Madewell Product Data
Prices, variants, availability, and images from madewell.com — normalised, validated, and delivered into your stack. No collector to build, and none to maintain.
source specification
- Source
- madewell.com
- Segment
- Contemporary & direct-to-consumer
- Origin
- United States — denim-led, J.Crew Group
- Categories
- Denim, Womenswear, Menswear, Shoes, Bags
- Formats
- JSON · CSV · Parquet
- Refresh
- Continuous to daily
about the source
What Madewell sells, and how its catalogue behaves
Madewell is a denim-first American label, sister to J.Crew, whose catalogue is organised around fit names and washes more than around seasonal collections. Jeans persist under stable fit identifiers for years while washes rotate constantly, which produces a very particular data shape.
why teams track it
Why Madewell data is worth having
Denim is one of the few apparel categories where fit is a durable, comparable attribute across brands, and Madewell is the US contemporary benchmark for it. Merchandisers use the feed to track which fits get expanded or retired and how wash rotation drives markdown behaviour.
Visit madewell.comcollection method
How we collect Madewell
Madewell is collected through listing and product page collection, with fit and wash attributes pulled out of the denim product detail. Every source gets a dedicated collector rather than a generic crawler, because the field detail that makes this data useful only survives if the extraction is built for the site it runs against.
Structured at the source
Records are read from madewell.com's own structured responses wherever they exist, rather than reconstructed from page markup. That keeps the feed stable across visual redesigns.
Validated every run
Each field is checked against expected types and historical ranges. A collector producing anomalies is quarantined and repaired upstream instead of emitting bad prices into your pipeline.
Normalised to one schema
Every brand in the catalogue lands on the same schema, so adding a source is a configuration change on your side rather than another integration to write.
what you get back
Fields in the Madewell feed
A normalised core that is identical across every source, plus the attributes that are specific to this one.
Standard across every source
- Product name, brand, and source URL
- Current price, original price, and currency
- Category and subcategory as the source classifies them
- Colour, size, and variant availability
- Product images, deduplicated across variants
- Description, composition, and care text
- Collection timestamp on every record
Specific to Madewell
- Fit and wash attributes extracted from denim product detail
- Stable fit identifiers persisting across seasons
- Inseam and size run coverage where published
- List and promotional price captured separately
related sources
Tracked alongside Madewell
A single brand is a data point. These are the sources customers most often take with it, all delivered on the same schema.
SOC 2 Type II
Audited controls across security, availability, and confidentiality. Report available under NDA.
GDPR & CCPA
Public catalogue data only. No personal data collected, and a DPA is available on request.
99.9% Uptime SLA
Contractual availability with monitored collectors and a public status page.
Data residency
Choose EU or US processing and storage regions to match your obligations.
questions
Frequently Asked Questions
Everything you need to know before you send us your first request.
Still have questions?
Talk to an engineerReady to Get Started?
Talk to us about your sources and volume. We'll return a sample dataset from your target sites before you commit to anything.
