We extract product catalogues, technical specifications, finishes, pricing, and collection metadata from Hudson Valley 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 hudsonvalleylighting.com. All fields typed and schema-versioned.
"sku": "1234-AGB", "product_name": "Astor Chandelier", "brand": "Hudson Valley Lighting", "collection": "Astor", "category": "Chandeliers", "finish": "Aged Brass", "width": "24.00", "height": "18.50"
| # | sku | product_name | brand | collection | category | style |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Availability objects from hudsonvalleylighting.com. All fields typed and schema-versioned.
"sku": "1234-AGB", "retail_price": 850.0, "currency": "USD", "in_stock": true, "stock_status": "In Stock", "lead_time": "1-2 Weeks", "price_timestamp": "2026-05-12T09:14:00Z"
| # | sku | retail_price | trade_price | currency | in_stock | stock_status |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Assets & Documents objects from hudsonvalleylighting.com. All fields typed and schema-versioned.
"sku": "1234-AGB", "primary_image_url": "https://example.com/images/1234-AGB_main.jpg", "spec_sheet_url": "https://example.com/docs/1234-AGB_spec.pdf", "install_guide_url": "https://example.com/docs/1234-AGB_install.pdf", "gallery_image_urls": "['https://example.com/images/1234-AGB_alt1.jpg', 'https://example.com/images/1234-AGB_alt2.jpg']", "cad_file_url": "None"
| # | sku | primary_image_url | gallery_image_urls | spec_sheet_url | install_guide_url | cad_file_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Lamping & Electrical objects from hudsonvalleylighting.com. All fields typed and schema-versioned.
"sku": "1234-AGB", "bulb_type": "LED", "bulb_base": "E26 Medium", "wattage": "60W", "voltage": "120V", "dimmable": true, "ada_compliant": false
| # | sku | bulb_type | bulb_base | wattage | voltage | color_temperature |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Collection Metadata objects from hudsonvalleylighting.com. All fields typed and schema-versioned.
"collection_name": "Astor", "brand": "Hudson Valley Lighting", "designer": "In-House", "total_products": 12, "categories_included": "['Chandeliers', 'Sconces', 'Pendants']", "finishes_available": "['Aged Brass', 'Polished Nickel']"
| # | collection_id | collection_name | brand | designer | description | hero_image_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our scraper navigates the complex taxonomy of Hudson Valley Lighting, capturing detailed technical specifications, finish variants, and high-resolution assets while handling dynamic product configurations.
Capture exact dimensions, weight, UL ratings, and material specifications for every fixture, normalised across the entire catalogue.
Extract all available finishes for a base SKU, mapping parent-child relationships and capturing finish-specific imagery.
Parse bulb requirements, wattage limits, voltage, and dimmability specifications critical for electrical planning.
Scrape direct URLs for PDF spec sheets, installation guides, and IES files associated with each product.
Capture primary product shots, secondary angles, and lifestyle imagery at the highest available resolution.
Maintain the hierarchical structure of brands (Mitzi, Troy, Corbett) and collections for accurate categorisation.
Extract retail pricing and track changes over time. (Note: Trade pricing requires authenticated access).
Capture stock status and lead time estimates displayed on product pages.
Run continuous pipelines with hash-based diffing to detect new product launches, discontinued items, or spec updates.
Brief in. Clean data out.
Select specific brands, categories, or collections. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, handle pagination, and manage dynamic content rendering.
Schema validation, null-rate checks on critical specs, and variant mapping verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Lighting catalogues present unique data challenges: complex variant structures, technical specs buried in PDFs, and dynamic rendering. Here is how we handle it.
Lighting fixtures often have a base SKU with multiple finish options (e.g., Aged Brass, Polished Nickel). Our pipeline explodes these into discrete records, ensuring every finish variant has its own row with accurate pricing and imagery.
Technical specifications are often presented in unstructured formats or tabs. We use targeted selectors and regex patterns to extract and normalise dimensions (width, height, depth), lamping details, and electrical ratings into structured fields.
We extract direct links to high-resolution images, spec sheet PDFs, and installation guides. This ensures your downstream systems have access to the necessary assets without needing to host them immediately.
Hudson Valley Lighting Group encompasses multiple brands (Hudson Valley, Mitzi, Troy, Corbett). Our crawler respects this taxonomy, ensuring products are correctly attributed to their respective brand and collection.
Product configurators and inventory checks often rely on JavaScript. We utilise Playwright to fully render pages, interact with finish selectors, and capture the resulting data that headless HTTP clients miss.
Automate catalogue ingestion, ensuring accurate specs, finishes, and pricing are reflected in internal ERP and e-commerce systems.
Populate design software and specification tools with accurate product dimensions, lamping details, and 3D asset links.
Lighting manufacturers track pricing strategies, new collection launches, and material trends across competing brands.
Keep Product Information Management (PIM) systems updated with the latest manufacturer specifications and discontinued SKU alerts.
Analyse category saturation, popular finishes, and pricing tiers within the decorative lighting market.
Commercial builders and procurement teams aggregate specifications to verify UL ratings and ADA compliance for large projects.
"Accurate technical specifications are the lifeblood of the lighting industry. Without structured data, distributors and specifiers are left manually copying PDFs."
Extracting data from B2B lighting catalogues requires more than simple web scraping. It demands an understanding of variant structures, technical terminology, and complex taxonomies. DataFlirt builds pipelines that translate unstructured product pages into the rigorous schemas required by modern ERP and PIM systems.
Everything supported by our hudsonvalleylighting.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 for dynamic product configurators.
Domain-specific parsers normalise complex lighting specifications (lamping, dimensions, UL ratings) into structured formats.
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 hudsonvalleylighting.com scraping, legality, and pipeline operations.
Ask us directly →Yes. Our pipeline interacts with the product configurator to select each available finish, capturing the specific SKU, imagery, and pricing associated with that variant.
By default, we extract the direct URLs to the PDF spec sheets and installation guides. If you require the actual files downloaded and delivered to your S3 bucket, this can be configured.
The scraper navigates the entire hudsonvalleylighting.com domain, correctly attributing products to their respective brands (Hudson Valley Lighting, Mitzi, Troy Lighting, Corbett Lighting) based on the site's taxonomy.
Trade pricing and exact inventory counts are typically gated behind a dealer login portal. We do not circumvent authentication walls. We extract the publicly available retail pricing and stock status indicators.
For full catalogue extractions, we typically recommend weekly or monthly cadences to capture new releases and discontinued items. More frequent runs can be configured for specific categories if required.
Yes. We parse the unstructured dimension strings on the product pages and map them to structured width, height, and depth fields to facilitate easy ingestion into your PIM or ERP.
20-minute scoping call. Pilot dataset within the week. Production within two. Stop manually copying specifications. We scope, build, and operate the pipeline to deliver structured Hudson Valley Lighting data directly to your systems.
