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Trust & CompanyLands' End Catalogue, Waist-and-Inseam Sizing & Review Dataset
Lands' End sells apparel and home textiles in an unusually precise size grid, and this file captures it size by size — 32 columns covering price, stock flag, colour, size, size charts, customer review text and ratings.
The grid is the point: chinos arrive as waist × inseam — “30 x 32”, “31 x 30” — and bedding as Twin, Full Queen and Sham, with review text on all 50 sampled rows and a 4.92 average rating.
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. Precise sizing and a deep review base, captured together.
Waist and inseam as the size
Trousers are sold as “30 x 32”, not “Medium”, so the real fit grid — and which combinations sell out — is visible.
Review text, not just a score
Reviews carries review titles and bodies as JSON alongside the rating, so fit complaints and quality praise can be read per style.
Ratings next to availability
Num Ratings and Average Ratings sit on the row, so a style's popularity can be read against what is left in each size.
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 32 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 32 columns.
Coverage
Captured monthly across landsend.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 2 styles | Chino trousers 42 · bed coverlet 8 |
| Sizing | Waist × inseam · Twin/Queen/Sham | Apparel and home in one grid |
| Price range | $54.95 – $229.95 | Median $79.95 |
| In stock | 50 of 50 | Fully stocked sample |
| Review text · ratings | On all 50 rows | Average 4.92 |
IsOnSale vs price |
“Yes” on 50, no price gap | See “two things to plan for” |
The sample covers only two styles. Ask for a fuller sample, or send the categories you track and we will price a narrower file.
Historical data
The last 30 days come with the dataset. Beyond that we hold Lands' End records from February 2025 onwards.
Ask about historical dataNeed more data points?
We can extend this dataset beyond the standard 32 columns — waist and inseam split into separate columns is the most requested change, along with reviews one per row.
Request custom fields“Waist-by-inseam data is rare and it is exactly what our fit team argues about. Having it monthly, with the reviews next to it, settled several arguments.”
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 Lands' End catalogue data
Lands' End sells classic apparel, outerwear, school uniforms and home textiles, with a reputation built on fit and a size grid far wider than most retailers offer. Its product pages also carry a deep base of customer reviews.
A real fit grid
Chinos in the sample were sold as waist × inseam combinations — 30 x 32, 31 x 30 and so on — each its own row with its own stock flag. Tracked monthly, that shows which combinations a competitor keeps in stock and which it quietly drops.
Reviews on every row
Reviews carries the review titles and bodies as JSON on all 50 sampled rows, with a 4.92 average rating. For a fit team, that text is where sizing complaints surface before they reach your own returns data.
Two things to plan for
IsOnSale reads “Yes” on all 50 rows while list and final price are identical, so the flag is unreliable here — use the price comparison instead. The sample holds only two styles, so ask for a fuller one before judging range or price spread. Review text includes customers' display names.
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 to detect real markdowns.
