Description

Explore the Burberry Fashion Product Dataset, featuring over 25,569 structured product records sourced directly from burberry.com, Burberry's official e-commerce platform. The dataset covers the complete luxury catalog, including women's and men's clothing, handbags, shoes, accessories, beauty products, and fragrances. Each record includes product name, SKU, brand, category, breadcrumbs, original and sale price, discount percentage, currency, availability, sizes, product description, material composition, key features, image URLs, and scraped_at timestamp. Delivered in CSV format, this structured ecommerce dataset is ideal for competitive pricing analysis, luxury fashion market research, product catalog enrichment, retail analytics, inventory monitoring, trend analysis, AI and machine learning models, recommendation systems, and ecommerce intelligence. Covers 25,569+ SKUs across all active Burberry product lines with timestamps for freshness tracking.

Highlights

  • Explore a dataset of over 25,500 fashion product listings.

  • Features diverse clothing, bags, shoes, and accessories from a fashion retailer.

  • Timestamped data reflects product information at point of collection.

  • Rich details like material composition, fit notes, and country of origin.

Sample Data

Preview of available data:

Sku Brand Color Price Labels Uniq Id Version Category Currency In Stock Toe Shape Category 1 Category 2 Category 3 Image Urls Sale Price Scraped At Breadcrumbs Description Item Number Product Url Imported At Closure Type Product Name Material Sole Material Upper Original Price Size Fit Notes Material Lining Raw Description Sizes Available Country Of Origin Primary Image Url Sizes Out Of Stock Designer Color Name Discount Percentage Product Details Raw
40844321 Burberry Black 880 \N e2503b50024f52cf 1782472325672 Sunglasses AUD false \N Women Accessories Sunglasses https://assets.burberry.com... \N 2026-06-26 13:51:31 [{"name": "Women", "link": ... A pair of curved wrap-aroun... 40844321 https://au.burberry.com/act... 2026-06-26 11:12:05 \N Active Sport Sunglasses \N \N 880 Frame width: 15.3cm/6in. Fr... \N <li class="product-details-... \N Made in Italy https://assets.burberry.com... \N \N \N A pair of curved wrap-aroun...
40844331 Burberry Forest green 880 \N d0b9f4e4636052ec 1782472325672 Sunglasses AUD false \N Women Accessories Sunglasses https://assets.burberry.com... \N 2026-06-26 13:02:56 [{"name": "Women", "link": ... A pair of curved wrap-aroun... 40844331 https://au.burberry.com/act... 2026-06-26 11:12:05 \N Active Sport Sunglasses \N \N 880 Frame width: 15.3cm/6in. Fr... \N <li class="product-details-... \N Made in Italy https://assets.burberry.com... \N \N \N A pair of curved wrap-aroun...
40844341 Burberry Red 880 \N d5404c8fd29b5b43 1782472325672 Sunglasses AUD false \N Women Accessories Sunglasses https://assets.burberry.com... \N 2026-06-26 13:37:35 [{"name": "Women", "link": ... A pair of curved wrap-aroun... 40844341 https://au.burberry.com/act... 2026-06-26 11:12:05 \N Active Sport Sunglasses \N \N 880 Frame width: 15.3cm/6in. Fr... \N <li class="product-details-... \N Made in Italy https://assets.burberry.com... \N \N \N A pair of curved wrap-aroun...
40852021 Burberry Black 790 \N 0f077ab9651f53be 1782472325672 Sunglasses AUD true \N Men Accessories Sunglasses https://assets.burberry.com... \N 2026-06-26 14:54:19 [{"name": "Men", "link": "h... A pair of curved wrap-aroun... 40852021 https://au.burberry.com/act... 2026-06-26 11:12:05 \N Active Sport Sunglasses \N \N 790 Frame width: 15.3cm/6in. Fr... \N <li class="product-details-... \N Made in Italy https://assets.burberry.com... \N \N \N A pair of curved wrap-aroun...
40852031 Burberry Red 790 \N 1ae0cf1f737558e4 1782472325672 Sunglasses AUD true \N Men Accessories Sunglasses https://assets.burberry.com... \N 2026-06-26 13:54:24 [{"name": "Men", "link": "h... A pair of curved wrap-aroun... 40852031 https://au.burberry.com/act... 2026-06-26 11:12:05 \N Active Sport Sunglasses \N \N 790 Frame width: 15.3cm/6in. Fr... \N <li class="product-details-... \N Made in Italy https://assets.burberry.com... \N \N \N A pair of curved wrap-aroun...
34990041 Burberry Black 100 \N 7717646d715c590c 1782472325672 \N AUD true \N \N \N \N https://assets.burberry.com... \N 2026-06-26 14:05:11 [] This is an aftercare replac... 34990041 https://au.burberry.com/aft... 2026-06-26 11:12:05 \N Aftercare Replacement \N \N 100 \N \N <li class="product-details-... \N \N https://assets.burberry.com... \N \N \N This is an aftercare replac...
34993731007 Burberry Stone 160 \N 2d567e36a9e059fc 1782472325672 \N AUD true \N \N \N \N https://assets.burberry.com... \N 2026-06-26 13:17:20 [] This is an aftercare replac... 34993731007 https://au.burberry.com/aft... 2026-06-26 11:12:05 \N Aftercare Replacement \N \N 160 \N \N <li class="product-details-... \N \N https://assets.burberry.com... \N \N \N This is an aftercare replac...
34993741007 Burberry Black 160 \N d776066bb4d3564b 1782472325672 \N AUD true \N \N \N \N https://assets.burberry.com... \N 2026-06-26 14:26:20 [] This is an aftercare replac... 34993741007 https://au.burberry.com/aft... 2026-06-26 11:12:05 \N Aftercare Replacement \N \N 160 \N \N <li class="product-details-... \N \N https://assets.burberry.com... \N \N \N This is an aftercare replac...

