We extract technical lighting specifications, pricing signals, brand catalogues, and stock levels from click-licht.de. 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 click-licht.de. All fields typed and schema-versioned.
"sku": "CL-49281-W", "title": "Philips Hue White Ambiance LED", "brand": "Philips", "price": 29.99, "energy_class": "F", "stock_status": "in_stock", "delivery_time": "1-3 days"
| # | sku | title | brand | category | price | list_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Technical Specs objects from click-licht.de. All fields typed and schema-versioned.
"sku": "CL-49281-W", "lumens": 806, "kelvin": "2200-6500K", "ip_rating": "IP20", "dimmable": true, "smart_home": "Zigbee", "socket_type": "E27", "wattage": 8.5
| # | sku | lumens | kelvin | ip_rating | dimmable | material |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Inventory objects from click-licht.de. All fields typed and schema-versioned.
"sku": "CL-49281-W", "base_price": 34.99, "discounted_price": 29.99, "discount_pct": 14, "availability_status": "available", "currency": "EUR", "scraped_at": "2026-05-12T09:14:00Z"
| # | sku | base_price | discounted_price | discount_pct | stock_count | availability_status |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Categories & Navigation objects from click-licht.de. All fields typed and schema-versioned.
"primary_category": "Smart Home", "sub_category": "Smart Bulbs", "product_count": 412, "url": "https://www.click-licht.de/smart-home/leuchtmittel", "breadcrumbs": "['Home', 'Smart Home', 'Smart Bulbs']", "sort_order": "popularity"
| # | category_path | primary_category | sub_category | url | product_count | breadcrumbs |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from click-licht.de. All fields typed and schema-versioned.
"review_id": "REV-99281", "sku": "CL-49281-W", "rating": 5, "author": "Markus T.", "date": "2026-04-18", "text": "Top Qualität und schnelle Lieferung.", "verified": true, "helpful_votes": 3
| # | review_id | sku | rating | author | date | text |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our extraction pipeline parses complex technical tables, variant switchers, and dynamic pricing widgets across the entire Click-Licht.De catalogue.
Extract lumens, colour temperature, IP ratings, socket types, and wattage from nested HTML specification tables.
Capture base prices, current discounts, and promotional flags across all lighting categories in real time.
Monitor availability statuses and estimated delivery windows to track inventory depth and supply chain shifts.
Extract complete assortments for brands like Philips, Osram, and Paulmann, including brand specific promotional badges.
Map parent fixtures to child variants based on colour, size, or material, ensuring clean relational data.
Identify supported protocols including Zigbee, Z-Wave, WiFi, Bluetooth, Apple HomeKit, and Philips Hue compatibility.
Capture EU energy efficiency classes and consumption metrics directly from product listings.
Pull customer ratings, review text, and verified purchase flags to monitor product quality and feedback.
Run extractions daily, weekly, or hourly to maintain an up to date view of the German lighting market.
Brief in. Clean data out.
Provide categories, brand URLs, or specific SKUs. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, and session management for click-licht.de.
Schema validation, null-rate checks, and technical spec normalisation before full launch.
JSON / CSV / Parquet pushed to your S3 bucket or warehouse on agreed cadence.
Extracting structured data from modern eCommerce platforms requires handling dynamic widgets and anti-bot systems.
We use German residential proxies to ensure accurate local pricing, availability, and language rendering, avoiding geolocation blocks or currency redirects.
Lighting fixtures often have dozens of variants. We use Playwright to execute JavaScript and trigger variant switches, capturing accurate prices and specs for every SKU.
Specification tables vary wildly between bulbs and fixtures. Our parsers normalise keys like 'Lichtstrom' to 'lumens' and 'Schutzart' to 'ip_rating' for consistent downstream querying.
We maintain state across runs, pushing only records where price, stock, or delivery times have changed, reducing your processing overhead.
If click-licht.de updates their product page layout, our monitoring stack detects null-rate spikes and alerts our engineering team to update selectors immediately.
Retailers track click-licht.de pricing and discount strategies to optimise their own margins and promotional calendars.
Brands monitor their visibility, pricing adherence, and assortment overlap against competing manufacturers.
Merchandisers analyse technical spec trends, such as the shift towards specific smart home protocols or higher efficiency classes.
Analysts track review velocity and stock availability to identify top performing lighting categories in the German market.
Auditors scrape energy efficiency class data to ensure market compliance and track the phase-out of older lighting technologies.
Machine learning teams use structured technical specifications and product descriptions to train domain specific recommendation engines.
"Lighting eCommerce requires precise technical extraction. Missing a lumen count or IP rating renders the dataset useless for serious assortment planning."
Most teams underestimate the complexity of parsing nested HTML tables for technical specifications across thousands of lighting variants. DataFlirt manages the residential proxies, JavaScript rendering, and schema normalisation so your engineers can focus on pricing strategy and catalogue expansion.
Everything supported by our click-licht.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 crawl orchestration and deduplication. Playwright handles JavaScript rendering and variant interaction flows.
We maintain pools of residential proxies in Germany to ensure accurate local pricing and avoid rate limits.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting.
Data delivered to where your team already works — no new tooling required.
About click-licht.de scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from click-licht.de is generally permissible. DataFlirt extracts only public product, pricing, and technical data. We do not extract personal data or circumvent authentication walls.
We use Playwright to interact with variant selectors on the product page, capturing the specific price, stock status, and technical specs for every individual SKU within a product family.
Yes. Our parsers map German specification keys (e.g., 'Fassung', 'Lichtfarbe') to standardised English keys (e.g., 'socket_type', 'kelvin') to ensure consistent schema delivery.
We configure pipeline cadence based on your requirements. Pricing and stock data can be extracted daily or hourly, while full catalogue refreshes typically run weekly.
We extract the stated energy efficiency class (e.g., A to G) directly from the product metadata. We do not parse data from linked PDF documents.
Data is delivered in your preferred format, including JSON, CSV, or Parquet, pushed directly to your S3 bucket, Google Cloud Storage, or Snowflake instance.
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 the Click-Licht.De assortment — we build and operate the pipeline. Tell us what you need.
