Fashion and apparel data, business-ready

Variant-level catalog and price data across the fashion brands you watch, from first drop to final markdown.

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Fashion and apparel data

Fashion catalogs don't sit still. New arrivals land weekly, markdowns deepen as the season ages, and a single style splinters into dozens of size and colorway variants, each selling through at its own pace. By the time a manual competitor check is finished, it's already stale.

Signals a merchandiser can actually use

Datka delivers structured catalog and pricing data across the fashion brands and retailers you choose, from high street to luxury. Each row is a product variant with its price history, discount depth, size and colorway availability, and category, collected on a cadence that matches your trading calendar. Because assortments differ by region, we track per market: the range a brand shows in Germany often isn't the range it shows in the UK, and the data keeps those views separate and comparable.

Five competitors, one sale season

Here's the shape of a typical engagement. A merchandiser wants markdown behavior for five competitors through the summer sale. The delivered rows answer questions that screenshots and spot checks can't: when did each competitor start cutting, how deep did the first round go, which categories were sacrificed first, and which styles never went on sale at all. Sizes vanishing from a product page tell their own story about sell-through. With every variant timestamped, "they went to 40% off in week two, but only on outerwear" stops being a hunch and becomes a chart.

From first drop to clearance

Everything arrives validated and normalized, which is what business-ready means in practice: named columns, price history you can plot, no HTML to clean up. Pipe it into BigQuery, take it as CSV or JSON, or read it over an API, whichever your team already uses. If your focus is purely on price moves, competitor price monitoring covers that workflow; the product page explains how assessment, sampling, and recurring delivery work end to end.

Name the five (or fifteen) brands you're watching, and we'll assess them and send back a real sample of the data before you spend anything. Get a free assessment.

Frequently Asked Questions

Which brands and retailers can you cover?
A wide spread: high-street labels, mid-market brands, luxury houses, brand DTC sites, and multi-brand retailers. Coverage is scoped per project around the names you actually compete with. We confirm your exact target list, and what's feasible for each site, in a free assessment before you commit.
Do you cover multiple countries and locales?
Yes. Fashion assortments and prices genuinely differ by region, so we collect per market and keep each locale's view separate but comparable. You can put the German range next to the UK range and see exactly where they diverge.
What exactly do I receive?
Variant-level rows: product, size, colorway, category, current and historical price, discount depth, and availability, each timestamped. It arrives validated and normalized, so brands that structure their sites completely differently still line up in the same columns.
Can you track markdown depth through a full season?
Yes, that's one of the most common uses. Because every variant carries its price history, you can chart when each competitor started cutting, how deep each round went, and which categories were discounted first. Sizes disappearing from a listing also give you a read on sell-through.

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