Description

Explore the dynamic world of luxury fashion e-commerce with this meticulously compiled dataset, featuring 8,491 unique UK fashion product listings. Collected directly from the renowned e-commerce domain burberry.com, this collection focuses exclusively on UK products priced in GBP, offering a detailed snapshot of their current inventory. Each record offers rich insights, including detailed product names, prices (original, sale, and discount), stock availability, sizes available, category, product descriptions, material compositions, country of origin, and multiple high-resolution image URLs. This valuable resource enables businesses to perform in-depth market trend analysis, benchmark pricing strategies, monitor competitor product offerings, and train e-commerce AI models for recommendation engines or visual search. Researchers can uncover insights into luxury fashion consumer behavior, track seasonal product releases, and analyze the impact of design and material choices on market presence. The structured format ensures ease of use for analytics and machine learning applications, providing an accurate, timestamped record of the UK luxury fashion market.

Highlights

  • Contains 8,491 fashion product records for deep analysis.

  • Covers Uk clothing, bags, shoes, and accessories comprehensively.

  • Features specific Material Composition, Origin, and Fit Notes.

  • Provides Latest product status via Scraped At timestamp.

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 530 \N eb29c05d2f55569c 1782472325672 Sunglasses GBP false \N Women Accessories Sunglasses https://assets.burberry.com... \N 2026-06-26 14:11:50 [{"name": "Women", "link": ... A pair of curved wrap-aroun... 40844321 https://int.burberry.com/ac... 2026-06-26 11:12:05 \N Active Sport Sunglasses \N \N 530 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 530 \N 59017289fc9c563f 1782472325672 Sunglasses GBP false \N Women Accessories Sunglasses https://assets.burberry.com... \N 2026-06-26 13:22:26 [{"name": "Women", "link": ... A pair of curved wrap-aroun... 40844331 https://int.burberry.com/ac... 2026-06-26 11:12:05 \N Active Sport Sunglasses \N \N 530 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 530 \N acb394772a5e5edd 1782472325672 Sunglasses GBP false \N Women Accessories Sunglasses https://assets.burberry.com... \N 2026-06-26 14:02:12 [{"name": "Women", "link": ... A pair of curved wrap-aroun... 40844341 https://int.burberry.com/ac... 2026-06-26 11:12:05 \N Active Sport Sunglasses \N \N 530 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 475 \N f0db018266815c19 1782472325672 Sunglasses GBP true \N Men Accessories Sunglasses https://assets.burberry.com... \N 2026-06-26 14:48:13 [{"name": "Men", "link": "h... A pair of curved wrap-aroun... 40852021 https://int.burberry.com/ac... 2026-06-26 11:12:05 \N Active Sport Sunglasses \N \N 475 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 475 \N 286564d87ef352ef 1782472325672 Sunglasses GBP true \N Men Accessories Sunglasses https://assets.burberry.com... \N 2026-06-26 14:50:50 [{"name": "Men", "link": "h... A pair of curved wrap-aroun... 40852031 https://int.burberry.com/ac... 2026-06-26 11:12:05 \N Active Sport Sunglasses \N \N 475 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 50 \N 2ea7f74dbb3b579b 1782472325672 \N GBP true \N \N \N \N https://assets.burberry.com... \N 2026-06-26 13:14:20 [] This is an aftercare replac... 34990041 https://int.burberry.com/af... 2026-06-26 11:12:05 \N Aftercare Replacement \N \N 50 \N \N <li class="product-details-... \N \N https://assets.burberry.com... \N \N \N This is an aftercare replac...
34993731007 Burberry Stone 80 \N 8dde63a4011f5c57 1782472325672 \N GBP true \N \N \N \N https://assets.burberry.com... \N 2026-06-26 15:05:25 [] This is an aftercare replac... 34993731007 https://int.burberry.com/af... 2026-06-26 11:12:05 \N Aftercare Replacement \N \N 80 \N \N <li class="product-details-... \N \N https://assets.burberry.com... \N \N \N This is an aftercare replac...
34993741007 Burberry Black 80 \N ebadeb92d6ef54e9 1782472325672 \N GBP true \N \N \N \N https://assets.burberry.com... \N 2026-06-26 13:25:35 [] This is an aftercare replac... 34993741007 https://int.burberry.com/af... 2026-06-26 11:12:05 \N Aftercare Replacement \N \N 80 \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:

