We extract product specifications, material finishes, designer profiles, and complex pricing matrices from carlhansen.com. Delivered as clean JSON, CSV, or Parquet to your warehouse.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Base Products objects from carlhansen.com. All fields typed and schema-versioned.
"product_id": "CH24", "title": "Wishbone Chair", "designer_name": "Hans J. Wegner", "design_year": 1950, "category": "Chairs", "base_price": 549.0, "currency": "EUR"
| # | product_id | title | designer_name | design_year | category | sub_category |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Variants & Pricing objects from carlhansen.com. All fields typed and schema-versioned.
"sku": "CH24-OAK-SOAP-NATURAL", "base_product_id": "CH24", "wood_type": "Oak", "finish_treatment": "Soap", "seat_material": "Natural Paper Cord", "price": 649.0, "currency": "EUR"
| # | sku | base_product_id | wood_type | finish_treatment | seat_material | upholstery_group |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Materials & Finishes objects from carlhansen.com. All fields typed and schema-versioned.
"material_id": "MAT-OAK-SOAP", "category": "Wood", "name": "Oak", "treatment": "Soap", "care_instructions": "Wipe with a clean, dry cloth. Reapply soap treatment annually.", "durability_rating": "High"
| # | material_id | category | name | treatment | description | care_instructions |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Designer Profiles objects from carlhansen.com. All fields typed and schema-versioned.
"designer_id": "HJW", "name": "Hans J. Wegner", "birth_year": 1914, "death_year": 2007, "nationality": "Danish", "quote": "A chair is to have no backside.", "notable_works": "['CH24 Wishbone Chair', 'CH07 Shell Chair']"
| # | designer_id | name | birth_year | death_year | nationality | biography |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Technical Specs objects from carlhansen.com. All fields typed and schema-versioned.
"product_id": "CH24", "height_cm": 76.0, "width_cm": 55.0, "depth_cm": 51.0, "seat_height_cm": 45.0, "weight_kg": 4.5, "certification": "FSC Certified"
| # | product_id | height_cm | width_cm | depth_cm | seat_height_cm | armrest_height_cm |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our scraper handles the complex variant matrices of luxury furniture: mapping every wood type, finish, and upholstery combination into a flat, queryable database.
Handle 3D matrices of wood type, finish, and upholstery groups. We iterate through JavaScript state to extract every valid permutation.
Extract region-specific pricing across DK, UK, US, and EU storefronts with currency normalisation.
Link products to historical designer profiles, capturing biographies, quotes, and active years.
Capture 4K lifestyle imagery, silhouetted product shots, and close-up material textures.
Extract dimensions, weight, and testing certifications, standardising metric and imperial units.
Map soap, oil, lacquer, and smoked finishes to SKUs with precise nomenclature.
Extract maintenance guidelines per material type to feed customer support and product detail pages.
Parse localised content and language variants across all supported Carl Hansen regional sites.
Track price adjustments, new finish introductions, and discontinued variants with hash-based diffing.
Brief in. Clean data out.
Provide target categories, regions, or designer collections. We design the extraction schema together.
We configure Scrapy and Playwright crawlers to handle the dynamic variant loading on carlhansen.com.
Schema validation, null-rate checks, and permutation completeness testing before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Luxury furniture sites use heavy frontend frameworks to manage thousands of visual permutations. Here is how we extract it cleanly.
carlhansen.com uses dynamic JavaScript to load price permutations. We execute Playwright to iterate through all valid material, finish, and fabric combinations to build a complete SKU matrix.
The site forces redirects based on IP. Our crawlers use residential ISP proxies located in the target region to capture accurate local pricing and availability.
To prevent downloading the same oak texture 5,000 times across different SKUs, we use content hashing to deduplicate image assets at the extraction layer.
Dimensions and weights are often formatted inconsistently across regions. We parse and normalise all measurements into strict numeric fields.
Frontend updates break brittle scrapers. We use fallback selector chains across CSS, XPath, and JSON-LD to maintain pipeline stability.
Premium furniture retailers track pricing across regions to ensure parity and monitor discounting strategies.
B2B platforms aggregate 3D models, technical specs, and pricing to feed procurement tools for architects.
Market analysts track the introduction of new materials, finishes, and sustainable certifications across the catalogue.
Brand protection agencies use authentic specification data to train models that identify replica listings on third-party marketplaces.
Authorised dealers automate the ingestion of new SKUs, imagery, and care instructions into their own e-commerce platforms.
Competing brands analyse category density and price positioning to inform their own product development roadmaps.
"Carl Hansen's catalogue represents the pinnacle of Danish design, but its nested variant matrices make it notoriously difficult to extract cleanly."
Extracting luxury furniture data requires navigating thousands of valid permutations per product. DataFlirt handles the heavy JavaScript rendering and state iteration required to map every wood, finish, and fabric combination into a flat, queryable schema.
Everything supported by our carlhansen.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.
Scrapy handles crawl orchestration and deduplication. Playwright handles the heavy JavaScript state iteration required for furniture variant matrices.
We maintain pools of residential ISP proxies across EU and US regions to bypass geo-blocks and capture accurate regional pricing.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. All state is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About carlhansen.com scraping, legality, and pipeline operations.
Ask us directly →We use Playwright to systematically iterate through the frontend state variables. Our crawler selects each wood type, finish, and upholstery group, waits for the DOM to update, and extracts the resulting SKU, price, and image URL.
Yes. We route requests through regional residential proxies to trigger the correct local storefront, allowing us to build a comprehensive matrix of DKK, EUR, GBP, and USD pricing.
Yes. We capture the highest available resolution for product silhouettes, lifestyle shots, and material texture close-ups, delivering the URLs in structured arrays.
Yes. We parse the raw text from the specifications tab and convert dimensions and weights into strict numeric fields, standardising units across regions.
For a catalogue of this size, we typically run daily or weekly full refreshes. Change-detection logic ensures you only process records that have been updated since the last run.
No. DataFlirt only extracts publicly available data. We do not circumvent authentication walls or extract confidential wholesale pricing without explicit authorisation and provided credentials.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue dump or a continuous price-monitoring feed across all regional storefronts, we scope, build, and operate the pipeline. Tell us what you need.
