Luxury marketplace & e-tail

Mytheresa Product Data

Luxury womenswear, Menswear, Shoes, Bags, Kids from mytheresa.com, collected into one Mytheresa dataset you can query, download, or have delivered.

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source specification

Source: mytheresa.com
Segment: Luxury marketplace & e-tail
Origin: Germany — Munich, online since 2006
Categories: Luxury womenswear, Menswear, Shoes, Bags, Kids
Records: 10,670
Formats: CSV · JSONL · API
Refresh: Daily

about the source

What Mytheresa sells, and how its catalogue behaves

Mytheresa grew out of a single Munich boutique into one of the most disciplined luxury e-tailers in the market, known for a tightly edited assortment and an unusually affluent customer base. It buys its own inventory and carries a narrower, deeper selection than the large marketplaces.

why teams track it

What Mytheresa shows about luxury retail

Mytheresa is the European counterweight to NET-A-PORTER, and comparing the two shows how differently two expert buyers read the same designer season. Its narrow assortment also means inclusion is itself a signal: a product carried by Mytheresa has passed a stricter filter than one listed on a marketplace.

Visit mytheresa.com

collection method

How we read mytheresa.com

The Mytheresa collector uses Mytheresa's internal GraphQL API, which returns exactly the fields requested with stable typing.

What it captures from Mytheresa

GraphQL-sourced fields with stable typing across runs
Designer attribution separate from product name
Owned-inventory pricing and markdown timing
Size availability per product

live dataset

10,670 Mytheresa products on record

Product catalogue from Mytheresa — names, prices, colours, materials and images.

10,670

Product records

Fields observed

Daily

Re-crawled

11 Oct 2026

Last crawl

Columns in the current Mytheresa crawl

brandstring
categorystring
colorsarray
createdAtdate
currencystring
descriptionstring
imagesarray
marketplacestring
materialsarray
namestring
pricenumber
subCategorystring
subSubCategorystring · 99% of rows
updatedAtdate

Run inputs

None. The Mytheresa dataset is filled by a scheduled crawl of mytheresa.com, not by per-request runs.

Mytheresa scraper API referenceShopping data overview Use it as training data

related sources

Next to Mytheresa

SSENSE

Canada — founded 2003 in Montreal

Luxury womenswear · Menswear · Streetwear

THE OUTNET

United Kingdom — off-season luxury, launched 2009

Off-season luxury · Womenswear · Shoes

Cettire

Australia — founded 2017

Discounted luxury · Womenswear · Menswear

NET-A-PORTER

United Kingdom — founded 2000 in London

Luxury womenswear · Shoes · Bags

LuisaViaRoma

Italy — Florence, retailing since 1930

Luxury womenswear · Menswear · Shoes

Farfetch

United Kingdom — founded 2007 in London

Luxury womenswear · Menswear · Shoes

Browse all 49 fashion sources

questions

Mytheresa data, answered

Why does the GraphQL source matter?

GraphQL returns typed, explicitly-requested fields, so the feed is more stable across runs than markup extraction and does not silently break when the storefront is redesigned. In practice that means fewer schema surprises and less remediation on your side.

Is menswear covered?

Yes. Mytheresa runs a substantial menswear business alongside womenswear, and both are collected on the same schema with a department field. Kidswear is available on request.

How many Mytheresa products are in the dataset?

10,670 product records at the latest count, from a crawl on 11 Oct 2026. The dataset is re-crawled daily.

How do Mytheresa records differ from a single-brand feed?

Mytheresa lists many designers under one storefront, so each record carries the designer as its own field next to the retailer it was collected from. That lets you compare one designer across retailers, or Mytheresa's mix across designers.

How do I get Mytheresa data?

Download the latest Mytheresa crawl from the datasets catalogue as CSV or JSONL, query it through the API under the dataset id "my_theresa", or ask us for a scheduled delivery into your own storage.

Try Mytheresa data first

Download 100 rows from the latest mytheresa.com crawl and check them against your own numbers before committing.

Talk to an engineer

Explore collected catalogue fields and discuss your data requirements — how we work.