We extract designer lighting catalogues, furniture specifications, finish variants, and pricing signals from Lumens. 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 Listings objects from lumens.com. All fields typed and schema-versioned.
"sku": "LUM123456", "title": "PH 5 Pendant", "designer": "Poul Henningsen", "brand": "Louis Poulsen", "price": 1295.0, "currency": "USD", "ul_rating": "Dry Location", "lead_time": "Ships in 2 to 3 weeks"
| # | sku | title | designer | brand | category | sub_category |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Variants objects from lumens.com. All fields typed and schema-versioned.
"sku": "LUM123456", "variant_id": "V-98765", "finish_name": "Classic White", "size_name": "Medium", "variant_price": 1295.0, "discount_pct": 0, "stock_status": "In Stock", "price_timestamp": "2026-05-12T10:15:00Z"
| # | sku | base_price | variant_id | variant_price | discount_pct | finish_name |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Specifications & Docs objects from lumens.com. All fields typed and schema-versioned.
"sku": "LUM123456", "voltage": "120V", "bulb_type": "1 x 22W LED", "material": "Spun Aluminum", "weight": "5.5 lbs", "spec_sheet_url": "https://lumens.com/pdfs/louis-poulsen-ph5.pdf", "country_of_origin": "Denmark"
| # | sku | voltage | bulb_type | wattage | material | weight |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from lumens.com. All fields typed and schema-versioned.
"review_id": "REV-88712", "sku": "LUM123456", "star_rating": 5, "review_title": "Iconic design and perfect lighting", "review_date": "2026-03-14", "verified_buyer": true, "helpful_votes": 12, "images_included": false
| # | review_id | sku | reviewer_name | star_rating | review_title | review_body |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search Results objects from lumens.com. All fields typed and schema-versioned.
"keyword": "modern pendant lighting", "position": 3, "sku": "LUM123456", "brand": "Louis Poulsen", "price": 1295.0, "sale_badge": false, "rating": 4.8, "scraped_at": "2026-05-12T10:16:22Z"
| # | keyword | position | sku | title | brand | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Lumens scraper extracts every layer of the platform, from high-end lighting specifications to dynamic finish matrices and pricing signals, with full JavaScript rendering and session management built in.
Title, designer, brand, dimensions, weight, and every metadata field Lumens surfaces, scraped at the SKU level with exact precision.
Extract complex product matrices including finishes, colours, sizes, and voltage options, mapping parent SKUs to child variants.
Capture direct URLs to installation guides, technical specification PDFs, and warranty documents for every product.
Monitor base prices, sale discounts, open-box pricing availability, and promotional codes timestamped per crawl.
Scrape complete brand assortments from top designers like Artemide, Herman Miller, and Knoll with accurate categorisation.
Extract stock status, estimated shipping dates, and freight delivery requirements for bulky furniture items.
Full review text, star ratings, helpful vote counts, and verified buyer flags paginated across all customer feedback pages.
Track organic search positions for high-value keywords like modern chandeliers and outdoor lighting.
Run one-off bulk exports or configure continuous pipelines at daily cadences with change-detection diffing.
Brief in. Clean data out.
Provide SKU lists, category URLs, or brand names. We design the extraction schema together.
We configure Scrapy and Playwright crawlers, proxy rotation, and session management for lumens.com.
Schema validation, null-rate checks, and price-outlier detection before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
High-end retail sites use complex JavaScript frameworks to render dynamic pricing and variant matrices. Here is how we ensure reliable extraction.
Lumens loads finish options and corresponding prices dynamically via JavaScript. We run full Playwright browser sessions to trigger these state changes, capturing data that headless HTTP clients miss entirely.
Retail sites use bot protection to block automated scraping. Our crawlers use US residential ISP proxies with realistic browser fingerprints and full cookie session management.
Lighting dimensions and electrical specifications are often formatted inconsistently. Our pipeline parses and normalises voltage, wattage, and dimension strings into structured numeric fields.
For large catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, price outliers, schema drift, and coverage drops.
Retailers monitor pricing, promotions, and open-box discounts to adjust their own pricing strategies.
Merchandising teams analyse brand coverage, finish availability, and category depth to identify gaps in their own catalogues.
Procurement platforms pull dimensions, UL ratings, and spec sheets to populate trade-focused design software.
Lighting manufacturers audit retail listings for MAP violations and unauthorised discounting.
Analysts track new product introductions and designer collaborations to map trends in modern home decor.
Supply chain teams correlate lead times and stock status indicators to model industry supply chain health.
"Lumens holds the most structured catalogue of designer lighting and modern furniture on the web, but extracting accurate finish matrices requires dedicated infrastructure."
Extracting data from Lumens involves navigating complex product matrices, dynamic pricing based on finish selections, and heavy JavaScript rendering. DataFlirt handles the proxy rotation, session management, and schema mapping so your team receives clean, normalised data ready for immediate analysis without building custom crawlers.
Everything supported by our lumens.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, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows for dynamic variants.
We maintain pools of residential ISP proxies across US regions. Rotation happens per request with sticky sessions where required to bypass retail bot protection.
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 lumens.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from retail websites is generally permissible under applicable law. DataFlirt targets only public, non-authenticated product, pricing, and review data. We do not extract personal data or circumvent authentication walls.
We use full Playwright browser sessions to execute JavaScript and trigger state changes on the product page, iterating through every available finish, size, and voltage combination to capture exact pricing and availability.
Full catalogue refreshes at daily cadence complete within a 4 to 8 hour window depending on category size. We can configure specific high-priority SKUs for higher frequency monitoring.
Yes. We extract the direct URLs to installation guides, spec sheets, and warranty documents, delivering them as structured fields alongside the product metadata.
Our minimum engagements typically start at a defined category or brand list with weekly delivery. We price based on volume and delivery frequency. Contact us for a scoped quote.
Yes. We provide a sample run of up to 500 SKUs or 50 search result pages 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 the entire site, we scope, build, and operate the pipeline. Tell us what you need.
