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Trust & CompanyPrettyLittleThing Catalogue, Markdown & Size-Level Stock Dataset
PrettyLittleThing sells trend-led womenswear at speed, and this file captures its US catalogue at variant level — 30 columns covering list price, final price, discount, stock flag, colour, size and the category path.
The sample is a clearance picture: all 50 rows were discounted, the deepest at 60% off, and 26 of 50 sizes were already gone across sweatsuits, maxi skirts and bodysuits.
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. Fast fashion at clearance speed, where the size that sells goes first.
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.
Colour written into the category
Paths such as “Womens Clothing/Tracksuits & Sweatsuits/Black Sweatsuits & Tracksuits” show how PLT merchandises by colour as well as by garment.
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 prettylittlething.us. 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 | Sweatsuits, maxi skirts, bodysuits |
| Discounted rows | 50 of 50 | Deepest 60% off |
| Price range | $33 – $106 | Before discount |
| Out of stock | 26 of 50 size rows | More than half the sampled sizes |
| Sizes | XS–XL and US 00–8 | Filled on 47 of 50 rows |
| Colours | 10 distinct | Colour also in the category path |
Only tracking dresses, a colour range or new arrivals? Send the list and we will price a narrower file.
Historical data
The last 30 days come with the dataset. Beyond that we hold PrettyLittleThing 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 and a populated sale flag are the most requested additions.
Request custom fields“Everything was already marked down and half the sizes were gone. That is the state of the range, and it is what we needed to see monthly.”
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 PrettyLittleThing catalogue data
PrettyLittleThing sells trend-led womenswear online at low prices and high speed, with ranges that reach markdown within weeks of landing. Variant-level capture is the only way to see what is really left.
Clearance is the state of the range
Every one of the 50 sampled rows carried a discount, the deepest at 60%, while 26 rows were out of stock. Tracked monthly, that combination dates how quickly a range moves from launch to clearance to gone.
Colour is part of the taxonomy
Category paths run down to colour — “Black Sweatsuits & Tracksuits” — which is how PLT's customers browse, and a useful signal of which colours the retailer is pushing.
Two things to plan for
IsOnSale, Gender, Keywords, Manufacturer, UPC or EAN and both rating columns came through empty, so use Price against Final Price for markdowns. Sizes mix letter (XS–XL) and US numeric (00–8) conventions, and the variant price column is spelled varint_price in lower case here.
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.
