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Luxury marketplace & e-tail

Revolve Product Data

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

source specification

Source
revolve.com
Segment
Luxury marketplace & e-tail
Origin
United States — founded 2003 in Los Angeles
Categories
Contemporary womenswear, Dresses, Shoes, Beauty
Formats
JSON · CSV · Parquet
Refresh
Continuous to daily

about the source

What Revolve sells, and how its catalogue behaves

Revolve is the Los Angeles retailer that built modern influencer commerce, carrying hundreds of contemporary brands with an occasionwear and event-dressing bias. Its assortment moves fast and is unusually responsive to social demand signals.

why teams track it

Why Revolve data is worth having

Revolve is the largest single view of the US contemporary market and the best available proxy for influencer-driven demand. Brands use it to see how they are merchandised and discounted next to their direct competitors on the same shelf.

Visit revolve.com

collection method

How we collect Revolve

Revolve is collected through listing and product page collection across the full brand roster, with brand attribution preserved per listing. 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 revolve.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 Revolve 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 Revolve

  • Brand attribution across a very large multi-brand roster
  • Occasionwear and event category classification
  • List and promotional price captured separately
  • Size availability per listing

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.

Revolve carries hundreds of contemporary labels and the collector enumerates the roster rather than a selected subset. Brand is a first-class field, so you can filter to your own label and its direct competitors and read the shelf as your customer sees it.
FWRD is Revolve Group's luxury arm and has its own dedicated collector on the same schema. Taking both shows how the group separates contemporary from luxury in assortment and price, which is the usual reason customers want the pair.
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 revolve.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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