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Trust & CompanyFoot Locker Catalogue, Size-Level Stock & Pricing Dataset
Foot Locker is the largest sneaker retailer in the US, and this file captures its catalogue size by size — 30 columns covering price, final price, stock flag, brand, colour, size, category path, barcode, ratings and images.
Footwear and apparel sit in one file: the supplied sample ran from $55 shorts to a $450 jacket, all Nike, with a 4.86 average rating and five rows already marked down by up to 40%.
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. The sneaker shelf everyone benchmarks against, at the level where sell-through shows.
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.
Barcode on almost every row
UPC or EAN is populated on 48 of 50 sampled rows, so variants match to your own catalogue or to another retailer's without name matching.
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 footlocker.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 8 styles | Sneakers, jackets, hoodies, shorts |
| Categories | Women's 34 · Men's 16 | Clothing and shoes |
| Price range | $55 – $450 | Median $125 |
| Discounted rows | 5 of 50 | Deepest 40% off |
| Out of stock | 4 of 50 size rows | A well-stocked sample |
| Barcodes · ratings | 48 · 43 of 50 | Average 4.86 |
Only tracking sneakers, a brand or the kids' range? Send the categories and we will price a narrower file.
Historical data
The last 30 days come with the dataset. Beyond that we hold Foot Locker records from February 2025 onwards.
Ask about historical dataNeed more data points?
We can extend this dataset beyond the standard 30 columns — a launch-date field for new drops is the most requested addition, along with a populated sale flag.
Request custom fields“Foot Locker is where our sneakers are judged. Knowing which sizes are gone, monthly, told us where allocation went wrong.”
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 Foot Locker catalogue data
Foot Locker sells sneakers and athletic apparel from the major brands across the US. Its assortment and pricing are a reference point for brands selling through it and for retailers competing with it.
Footwear and apparel together
The sample covered Nike sneakers, jackets, hoodies and shorts, with women's lines making up 34 of 50 rows. Apparel sizes (XS–XL) and shoe sizes arrive in the same Size column, so split by category when you analyse size curves.
Well stocked, lightly discounted
Only four of 50 sampled size rows were out of stock and five carried a markdown — a different picture from the end-of-season retailers in this catalogue, and a useful contrast when you benchmark promotional intensity.
Two things to plan for
IsOnSale, Discount, Keywords and Manufacturer came through empty, so compare Price with Final Price. Ratings are present on 43 of 50 rows; newer styles carry none.
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; five of 50 sampled rows differed, the deepest by 40%. The IsOnSale column is empty in this feed.
