We extract product specifications, designer metadata, material configurations, and regional pricing from Roche-Bobois. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Product Metadata objects from roche-bobois.com. All fields typed and schema-versioned.
"product_id": "RB-MAH-JONG-01", "title": "Mah Jong Modular Sofa", "designer": "Hans Hopfer", "collection": "Les Contemporains", "category": "Sofas", "dimensions_cm": "95 x 95 x 19", "base_material": "Wood frame"
| # | product_id | title | designer | collection | category | sub_category |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Materials & Finishes objects from roche-bobois.com. All fields typed and schema-versioned.
"variant_id": "VAR-FAB-MISSONI-04", "material_type": "Fabric", "fabric_grade": "Exclusive", "colour_name": "Missoni Home Riga", "pattern_designer": "Missoni", "composition": "100% Cotton", "martindale_rub_count": 30000
| # | product_id | variant_id | material_type | fabric_grade | colour_name | colour_hex |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Regional Pricing objects from roche-bobois.com. All fields typed and schema-versioned.
"region_code": "UK", "currency": "GBP", "base_price": 4500.0, "configured_price": 5200.0, "tax_included": true, "delivery_tier": "White Glove", "estimated_lead_time_weeks": 12
| # | product_id | variant_id | region_code | currency | base_price | configured_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for 3D & Media Assets objects from roche-bobois.com. All fields typed and schema-versioned.
"asset_type": "3D_Model", "file_format": "GLTF", "asset_url": "https://media.roche-bobois.com/3d/mah-jong.gltf", "ar_compatible": true, "view_angle": "Isometric", "is_primary": true
| # | product_id | asset_type | asset_url | resolution | file_format | is_primary |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Showrooms objects from roche-bobois.com. All fields typed and schema-versioned.
"store_id": "LON-01", "store_name": "London Chelsea", "city": "London", "address": "411-414 Wandsworth Rd", "latitude": 51.4745, "longitude": -0.1384, "phone": "+44 20 7871 4050"
| # | store_id | store_name | country | city | address | postal_code |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Our infrastructure bypasses region locks and interacts with complex 3D configurators to extract structured data for every product, material grade, and designer collection.
Capture product titles, designer names, collection assignments, and historical design notes for every piece in the catalogue.
Extract and normalise complex modular dimensions, weights, and spatial requirements into structured numerical fields.
Scrape all available fabric grades, leather types, wood finishes, and colour hex codes tied to specific product variants.
Use geo-targeted proxies to extract accurate regional pricing, tax inclusions, and currency data across different country storefronts.
Extract high-resolution image URLs, texture maps, and GLTF/USDZ 3D model links used in their interactive WebGL viewers.
Map all global showrooms, including coordinates, contact details, and available display models per location.
Monitor estimated manufacturing and delivery lead times based on region and selected material configurations.
Map parent-child relationships for modular systems like the Mah Jong sofa, capturing all possible component combinations.
Run continuous pipelines that only emit records when new collections drop or material prices change.
Brief in. Clean data out.
Specify target regions, product categories, or specific designer collections. We map the required schema.
We configure Playwright to handle the WebGL configurators and set up geo-proxies for accurate regional data.
We test material variant completeness, dimension formatting, and price normalisation before deployment.
Clean JSON, CSV, or Parquet pushed to your S3 bucket or Snowflake instance on your schedule.
High-end brands use complex frontends and region-blocking to protect their catalogues. We handle the technical execution.
Roche-Bobois relies heavily on interactive 3D configurators for material selection. Standard HTTP clients cannot see these variants. We use Playwright to execute the JavaScript, interact with the UI, and capture the network payloads containing price modifiers and texture URLs.
Pricing and product availability change based on the user IP. We route requests through residential proxies in your target markets to ensure you receive accurate local pricing and collection data.
A single modular sofa can have thousands of valid material, colour, and layout combinations. Our pipeline iterates through the configuration trees systematically to map the entire variant space without timing out.
Dimensions are often presented in mixed formats or embedded in descriptive text. We use custom parsers to extract strict numerical values for width, height, and depth across all regions.
We intercept the API calls made by the 3D viewer to extract the underlying GLTF/USDZ model files and high-resolution texture maps, preparing the data for spatial computing or interior design software integration.
High-end furniture retailers track pricing strategies, material surcharges, and regional price disparities to position their own catalogues.
Design platforms ingest dimensions, materials, and 3D assets to populate their planning software and client presentation tools.
Technology companies scrape 3D model URLs and texture maps to train spatial computing models and populate AR environments.
Analysts monitor new designer collaborations, material shifts, and collection retirements to forecast luxury interior trends.
Procurement teams track estimated lead times across different regions and material types to gauge global manufacturing delays.
Agencies monitor official catalogues to detect unauthorised replicas or secondary market price deviations.
"Roche-Bobois maintains a highly structured, designer-led catalogue. Extracting this requires navigating complex WebGL configurators and region-locked pricing."
Extracting luxury furniture data involves rendering heavy 3D configurators and mapping thousands of fabric grades. DataFlirt handles the Playwright execution, proxy rotation, and schema normalisation so your team receives clean JSON ready for analysis.
Everything supported by our roche-bobois.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
We use Playwright to execute the JavaScript required by the Roche-Bobois frontend, allowing us to interact with material selectors and trigger the network requests that contain pricing data.
Our residential proxy network allows us to route requests through specific countries, bypassing geo-blocks and capturing the exact catalogue and pricing visible to local consumers.
Custom Python pipelines parse unstructured HTML descriptions into strict data types, converting complex dimensions and multi-language material names into a unified schema.
Data delivered to where your team already works — no new tooling required.
About roche-bobois.com scraping, legality, and pipeline operations.
Ask us directly →Yes. We intercept the network requests made by the WebGL viewer to capture the URLs for the underlying 3D assets, texture maps, and AR-compatible files.
We configure our scrapers to use residential proxies located in your target markets. This ensures the site serves the correct regional catalogue, currency, and tax configurations.
Yes. Our pipeline is built to systematically iterate through the available configuration options, mapping the price modifiers and fabric grades for each valid combination.
For a catalogue of this size, we typically recommend weekly or monthly runs to capture new collections and price adjustments. Daily runs are possible for specific high-priority categories.
Yes. We write custom parsing logic to extract height, width, and depth from the descriptive text, normalising them into standard metric or imperial numerical fields.
We provide a sample dataset covering a specific collection or product category during the scoping phase, allowing you to verify the schema and asset URLs before full deployment.
20-minute scoping call. Pilot dataset within the week. Production within two. Specify the collections, regions, and data points you need. We build the pipeline and deliver structured data directly to your infrastructure.
