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Contemporary & direct-to-consumer

Reformation Product Data

Womenswear, Dresses, Denim, Shoes from thereformation.com, collected into one Reformation dataset you can query, download, or have delivered.

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source specification

Source
thereformation.com
Segment
Contemporary & direct-to-consumer
Origin
United States — founded 2009 in Los Angeles
Categories
Womenswear, Dresses, Denim, Shoes
Records
3,105
Formats
CSV · JSONL · API
Refresh
Daily

about the source

What Reformation sells, and how its catalogue behaves

Reformation is the Los Angeles label that made sustainability a mainstream selling point rather than a niche claim, publishing environmental impact data alongside price on its product pages. Its assortment is dress-heavy and occasion-led, with a distinctive silhouette vocabulary that other contemporary brands track closely.

why teams track it

Where Reformation sits in the contemporary market

Reformation is the reference brand for sustainability-positioned contemporary womenswear, and because it publishes impact claims next to price it is one of the few sources where you can study what a sustainability position actually costs the customer. Trend teams also watch it as an early indicator for occasionwear silhouettes.

Visit thereformation.com

collection method

How we read thereformation.com

The Reformation collector uses collection pages combined with the Salesforce Commerce Cloud search grid, so both the curated collection view and the full catalogue are captured.

What it captures from Reformation

  • Sustainability and material attributes where Reformation publishes them
  • Collection membership as well as flat category classification
  • Dress silhouette and length attributes from product detail
  • List and promotional price captured separately

live dataset

3,105 Reformation products on record

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

3,105

Product records

13

Fields observed

Daily

Re-crawled

10 Oct 2026

Last crawl

Columns in the current Reformation crawl

  • brandstring
  • categorystring
  • colorsarray
  • createdAtdate
  • currencystring
  • descriptionstring
  • imagesarray
  • marketplacestring
  • materialsarray
  • namestring
  • pricenumber
  • subCategorystring
  • updatedAtdate

Run inputs

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

Reformation scraper API referenceShopping data overviewUse it as training data

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questions

Reformation data, answered

Are sustainability claims captured as structured fields?
Where Reformation publishes them on the product page, yes — they land in their own fields rather than buried in a description string. Coverage tracks whatever the brand discloses per product, so treat it as populated-where-available. It is one of the few catalogues where this analysis is possible at all.
Does the feed reflect Reformation collections and drops?
Yes. Collection membership is captured alongside the flat category path, because Reformation merchandises heavily by drop and losing that grouping would flatten out exactly the signal trend teams are looking for.
How many Reformation products are in the dataset?
3,105 product records at the latest count, from a crawl on 10 Oct 2026. The dataset is re-crawled daily.
Why collect Reformation from its own storefront?
The brand's own site carries its full-price assortment and its own product copy before any retailer reprices or rewrites it. Collecting from thereformation.com gives the reference price that wholesale and marketplace listings of Reformation can be compared against.
How do I get Reformation data?
Download the latest Reformation crawl from the datasets catalogue as CSV or JSONL, query it through the API under the dataset id "thereformation", or ask us for a scheduled delivery into your own storage.

Try Reformation data first

Download 100 rows from the latest thereformation.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.

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