Quince Product Data
Prices, variants, availability, and images from quince.com — normalised, validated, and delivered into your stack. No collector to build, and none to maintain.
source specification
- Source
- quince.com
- Segment
- Contemporary & direct-to-consumer
- Origin
- United States — factory-direct essentials
- Categories
- Womenswear, Menswear, Home, Bags, Accessories
- Formats
- JSON · CSV · Parquet
- Refresh
- Continuous to daily
about the source
What Quince sells, and how its catalogue behaves
Quince built its business on a single argument: cut the brand markup and sell cashmere, silk, and leather essentials at factory-adjacent prices. The catalogue spans apparel, home, and accessories, and almost every listing is framed as an explicit comparison against what a traditional brand would charge.
why teams track it
Why Quince data is worth having
Quince is the most aggressive price disruptor in premium basics, which makes it the single most useful competitive reference for anyone selling cashmere, silk, or leather essentials. When Quince moves a price on a category, it moves the perceived fair value of that category.
Visit quince.comcollection method
How we collect Quince
Quince is collected through the structured product data embedded in Quince product pages, including the schema markup the storefront publishes for its own SEO. 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 quince.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 Quince 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 Quince
- Material composition, which is central to the Quince proposition
- Structured schema data published by the storefront itself
- Cross-category coverage spanning apparel, home, and accessories
- Colourway variants with per-colour imagery
related sources
Tracked alongside Quince
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.
