Zara Product Data
Prices, variants, availability, and images from zara.com — normalised, validated, and delivered into your stack. No collector to build, and none to maintain.
source specification
- Source
- zara.com
- Segment
- High street & fast fashion
- Origin
- Spain — founded 1975 in A Coruña
- Categories
- Womenswear, Menswear, Shoes, Bags, Accessories
- Formats
- JSON · CSV · Parquet
- Refresh
- Continuous to daily
about the source
What Zara sells, and how its catalogue behaves
Zara is the flagship chain of Inditex and the reference point for the whole fast-fashion category. Its buying model turns new styles around in weeks rather than seasons, which means the catalogue on zara.com is one of the fastest-moving in retail: colourways appear, sell through, and disappear inside a single month. A snapshot taken today and a snapshot taken three weeks from now describe substantially different assortments.
why teams track it
Why Zara data is worth having
Because Zara sets the pace, its assortment is the benchmark competitors trend-map against. Merchandising teams use the feed to see which silhouettes and colour stories get scaled, pricing teams use it to position their own entry price points, and trend forecasters use the drop cadence itself as a leading signal for the rest of the high street.
Visit zara.comcollection method
How we collect Zara
Zara is collected through Zara's own category and product JSON endpoints, read through the storefront's internal ajax layer rather than by parsing rendered HTML. 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 zara.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 Zara 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 Zara
- Per-colourway product variants with their own image sets
- Composition and care text extracted from the product detail payload
- Category and subcategory path as Zara itself classifies the item
- Full-size price history when the feed is collected on a schedule
related sources
Tracked alongside Zara
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.
