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High street & fast fashion

Stefanel Product Data

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

source specification

Source
stefanel.com
Segment
High street & fast fashion
Origin
Italy — founded 1959 in the Veneto
Categories
Womenswear, Knitwear, Outerwear
Formats
JSON · CSV · Parquet
Refresh
Continuous to daily

about the source

What Stefanel sells, and how its catalogue behaves

Stefanel is an Italian knitwear house that grew out of the Veneto textile district and built its name on wool and cotton knits rather than on trend turnover. The assortment is knit-led and seasonal, with a price position squarely in the European mid-market.

why teams track it

Why Stefanel data is worth having

Knitwear is one of the hardest categories to benchmark because gauge and fibre drive price far more than silhouette does. Stefanel is a useful anchor precisely because it is knit-specialised: its ladder tells you what the European mid-market charges for a given fibre content, which is hard to extract from generalist retailers.

Visit stefanel.com

collection method

How we collect Stefanel

Stefanel is collected through the structured product responses behind the Stefanel storefront, read per category so pricing arrives already separated from presentation markup. 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 stefanel.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 Stefanel 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 Stefanel

  • Fibre composition, which drives price in the knitwear category
  • Seasonal category classification from the storefront
  • List and promotional price captured separately
  • Colourway variants with imagery

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 run is the Irish English storefront, which returns euro pricing and the EU assortment. Other European markets are available as separate feeds if you need per-country price comparison, since Stefanel does not price uniformly across the region.
Composition is extracted into its own field wherever Stefanel publishes it, which for a knit-led brand is most of the catalogue. It is the single most useful attribute in this feed, because comparing a merino piece against an acrylic one on price alone tells you nothing.
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 stefanel.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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