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High street & fast fashion

Arket Product Data

Prices, variants, availability, and images from arket.com — normalised, validated, and delivered into your stack. No collector to build, and none to maintain.

source specification

Source
arket.com
Segment
High street & fast fashion
Origin
Sweden — launched 2017, H&M Group
Categories
Womenswear, Menswear, Kidswear, Home
Formats
JSON · CSV · Parquet
Refresh
Continuous to daily

about the source

What Arket sells, and how its catalogue behaves

Arket is H&M Group's Nordic essentials label, built around durable everyday pieces, transparent material sourcing, and a smaller, slower-moving assortment than anything else in the group. It spans womenswear, menswear, kidswear, and home from a single catalogue, which is unusual at its price point.

why teams track it

Why Arket data is worth having

Arket is where sustainability claims and price meet in a way that is actually measurable: the storefront publishes material composition and provenance alongside price, so the feed supports both pricing analysis and materials-sourcing research from one source. Its cross-category assortment also makes it a useful single-brand proxy for lifestyle retail.

Visit arket.com

collection method

How we collect Arket

Arket is collected through Arket's internal search API, queried per category so pagination is handled server-side and the full assortment is enumerated. 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 arket.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 Arket 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 Arket

  • Material composition and provenance where Arket publishes it
  • Department coverage spanning womenswear, menswear, kids, and home
  • Colourway variants with dedicated imagery
  • Category path as Arket classifies it

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.

It can. The collector is driven by category, so the departments included are a configuration choice rather than a rebuild. Womenswear is the default; adding home, kids, or menswear is part of onboarding and they arrive on the same schema with a department field.
Where Arket publishes them on the product page, yes — composition and provenance are extracted into their own fields rather than left inside a description blob. Coverage depends on what the brand chooses to disclose per product, so treat those fields as populated-where-available rather than guaranteed.
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 arket.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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