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Independent & artisan

Muun Product Data

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

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source specification

Source
muun-collection.com
Segment
Independent & artisan
Origin
France — handcrafted bags
Categories
Bags, Handbags, Accessories
Formats
JSON · CSV · Parquet
Refresh
Continuous to daily

about the source

What Muun sells, and how its catalogue behaves

Muun is a French label making handcrafted bags in natural materials — raffia, straw, and leather — with a strong seasonal skew toward summer. The catalogue is small, material-led, and priced well below the luxury houses while sitting clearly above high-street accessories.

why teams track it

Why Muun data is worth having

Natural-material bags are a fast-growing accessories segment that generalist feeds handle poorly, because material is the price driver and it usually gets lost in description text. Muun is a clean benchmark for the artisanal middle of that market.

Visit muun-collection.com

collection method

How we collect Muun

Muun is collected through WooCommerce bag category pages, parsed for product, variant, and material detail. 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 muun-collection.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 Muun 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 Muun

  • Natural material attribution as an explicit field
  • Strong seasonal availability pattern
  • Colourway variants with imagery
  • EUR pricing with sale price captured separately
See the full shopping data productUse it as ML training data

related sources

Tracked alongside Muun

A single brand is a data point. These are the sources customers most often take with it, all delivered on the same schema.

Senso

Australia — Sydney

K.Jacques

France — Saint-Tropez, since 1933

Anniel

Italy — hand-finished footwear

Vibi Venezia

Italy — Venice

Meher Kakalia

Hand-embroidered artisan footwear

Faliero Sarti

Italy — Tuscan textile house since 1949

Browse all 49 fashion sources

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.

Yes, where the storefront publishes it. In this category material is the price driver — raffia, straw, and leather occupy different price bands — so leaving it inside a description string would make the price data much harder to use.
Very. The assortment expands sharply for spring and summer and contracts afterwards, which makes it a good stress test for seasonality models and a poor source to read from a single snapshot.
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 muun-collection.com catalogue, so you can check the data against your own benchmarks before committing to anything.

Still have questions?

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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.

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