E-commerce Pricing Strategy Analysis: A competitive intelligence analyst utilizes Price, Original Price, Sale Price, Discount Percentage, In Stock, and Sizes Available to analyze competitor pricing strategies and promotional effectiveness, identifying opportunities for optimal markdown timing and inventory clear-out initiatives.

AI-Powered Product Categorization: A data scientist trains a machine learning model using Product Name, Description, Raw Description, Category, Breadcrumbs, Labels, Material Upper, Closure Type, and Toe Shape to automate precise product categorization and attribute extraction for enhanced e-commerce search and navigation.

Luxury Fashion Trend Forecasting: A market researcher analyzes Category, Product Name, Designer Color Name, Material Upper, Country Of Origin, and Labels to identify emerging fashion trends, popular material compositions, and key design aesthetics, informing future collection development or retail buying decisions.

SEO Content and Keyword Strategy: An SEO specialist extracts Product Name, Description, Category 1, Category 2, Category 3, Labels, Color, and Designer Color Name to uncover high-value long-tail keywords and semantic topics for creating targeted blog content, optimizing product descriptions, and improving organic search visibility.

Inventory Performance Analysis: An operations manager uses In Stock, Sizes Available, Sizes Out Of Stock, and Category to assess current inventory health, pinpointing items with limited availability or significant stock issues across different product categories to inform immediate procurement or sales strategies.

Personalized Product Recommendation Engine: A product manager employs Product Name, Category, Breadcrumbs, Color, Designer Color Name, Material Upper, Closure Type, and Price to train a recommendation engine that suggests relevant luxury fashion items to users based on product attribute similarities, enhancing personalization on the e-commerce platform.

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 offers comprehensive product information, including `uniq_id`, `product_name`, `brand`, `price`, `in_stock` status, and detailed `description`. You'll also find specific attributes like `color`, `designer_color_name`, `material_upper`, `country_of_origin`, and `primary_image_url` for a complete view of products from the burberry.com e-commerce site.

Yes, the dataset provides granular pricing information through `price`, `original_price`, `sale_price`, and `discount_percentage` data points. This allows users to monitor current pricing, identify sales, and analyze discount strategies for items available on burberry.com.

While a specific update cadence is not detailed, each record includes a `scraped_at` timestamp, indicating when that particular product's information was last collected from the burberry.com website. This timestamp allows users to assess the individual freshness of each product listing.

Data is typically delivered in common formats such as CSV or JSON, enabling flexible integration into various systems. These formats facilitate easy import into databases, analytics platforms, or custom applications through standard data processing methods.

This dataset is highly beneficial for e-commerce analysts, market researchers, and competitive intelligence firms. They can leverage it for in-depth competitor analysis, trend identification, inventory tracking, and understanding product assortment within the luxury fashion sector on burberry.com.

Users can build applications for price comparison, inventory availability alerts, or machine learning models for demand forecasting and product recommendations. The detailed product attributes like `category`, `sizes_available`, and `image_urls` support sophisticated market analysis and content creation.

Customization options, such as filtering for specific categories or regions beyond the UK, are often available upon request to tailor the data to your needs. Comprehensive technical support is typically provided to assist with data integration, understanding data points, and resolving any potential issues.

The data is collected through advanced web scraping technologies directly from the public burberry.com e-commerce site. Robust quality assurance processes are then applied, involving automated checks for data completeness, consistency, and accuracy across critical fields like `product_url`, `price`, and `in_stock` status.