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Michael Kors Catalogue, Outlet Pricing & Size-Level Stock Dataset

Q: How do I separate outlet from full price?

Use Brand, which names the line — “Michael Kors Outlet”, “Michael Kors Collection”, “Michael Kors Mens” — or the category path, which starts with “outlet /” on those rows.

Q: How do I detect markdowns?

Compare Price with Final Price; Discount gives the saving in dollars on 39 of 50 sampled rows. IsOnSale is empty in this feed.

Michael Kors runs several lines at once, and this file keeps them apart — 32 columns covering list price, final price, discount, stock flag, size, size charts, review text and the line each product belongs to.

That is the dataset: Collection, mainline, Mens and Outlet in one file, priced from $58 to $3,990, with 39 of 50 rows discounted and the deepest cut at 81% off.

This data is available for download immediately after purchase

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.

$499.00per month

All prices are in USD · GST or VAT added on the invoice

Every style, size and colour by size and colour

32 fields, all listed below

This dataset was last updated on 02-Oct-2026

Delivered monthly · cancel any time

Excel and CSV included · JSON and Parquet on request

Please download the sample first and check the fields against what you need. Data files are not refundable once delivered.

VISA · MASTERCARD · AMEX · UPI · NET BANKING

Fields Sample rows Coverage Historical FAQ Add to cart · $499.00

What you get, in plain terms

Four things. One brand, four price ladders — and the data to tell them apart.

Collection, mainline, Mens and Outlet

Brand names the line — Michael Kors Collection, Michael Kors Mens, Michael Kors Outlet — so runway pricing is never averaged with outlet clearance.

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.

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.

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.

S.No.WebsitePIDName Short DescriptionDescriptionCategoryImage URL PricePrice CurrencySale PriceFinal Price DiscountIsOnSaleIsInStockKeywords BrandManufacturerMPNUPC or EAN SKUColourGenderSize Size ChartVarint_PriceAlternate Image URLsLink URL Num RatingsAverage RatingsReviewshash_id

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.

Sample is free, no signup and no card. Check the fields before you buy — files are not refundable once delivered.

Coverage

Captured monthly across michaelkors.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 18 styles	Shoes, jackets, jewellery
Lines	Mens 22 · Outlet 13 · Collection 8 · Mainline 5	Four ladders in one file
Price range	$58 – $3,990	Outlet slides through runway
Discounted rows	39 of 50	Deepest 81% off
Out of stock	2 of 50	Well stocked sample
Size charts · reviews	40 · 21 of 50	Ratings on 33, average 4.32

Only tracking one line — Collection, Mens or Outlet? Send the list and we will price a narrower file.

Historical data

The last 30 days come with the dataset. Beyond that we hold Michael Kors records from February 2025 onwards.

Ask about historical data

Need more data points?

We can extend this dataset beyond the standard 32 columns — a clean line field and a populated gender are the most requested additions.

Request custom fields

“Outlet at 80% off and Collection at four thousand dollars are different businesses. Until the data separated them, our benchmarks were meaningless.”

Rebecca Cho · Pricing StrategyUS accessories group · downloaded the sample, bought the same month

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.

No procurement cycle. Card payment, invoice on the spot. Most buyers are querying data the same afternoon.

Maintenance is ours. When Michael Kors changes its layout, the file you receive does not change shape.

Analysis-ready. Loads straight into Excel, Power BI, Tableau, BigQuery or a pandas notebook.

Cancel whenever. The feed runs to the end of the period you paid for, then stops. No notice, no fee.

About Michael Kors catalogue data

Michael Kors sells across several tiers on one site: the runway-led Collection, the mainline accessories range, a menswear line and an outlet channel. Each has its own pricing logic, and the file labels every row with the line it came from.

Four ladders, one file

The sample ran from a $58 outlet slide to a $3,990 Collection jacket, with 39 of 50 rows discounted and one cut by 81%. Outlet is where the deepest markdowns sit; Collection barely moves. Separating them is the difference between a usable benchmark and a meaningless average.

Reviews and size charts

Size charts appear on 40 of 50 rows and review text on 21, with ratings on 33. For footwear — 18 of 50 sampled rows were men's shoes — that combination explains which sizes run small and which sell through.

Two things to plan for

Category paths arrive lower-case with spaces around the slash — “men / shoes”, “outlet / shoes / flip flops & slides” — so normalise before grouping. Gender, IsOnSale, Keywords and Manufacturer came through empty; the line and category carry that information instead.

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

Use Brand, which names the line — “Michael Kors Outlet”, “Michael Kors Collection”, “Michael Kors Mens” — or the category path, which starts with “outlet /” on those rows.

Compare Price with Final Price; Discount gives the saving in dollars on 39 of 50 sampled rows. IsOnSale is empty in this feed.

Once a month. Each file is a fresh capture of the catalogue, which suits assortment, range and benchmarking work. If you need markdowns as they happen, weekly and daily versions of this feed are available.

Immediately. The pipeline runs on its schedule whether you buy it or not, so the current file is in your account within minutes, with an API key. Most vendors start collecting after you order, which is why they quote a lead time.

Yes. Real rows with every field and a data dictionary, no signup and no card. Checking the fields against your own requirement takes five minutes and prevents almost every problem we see.

Excel and CSV are included, UTF-8 encoded. JSON and Parquet are available on request at no extra cost — JSON suits the nested fields best.

Yes, and the key comes with the dataset at no extra charge. It is unmetered for the data you have bought, with a fair-use rate limit documented in the API reference.

Yes. Send the categories, brands or a list of products you track and we will price a narrower file, which costs considerably less than the full catalogue.

Data files are not refundable once delivered, which is why the sample matters. One exception: if a delivered file does not match the field list on this page, that is our error and we fix it or refund that month.

Any time from your account. The feed keeps running until the end of the period you have paid for, then stops. No notice period and no cancellation fee.

We email you 30 days before any field is added, renamed or removed, and we never remove one inside a period you have already paid for.

The last 30 days are included. Beyond that we hold Michael Kors records from February 2025 onwards. Ask and we will confirm exactly what exists for the categories you care about.

Internal use across your whole organisation with unlimited seats. Redistributing the data, reselling it, or embedding it in a product you sell needs a separate licence — tell us what you have in mind.

Of course, though nothing on this page requires it. If you would rather have a call before buying, use the contact form and ask for the datasets team.

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Michael Kors Catalogue, Outlet Pricing & Size-Level Stock Dataset

What you get, in plain terms

Collection, mainline, Mens and Outlet

List price and final price side by side

Review text, not just a score

However you want it

Fields included in this dataset

Sample rows from the real file

Coverage

Historical data

Need more data points?

What people use this dataset for

Retail and brand pricing teams

Merchandising and planning

Marketplace and resale sellers

Data and AI teams

About Michael Kors catalogue data

Four ladders, one file

Reviews and size charts

Two things to plan for

Is collecting this data legal?

Frequently asked questions

How do I separate outlet from full price?

How do I detect markdowns?

How often is the file updated?

How soon can I download the data after paying?

Is the sample really free?

What format does it come in?

Can I get it as an API instead of a file?

Can I get only part of the catalogue?

Is it refundable?

Can I cancel?

What if the fields change?

Do you have historical data?

What licence do I get?

Can I speak to someone first?

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