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Trust & Companyrag & bone Catalogue, Denim Fits & Markdown Dataset
rag & bone built its name on denim, and this file captures its US catalogue at variant level — 31 columns covering list price, final price, discount, stock flag, colour, size and a category path that names the denim fit.
Full price and sale sit side by side: the sample ran $5 to $588 with 22 of 50 rows discounted, the deepest at 50% off, and 13 of 50 sizes 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. Contemporary fashion where the fit name is part of the product.
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.
Denim fits named in the path
“Men / Denim / Fit 2 - Slim” and the sale paths put the fit and the channel on every row, so fits can be compared and clearance separated.
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 31 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 31 columns.
Coverage
Captured monthly across rag-bone.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 16 styles | Tees, denim, shirts |
| Discounted rows | 22 of 50 | Deepest 50% off |
| Sale section | “Sale / Women / T-Shirts” and more | Clearance identified in the path |
| Price range | $5 – $588 | Median $228 |
| Out of stock | 13 of 50 size rows | One in four sizes gone |
| Colours | 20 distinct | Across 16 styles |
Only tracking denim, a fit or the sale 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 rag & bone records from February 2025 onwards.
Ask about historical dataNeed more data points?
We can extend this dataset beyond the standard 31 columns — fit and wash split into their own fields is the most requested change, along with a populated sale flag.
Request custom fields“Fit names are how denim is actually shopped. Having them on the row, with the markdown, told us which fits they are clearing.”
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 rag & bone catalogue data
rag & bone is a New York contemporary label known for denim and tailored basics, selling through its own site at full price alongside a permanent sale section. Both appear in this file, distinguished by the category path.
Fits are named, not implied
Denim category paths read “Men / Denim / Fit 2 - Slim”, so the brand's own fit naming travels with the product. For a denim buyer, that is the level at which ranges are actually compared.
Sale and full price together
Twenty-two of 50 sampled rows were discounted, the deepest by 50%, and the sale rows carry “Sale /” at the start of their path. Tracking both lets you see what gets cleared and what holds price.
Two things to plan for
IsOnSale, Gender, Keywords, Manufacturer and UPC or EAN came through empty, so detect markdowns by comparing Price with Final Price. Sizes mix numeric (1, 2, 3) and letter (XS–XL) conventions across categories.
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 differs from Final Price — 22 of 50 sampled rows were discounted.
