SSENSE Fashion dataset

Description

Unlock comprehensive insights into luxury fashion with the SSENSE Product Listing Dataset, meticulously collected from ssense.com. This rich dataset features 47,958 unique product records, encompassing essential details like product name, brand, SKU, price, color, and extensive image URLs. Delve deeper with critical attributes such as stock availability, detailed sizing information, product descriptions, breadcrumbs, country of origin, washing instructions, and composition. Ideal for market researchers and data analysts, this dataset empowers you to track fashion trends, conduct competitive pricing analysis, and monitor new arrivals across SSENSE's diverse inventory. Leverage this data for advanced e-commerce strategies, including optimizing product recommendations, understanding consumer preferences, and refining inventory management. Gain a significant edge in the dynamic fashion industry with unparalleled access to SSENSE's curated product catalog.

Highlights

  • Nearly 48,000 SSENSE product records.

  • Broad coverage of fashion and lifestyle items.

  • Timestamped data for freshness verification.

  • Detailed attributes: pricing, stock, sizing, composition, images.

Sample Data

Preview of available data:

Sku Brand Color Price Labels Uniq Id Version Category Currency In Stock Image Urls Sale Price Scraped At Breadcrumbs Composition Description Item Number Product Url Imported At Product Name Original Price Size Fit Notes Raw Description Sizes Available Country Of Origin Primary Image Url Sizes Out Of Stock Discount Percentage Washing Instructions
231726M643006 Bang & Olufsen SSENSE Gray 5158 \N 54adecd66b8a0007 1778148557088 en-au AUD true https://img.ssensemedia.com... 5158 2026-05-05 20:28:03 www.ssense.com > en-au > ev... \N Circular precision-milled a... 231726M643006 https://www.ssense.com/en-a... 2026-05-07 10:09:17 SSENSE Exclusive Collaborat... \N \N Circular precision-milled a... \N \N https://img.ssensemedia.com... \N \N \N
231649M703005 BlabLakia \N 19 \N 811ba8d10cd89382 1778148557088 en-ca CAD true \N 19 2026-05-07 10:19:19 www.ssense.com > en-ca > ev... \N \N 231649M703005 https://www.ssense.com/en-c... 2026-05-07 10:09:17 Kids Green Blah Rash Guard \N \N \N \N \N \N \N \N \N
231123M824000 HEAD \N 339 \N 659897e7fd025c5b 1778148557088 en-ca CAD true \N 339 2026-05-07 10:36:29 www.ssense.com > en-ca > ev... \N \N 231123M824000 https://www.ssense.com/en-c... 2026-05-07 10:09:17 Orange & Black Radical Pro ... \N \N \N \N \N \N \N \N \N
\N Longlivethequeen \N 16 \N f0c2f0b7c101fb8c 1778148557088 en-ca CAD true \N 16 2026-05-07 14:00:04 www.ssense.com > en-ca > ev... \N \N \N https://www.ssense.com/en-c... 2026-05-07 10:09:17 Kids Green Balloon Blouse \N \N \N \N \N \N \N \N \N
261379M720000 Marni \N 245 \N 073fba11858aa64d 1778148557088 en-ca CAD true \N 245 2026-05-07 13:53:14 www.ssense.com > en-ca > ev... \N \N 261379M720000 https://www.ssense.com/en-c... 2026-05-07 10:09:17 Kids Black Logo Track Jacket \N \N \N \N \N \N \N \N \N
\N Morley \N 43 \N ae79dc70c05da4ac 1778148557088 en-ca CAD true \N 43 2026-05-07 14:00:20 www.ssense.com > en-ca > ev... \N \N \N https://www.ssense.com/en-c... 2026-05-07 10:09:17 Kids Purple Urugay Ametyst ... \N \N \N \N \N \N \N \N \N
\N THEM SKATES \N 155 \N af756b3b47151b0b 1778148557088 en-ca CAD true \N 155 2026-05-07 10:40:35 www.ssense.com > en-ca > ev... \N \N \N https://www.ssense.com/en-c... 2026-05-07 10:09:17 Black Them 909 Complete V4 ... \N \N \N \N \N \N \N \N \N
\N Tom Dixon \N 1271 \N d5a01346cc098573 1778148557088 en-ca CAD true \N 1271 2026-05-07 10:33:07 www.ssense.com > en-ca > ev... \N \N \N https://www.ssense.com/en-c... 2026-05-07 10:09:17 Copper Melt Large Portable ... \N \N \N \N \N \N \N \N \N
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Data Fields

This dataset includes the following data points:

Uniq Id
Product Url
Product Name
Brand
Sku
Color
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
Country Of Origin
Washing Instructions
Item Number
Primary Image Url
Image Urls
Scraped At
Composition
Version
Imported At

Why This Data

This fashion dataset from Ssense 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:

Dynamic Pricing Optimization: Analyze historical price changes, discount percentages, and stock levels across different brands and categories on SSENSE to inform optimal dynamic pricing strategies and maximize revenue.

Competitor Product Launch Tracking: Monitor newly added luxury products, brand presence, and pricing strategies on SSENSE to identify market gaps and inform competitive positioning for other high-end retailers.

Product Description Generation AI: Train a machine learning model using SSENSE's rich product names, categories, and detailed descriptions to automatically generate compelling and SEO-friendly product content for new arrivals.

Emerging Fashion Trend Identification: Analyze product descriptions, compositions, colors, and sales velocity (derived from in-stock/out-of-stock data over time) to predict upcoming luxury fashion trends and inform SSENSE buying decisions.

SEO Keyword Research & Content Optimization: Extract high-value keywords and long-tail phrases from product names, descriptions, categories, and brands to optimize SSENSE product pages and generate engaging content marketing campaigns.

Get Access to This Dataset

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

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Frequently Asked Questions

While a specific update schedule isn't provided, data collection efforts for dynamic e-commerce sites like SSENSE usually aim for regular updates to ensure high data freshness.

Each record includes a `scraped_at` timestamp, allowing users to precisely identify when the data for that specific product was last collected and assess its recency.

The dataset consists of structured data points like `product_name`, `brand`, and `price`. While not explicitly stated, such datasets are commonly delivered in formats like JSON, CSV, or database exports.

Access methods often include API integration for real-time access, bulk file downloads for larger datasets, or custom exports tailored to specific user requirements.

Yes, you can typically select from the extensive list of available data points like `sizes_available`, `category`, and `image_urls`. Customization for specific fields or additional data beyond what's listed may also be possible upon request.

This dataset is highly valuable for market research, trend analysis, competitive intelligence, product catalog building, and academic research in the fashion e-commerce domain, benefiting analysts, businesses, and developers.

Sample data, including examples like the provided `uniq_id` and `product_url`, is usually available to help users evaluate the dataset's structure, content, and relevance before committing to full access.

Support typically includes assistance with data integration, clarification on data points, and technical guidance to ensure users can effectively utilize the dataset for their projects.