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High street & fast fashion

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.com

collection 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.

15min
Fastest refresh
99.9%
Uptime SLA
3
Delivery formats
49+
Fashion sources

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

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.

The default collector runs against the US English storefront, which carries USD pricing and the US assortment. Zara localises both catalogue and price by market, so if you need EU, UK, or APAC pricing we run a separate collection per locale and return them as distinct feeds you can join on product reference. Adding locales is part of standard onboarding rather than a custom build.
That is set by the refresh cadence you choose rather than by any limit on our side. Teams tracking drop velocity typically run Zara daily, which is enough to catch a style within a day of it going live. Slower cadences still capture the assortment accurately, they just blur the exact moment a product landed.
Into the systems you already run, rather than through an API you have to integrate against. Normalised records land as JSON, CSV, or Parquet in S3, GCS, or Azure Blob, or straight into Snowflake or BigQuery, on whatever cadence you set. Webhooks can push price and availability changes as they are detected. A solutions engineer fixes the schema, cadence, and destination with you during onboarding, so the first delivery already matches your pipeline.
Maintaining the collector is our job, not yours. Every field is validated against expected types and historical ranges on each run, and a collector that starts producing anomalies is quarantined rather than allowed to emit bad records. We repair it upstream, and the schema we deliver to you does not move — which is the entire reason to buy this rather than run a scraper in-house.
We collect only publicly visible catalogue data — the prices, descriptions, images, and availability any shopper sees without logging in. We do not bypass authentication, we do not collect personal data, and we honour rate limits so the source is never disrupted. Our infrastructure is SOC 2 Type II certified, our processing is GDPR and CCPA compliant, and we sign DPAs as part of procurement.
Pricing is scoped per engagement, driven by catalogue size, refresh cadence, the number of locales you need, and the delivery destinations involved. Historical backfill is quoted separately. Every engagement starts with a free sample pulled from the live zara.com catalogue, so you can check the data against your own benchmarks before committing to anything.

Still have questions?

Talk to an engineer

Ready 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.

SOC 2 Type II
GDPR & CCPA compliant
99.9% uptime SLA

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