We extract lighting collections, technical specifications, finishes, and dealer networks from Hinkley. 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 hinkley.com. All fields typed and schema-versioned.
"sku": "3204HB", "name": "Congress Four Light Chandelier", "collection": "Congress", "category": "Indoor Lighting", "sub_category": "Chandeliers", "finish": "Heritage Brass", "style": "Transitional", "msrp": 499.0
| # | sku | name | collection | category | sub_category | finish |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Technical Details objects from hinkley.com. All fields typed and schema-versioned.
"sku": "3204HB", "voltage": "120v", "bulb_type": "Medium Base", "max_wattage": "100w", "dimmable": true, "safety_rating": "C-US Dry Rated", "dark_sky_compliant": false
| # | sku | voltage | bulb_type | max_wattage | lumens | colour_temperature |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Dimensions & Mounting objects from hinkley.com. All fields typed and schema-versioned.
"sku": "3204HB", "width": "26.00 in", "height": "18.50 in", "weight": "11.00 lbs", "canopy_dimensions": "5.00 in Dia", "chain_length": "120.00 in", "wire_length": "144.00 in", "sloped_ceiling_compatible": true
| # | sku | width | height | depth | weight | canopy_dimensions |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Variants & Assets objects from hinkley.com. All fields typed and schema-versioned.
"sku": "3204HB", "primary_image_url": "https://hinkley.com/images/3204hb_primary.jpg", "spec_sheet_url": "https://hinkley.com/specs/3204hb.pdf", "variant_skus": "['3204CM', '3204KZ']", "finish_options": "['Heritage Brass', 'Chrome', 'Buckeye Bronze']", "upc": "640665320421", "warranty_info": "15 Year Finish"
| # | sku | primary_image_url | gallery_urls | spec_sheet_url | instruction_pdf_url | variant_skus |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Dealer Network objects from hinkley.com. All fields typed and schema-versioned.
"dealer_id": "DLR-8492", "name": "Lamps Plus - Los Angeles", "address": "200 S La Cienega Blvd", "city": "Los Angeles", "state": "CA", "zip_code": "90048", "phone": "310-555-0199", "dealer_type": "Showroom"
| # | dealer_id | name | address | city | state | zip_code |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our infrastructure parses complex lighting specifications, nested collections, PDF data sheets, and dealer networks directly from Hinkley. Delivered as structured data ready for your PIM or database.
Capture every lighting fixture, ceiling fan, and accessory across all collections. Includes name, category, finish, and MSRP.
Extract accurate measurements for width, height, extension, weight, canopy size, and included chain/wire lengths.
Standardise bulb requirements, voltage, maximum wattage, lumen output, colour temperature, and CRI metrics.
Map parent products to child SKUs across different finishes (e.g., Heritage Brass vs. Chrome) to maintain catalogue integrity.
Extract and store URLs for specification sheets, installation instructions, and warranty documents associated with each SKU.
Scrape primary product images, lifestyle gallery photos, and dimension diagrams in maximum available resolution.
Extract the complete dealer network including showroom names, addresses, phone numbers, and geographical coordinates.
Capture UL/CSA ratings, damp/wet location suitability, and Dark Sky compliance flags for outdoor fixtures.
Schedule pipelines to run daily or weekly to detect new product launches, discontinued items, and MSRP changes.
Brief in. Clean data out.
Specify the categories, collections, or dealer regions required. We design the extraction schema together.
We configure Playwright crawlers, proxy rotation, and PDF parsing logic specifically for Hinkley's architecture.
Schema validation, null-rate checks, and dimension standardisation before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Lighting catalogues contain deeply nested technical specifications and unstructured PDF documents. Here is how we build resilient extraction pipelines.
Hinkley often displays multiple finishes on a single product page. Our pipeline interacts with the front-end selection widgets via Playwright to extract the distinct SKU, imagery, and pricing associated with each specific finish.
Lighting dimensions are often mixed with fractions and varying units. We parse and normalise width, height, and weight into standard decimal formats. Electrical specifications like voltage and wattage are separated into distinct, queryable fields.
We capture direct URLs for high-resolution images and PDF specification sheets. This ensures your PIM or e-commerce platform has access to the primary assets required for merchandising without manual downloading.
Hinkley's dealer locator relies on map APIs and location-based queries. We script systematic coordinate grids to query the backend API, extracting the complete network of authorised showrooms and distributors.
For ongoing pipelines, we maintain a state file of all known SKUs. Subsequent runs highlight new product additions, discontinued items, and modifications to technical specifications or MSRP.
Lighting distributors automatically populate their Product Information Management systems with accurate Hinkley specifications and assets.
Lighting manufacturers monitor Hinkley's new collection launches, finish trends, and MSRP adjustments to inform product strategy.
Design software and 3D rendering platforms ingest dimensions and finish options to build accurate digital models for spatial planning.
Analysts track the expansion of outdoor lighting lines and smart-home compatible fixtures to gauge industry trends.
Sales teams extract showroom locations to identify distribution gaps and target potential retail partners.
Retailers monitor Hinkley's published MSRP to ensure their own pricing strategies remain aligned with manufacturer guidelines.
"Hinkley publishes detailed technical specifications and finish options, but turning PDF spec sheets and nested variants into a queryable database requires dedicated infrastructure."
Extracting lighting data involves more than parsing HTML. It requires downloading and indexing PDF instruction sheets, mapping complex parent-child variant relationships across multiple finishes, and structuring technical metrics like lumen output and colour temperature. DataFlirt handles the extraction, transformation, and delivery so your engineering team can focus on integrating the data.
Everything supported by our hinkley.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 manages crawl orchestration and deduplication. Playwright handles JavaScript rendering to interact with dynamic finish selectors and load high-resolution image galleries.
We utilise US-based residential ISP proxies to route requests, ensuring high success rates when querying the dealer locator API and scraping the catalogue at volume.
Pipelines run on AWS Lambda and ECS. Apache Airflow handles scheduling and dependency management, ensuring data is extracted and delivered on your exact cadence.
Data delivered to where your team already works — no new tooling required.
About hinkley.com scraping, legality, and pipeline operations.
Ask us directly →Yes. Our pipeline interacts with the product page to load every available finish option, capturing the specific SKU, imagery, and MSRP associated with that exact variant.
We extract the direct URLs to the PDF specification sheets and installation instructions. If required, we can configure a secondary pipeline to download the actual PDF files to your S3 bucket.
We parse the unstructured text strings (e.g., '18.50 in') into structured, typed data fields. This ensures that dimensions, weight, voltage, and wattage are ready for immediate database ingestion.
Yes. We systematically query the dealer locator API to extract the full list of authorised showrooms, distributors, and online retailers, including their contact details and geographic coordinates.
Most clients opt for weekly or monthly runs to catch new collection launches and discontinued items. We can configure the pipeline frequency to match your specific requirements.
No. Wholesale pricing and real-time inventory are gated behind Hinkley's authenticated B2B portal. We only extract publicly available data such as MSRP and public technical specifications.
20-minute scoping call. Pilot dataset within the week. Production within two. Stop manually copying dimensions and downloading PDFs. We build and maintain the pipeline to deliver the complete Hinkley catalogue directly to your database.
