We extract lighting fixtures, technical specifications, dimensional data, and stock signals from Elk 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 Core objects from elklighting.com. All fields typed and schema-versioned.
"sku": "10150/3", "upc": "748119005934", "title": "Chadwick 3-Light Pendant in Antique Copper", "brand": "Elk Home", "collection": "Chadwick", "category": "Indoor Lighting", "sub_category": "Pendants", "msrp": 318.0
| # | sku | upc | title | brand | collection | category |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Technical Specs objects from elklighting.com. All fields typed and schema-versioned.
"sku": "10150/3", "voltage": "120V", "bulb_type": "Incandescent", "bulb_base": "E26 Medium", "bulb_count": 3, "max_wattage": 100, "safety_rating": "Dry", "dimmable": true
| # | sku | voltage | bulb_type | bulb_base | bulb_count | max_wattage |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Dimensions & Weight objects from elklighting.com. All fields typed and schema-versioned.
"sku": "10150/3", "height_in": 14.0, "width_in": 36.0, "depth_in": 13.0, "weight_lbs": 11.0, "wire_length_in": 72.0, "chain_length_in": 36.0
| # | sku | height_in | width_in | depth_in | weight_lbs | backplate_width_in |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Materials & Finishes objects from elklighting.com. All fields typed and schema-versioned.
"sku": "10150/3", "primary_material": "Metal", "secondary_material": "Glass", "primary_finish": "Antique Copper", "shade_material": "Glass", "shade_color": "White", "glass_type": "Opal"
| # | sku | primary_material | secondary_material | primary_finish | secondary_finish | shade_material |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Inventory & Shipping objects from elklighting.com. All fields typed and schema-versioned.
"sku": "10150/3", "in_stock": true, "stock_qty": 42, "lead_time_days": 3, "shipping_method": "Parcel", "freight_class": "150", "box_count": 1
| # | sku | in_stock | stock_qty | lead_time_days | shipping_method | freight_class |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our Elk Lighting scraper targets specific fixture metadata, dimensional constraints, and stock availability signals. We handle the complex variant structures and PDF spec sheets automatically.
Extract SKUs, titles, descriptions, and UPCs across all categories including pendants, chandeliers, sconces, and exterior lighting.
Capture precise height, width, depth, and weight values, alongside chain lengths and backplate dimensions.
Extract voltage ratings, bulb types, base types, max wattage limits, and UL safety ratings per fixture.
Scrape high resolution image URLs and download installation guides or PDF spec sheets directly to your S3 bucket.
Extract and standardise primary finishes, secondary finishes, shade materials, and glass types.
Monitor public in-stock flags and estimated lead times to keep your dealer storefront updated.
Group individual SKUs by their parent Elk Home collection for accurate cross-merchandising.
Track public retail price changes over time to ensure MAP compliance and margin protection.
Run daily or weekly pipelines that only emit records for SKUs with changed specifications or stock status.
Brief in. Clean data out.
Provide target categories, specific collections, or full catalogue requirements. We design the schema together.
We configure Scrapy crawlers, proxy rotation, and PDF parsing logic for elklighting.com.
Schema validation, null-rate checks, and dimension format standardisation before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Lighting catalogues are structurally complex. Here is how we ensure data consistency across thousands of technical SKUs.
We route requests through US-based residential ISP proxies to prevent rate limiting and IP blocks during full catalogue sweeps.
When technical specifications are locked inside PDF tear sheets rather than the DOM, our pipeline downloads the document and extracts structured text automatically.
Lighting fixtures often share a base model but branch into multiple SKUs based on finish options. We map parent-child relationships to keep your database relational.
For large catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing downstream processing load.
Every run emits structured logs. We alert on null-rate spikes or schema drift if Elk Home updates their website architecture.
Lighting retailers and dealers populate their Shopify or BigCommerce stores with accurate product data and high-res imagery.
Design software platforms aggregate dimensional and finish specifications for 3D rendering and procurement tools.
Rival lighting manufacturers track MSRP changes across Elk Home collections to benchmark their own pricing.
Retailers monitor public stock availability signals to route orders efficiently and avoid selling backordered fixtures.
eCommerce teams feed structured technical specifications directly into Akeneo or Salsify without manual data entry.
Analysts model category availability and lead times across major lighting distributors to predict supply constraints.
"Elk Lighting provides a massive, complex catalogue of technical fixture data, but keeping dealer storefronts and PIMs synchronised requires building dedicated extraction pipelines."
Most teams underestimate the investment required: reliable lighting catalogue scraping requires handling complex variant structures, parsing PDF spec sheets, and maintaining daily inventory checks. DataFlirt absorbs that complexity so your engineers can focus on the analysis, not the infrastructure.
Everything supported by our elklighting.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 dynamic interaction flows.
We maintain pools of residential ISP proxies. Rotation happens per request with sticky sessions where required.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and alerting.
Data delivered to where your team already works — no new tooling required.
About elklighting.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Elk Lighting is generally permissible. DataFlirt targets only public, non-authenticated product, specification, and MSRP data. We do not circumvent authentication walls to extract gated dealer pricing.
We use residential ISP proxies, full Playwright browser sessions, and request timing modelled on human behaviour. Our selectors have fallback chains so DOM changes do not break the pipeline.
Yes. When technical dimensions or safety ratings are only available in PDF format, our pipeline downloads the file and uses text extraction libraries to structure the required data points.
Full catalogue refreshes at daily cadence complete within a 4-8 hour window. We can also configure high-priority SKU lists for hourly public stock availability checks.
Yes. We can extract the maximum resolution image URLs or download the actual image files directly to your S3 bucket, structured by SKU.
Our packages start at a defined category list or full public catalogue extraction with weekly delivery. Contact us with your use case for a scoped quote.
Yes. We provide a sample run of up to 200 SKUs as part of the pre-engagement scoping process so you can validate schema fit and field completeness.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue dump or a continuous inventory monitoring feed, we scope, build, and operate the pipeline. Tell us what you need.
