We extract designer lighting catalogues, finish permutations, technical specifications, and tear sheets. 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 Base objects from visualcomfort.com. All fields typed and schema-versioned.
"base_sku": "KW5012", "title": "Cleo Pendant", "designer": "Kelly Wearstler", "category": "Ceiling", "sub_category": "Pendants", "base_price": 849.0, "currency": "USD", "collection_name": "Cleo"
| # | base_sku | title | designer | category | sub_category | base_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Technical Specs objects from visualcomfort.com. All fields typed and schema-versioned.
"base_sku": "KW5012", "overall_height": "42.5 inches", "fixture_width": "18.0 inches", "canopy_dimensions": "4.5 inches Round", "wiring_type": "Hardwired", "socket_type": "E26 Medium Base", "bulb_qty": 1, "max_wattage": "60W"
| # | base_sku | overall_height | fixture_width | canopy_dimensions | wiring_type | socket_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Variants & Finishes objects from visualcomfort.com. All fields typed and schema-versioned.
"base_sku": "KW5012", "variant_sku": "KW5012AB-WHT", "finish_name": "Antique Brass", "shade_material": "White Glass", "variant_price": 849.0, "in_stock": true, "lead_time_weeks": 2, "stock_status": "In Stock"
| # | base_sku | variant_sku | finish_name | shade_material | variant_price | in_stock |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Media & Assets objects from visualcomfort.com. All fields typed and schema-versioned.
"variant_sku": "KW5012AB-WHT", "primary_image_url": "https://visualcomfort.com/media/catalog/product/k/w/kw5012ab.jpg", "gallery_image_urls": "['https://visualcomfort.com/media/catalog/product/k/w/kw5012ab_alt1.jpg']", "tear_sheet_pdf": "https://visualcomfort.com/tear-sheet/KW5012AB-WHT.pdf", "assembly_instructions_pdf": "https://visualcomfort.com/instructions/KW5012.pdf", "cad_model_url": "None"
| # | variant_sku | primary_image_url | gallery_image_urls | tear_sheet_pdf | assembly_instructions_pdf | lifestyle_image_urls |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Taxonomy objects from visualcomfort.com. All fields typed and schema-versioned.
"base_sku": "KW5012", "url": "https://www.visualcomfort.com/cleo-pendant-kw5012", "breadcrumbs": "Home > Ceiling > Pendants", "room_type": "['Dining Room', 'Kitchen']", "style": "Modern", "designer_slug": "kelly-wearstler", "related_skus": "['KW5013', 'KW5014']"
| # | base_sku | url | breadcrumbs | room_type | style | designer_slug |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Visual Comfort scraper extracts complex fixture data: finish permutations, technical dimensions, designer attributions, and tear sheet assets, using JavaScript execution to reveal hidden DOM elements.
Extract base SKUs, product titles, designer names, collection families, and base pricing across all lighting categories.
Iterate through JavaScript driven finish selectors to capture exact variant SKUs, finish names, and variant specific pricing.
Capture overall height, fixture width, canopy dimensions, wiring type, socket type, bulb quantities, and UL listing statuses.
Extract direct URLs for PDF tear sheets, assembly instructions, and CAD models associated with each specific fixture.
Map fixtures to specific designers like Kelly Wearstler, Thomas O'Brien, and Ralph Lauren Home for accurate taxonomy.
Monitor stock availability flags and estimated lead time weeks for specific finish variants.
Reconstruct the exact site taxonomy, capturing breadcrumb trails, room type tags, and style classifications.
Extract primary product images, gallery shots, and lifestyle context images at maximum resolution.
Run continuous pipelines to detect new collection launches, discontinued SKUs, and retail price adjustments.
Brief in. Clean data out.
Provide categories, designer names, or specific collections. We design the extraction schema together.
We configure Playwright crawlers, proxy rotation, and interaction logic to iterate through finish variants.
Schema validation, null-rate checks on technical specs, and tear sheet URL verification before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting designer lighting data requires handling JavaScript heavy product pages and complex variant structures. Here is how we maintain data integrity.
Visual Comfort loads finish variants and their specific SKUs dynamically. We use Playwright to simulate clicks on every finish and shade combination, capturing the resulting variant SKU, price change, and updated image URL.
Tear sheets and assembly instructions are often buried in dynamic accordions or generated on the fly. Our crawlers trigger the necessary DOM events to expose and capture the static PDF URLs for every product.
High volume scraping of image heavy catalogues triggers standard bot protections. We route requests through US residential proxies with realistic browser headers to maintain uninterrupted access.
Technical specifications often mix fractions, decimals, and text descriptions. We extract the raw strings and apply parsing logic to normalise dimensions into queryable numeric fields where required.
We maintain a hash index of last seen values for the entire catalogue. Subsequent runs only push diffs, highlighting new designer collections, price updates, or discontinued fixtures.
Design firms ingest complete catalogues to build internal specification tools, filtering by exact dimensions, designer, and finish.
Lighting retailers monitor Visual Comfort retail pricing and variant upcharges to benchmark their own premium collections.
Authorised dealers sync product data, high resolution images, and tear sheets directly into their Shopify or Magento stores.
Architecture firms aggregate technical data, including canopy dimensions and UL listings, to ensure compliance in commercial builds.
Market analysts track new collection launches and category expansion by top designers like Kelly Wearstler and AERIN.
Procurement teams monitor lead time shifts across different material finishes to anticipate supply chain bottlenecks.
"Visual Comfort holds the definitive catalogue for high-end decorative lighting, but extracting exact technical dimensions and variant SKUs requires rendering every finish permutation."
Scraping designer lighting sites involves more than pulling titles and prices. Visual Comfort relies heavily on JavaScript for finish selection, tear sheet generation, and technical specification reveals. DataFlirt handles the browser automation and proxy rotation required to extract complete, normalised fixture data without triggering bot mitigation blocks.
Everything supported by our visualcomfort.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 finish variant iteration. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across US regions. Rotation happens per request with sticky sessions required for iterating through complex product pages.
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 visualcomfort.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Visual Comfort is generally permissible under applicable law. DataFlirt targets only public, non-authenticated product, pricing, and specification data. We do not extract personal data or circumvent authentication walls for trade accounts. Clients should review applicable ToS and consult legal counsel.
Visual Comfort uses JavaScript to load specific SKUs and prices when a finish swatch is clicked. We use Playwright to simulate these interactions, capturing the exact variant SKU, updated price, and finish name for every permutation on a product page.
Yes. We capture the direct URLs for PDF tear sheets and assembly instructions associated with each fixture. You receive the URLs in the structured data output, which your systems can then download as needed.
No. Trade pricing on Visual Comfort requires an authenticated trade account. We only extract the publicly visible retail pricing data available to unauthenticated users.
Full catalogue refreshes typically run on a weekly or bi-weekly cadence to capture new collections and price adjustments. We can configure daily runs for specific high priority categories if required.
We extract the raw text provided in the technical specifications tab (e.g., '42.5 inches'). While we provide the raw string, we can apply custom parsing logic to split these into numeric fields during the pipeline build if your schema requires it.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue extraction or continuous tracking of new designer collections, we build and operate the pipeline. Tell us your requirements.
