We extract technical lighting specifications, energy efficiency ratings, pricing signals, and brand catalogues from Lampenwelt. 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 lampenwelt.de. All fields typed and schema-versioned.
"sku": "9621045", "title": "Philips Hue White Ambiance LED Ceiling Light", "brand": "Philips Hue", "price": 149.99, "energy_class": "F", "stock_status": "In Stock"
| # | sku | title | brand | category | price | energy_class |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Technical Specifications objects from lampenwelt.de. All fields typed and schema-versioned.
"sku": "9621045", "lumens": 2400, "kelvin": "2200K - 6500K", "ip_rating": "IP20", "socket_type": "Integrated LED", "dimmable": true
| # | sku | lumens | kelvin | ip_rating | socket_type | dimmable |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Offers objects from lampenwelt.de. All fields typed and schema-versioned.
"sku": "9621045", "current_price": 149.99, "original_price": 189.99, "discount_pct": 21, "currency": "EUR", "price_timestamp": "2026-05-12T09:14:00Z"
| # | sku | current_price | original_price | discount_pct | currency | sale_badge |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from lampenwelt.de. All fields typed and schema-versioned.
"review_id": "REV-83921", "sku": "9621045", "star_rating": 5, "date": "2026-04-18", "title": "Excellent smart lighting", "helpful_votes": 12
| # | review_id | sku | author | star_rating | date | title |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Search Results objects from lampenwelt.de. All fields typed and schema-versioned.
"keyword": "smart ceiling light", "position": 3, "sku": "9621045", "title": "Philips Hue White Ambiance", "price": 149.99, "scraped_at": "2026-05-12T09:14:33Z"
| # | keyword | position | sku | title | price | energy_class |
|---|---|---|---|---|---|---|
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Our pipeline handles the specific challenges of European retail sites: regional pricing, dynamic category filters, and complex technical metadata schemas.
Extract indoor, outdoor, and smart lighting categories completely, capturing every product listed across the site.
Capture lumens, colour temperature, IP ratings, and socket types, normalised into a consistent data structure.
Monitor EU energy labels and historical rating changes for compliance and product comparison.
Track retail prices, seasonal sales, and clearance discounts with timestamped accuracy.
Filter and extract Zigbee, Philips Hue, and Tuya integration data for smart lighting products.
Extract customer feedback, star ratings, and installation experiences directly from product pages.
Map parent products to colour, material, and size variations accurately.
Monitor stock depth and estimated delivery timeframes for supply chain intelligence.
Adaptable schema for other regional domains like lampenwelt.at and lampenwelt.ch.
Brief in. Clean data out.
Provide target categories, brands, or search terms. We design the extraction schema tailored to lighting data.
We configure crawlers, proxy rotation, and session management specific to German retail platforms.
Schema validation, null-rate checks, and data normalisation testing before full production launch.
JSON, CSV, or Parquet pushed to your S3 bucket or data warehouse on your required schedule.
Extracting structured data from European retail sites requires handling GDPR compliance, dynamic filtering, and bot protection. Here is how we build resilient pipelines.
Lampenwelt serves region-specific pricing and blocks data center IPs. We route requests through German residential proxies to ensure accurate pricing and prevent blocking.
Category pages use dynamic loading and complex filter states. We execute full browser sessions to hydrate product grids and capture all variants.
Lighting specifications vary wildly between brands. We normalise lumens, wattage, and IP ratings into a consistent schema regardless of the source brand.
Instead of full catalogue dumps, we maintain state and only emit records when prices, stock, or energy ratings change.
We explicitly avoid scraping user PII or authenticated areas, ensuring your dataset remains clean and legally compliant for enterprise use.
Lighting retailers track Lampenwelt pricing to adjust their own margins and promotional strategies.
Brands analyse Lampenwelt catalogues to identify missing product categories or trending smart home integrations.
Manufacturers monitor retail listings to ensure their products display correct EU energy efficiency labels.
Analysts track review velocity and category expansion to predict consumer demand for specific lighting styles.
Distributors monitor out-of-stock rates across key brands like Philips Hue and Lindby to anticipate supply shortages.
R&D teams mine customer reviews for complaints about installation or durability to improve future luminaire designs.
"Lampenwelt holds the most comprehensive technical lighting dataset in Europe. Extracting it requires navigating complex variant structures and strict regional bot protection."
Building a reliable pipeline for Lampenwelt means normalising thousands of technical attributes across hundreds of brands. DataFlirt handles the proxy rotation, JavaScript execution, and schema mapping so your team receives clean, queryable lighting data without managing infrastructure.
Everything supported by our lampenwelt.de 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 orchestration and deduplication. Playwright executes JavaScript to load dynamic filter states and variant pricing.
We utilise German residential ISP proxies to ensure we receive the correct regional pricing and avoid data center IP bans.
Pipelines run on AWS infrastructure managed by Airflow, ensuring reliable delivery schedules and automated retry logic.
Data delivered to where your team already works — no new tooling required.
About lampenwelt.de scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available product and pricing data is generally permissible. DataFlirt strictly extracts public information and does not bypass authentication or scrape personal user data.
Yes. We map all technical metadata including IP protection classes, colour temperature, socket types, and dimmability into a structured schema.
We use geo-targeted residential proxies based in Germany to ensure the pricing and availability data reflects the local market accurately.
Yes, we extract the current EU energy efficiency class for every luminaire, which is critical for compliance and product comparison.
We can configure pipelines to run daily, weekly, or at custom intervals. Our change detection system ensures you only process records that have updated.
Yes, our pipeline schema is adaptable to other domains like lampenwelt.at, lampenwelt.ch, and luminaire.fr with minimal configuration.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue export or a continuous pricing feed across thousands of luminaires. Tell us your requirements.
