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Trust & CompanyBonobos Catalogue, Fit-Level Stock & Markdown Dataset
Bonobos built its business on fit, and this file captures that — 31 columns where every row is a size, length and fit combination: “36s-slim-Full-Suit-Blazer” with its own SKU, price, discount and stock flag.
Tailoring is also where markdowns are deepest. In the supplied sample an Empire Super 150s blazer was cut from $1,200 to $598 and a Jetsetter Italian cotton blazer from $650 to $258 — a $392 saving recorded in dollars.
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. Menswear tailoring, where size, length and fit are three separate dimensions.
Size, length and fit in one key
Size encodes the lot — “36r-athletic-Full-Suit-Blazer” — so short, regular and long in slim, standard and athletic fits are all separate, trackable rows.
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.
Fabric and construction detail
Short Description and Description carry the mill, the canvassing, the lapel and the button count — the detail menswear buyers compare on.
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 bonobos.com. One row is one size-length-fit variant, identified by its SKU, with the style in PID.
| Metric | In the supplied sample | What it tells you |
|---|---|---|
| Variant rows | 50, all unique SKUs | Across 4 tailoring styles |
| Fits | Slim · Standard · Athletic | Each in short and regular lengths |
| Discounted rows | 26 of 50 | More than half the sample marked down |
| Deepest markdown | $1,200 → $598 | Recorded as a $602 saving |
| In stock | 50 of 50 | Every sampled variant buyable |
Category · Gender |
0 of 50 | Not populated — see the FAQ |
Only tracking suiting, shirts or chinos? Send the list and we will price a narrower file.
Historical data
The last 30 days come with the dataset. Beyond that we hold Bonobos records from February 2025 onwards.
Ask about historical dataNeed more data points?
We can extend this dataset beyond the standard 31 columns — size, length and fit split into three columns is the most requested change, along with a populated category path.
Request custom fields“Their blazers were half price in every fit while ours were at full price. One month of data paid for the year.”
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 Bonobos catalogue data
Bonobos sells menswear online with an unusually wide fit range — slim, standard and athletic, in short, regular and long — which is exactly what makes its catalogue awkward to track and valuable to have structured.
Markdowns run deep in tailoring
26 of 50 sampled rows were discounted. An Empire Super 150s blazer sat at $598 against a $1,200 list price; a Jetsetter Italian cotton blazer at $258 against $650. Discount records the saving in dollars — $602 and $392 — so depth is exact.
Fit as a dimension
Because Size encodes size, length, fit and component in one string, a single blazer occupies dozens of rows. Split it on the hyphen and you can ask which fits sell through first, and which lengths a competitor under-stocks.
Two things to plan for
Category and Gender came through empty on every sampled row, and IsOnSale reads “No” on 12 rows that were in fact discounted — compare Price with Final Price instead. Suit components arrive as bundle rows, so a blazer and its trousers can share a style.
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 against Final Price, with Discount giving the saving in dollars.
