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Trust & CompanyMissguided Catalogue, Markdown & Size-Level Stock Dataset
Missguided is a fast-fashion womenswear brand built on trend drops and constant promotion, and this file captures its US catalogue at variant level — 30 columns covering list price, final price, discount, stock flag, colour, size and ratings.
Prices are low and cuts are deep: the sample ran $19.59 to $50.89 with 35 of 50 rows discounted, the deepest at 45% off, and 15 of 50 sizes already gone.
The file already exists, because this pipeline runs once a month whether you buy it or not. Most vendors start collecting after you order — which is why they quote a lead time. Here the most recent file is in your account within minutes of payment, with an API key issued at the same time.
What you get, in plain terms
Four things. Trend-led womenswear, where the markdown and the sell-out arrive within weeks.
One row per size and colour
The file is at variant level, not product level: every size and colourway of a style is its own row with its own SKU and stock flag, so you can see exactly which sizes are still buyable.
List price and final price side by side
Price is the list price, Final Price what a shopper pays and Discount the saving in dollars, so markdown depth is a subtraction, not a guess.
Dual sizing on the row
Size carries both conventions — “2(XS)”, “4(S)”, “8/10(L)” — so US numeric and letter sizing map to each other without a lookup table.
However you want it
Direct download, REST API, Amazon S3, Google Cloud, Snowflake or SFTP. The API key comes with the dataset.
Fields included in this dataset
All 30 columns, in the exact order they appear in the file — taken straight from the sample, not from a brochure. The free sample ships with a data dictionary giving an example value for each one.
Sample rows from the real file
Real rows from the sample file, not an illustration. The supplied sample has 50 variant rows with all 30 columns.
Coverage
Captured monthly across missguidedus.com. One row is one size-colour variant, identified by its SKU, with the style in PID.
| Metric | In the supplied sample | What it tells you |
|---|---|---|
| Variant rows | 50 across 11 styles | Sweatpants, skirts, shorts |
| Categories | Sweatpants 19 · Skirts 17 · Pants 9 | Women's bottoms in this sample |
| Discounted rows | 35 of 50 | Deepest 45% off |
| Price range | $19.59 – $50.89 | Median $29.99 |
| Out of stock | 15 of 50 size rows | Three in ten sizes gone |
| Ratings | 41 of 50 rows | Average 4.8 |
Only tracking dresses, a collaboration or a size range? Send the list and we will price a narrower file.
Historical data
The last 30 days come with the dataset. Beyond that we hold Missguided records from February 2025 onwards.
Ask about historical dataNeed more data points?
We can extend this dataset beyond the standard 30 columns — first-seen dates for new drops is the most requested addition, along with a populated sale flag.
Request custom fields“Their trend pieces are marked down before ours have landed. Monthly variant data is how we time our own drops now.”
What people use this dataset for
Retail and brand pricing teams
Benchmark list prices, markdown depth and timing against a competitor's live catalogue.
Merchandising and planning
See assortment width, size depth and what is already out of stock, category by category.
Marketplace and resale sellers
Track which styles, colours and sizes disappear first to shape your own buys.
Data and AI teams
Train product matching, attribute extraction and pricing models on clean, structured catalogue data.
About Missguided catalogue data
Missguided sells trend-led womenswear at accessible prices, with ranges that move from launch to markdown in weeks. Catching that cycle needs variant-level capture, because the size that matters is usually the first to go.
Markdowns are the norm
Thirty-five of 50 sampled rows were discounted, with savings recorded in dollars and the deepest cut at 45%. Sequin skirts, joggers from the Playboy collaboration and lace shorts all appeared at reduced prices while still listed as current.
Dual sizing built in
Sizes read “2(XS)”, “4(S)”, “6(M)”, “8/10(L)”, “12(XL)”, so US numeric and letter conventions travel together. That makes the file easy to align with a range that uses either.
Two things to plan for
IsOnSale, Keywords, Manufacturer and UPC or EAN came through empty on every sampled row, so detect markdowns by comparing Price with Final Price. Ratings are present on 41 of 50 rows.
Is collecting this data legal?
Collecting publicly visible product and price information is generally lawful in most jurisdictions. Actowiz collects only public pages, respects robots.txt and platform terms, holds no personal data, and aligns with GDPR and CCPA. We are ISO 9001 and ISO 27001 certified, and this dataset carries documented provenance so your legal team can review the source before you buy.
Frequently asked questions
Price with Final Price; Discount gives the saving in dollars on 35 of 50 sampled rows. The sale flag is empty in this feed.
