We extract designer furniture catalogues, material finishes, dimensions, and pricing signals from kartell.com. Delivered as clean JSON, CSV, or Parquet to your warehouse on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Product Catalogue objects from kartell.com. All fields typed and schema-versioned.
"sku": "03270", "name": "Componibili Bio", "designer": "Anna Castelli Ferrieri", "collection": "Componibili", "category": "Storage", "base_price": 245.0, "currency": "EUR", "materials": "Bioplastic"
| # | sku | name | designer | collection | category | base_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Variants & Finishes objects from kartell.com. All fields typed and schema-versioned.
"variant_sku": "03270-BI", "parent_sku": "03270", "finish_name": "White", "finish_code": "BI", "final_price": 245.0, "stock_status": "In Stock", "lead_time_days": 5
| # | variant_sku | parent_sku | finish_name | finish_code | colour_hex | price_modifier |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Designer Data objects from kartell.com. All fields typed and schema-versioned.
"designer_name": "Philippe Starck", "nationality": "French", "products_designed_count": 42, "awards": "["Compasso d'Oro"]", "active_years": "1980-Present", "portrait_image_url": "https://kartell.com/img/starck.jpg"
| # | designer_id | designer_name | profile_url | bio | active_years | products_designed_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Dealer Network objects from kartell.com. All fields typed and schema-versioned.
"store_id": "K-MIL-01", "store_name": "Kartell Flagship Store Milano", "store_type": "Flagship", "city": "Milan", "country": "Italy", "latitude": 45.4701, "longitude": 9.1895
| # | store_id | store_name | store_type | address_line_1 | city | postal_code |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Technical Specs objects from kartell.com. All fields typed and schema-versioned.
"sku": "04897", "weight_kg": 4.8, "height_cm": 94.0, "width_cm": 54.0, "depth_cm": 55.0, "seat_height_cm": 47.0, "outdoor_use": true, "assembly_required": false
| # | sku | weight_kg | height_cm | width_cm | depth_cm | seat_height_cm |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Kartell scraper captures intricate product hierarchies, material variations, and regional pricing grids with full JavaScript rendering for dynamic configuration modules.
Extract product names, descriptions, and categorisation data linked directly to their respective design collections.
Capture every available finish, colour code, and material specification across the entire variant tree.
Parse technical dimensions including height, width, depth, weight, and seat height for spatial planning systems.
Extract localised pricing and currency data by routing requests through region-specific proxy networks.
Link every SKU to its original designer, extracting biographical data and historical design timelines.
Scrape the global store locator to map flagship stores, authorised dealers, and retail partners with exact coordinates.
Collect URLs for lifestyle imagery, product silos, and technical diagrams associated with each finish.
Extract links to PDF assembly instructions, care guides, and 3D CAD model files where publicly exposed.
Monitor inventory status and estimated shipping lead times for specific material and colour combinations.
Brief in. Clean data out.
Provide target regions, product categories, or specific collections. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and session management for kartell.com.
Schema validation, null-rate checks, and variant mapping verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
High-end furniture sites rely on heavy JavaScript configurators. Here is how we extract structured data from complex visual interfaces.
Kartell product pages load material and colour options dynamically. We run full Playwright browser sessions to trigger JavaScript events, ensuring every finish combination and its associated price modifier is captured.
Pricing and availability change based on the user location. Our crawlers use residential ISP proxies in your target markets (e.g. Italy, US, UK) to extract the correct regional pricing grids.
A single chair might have 4 frame finishes and 12 fabric options. We traverse these nested structures and flatten them into a normalised, queryable database schema.
We identify and extract the highest resolution image URLs from responsive picture elements, mapping specific image assets to their corresponding colour variants.
We use multiple fallback chains per field, combining CSS selectors, XPath, and JSON-LD structured data to ensure pipeline stability during seasonal catalogue updates.
Furniture retailers monitor Kartell pricing grids across different regions to optimise their own premium product positioning.
B2B procurement platforms ingest dimensional and material data to populate automated spatial planning and CAD software.
Merchandising teams analyse product lifecycle timelines and collection expansions to forecast design trends.
IP protection agencies cross-reference official Kartell specifications and dealer networks against third-party marketplace listings.
Logistics and distribution companies map official retail footprints to optimise supply chain routes for oversized freight.
Sustainability researchers track the shift in Kartell catalogue materials, such as the adoption rate of bioplastics across product lines.
"Kartell digital catalogues embed decades of design history, but extracting structured material and dimensional data requires navigating complex web configurators."
Most teams struggle with high-end furniture sites because product variants are deeply nested inside JavaScript configurators. DataFlirt executes full Playwright sessions to render every finish, material, and regional price point, delivering a flattened, queryable schema directly to your warehouse.
Everything supported by our kartell.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 JavaScript rendering for complex material configurators.
We maintain pools of residential ISP proxies across target regions to capture accurate localised pricing and stock data.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and pipeline health alerting.
Data delivered to where your team already works — no new tooling required.
About kartell.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available catalogue information is generally permissible. DataFlirt targets only public, non-authenticated product, pricing, and dealer data. We do not extract personal data or circumvent authentication walls. Clients should review terms of service and consult legal counsel for specific use cases.
We use full Playwright browser sessions to interact with the frontend JavaScript. This allows us to trigger the necessary events to load every material and colour combination, capturing the specific price modifiers and SKUs for each variant.
Yes. We route requests through residential proxies located in your target countries to ensure the Kartell servers return the correct regional pricing, currency, and stock availability.
For a catalogue of this size (typically under 10,000 SKUs including variants), we can configure daily or weekly pipeline runs to track price changes, stock status, and new product additions.
Yes. We parse the technical specification sections to extract structured data for height, width, depth, weight, and material composition.
No. We only extract publicly visible retail pricing. Wholesale or trade pricing requires authenticated account credentials, which falls outside our standard managed service scope.
Absolutely. We provide a sample run of specific collections or categories during the scoping phase so you can validate the schema and variant mapping before committing.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue dump or continuous price monitoring across regional markets, we scope, build, and operate the pipeline. Tell us what you need.
