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Trust & CompanyAnthropologie Catalogue, Size & Fit-Level Pricing Dataset
Anthropologie's US catalogue captured size by size and fit by fit — 31 columns covering price, stock flag, the third-party brand behind each style, colour, size, materials in the description, ratings and image URLs.
It is a multi-brand shelf: the sampled dresses and swimwear carried labels such as Exquise, Sanctuary and By Anthropologie, priced $109 to $198 — and Other_fields separates Standard from Petite fits of the same size.
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. A retailer's own label next to the brands it buys, at variant level.
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.
Fit captured separately from size
Other_fields carries “Fit:Standard” or “Fit:Petite”, so an XS Petite is not confused with an XS — and petite ranges can be analysed on their own.
Own label against third-party brands
Brand names the label — Exquise, Sanctuary, By Anthropologie in the sample — so you can compare the retailer's own margin-rich label with the brands it stocks.
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 anthropologie.com. One row is one size-colour-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 3 styles and 7 colourways |
| Categories | Dresses 30 · Swimwear 20 | Two seasonal categories |
| Brands | Sanctuary 20 · By Anthropologie 18 · Exquise 12 | Third-party labels and own label |
| Fits | Standard and Petite | Captured in Other_fields |
| In stock | 49 of 50 size rows | A well-stocked sample |
| Ratings | On 32 of 50 rows | Newer styles have none yet |
Only tracking dresses, a set of brands or the petite 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 Anthropologie records from February 2025 onwards.
Ask about historical dataNeed more data points?
We can extend this dataset beyond the standard 31 columns — materials and care pulled out of the description are the most requested addition, along with a populated sale flag.
Request custom fields“Anthropologie buys the same brands we do. Seeing their prices and what is left in each size, monthly, told us where we were overpriced.”
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 Anthropologie catalogue data
Anthropologie, part of URBN, sells its own labels alongside third-party brands across womenswear, swim, home and beauty. That mix makes its catalogue a benchmark both for brands it stocks and for retailers competing with it.
Fit is a separate dimension
The same style appears as XXS through XL in Standard and again in Petite, with its own SKUs and stock flags. Other_fields holds the fit, so petite ranges — which brands often under-serve — can be measured directly.
What the description carries
Description holds the style number, colour code, fabric composition and care instructions in one string — “100% polyester”, “92% nylon, 8% elastane”. It is unstructured, but it is where material data lives if you want to extract it.
Two things to plan for
IsOnSale, Discount, Keywords and UPC or EAN came through empty on every sampled row, so detect markdowns by comparing Price with Final Price. Num Ratings and Average Ratings are present on 32 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
Other_fields carries “Fit:Petite”, each with its own SKU and stock flag, so standard and petite ranges never get mixed.
Brand carries the label — Sanctuary, Exquise, By Anthropologie in the sample — rather than just the retailer, so third-party brands can be tracked across retailers.
