, ensuring accurate inventory data.
Mulberry Exchange items sell out quickly. We configure high-frequency polling for the pre-loved section to capture listings before they disappear.
Product images are served via complex CDN URLs. We extract and normalise these URLs, providing direct links to the highest resolution assets available.
We manage request concurrency and rotate fingerprints to avoid triggering bot protection systems during full catalogue crawls.
Luxury brands monitor Mulberry pricing strategies across different global markets to adjust their own positioning.
Resellers use Mulberry Exchange data to baseline pricing for pre-loved bags based on condition and age.
Fashion analysts track the prevalence of specific leather grains and hardware finishes in new seasonal collections.
Retail buyers analyse category depth and colour variations to inform their own purchasing decisions.
Authentication services use accurate dimension and hardware data to verify secondary market listings.
ESG analysts track the adoption of sustainable materials and certifications across the product catalogue.
"Luxury retail data requires precision. A missing hardware finish or incorrect leather grain specification renders the dataset useless for competitive analysis."
Extracting data from Mulberry requires handling geo-specific pricing, dynamic stock indicators, and highly structured product specifications. DataFlirt manages the extraction pipeline, ensuring your retail analytics teams receive normalised, accurate data on a reliable schedule.
Everything supported by our mulberry.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 manages JavaScript rendering and dynamic DOM interaction.
We maintain pools of residential ISP proxies to bypass geo-fencing and extract accurate regional pricing.
Pipelines run on Kubernetes. Airflow handles scheduling, dependency management, and alerting. State is stored in PostgreSQL.
Data delivered to where your team already works — no new tooling required.
About mulberry.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available product information is generally permissible. DataFlirt extracts only public, non-authenticated catalogue and pricing data. We do not extract personal data or bypass authentication walls.
We route requests through residential proxies located in your target markets. This ensures the site serves the correct local currency and regional inventory status.
Yes. We can monitor the pre-loved section of the site, capturing original price, pre-loved price, condition notes, and availability for secondary market analysis.
We can configure pipelines to run daily for the full catalogue, or at higher frequencies for specific high-volatility categories like the Mulberry Exchange.
Yes. We parse the product details section to extract height, width, depth, and drop lengths, normalising them into standard metric fields.
We provide managed pipelines for the entire Mulberry catalogue. Contact us with your specific data requirements and delivery cadence for a tailored quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Deploy a managed pipeline for mulberry.com and receive structured product data directly to your warehouse.
