Every Datka dataset holds one brand's full catalog in each of its markets, in one standard schema with a full data dictionary. Each snapshot passes quality checkpoints at every stage before it is released, and arrives ready to use.
Built for fashion, sportswear, outdoor and beauty, with the categories, sizes and colours those teams already use.
Every brand and market in the same fields, with a full data dictionary, so datasets combine without rework.
Each dataset passes checks for completeness, prices and duplicates before it is released.
When a brand changes its website, our engineers and agents detect the change and fix it before the next snapshot.
Clean, documented fields that analysts, BI tools and AI assistants can use as delivered.
Full catalogs
Every product a brand sells on its own website, not a sample of best sellers.
Size and colour
Each colour and size as its own record, so availability can be compared by market.
Prices
List and sale prices in local currency for every market the dataset covers.
Stock availability
Which sizes and colours are in stock, market by market.
Category and colour mix
Products mapped to one category tree, so assortment mix compares across brands.
Monthly snapshots
A new snapshot every month, with the history stated on each dataset.
Each dataset ships with a data dictionary that defines every field, its type and its allowed values, so an analyst, a BI tool or an AI assistant reads the data the same way.
Northline · Outerwear
Ridge Insulated Jacket
Colour: Pine green · 4 markets
| Market | Price | Sizes | Stock |
|---|---|---|---|
| US | USD 128.00 | S M L XL | In stock |
| Germany | EUR 129.95 | S M L XL | Low on XL |
| Japan | JPY 19,800 | S M | Sold out L XL |
| China | CNY 999.00 | S M L XL | In stock |
Datasets will be bought and delivered through data marketplaces. Enterprise data can also be delivered straight to your warehouse or tools.
A new snapshot arrives every month, and each dataset states how far back its history goes. When a brand changes its website, our engineers and agents detect the change and fix it before the next snapshot.
Request access to a dataset, or book a consultation for custom scope and delivery.