We extract product collections, designer metadata, material finishes, 3D assets, and technical specifications from Flexform. 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 Catalogue objects from flexform.it. All fields typed and schema-versioned.
"product_id": "FLX-9021", "name": "Groundpiece", "category": "Sofas", "collection": "Indoor Collection", "designer": "Antonio Citterio", "year_designed": 2001, "base_material": "Metal frame with polyurethane padding"
| # | product_id | name | category | sub_category | collection | designer |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Materials & Finishes objects from flexform.it. All fields typed and schema-versioned.
"material_id": "MAT-L-401", "product_id": "FLX-9021", "material_type": "Leather", "finish_name": "Pelle Nabuk", "colour_code": "8014", "composition": "100% Top Grain Leather", "swatch_image_url": "https://flexform.it/media/swatches/nabuk_8014.jpg"
| # | material_id | product_id | material_type | finish_name | colour_code | composition |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Technical Specs objects from flexform.it. All fields typed and schema-versioned.
"product_id": "FLX-9021", "module_id": "MOD-100x122", "width_cm": 100, "depth_cm": 122, "height_cm": 56, "seat_height_cm": 40, "schematic_image_url": "https://flexform.it/media/tech/groundpiece_100x122.png", "cad_3d_url": "https://flexform.it/assets/cad/groundpiece_3d.dwg"
| # | product_id | module_id | width_cm | depth_cm | height_cm | seat_height_cm |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Designers objects from flexform.it. All fields typed and schema-versioned.
"designer_id": "DSG-001", "name": "Antonio Citterio", "country": "Italy", "collaboration_start_year": 1970, "total_products": 142, "profile_image_url": "https://flexform.it/media/designers/citterio.jpg"
| # | designer_id | name | studio_name | biography | country | collaboration_start_year |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Dealer Network objects from flexform.it. All fields typed and schema-versioned.
"dealer_id": "DLR-IT-045", "store_name": "Flexform Milano", "store_type": "Flagship Store", "city": "Milan", "country": "Italy", "latitude": 45.4642, "longitude": 9.19, "phone": "+39 02 1234567"
| # | dealer_id | store_name | store_type | address_line_1 | city | region |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Flexform scraper targets the deep catalogue metadata: navigating complex material configurators, extracting precise technical dimensions, and capturing high-resolution assets and CAD files.
Extract every sofa, armchair, table, and bed. Capture names, collections, designers, and detailed product descriptions.
Parse modular seating dimensions. Capture width, depth, height, and seat height for every individual module variant.
Navigate dynamic configurators to extract all fabric, leather, metal, and wood finishes associated with a product.
Scrape URLs for 2D schematics, 3D models (DWG, OBJ), and BIM files for architectural integration.
Capture the highest quality image URLs for product galleries, lifestyle shots, and material swatches.
Extract biographical data, collaboration history, and product portfolios for every designer featured on the site.
Extract descriptions and technical specs in English, Italian, French, German, or any supported site locale.
Scrape the entire store locator map. Capture flagship stores, authorised dealers, addresses, and geographic coordinates.
Run monthly pipelines to detect new product launches, discontinued modules, or updated material options.
Brief in. Clean data out.
Specify target collections, languages, and asset types (e.g., just metadata vs full CAD file extraction).
We configure Playwright to navigate material configurators and handle cookie consent walls across flexform.it.
Schema validation ensures dimension integrity, accurate variant mapping, and zero broken asset links.
JSON, CSV, or Parquet delivered to your S3 bucket or Snowflake instance on a defined schedule.
High-end furniture sites prioritise visual experience over data structure. Here is how we extract clean data from visually heavy interfaces.
Flexform products have hundreds of fabric and finish combinations rendered dynamically via JavaScript. We use Playwright to systematically iterate through configurator states, capturing the exact SKU, swatch image, and material composition for every variant.
Technical files and high-resolution images are often obfuscated behind download modals or lazy-loaded galleries. Our pipeline triggers these network requests to extract the direct, unexpiring URLs for your asset management systems.
Products like the Groundpiece sofa are not single items; they are modular systems. We map the parent-child relationship between the primary collection and the dozens of individual seating, armrest, and shelving modules.
We manage session cookies and URL parameters to ensure data is extracted consistently in your target language, preventing mixed-locale datasets when scraping descriptions and technical terms.
To avoid disrupting site performance or triggering blocks, we optimise concurrency and use European residential proxies, ensuring reliable extraction without aggressively hammering the origin servers.
Digital design tools ingest technical dimensions and 3D models to populate their spatial planning software.
Procurement platforms maintain up-to-date catalogues of luxury Italian furniture for architect and trade specifications.
Rival luxury brands track material trends, new collection launches, and designer collaborations.
Real estate and retail analysts scrape dealer networks to map the geographic distribution of high-end furniture showrooms.
Textile and material manufacturers analyse the frequency of specific leathers, fabrics, and metal finishes in new collections.
Architecture firms build internal libraries of CAD and BIM files mapped to exact product specifications for client presentations.
"Flexform's digital catalogue holds the blueprint for modern Italian design—extracting its precise dimensions, materials, and 3D assets requires a purpose-built pipeline."
Scraping luxury furniture sites demands more than standard HTTP clients. Flexform relies on heavy WebGL configurators, high-resolution image grids, and complex material variant matrices. DataFlirt manages the JavaScript rendering and asset extraction so your team can focus on catalogue ingestion.
Everything supported by our flexform.it 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 manages the crawl orchestration and deduplication, while Playwright handles the JavaScript rendering required for Flexform's material configurators and lazy-loaded assets.
We utilise European residential IP pools to ensure reliable access to the Italian origin servers, preventing rate limits and geographic blocks.
Pipelines are scheduled via Apache Airflow and executed on Kubernetes, providing scalable infrastructure for processing image-heavy catalogues.
Data delivered to where your team already works — no new tooling required.
About flexform.it scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available catalogue data, technical dimensions, and dealer locations is generally permissible. DataFlirt extracts only public information and does not bypass authentication for trade-only portals. Clients should review Terms of Service and consult legal counsel regarding the use of copyrighted 3D assets and imagery.
We extract the direct URLs to the DWG, OBJ, and 3D PDF files provided on the technical specification pages. We deliver the links, allowing your systems to download the assets directly.
We use a parent-child schema. The main product (e.g., Groundpiece Sofa) acts as the parent, and every individual module (armrests, corner units, seating segments) is extracted as a child record with its specific dimensions and material options.
Yes. We can configure the pipeline to target specific locales (e.g., en-gb, it-it) ensuring that descriptions, material names, and technical terms are extracted in your required language.
For luxury furniture catalogues, a monthly or quarterly run is typically sufficient to capture new collection launches at Salone del Mobile and routine catalogue updates. We can configure the schedule to match your ingestion needs.
Yes. We provide a sample dataset of a specific collection (e.g., 50 products with all variants and asset links) during the scoping phase to ensure our schema matches your internal data models.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off extraction of technical dimensions or a scheduled sync of material finishes and 3D assets — we build the infrastructure. Tell us your requirements.
