By industry
Pricing & Promotions
Brand & Intelligence
Digital Shelf & Search
Assortment
For Retailers
E-Commerce Dashboard
Flipkart Insights (Live) 
Grocery Intelligence.svg)
Grocery Price (U.S.).svg)
Quick Commerce (India) 
Food & Restaurant
Fashion Intelligence
Automotive
Travel & Hospitality
Real Estate
Food Delivery Intelligence 
OTT & Streaming 
Fuel & EV Charging Price Tracker 
By Use Case
Pricing Intelligence
Digital Shelf Analytics
MAP Monitoring 
Cross-Border Price Parity 
Share of Search
Review Sentiment
Kitchen Market Gaps 
Dynamic Pricing / AI Repricing 
Promotions & Deals Alerts 
B2B / POI & Lead Data 
AI Search Visibility Dashboard 
Baby Products on Quick Commerce 
Hotel & Flight Rate Parity 
By Region
Flipkart Real-Time Insights
Quick Commerce — Zepto · Blinkit
Pincode Price Tracker
GCC Q-Commerce — Talabat · Noon 
UK Grocery — Tesco, Sainsbury's, Asda
AU Grocery — Coles & Woolworths 
Marketplace Scrapers
Developer APIs
Universal APIs
Delivery & SDKs
Knowledge Center
Guides & Playbooks
Downloads & Tools
Trust & CompanyStuart Weitzman Catalogue, Width & Heel-Height Stock Dataset
Stuart Weitzman sells luxury footwear in a fit grid most brands do not attempt, and this file keeps it — 34 columns including dedicated Width and Height fields alongside price, discount, stock flag and category path.
Those two columns are the dataset: widths run Narrow, Medium and Wide and heel heights are recorded per style, with 29 of 50 size rows out of stock at $495 to $595.
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. Luxury shoes, where width and heel height are the product.
Width as its own column
Width carries MEDIUM, WIDE or NARROW — 39, 9 and 2 of the sampled rows — so the fit range is a field, not a string to parse.
Heel height recorded
Height gives the heel measurement per style, so stilettos, block heels and flats can be compared on the number rather than the name.
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.
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 34 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 34 columns.
Coverage
Captured monthly across stuartweitzman.com. One row is one size-width variant, identified by its SKU, with the style in PID.
| Metric | In the supplied sample | What it tells you |
|---|---|---|
| Variant rows | 50 across 5 styles | Loafers, sneakers, sandals, stilettos |
| Widths | Medium 39 · Wide 9 · Narrow 2 | A real width range |
| Heel heights | On 30 of 50 rows | Flats carry none |
| Price range | $495 – $595 | Consistent luxury pricing |
| Discounted rows | 8 of 50 | Deepest 40% off |
| Out of stock | 29 of 50 size rows | Nearly three in five gone |
Only tracking heels, flats or the sale 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 Stuart Weitzman records from February 2025 onwards.
Ask about historical dataNeed more data points?
We can extend this dataset beyond the standard 34 columns — heel height parsed to a number and a populated material field are the most requested additions.
Request custom fields“Width and heel height are the two things our customers ask about first. No other feed we buy has them as their own columns.”
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 Stuart Weitzman catalogue data
Stuart Weitzman is a luxury footwear house known for fit — a wide size range with narrow, medium and wide options across much of the collection. That fit grid is what this dataset preserves.
Width and heel height as fields
Thirty-nine sampled rows were Medium, nine Wide and two Narrow, and heel height is recorded on 30. Most footwear feeds bury both inside a size string, if they carry them at all.
Sold out more than marked down
Twenty-nine of 50 sampled size-width rows were unavailable while only eight were discounted — the pattern of a full-price brand clearing through demand rather than promotion.
Two things to plan for
Material and Style are present as columns but came through empty on every sampled row, as did Keywords, Manufacturer and both rating columns. Height is recorded in the brand's own notation — “27/8-H”, “16/8-M” — so parse it before comparing numerically.
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
Width carries MEDIUM, WIDE or NARROW, and Height carries the heel measurement. Neither has to be parsed out of the size string.
