We extract technical lighting data, finishes, designer profiles, and photometric assets from Luceplan. 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 Families objects from luceplan.com. All fields typed and schema-versioned.
"name": "Costanza", "designer": "Paolo Rizzatto", "year_designed": 1986, "category": "Floor", "environment": "Indoor", "base_materials": "Aluminium"
| # | family_id | name | description | designer | year_designed | category |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Technical Specifications objects from luceplan.com. All fields typed and schema-versioned.
"sku": "D13i", "light_source": "LED", "wattage": "18W", "cct_kelvin": 2700, "cri": 90, "dimming_protocol": "DALI"
| # | sku | family | light_source | wattage | cct_kelvin | cri |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Variants & Finishes objects from luceplan.com. All fields typed and schema-versioned.
"sku": "D13i.alu", "structure_finish": "Aluminium", "diffuser_colour": "White", "dimensions_mm": "400x400x1530", "weight_kg": 3.5, "currency": "EUR"
| # | sku | parent_family | structure_finish | diffuser_colour | cable_length_mm | dimensions_mm |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Photometric & CAD Assets objects from luceplan.com. All fields typed and schema-versioned.
"sku": "D13i", "beam_angle": 120, "light_distribution": "Diffused", "ies_file_url": "https://luceplan.com/assets/costanza.ies", "revit_url": "https://luceplan.com/assets/costanza.rfa", "assembly_pdf_url": "https://luceplan.com/assets/assembly.pdf"
| # | sku | family | ies_file_url | ldt_file_url | beam_angle | light_distribution |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Designers objects from luceplan.com. All fields typed and schema-versioned.
"name": "Francisco Gomez Paz", "studio_location": "Milan", "collaborated_families": "['Mesh', 'Hope']", "awards": "["Compasso d'Oro"]", "profile_image_url": "https://luceplan.com/assets/paz.jpg", "scraped_at": "2026-05-12T09:14:00Z"
| # | designer_id | name | bio | studio_location | active_years | awards |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Luceplan scraper handles the complexity of designer lighting data. We capture multi-dimensional variants, photometric files, and technical specifications, converting unstructured web content into relational database records.
Extract categories, families, and individual SKUs. We map the hierarchy from high-level product lines down to specific finish variants.
Capture lumens, wattage, CCT, CRI, IP ratings, and dimming protocols. We normalise technical strings into queryable numeric fields.
Identify and extract URLs for IES and LDT files. We map these lighting data files directly to their corresponding SKUs.
Resolve complex configuration matrices. We capture structure finishes, diffuser colours, and dimension variations as distinct database rows.
Extract URLs for Revit families, AutoCAD DWGs, 3D models, and PDF assembly instructions for direct ingestion into BIM libraries.
Scrape metadata across Italian, English, and other supported languages. We maintain language-specific catalogues aligned to the same SKU.
Capture designer biographies, studio locations, and awards. We build relational links between designers and their product families.
Run continuous pipelines with hash-based diffing. We only emit records when finishes are added, specifications change, or products are discontinued.
Execute JavaScript to trigger dynamic product configurators. We capture the resulting metadata and imagery for every valid permutation.
Brief in. Clean data out.
Provide target product families or categories. We design the extraction schema together.
We configure Scrapy and Playwright crawlers to navigate Luceplan's configurators and asset libraries.
Schema validation, null-rate checks, and asset link verification before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting data from high-end design brands requires navigating visual configurators and unstructured technical documentation. Here is how we build the pipeline.
Luceplan uses dynamic front-end components to display product variants. We use Playwright to systematically select finishes, dimensions, and light sources, capturing the resulting SKU and technical metadata for every permutation.
Architectural lighting requires photometric and CAD files. Our pipeline identifies IES, LDT, DWG, and RFA files across the site, resolving relative paths and linking the absolute URLs directly to the parent SKU record.
Technical data often appears as unstructured text strings. We use regex and custom parsers to extract numeric values for wattage, lumens, and colour temperature, ensuring your database receives clean integers and floats.
We scrape the site across multiple language locales. Our pipeline aligns Italian and English descriptions to the same underlying SKU, allowing you to populate multi-region eCommerce platforms without manual translation.
Lighting catalogues change seasonally. We track HTTP response codes and catalogue presence over time, flagging SKUs that have been removed from the active site so you can update your internal inventory systems.
Lighting distributors automatically update their internal ERPs and eCommerce platforms with the latest Luceplan SKUs, finishes, and technical specifications.
Software providers aggregate IES and LDT files to populate their photometric databases for tools like Dialux and Relux.
Rival architectural lighting manufacturers track Luceplan's product launches, technical capabilities, and designer collaborations.
Marketplaces and specification platforms ingest Luceplan product data to offer comprehensive search filters for architects and designers.
Industry analysts track the adoption of specific dimming protocols, LED efficiencies, and material trends across high-end lighting brands.
Architecture firms automatically download and index Revit families and CAD files to maintain up-to-date internal BIM libraries.
"Architectural lighting data is highly dimensional. Extracting it requires mapping complex finish matrices to precise photometric files."
Manual data entry for lighting catalogues introduces errors in critical specifications like voltage, dimming protocols, and IP ratings. DataFlirt automates the extraction of Luceplan's entire technical database. We handle the JavaScript rendering, asset linking, and schema normalisation so your team receives clean, queryable records.
Everything supported by our luceplan.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 and interaction with product configurators.
Dedicated workers parse the DOM for technical file extensions, resolving relative paths and validating HTTP status codes before linking them to the database.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management. All state is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About luceplan.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information is generally permissible. DataFlirt targets only public, non-authenticated product data, technical specifications, and marketing assets. We do not extract personal data or circumvent authentication walls. Clients should consult legal counsel for specific use cases.
We use Playwright to execute JavaScript and simulate user interactions. Our scripts systematically iterate through all available finish and dimension options, capturing the updated technical data and imagery for each permutation.
By default, we extract and validate the absolute URLs for these assets, delivering them as string fields in your database. If required, we can configure a secondary pipeline to download the files directly to your S3 bucket.
Yes. We can configure the crawler to target specific locale directories on the Luceplan site, extracting Italian, English, or other language descriptions while maintaining a unified SKU identifier.
For architectural lighting catalogues, we typically recommend a weekly or monthly sync. The pipeline uses change detection to emit only new products, discontinued SKUs, or altered specifications.
We scope engagements based on the complexity of the configurators and the required asset pipelines. Contact us with your target data points for a specific quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue dump or a continuous sync for your distribution platform, we scope, build, and operate the pipeline. Tell us what you need.
