We extract fixture catalogues, dimensional specs, finish variants, stock depth, and pricing signals from LightingDirect. 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 Fixtures & Pendants objects from lightingdirect.com. All fields typed and schema-versioned.
"sku": "KIC-43058", "brand": "Kichler", "collection": "Braelyn", "product_title": "8 Light 40 Inch Wide Linear Chandelier", "finish_colour": "Olde Bronze", "height_inches": 11.25, "price": 429.0, "in_stock": true
| # | sku | brand | collection | product_title | finish_colour | style |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Technical Specs objects from lightingdirect.com. All fields typed and schema-versioned.
"sku": "KIC-43058", "bulb_base": "Medium (E26)", "bulb_type": "Incandescent", "wattage_per_bulb": 60, "total_wattage": 480, "voltage": 120, "dimmable": true, "ul_rating": "Dry Location"
| # | sku | bulb_base | bulb_type | wattage_per_bulb | total_wattage | voltage |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Pricing & Inventory objects from lightingdirect.com. All fields typed and schema-versioned.
"sku": "KIC-43058", "msrp": 550.0, "current_price": 429.0, "discount_pct": 22, "stock_status": "In Stock", "lead_time_days": 2, "free_shipping_eligible": true, "scraped_at": "2026-05-12T09:14:00Z"
| # | sku | msrp | current_price | discount_pct | stock_status | stock_quantity |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Reviews & Ratings objects from lightingdirect.com. All fields typed and schema-versioned.
"review_id": "REV-99214", "sku": "KIC-43058", "rating": 4.8, "reviewer_name": "Sarah T.", "review_date": "2025-11-04", "review_title": "Perfect for over the island", "verified_buyer": true, "helpful_votes": 12
| # | review_id | sku | rating | reviewer_name | review_date | review_title |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Ceiling Fans objects from lightingdirect.com. All fields typed and schema-versioned.
"sku": "HUN-59241", "blade_span_inches": 52, "blade_pitch_degrees": 13, "motor_type": "AC", "airflow_cfm": 4210, "includes_light_kit": true, "remote_included": true, "reversible_motor": true
| # | sku | blade_span_inches | blade_pitch_degrees | motor_type | airflow_cfm | includes_light_kit |
|---|---|---|---|---|---|---|
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Our scraper handles every layer of the LightingDirect catalogue: dimensional specifications, complex finish variants, dynamic pricing, and stock depth, with complete JavaScript rendering and anti-bot circumvention built in.
Extract brands, collections, and categories across chandeliers, pendants, sconces, and outdoor lighting fixtures.
Capture bulb base types, voltage, lumens, wattage, colour temperature, and UL/ETL ratings for every SKU.
Map parent and child relationships for fixtures with multiple finish colours, glass types, and size variants.
Track MSRP, current retail price, discount percentages, and promotional pricing flags timestamped per crawl.
Extract real-time stock availability, estimated ship dates, and lead time estimates for backordered items.
Scrape and structure URLs for installation guides, manufacturer specification sheets, and warranty documents.
Extract customer ratings, review text, verified buyer flags, and helpful vote counts across all paginated reviews.
Maintain the exact taxonomy path for each product, including room type, style, and mount type classifications.
Run continuous pipelines that only emit records when price, stock status, or specifications change.
Brief in. Clean data out.
Provide category URLs, brand names, or specific SKU lists. We design the extraction schema together.
We configure Scrapy and Playwright crawlers, proxy rotation, and session management for lightingdirect.com.
Schema validation, null-rate checks, and variant mapping verification before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
LightingDirect relies on complex variant matrices and dynamic inventory rendering. Here is how we stay resilient.
Lighting fixtures often come in dozens of finish and glass combinations. Our pipeline iterates through the frontend JavaScript state to extract every variant combination as a distinct, queryable SKU record.
Stock status and lead times are rendered dynamically via API calls after the initial page load. We intercept these network requests to capture accurate inventory data without waiting for DOM hydration.
Technical data is frequently buried in manufacturer PDF sheets. Our crawlers extract the document URLs and can pipe them to OCR or text extraction microservices if deep specification parsing is required.
To prevent IP bans during high-volume catalogue crawls, we route requests through US-based residential proxies, mimicking legitimate buyer traffic patterns and session durations.
For massive brand catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Home decor retailers track LightingDirect pricing and discount strategies to adjust their own promotional calendars.
Merchandising teams analyse brand coverage, style trends, and finish popularity to identify gaps in their own catalogues.
Contractors and builders monitor stock availability and lead times for high-volume fixture procurement.
Design platforms ingest dimensional and specification data to build accurate 3D models and room planning tools.
Manufacturers monitor out-of-stock rates across competitor brands to anticipate supply chain disruptions.
Lighting manufacturers audit retail prices to ensure compliance with Minimum Advertised Price policies.
"LightingDirect holds the most comprehensive structured dataset for architectural and decorative lighting, but extracting dimensional specs and variant matrices requires precision engineering."
Most teams underestimate the complexity of lighting catalogues. Parsing multi-dimensional finish matrices, extracting technical PDF spec sheets, and tracking dynamic stock depth requires specialised infrastructure. DataFlirt manages the proxies, renders the JavaScript, and normalises the schema so your engineers can focus on analysis.
Everything supported by our lightingdirect.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 retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows for complex variant dropdowns.
We maintain pools of residential ISP proxies across US regions. Rotation happens per request with sticky sessions where required to maintain state.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. All state is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About lightingdirect.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 specification data. We do not extract personal data or circumvent authentication walls.
We use US-based residential ISP proxies and full Playwright browser sessions with realistic fingerprints. Our selectors have fallback chains so DOM changes do not break the pipeline.
We can configure pipelines to run daily, hourly, or at custom intervals. Change-detection diffing ensures you only process updates when a price or stock status actually shifts.
Yes. We map the parent fixture to all its child variants, ensuring every combination of finish colour, glass type, and size is recorded as a discrete SKU with its specific price and stock status.
Our smallest packages start at a defined brand or category list with weekly delivery. For full catalogue extraction, we price based on volume and delivery frequency.
Absolutely. We provide a sample run of up to 500 SKUs as part of the pre-engagement scoping process so you can validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue dump or a continuous price-monitoring feed across 100K SKUs, we scope, build, and operate the pipeline. Tell us what you need.
