We extract designer lighting collections, technical specifications, IES files, and material data from Foscarini. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake 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 Metadata objects from foscarini.com. All fields typed and schema-versioned.
"sku": "FN163007", "name": "Twiggy", "collection": "Twiggy", "designer": "Marc Sadler", "design_year": 2006, "category": "Floor Lamps", "sub_category": "Arc Floor Lamps", "materials": "['Compound material on lacquered glass fibre base', 'PMMA', 'polycarbonate', 'coated metal']", "colours": "['Crimson', 'Greige', 'Black', 'White']"
| # | sku | name | collection | designer | design_year | category |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Technical Specifications objects from foscarini.com. All fields typed and schema-versioned.
"sku": "FN163007", "voltage": "220/240V", "light_source": "LED included 28W", "lumens": 3840, "kelvin": 2700, "cri": 90, "dimmable": true, "energy_class": "E", "ip_rating": "IP20"
| # | sku | voltage | light_source | lumens | kelvin | cri |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Dimensions & Weight objects from foscarini.com. All fields typed and schema-versioned.
"sku": "FN163007", "width_cm": 170.0, "height_cm": 215.0, "depth_cm": 60.0, "cable_length_cm": 330.0, "net_weight_kg": 16.6, "gross_weight_kg": 21.2, "packaging_dims": "180x70x20 cm", "canopy_dims": "N/A"
| # | sku | width_cm | height_cm | depth_cm | cable_length_cm | net_weight_kg |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Assets & Files objects from foscarini.com. All fields typed and schema-versioned.
"sku": "FN163007", "image_urls": "['https://foscarini.com/media/twiggy-floor-1.jpg']", "lifestyle_images": "['https://foscarini.com/media/twiggy-ambient.jpg']", "assembly_pdf": "https://foscarini.com/docs/twiggy-assembly.pdf", "3d_model_url": "https://foscarini.com/models/twiggy-3d.dwg", "ies_file_url": "https://foscarini.com/photometric/twiggy.ies", "ldt_file_url": "https://foscarini.com/photometric/twiggy.ldt", "energy_label_pdf": "https://foscarini.com/docs/twiggy-energy.pdf"
| # | sku | image_urls | lifestyle_images | assembly_pdf | 3d_model_url | cad_2d_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Dealer & Store Locator objects from foscarini.com. All fields typed and schema-versioned.
"store_id": "DLR-8421", "store_name": "Lumina Milano", "store_type": "Authorised Dealer", "address": "Via della Moscova, 22", "city": "Milan", "country": "Italy", "postal_code": "20121", "phone": "+39 02 1234567"
| # | store_id | store_name | store_type | address | city | country |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Foscarini scraper handles complex product configurators, photometric file extraction, and multi-region technical specifications — with JavaScript rendering and session management built in.
Extract product names, designer attributions, design years, and full marketing descriptions across all lighting categories.
Capture voltage, light source type, lumens, Kelvin, CRI, IP ratings, and dimming protocols for every fixture.
Extract precise physical dimensions, net weights, gross weights, and cable lengths for integration into architectural software.
Map every available colour, finish, and material compound to its specific variant SKU.
Locate and extract direct URLs for IES and LDT photometric files required for professional lighting simulation.
Extract links to 2D DWG, 3D DWG, and BIM objects for every product family.
Scrape URLs for assembly instructions, energy labels, and technical specification PDFs.
Extract the entire global network of authorised dealers, flagship stores, and service centres.
Run continuous pipelines to track catalogue additions, discontinued models, and updated technical sheets.
Brief in. Clean data out.
Provide specific collections, categories, or regions. We design the extraction schema together.
We configure Scrapy / Playwright crawlers to handle Foscarini's product configurators and file download endpoints.
Schema validation, null-rate checks, and photometric file availability testing before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Foscarini's site relies heavily on dynamic product configurators and hidden asset links. Here is how we extract structured data from it.
Foscarini uses JavaScript-heavy product configurators to display specific SKUs based on colour, size, and light source selections. We run full Playwright browser sessions to cycle through these options and extract unique technical specs for every variant.
Architectural assets like IES files and 3D models are often gated behind download managers or dynamic menus. Our pipeline traces network requests to capture direct download URLs for all technical assets associated with a product.
Lighting specifications (e.g., 120V vs 220/240V, UL vs CE certification) change based on the user's location. We route requests through region-specific residential proxies to capture the correct localised technical data.
When critical dimensions or photometric data are only available inside PDF specification sheets, we deploy automated PDF parsing to structure this data into your final JSON payload.
We utilise multi-layer fallback selectors to ensure that seasonal catalogue updates or website redesigns do not break your data pipeline.
B2B material libraries and specification platforms aggregate Foscarini's catalogue to provide architects with up-to-date BIM and CAD objects.
Lighting designers extract IES and LDT files at scale to import into Dialux or Relux for photometric calculations.
Rival lighting manufacturers monitor Foscarini's material choices, light source technologies (CRI/Kelvin), and product dimensions.
Authorised retailers sync technical specifications and lifestyle imagery to keep their own product pages accurate.
Market analysts track Foscarini's retail footprint by extracting store locator data across different geographies.
Interior design analysts track the introduction of new materials, colours, and designer collaborations over time.
"Foscarini represents the pinnacle of Italian lighting design, but integrating their photometric and CAD data requires a purpose-built extraction pipeline."
Extracting technical lighting data requires handling complex PDF spec sheets, rendering WebGL configurators, and mapping IES files to specific product variants. DataFlirt manages the extraction infrastructure so your engineering team can focus on building your lighting platform.
Everything supported by our foscarini.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, cookie sessions, and interaction flows for product configurators.
We maintain pools of residential ISP proxies across EU and US regions. Rotation happens per-request to capture localised technical specifications.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About foscarini.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available product information, specifications, and dealer locations from Foscarini is generally permissible. DataFlirt targets only public, non-authenticated data. We do not circumvent authentication walls to access B2B portals. Clients should review Foscarini's ToS and consult legal counsel for specific use cases.
We use Playwright to simulate user interactions, clicking through every combination of colour, size, and light source to extract the unique SKU and technical specifications for each variant.
Our standard pipeline extracts the direct URLs to these assets. We can optionally configure the pipeline to download the files directly to your S3 bucket.
We route traffic through residential proxies located in your target region (e.g., US for 120V specs, EU for 220/240V specs) to ensure the extracted data matches your market requirements.
For a catalogue of this size, we typically run weekly or monthly full refreshes. Daily diff-checks can be configured for specific collections.
Our minimum engagement covers the entire public Foscarini catalogue delivered on a weekly schedule. Contact us with your specific schema requirements for a scoped quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue dump or continuous technical specification monitoring — we scope, build, and operate the pipeline. Tell us what you need.
