We extract luminaire specifications, photometric data, finish variants, and designer profiles from Artemide. 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 Listings objects from artemide.com. All fields typed and schema-versioned.
"sku": "A004430", "family": "Tolomeo", "title": "Tolomeo Micro Table", "designer": "Michele De Lucchi, Giancarlo Fassina", "category": "Table", "environment": "Indoor", "emission": "Direct"
| # | sku | family | title | designer | year_designed | category |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Technical Specs objects from artemide.com. All fields typed and schema-versioned.
"sku": "A004430", "power_w": 5.0, "flux_lm": 250, "cct_k": 3000, "cri": 90, "dimmable": true, "ip_rating": "IP20"
| # | sku | power_w | flux_lm | cct_k | cri | dimmable |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Variants & Finishes objects from artemide.com. All fields typed and schema-versioned.
"base_sku": "A0044", "variant_sku": "A004430", "color_name": "Aluminium", "finish_type": "Anodized", "material": "Aluminium, Steel", "price": 320.0, "currency": "EUR"
| # | base_sku | variant_sku | color_name | finish_type | material | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Designers objects from artemide.com. All fields typed and schema-versioned.
"designer_name": "Michele De Lucchi", "profile_url": "https://www.artemide.com/en/company/designers/michele-de-lucchi", "awards": "["Compasso d'Oro"]", "active_years": "1980-Present", "product_count": 42, "image_url": "https://www.artemide.com/media/designers/mdl.jpg"
| # | designer_name | profile_url | biography | awards | collaborations | active_years |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Assets & Documents objects from artemide.com. All fields typed and schema-versioned.
"sku": "A004430", "image_urls": "['img1.jpg', 'img2.jpg']", "cad_3d_url": "https://www.artemide.com/assets/3d/A004430.dwg", "revit_bim_url": "https://www.artemide.com/assets/bim/A004430.rfa", "spec_sheet_pdf": "https://www.artemide.com/assets/pdf/spec_A004430.pdf", "energy_label_pdf": "https://www.artemide.com/assets/pdf/energy_A004430.pdf"
| # | sku | image_urls | cad_2d_url | cad_3d_url | revit_bim_url | spec_sheet_pdf |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Artemide scraper captures every technical specification, product variant, and downloadable asset. We navigate the complex product matrices to deliver structured data for lighting designers and distributors.
Extract product titles, families, designer attributions, categories, and environmental suitability ratings across the entire catalogue.
Capture wattage, lumen output, CCT, CRI, IP ratings, and dimming protocols directly from product specification tables.
Map complex parent-child relationships for luminaires available in multiple colours, finishes, and mounting options.
Extract direct URLs for 2D CAD files, 3D models, Revit BIM objects, and photometric data files (IES/LDT).
Capture links for specification sheets, assembly instructions, and energy labels associated with each specific SKU.
Extract biographies, awards, and associated product lists for Artemide's roster of international architects and designers.
Scrape catalogue availability and specifications across different Artemide regional sites to track market-specific offerings.
Monitor retail pricing across regions where Artemide publishes direct-to-consumer prices.
Run recurring pipelines to detect new product launches, discontinued SKUs, and updated technical specifications.
Brief in. Clean data out.
Provide target product families, regions, or specific data points like BIM assets. We design the schema.
We configure crawlers to navigate Artemide's variant matrices and extract nested technical specifications.
Schema validation, unit normalisation, and asset link verification before full pipeline deployment.
JSON, CSV, or Parquet pushed to your S3 bucket or warehouse on your defined schedule.
Extracting architectural lighting data requires parsing complex variant trees and unstructured technical documents. Here is how our infrastructure manages it.
A single Artemide product family like Tolomeo contains hundreds of SKUs based on size, finish, and mounting type. Our crawlers iterate through every valid combination in the frontend configurator to extract unique SKUs and their specific parameters.
Technical specifications are often presented inconsistently across older and newer product lines. We parse and normalise strings to extract clean numerical values for wattage, lumens, and colour temperatures.
Artemide hosts thousands of technical documents. Our pipeline extracts the direct download links for BIM, CAD, and PDF assets, verifying the endpoints to ensure your database contains functional references.
Product availability and specifications (like voltage and certification) vary by region. We route requests through region-specific proxies and maintain separate session states to capture accurate localised data.
We hash the technical specifications and asset links for each SKU. Subsequent crawls only flag products with altered data, making it simple to keep your internal distributor catalogue synchronised.
Integrate Artemide photometric data and 3D models directly into architectural lighting simulation tools.
Lighting distributors automate the synchronisation of Artemide SKUs, specifications, and imagery into their ERP and e-commerce platforms.
Rival manufacturers track Artemide's product launches, technical advancements, and pricing strategies across regions.
Material and product databases index Artemide's technical data to allow architects to filter luminaires by precise criteria.
Retailers monitor Artemide's direct-to-consumer pricing to ensure their own pricing strategies remain competitive.
Design analysts track material usage, finish popularity, and designer collaborations across the Artemide portfolio.
"Artemide defines modern architectural lighting, but compiling their photometric data and variant matrices manually breaks distributor workflows."
Extracting spec-grade lighting data requires parsing complex variant trees, capturing photometric metadata, and mapping 3D assets. DataFlirt automates this extraction layer so your procurement and design tools stay synchronised with the manufacturer catalogue without manual data entry.
Everything supported by our artemide.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 the broad catalogue crawl while Playwright executes the JavaScript necessary to interact with Artemide's product variant configurators.
Region-specific proxy pools ensure we capture accurate localised pricing and product availability without triggering rate limits.
Airflow schedules recurring catalogue syncs, running on AWS infrastructure to ensure reliable delivery of large asset datasets.
Data delivered to where your team already works — no new tooling required.
About artemide.com scraping, legality, and pipeline operations.
Ask us directly →Yes. Our crawlers interact with the product configurator to identify and extract data for every valid combination of size, colour, mounting type, and light source.
By default, we extract the direct download URLs for these assets. If your use case requires it, we can configure the pipeline to download the files and push them directly to your S3 bucket.
We use region-specific proxy IPs to access the localised versions of artemide.com. This ensures we capture the correct regional pricing, voltage specifications, and availability.
Yes. By running recurring pipelines, we compare the current catalogue against previous runs to identify products that have been removed or marked as discontinued.
We parse the specification tables to extract clean numerical values and standardise units. For example, '3000K' is stored as the integer 3000 in the cct_k field.
For full catalogue extractions, we typically recommend weekly or monthly runs. If you need to monitor specific high-priority SKUs for changes, we can configure daily pipelines.
We extract the links to the PDFs. If you require text extraction from within the PDFs, we can implement custom parsing logic as part of the pipeline build.
20-minute scoping call. Pilot dataset within the week. Production within two. Stop manually updating your lighting catalogue. Tell us which product families and data points you need, and we will build the pipeline.