Data Fields

This dataset includes the following data points:

Uniq Id
Product Url
Product Name
Brand
Sku
Color
Designer Color Name
Price
Original Price
Sale Price
Currency
Discount Percentage
In Stock
Sizes Available
Sizes Out Of Stock
Size Fit Notes
Category
Breadcrumbs
Labels
Description
Raw Description
Material Upper
Material Lining
Material Sole
Country Of Origin
Closure Type
Toe Shape
Item Number
Product Details Raw
Primary Image Url
Image Urls
Scraped At
Category 1
Category 2
Category 3
Version
Imported At

Why This Data

This e-commerce dataset from Burberry provides comprehensive market intelligence and competitive insights. Perfect for:

  • Market Research: Understand market trends and customer preferences
  • Competitive Analysis: Compare pricing, products, and strategies
  • Business Intelligence: Make data-driven decisions
  • Price Monitoring: Track price changes and optimize your pricing

Use Cases

This dataset is perfect for various applications:

Competitive Pricing Strategy: E-commerce analysts utilize Price, Original Price, Sale Price, and Discount Percentage fields to benchmark the brand's pricing structure and promotional intensity against market competitors within specific Category segments.

Fashion Trend Identification: Market researchers analyze Material Upper, Color, Designer Color Name, Closure Type, and Toe Shape to uncover prevailing design trends and material preferences in luxury fashion.

Product Recommendation Engine Training: AI/ML developers leverage Product Name, Description, Category, Labels, and Material attributes to train natural language processing models for enhanced product search, categorization, and personalized recommendations.

Search Engine Optimization (SEO) Content Strategy: Content strategists extract keywords and descriptive phrases from Product Name, Description, Category, Breadcrumbs, and Size Fit Notes to inform content creation and improve organic search visibility.

Inventory and Stock Management: Retail operations teams analyze In Stock, Sizes Available, and Sizes Out Of Stock data points to identify fast-moving products and popular sizes, optimizing replenishment cycles and minimizing lost sales.

Product Feature Benchmarking: Product development managers evaluate Country Of Origin, Closure Type, Toe Shape, and Material attributes to benchmark product specifications and identify opportunities for innovation or differentiation against competitors.

Global Luxury Pricing Research: Academic researchers analyze Price, Currency, Discount Percentage, and Category information to study international pricing disparities, market elasticity, and regional consumer spending habits for luxury goods.

Get Access to This Dataset

Start using this dataset today. Available in CSV, JSON, and Excel formats with flexible access options.

Frequently Asked Questions

This dataset provides comprehensive product details including identifying information like `uniq_id`, `product_url`, `product_name`, and `sku`. It also covers pricing (`price`, `original_price`, `sale_price`, `discount_percentage`), inventory status (`in_stock`, `sizes_available`), and extensive product descriptions (`description`, `raw_description`, `material_upper`, `country_of_origin`). Visual assets are also included via `primary_image_url` and `image_urls` to complete the product profile.

The dataset is regularly updated to ensure high data freshness, with each record including `scraped_at` and `_imported_at` timestamps to indicate when the information was last collected. This ensures users have access to the most current product availability, pricing, and promotional details directly from the source domain.

The dataset is typically available in standard formats like CSV or JSON, making it easy to integrate into various systems. Delivery options usually include direct download, API access for real-time integration, or secure cloud storage synchronization. We ensure flexible solutions to fit diverse technical requirements for data consumption.

E-commerce platforms, market researchers, fashion trend analysts, and AI/ML developers benefit greatly from this data. They can utilize it for competitive pricing analysis, tracking product availability and discounts, understanding material trends, and developing advanced recommendation engines or predictive models for fashion merchandising.

Yes, customisation options are available, allowing users to select specific data points, filter by categories like `category_1`, `category_2`, `category_3`, or specify regions for collection. Dedicated support is provided to assist with data integration, answer queries regarding data points like `designer_color_name` or `country_of_origin`, and ensure you derive maximum value from the dataset.

The data is systematically collected directly from the specified e-commerce domain, `burberry.com`, using advanced web scraping technologies. Rigorous quality assurance processes are applied, including validation checks for consistency, accuracy (e.g., verifying `price` and `discount_percentage`), and completeness of all available data points such as `material_upper` and `image_urls`.