We extract product specifications, finishes, designer collections, installation guides, and pricing signals from Generation Lighting. 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 Specifications objects from generationlighting.com. All fields typed and schema-versioned.
"sku": "EC1009BBS", "product_name": "Brianna 9-Light Chandelier", "designer": "Thomas O'Brien", "collection": "Brianna", "finish": "Burnished Brass", "height_inches": 24.5, "width_inches": 30.0, "safety_rating": "Damp"
| # | sku | product_name | designer | collection | finish | material |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Availability objects from generationlighting.com. All fields typed and schema-versioned.
"sku": "EC1009BBS", "msrp": 1249.0, "map_price": 1049.0, "stock_status": "In Stock", "discontinued": false, "currency": "USD"
| # | sku | msrp | map_price | stock_status | lead_time_days | discontinued |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Documents & Assets objects from generationlighting.com. All fields typed and schema-versioned.
"sku": "EC1009BBS", "primary_image_url": "https://generationlighting.com/images/EC1009BBS.jpg", "spec_sheet_pdf": "https://generationlighting.com/downloads/specs/EC1009BBS.pdf", "install_guide_pdf": "https://generationlighting.com/downloads/install/EC1009BBS_install.pdf", "cad_model_url": "None", "photometric_ies": "None"
| # | sku | primary_image_url | gallery_urls | spec_sheet_pdf | install_guide_pdf | energy_guide_pdf |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Designer Collections objects from generationlighting.com. All fields typed and schema-versioned.
"collection_name": "Brianna", "designer_name": "Thomas O'Brien", "style_category": "Traditional", "total_skus": 14, "launch_year": 2021, "description": "Graceful, seamless curvature and elongated tubular arms lend fluidity and modern appeal to this classic minimalist silhouette."
| # | collection_id | collection_name | designer_name | style_category | total_skus | launch_year |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Technical Details objects from generationlighting.com. All fields typed and schema-versioned.
"sku": "EC1009BBS", "voltage": 120, "wire_length_inches": 180, "chain_length_inches": 60, "sloped_ceiling_compatible": true, "dimmable": true, "bulb_type": "Candelabra Torpedo"
| # | sku | voltage | wire_length_inches | chain_length_inches | sloped_ceiling_compatible | dimmable |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our scraper navigates Generation Lighting's complex product taxonomy, extracting variant finishes, dimensional data, electrical specifications, and PDF assets into a clean, unified schema.
Extract every fixture, fan, and accessory across all Generation Lighting brands, including Visual Comfort Studio and Monte Carlo.
Map parent products to child SKUs across multiple finish options, capturing specific imagery and pricing for each variant.
Extract direct URLs for specification sheets, installation guides, and energy guides associated with each SKU.
Standardise height, width, extension, and canopy dimensions into structured numerical fields for easy database ingestion.
Capture voltage, bulb base types, maximum wattage, dimming compatibility, and CRI/lumen data for LED fixtures.
Monitor MSRP and Minimum Advertised Price (MAP) across the catalogue to ensure retail compliance.
Extract high-resolution primary images, lifestyle gallery imagery, and 3D CAD model URLs where available.
Group SKUs by designer (e.g., Kelly Wearstler, Alexa Hampton) and collection name to maintain catalogue hierarchy.
Track stock status and flag discontinued or retired SKUs, including replacement SKU mapping when provided.
Brief in. Clean data out.
Provide specific collections, designer names, or target the entire generationlighting.com catalogue. We define the schema.
We configure Playwright crawlers to navigate the site, handle variant selectors, and extract nested technical specifications.
Schema validation ensures dimensions are numerical, finish names match the taxonomy, and PDF URLs resolve correctly.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Lighting catalogues feature deeply nested variants and unstructured technical data. Here is how we build reliable pipelines for Generation Lighting.
Lighting fixtures often share a base design but vary by finish (e.g., Burnished Brass vs. Polished Nickel). Our crawlers interact with frontend selectors to expand these variants, ensuring each unique SKU gets its own structured record with accurate imagery and pricing.
Specifiers rely on tear sheets and installation guides. We extract direct, unexpiring URLs for all associated PDFs and high-resolution images, tying them directly to the correct variant SKU.
Technical specifications are often presented as unstructured lists. We parse strings like 'Max Wattage: 60w Candelabra' into discrete database columns (max_wattage: 60, bulb_type: Candelabra) for downstream querying.
For large product catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs — reducing compute cost, storage bloat, and downstream processing load.
Modern B2B portals use JavaScript to load pricing, stock status, and related collections. We use Playwright to fully render the DOM, capturing data that headless HTTP clients miss entirely.
Lighting retailers and showrooms ingest catalogue data to automatically populate their own storefronts with accurate specs and imagery.
Brands and distributors track advertised pricing across the web, using the source-of-truth catalogue to audit third-party sellers.
Specifier platforms and design software providers populate their material libraries with accurate dimensions and 3D assets.
Competing lighting manufacturers track Generation Lighting's collection launches, price points, and designer collaborations.
Distributors monitor discontinuation flags and lead times to adjust their own inventory procurement models.
Architecture firms aggregate photometric data and CAD models to build accurate lighting plans in Revit or AutoCAD.
"Generation Lighting's catalogue dictates residential lighting trends, but extracting their nested technical specs and PDF assets requires a purpose-built pipeline."
Lighting data is notoriously unstructured. We build extraction pipelines that parse technical specifications, normalise dimensional data, extract high-resolution assets, and map complex finish variants across the entire Generation Lighting portfolio. You get clean, queryable data without managing crawlers.
Everything supported by our generationlighting.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 variant selector interaction.
We maintain pools of US residential ISP proxies to avoid rate limits and WAF blocks while crawling the complete catalogue.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting.
Data delivered to where your team already works — no new tooling required.
About generationlighting.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available product information is generally permissible. DataFlirt targets only public, non-authenticated catalogue data, specifications, and retail pricing. We do not circumvent dealer authentication walls or extract proprietary wholesale data. Clients should consult legal counsel for specific use cases.
Our Playwright crawlers interact with the frontend finish selectors, triggering the DOM updates required to extract the specific SKU, imagery, and pricing for each individual finish variant.
Yes. We capture the direct, unexpiring URLs for all associated documents (spec sheets, install guides, energy guides) and map them to the corresponding SKU.
Yes. We parse unstructured text (e.g., 'Height: 24.5 in') into discrete numeric columns (height_inches: 24.5) to ensure the data is immediately queryable in your database.
No. Wholesale pricing tiers and exact warehouse inventory levels are gated behind the Generation Lighting dealer portal. We only extract publicly visible MSRP, MAP, and general stock availability.
Catalogue refreshes typically run weekly or monthly depending on your requirements. We can configure daily runs for specific subsets if you are monitoring MAP compliance or stock status.
Our smallest packages start at a defined subset of collections with monthly delivery. For full-catalogue extraction or custom schema requirements, we price based on volume and delivery frequency.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue dump or continuous specification syncing across the Generation Lighting portfolio — we scope, build, and operate the pipeline.
