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High street & fast fashion

Intimissimi Product Data

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

source specification

Source
intimissimi.com
Segment
High street & fast fashion
Origin
Italy — Calzedonia Group, Verona
Categories
Lingerie, Loungewear, Hosiery
Formats
JSON · CSV · Parquet
Refresh
Continuous to daily

about the source

What Intimissimi sells, and how its catalogue behaves

Intimissimi is the Calzedonia Group's lingerie chain and one of the largest specialist intimates retailers in Europe. Its catalogue is structured around size and cup grids rather than the simple size runs used in outerwear, which makes it a genuinely different shape of data from a typical apparel feed.

why teams track it

Why Intimissimi data is worth having

Lingerie pricing is difficult to benchmark because assortment depth sits in the size grid, not the style count — two brands with the same number of styles can differ enormously in inventory commitment. Intimissimi is the European volume reference for that category, and the grid detail is what makes the comparison meaningful.

Visit intimissimi.com

collection method

How we collect Intimissimi

Intimissimi is collected through category page collection with per-product enrichment, tuned for a catalogue where size and cup variants matter as much as colour. 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 intimissimi.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 Intimissimi 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 Intimissimi

  • Size and cup grid depth per style, not just a style count
  • Colourway variants with per-colour imagery
  • Category classification across lingerie, loungewear, and hosiery
  • List and promotional price captured separately

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 captures the grid as the storefront exposes it, which is the meaningful measure for this category. Style-count comparisons are misleading in lingerie because assortment depth lives in the grid — a brand offering a style in four cups and six bands has committed far more inventory than one offering the same style in two sizes.
Yes, where the storefront carries it. Hosiery, loungewear, and lingerie are collected together and arrive tagged by category, so you can split them apart or analyse the assortment as a whole.
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 intimissimi.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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