We extract fixture specifications, bulb requirements, pricing signals, and stock availability from Destination 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 Specs objects from destinationlighting.com. All fields typed and schema-versioned.
"sku": "DL-847291", "title": "Industrial Bronze Pendant Light", "brand": "Kichler", "collection": "Braelyn", "finish": "Olde Bronze", "material": "Steel, Glass", "height_inches": 11.25, "width_inches": 5.0
| # | sku | title | brand | collection | finish | material |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Technical Lighting objects from destinationlighting.com. All fields typed and schema-versioned.
"sku": "DL-847291", "bulb_type": "Medium Base (E26)", "max_wattage": 60, "bulb_included": false, "voltage": 120, "dimmable": true, "ul_rating": "Dry Location", "dark_sky_compliant": false
| # | sku | bulb_type | max_wattage | bulb_included | voltage | colour_temperature |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Stock objects from destinationlighting.com. All fields typed and schema-versioned.
"sku": "DL-847291", "price": 124.99, "msrp": 149.99, "discount_pct": 16.6, "in_stock": true, "stock_message": "Ships within 24 hours", "shipping_tier": "Standard", "free_shipping_eligible": true
| # | sku | price | msrp | discount_pct | in_stock | stock_message |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews objects from destinationlighting.com. All fields typed and schema-versioned.
"review_id": "REV-98231", "sku": "DL-847291", "star_rating": 4.5, "review_title": "Perfect for kitchen island", "author": "Sarah M.", "date_posted": "2025-11-04", "verified_buyer": true
| # | review_id | sku | star_rating | review_title | review_body | author |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Assets & Documents objects from destinationlighting.com. All fields typed and schema-versioned.
"sku": "DL-847291", "main_image_url": "https://example.com/img/dl-847291-main.jpg", "gallery_images": "['img1.jpg', 'img2.jpg']", "install_pdf_url": "https://example.com/docs/install-847291.pdf", "spec_sheet_url": "https://example.com/docs/spec-847291.pdf", "warranty_pdf_url": "None"
| # | sku | main_image_url | gallery_images | install_pdf_url | spec_sheet_url | warranty_pdf_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our scraper handles the specific complexities of lighting catalogues: parsing bulb requirements, mapping finish variations, and extracting installation documents.
Extract every product across all categories: indoor lighting, outdoor fixtures, ceiling fans, and home decor items.
Capture bulb types, max wattage, voltage, colour temperature, lumens, and UL/ETL ratings into structured fields.
Monitor active prices, MSRP, discount percentages, and promotional banners across thousands of SKUs.
Track inventory status, estimated shipping dates, and stock warning messages to optimise procurement.
Extract URLs for installation guides, specification sheets, energy guides, and high-resolution gallery images.
Aggregate customer feedback, star ratings, and verified buyer status to analyse product performance.
Map parent-child relationships for fixtures with multiple finish options or size variations.
Extract breadcrumbs and room-type tags to understand how products are merchandised.
Run one-off bulk exports or configure continuous pipelines at daily or weekly cadences with change-detection.
Brief in. Clean data out.
Provide category URLs, brand filters, or specific SKUs. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, and spec-parsing logic for destinationlighting.com.
Schema validation, null-rate checks, and spec normalisation testing before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Lighting sites present unique data structuring challenges. Here is how we ensure high-fidelity extraction.
We utilise US-based residential proxies to distribute requests and prevent IP blocking during full-catalogue crawls.
Lighting fixtures often have multiple finishes and sizes on a single page. We parse these variations into distinct, queryable SKUs.
Bulb requirements and UL ratings are often buried in unstructured text. We use regex and NLP to extract these into strict boolean or numeric fields.
We identify and extract direct URLs for installation PDFs, specification sheets, and high-resolution images for every fixture.
For large catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing compute cost.
Retailers monitor competitor pricing and discount strategies across specific lighting brands and categories.
eCommerce teams extract product specifications and imagery to rapidly onboard new lighting brands to their own platforms.
Contractors and interior designers track stock availability and lead times for large-scale commercial projects.
Manufacturers analyse finish trends, pricing tiers, and customer reviews to guide new product development.
Computer vision teams use classified lighting images and specs to train visual search and room-design models.
Brands track how their products are merchandised compared to competitors within specific room categories.
"Destination Lighting holds critical spec data for thousands of fixtures, but standardising bulb types, UL ratings, and finishes requires dedicated pipeline engineering."
Most teams underestimate the complexity of lighting catalogues. Parsing technical specifications, mapping finish variations, and extracting installation documents require custom logic. DataFlirt handles this infrastructure so your engineers can focus on core product development rather than scraper maintenance.
Everything supported by our destinationlighting.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 variant loading.
We maintain pools of residential ISP proxies. Rotation happens per-request to ensure high success rates during large crawls.
Pipelines run on AWS infrastructure. Airflow handles scheduling, dependency management, and SLA alerting.
Data delivered to where your team already works — no new tooling required.
About destinationlighting.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information is generally permissible. DataFlirt targets only public, non-authenticated product, pricing, and spec data. We do not extract personal data or circumvent authentication walls. Clients should review terms of service and consult legal counsel for specific use cases.
We map parent-child relationships. If a fixture comes in Bronze, Nickel, and Brass, we extract each finish as a distinct record with its specific SKU, price, and imagery.
Yes. We locate the document links on the product page and provide direct URLs to the installation PDFs, specification sheets, and energy guides.
We can configure pipelines to run daily or weekly depending on your needs. For specific subsets of high-priority SKUs, we can run intra-day checks.
Yes. We parse unstructured specification text to extract clean data points for bulb type, maximum wattage, voltage, and UL/ETL ratings.
Yes. We provide a sample run of up to 500 SKUs during the scoping process so you can validate the schema and data quality before committing.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue dump or continuous price monitoring across thousands of fixtures, we scope, build, and operate the pipeline. Tell us what you need.
