We extract lighting fixtures, technical specifications, energy ratings, pricing signals, and stock availability from lights.co.uk. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake.
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 lights.co.uk. All fields typed and schema-versioned.
"sku": "1002345", "title": "Philips Hue White Ambiance LED Ceiling Light", "brand": "Philips", "price": 129.9, "energy_class": "F", "ip_rating": "IP20", "in_stock": true
| # | sku | title | brand | category | sub_category | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Technical Specs objects from lights.co.uk. All fields typed and schema-versioned.
"sku": "1002345", "socket_type": "Integrated LED", "bulb_included": true, "wattage": "22.5W", "luminous_flux": "2400 lm", "colour_temperature": "2200K - 6500K", "dimmable": true
| # | sku | socket_type | bulb_included | wattage | luminous_flux | colour_temperature |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Offers objects from lights.co.uk. All fields typed and schema-versioned.
"sku": "1002345", "current_price": 129.9, "original_price": 149.9, "discount_pct": 13, "voucher_eligible": false, "vat_included": true, "price_timestamp": "2026-05-12T09:14:00Z"
| # | sku | current_price | original_price | discount_pct | voucher_eligible | bulk_discount_available |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Stock & Delivery objects from lights.co.uk. All fields typed and schema-versioned.
"sku": "1002345", "stock_status": "In Stock", "dispatch_time": "24 hours", "delivery_cost": 0.0, "free_delivery_eligible": true, "return_policy": "30 days", "last_checked": "2026-05-12T09:14:33Z"
| # | sku | stock_status | dispatch_time | delivery_cost | free_delivery_eligible | return_policy |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Reviews objects from lights.co.uk. All fields typed and schema-versioned.
"review_id": "REV-98234", "sku": "1002345", "rating": 5, "author": "James T.", "date": "2026-04-18", "title": "Excellent smart light", "verified_purchase": true
| # | review_id | sku | rating | author | date | title |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our lights.co.uk scraper handles complex technical specifications, nested category structures, and dynamic stock indicators with full JavaScript rendering.
Title, brand, SKU, descriptions, and high-resolution image URLs scraped across all lighting categories.
Extract granular details including IP ratings, socket types, luminous flux, and smart home compatibility.
Capture EU/UK energy efficiency classes and compliance data directly from product metadata.
Monitor current prices, RRPs, discount percentages, and promotional voucher eligibility.
Track inventory status, dispatch times, and delivery costs across the entire catalogue.
Extract customer ratings, review text, and verified purchase flags for product sentiment analysis.
Navigate nested category trees to maintain accurate product taxonomy and sub-category mapping.
Capture primary and gallery image URLs, including technical drawings and dimension schematics.
Configure daily or weekly pipelines to detect catalogue additions and price changes automatically.
Brief in. Clean data out.
Provide categories, brands, or specific SKUs. We map the required technical specifications and pricing fields.
We configure Scrapy and Playwright to navigate lights.co.uk, handling dynamic rendering and rate limits.
Schema validation ensures technical fields like lumens and IP ratings are parsed correctly before launch.
Clean, normalised datasets pushed to your warehouse or object storage on your specified schedule.
E-commerce sites deploy dynamic rendering and anti-bot measures. Here is how we maintain reliable extraction.
Critical pricing updates and stock availability often load dynamically via JavaScript. We use full Playwright browser sessions to ensure all client-side rendered data is captured accurately.
To prevent IP bans during full catalogue crawls, we route requests through UK-based residential proxies, managing session cookies and mimicking standard browsing behaviour.
Lighting specs vary wildly. We parse unstructured HTML tables into clean JSON key-value pairs, ensuring fields like 'colour temperature' and 'luminous flux' are consistently formatted.
Fixtures available in multiple sizes or finishes are mapped correctly, linking child SKUs to parent models with their specific pricing and stock levels.
Instead of processing the entire catalogue daily, our pipeline identifies changed fields and delivers delta files, optimising your ingestion costs.
Retailers monitor lights.co.uk pricing and discount strategies to adjust their own pricing models dynamically.
Brands track which competing products are featured, discounted, or out of stock across key categories.
Merchandisers analyse catalogue gaps by tracking new product additions and category depth.
Distributors enrich their own PIM systems with accurate technical specifications and energy ratings.
Consultancies monitor the shift in energy efficiency classes across the market to track regulatory compliance.
Analysts track review volumes and ratings to identify trending smart home lighting systems.
"Lighting retail requires precise technical specifications. Extracting IP ratings, lumens, and energy classes is just as critical as capturing the price."
Standard HTTP clients fail on lights.co.uk because critical technical data and stock levels load dynamically via JavaScript. DataFlirt uses full browser rendering and residential proxies to ensure every specification, energy label, and pricing tier is captured accurately.
Everything supported by our lights.co.uk 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 interaction flows for dynamic product pages.
We maintain pools of UK residential proxies. Rotation happens per-request to prevent bot detection and IP bans.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, while all state is stored in managed PostgreSQL.
Data delivered to where your team already works — no new tooling required.
About lights.co.uk scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available product and pricing information is generally permissible. DataFlirt targets only public, non-authenticated data. We do not extract personal data or circumvent authentication walls.
We use Playwright to execute JavaScript, ensuring all client-side rendered elements, such as dynamic stock indicators and variant pricing, are fully loaded before extraction.
Pipelines can be configured for daily or sub-daily runs depending on your requirements, ensuring you receive up-to-date pricing and stock signals.
We parse unstructured HTML specification tables into clean, normalised JSON key-value pairs, ensuring consistent schema across different product categories.
We typically start with a defined list of SKUs or specific categories. Contact us with your target volume for a precise technical scoping.
Yes. We provide a sample run of up to 500 SKUs during the scoping phase to validate schema fit and data completeness before contract execution.
20-minute scoping call. Pilot dataset within the week. Production within two. From daily price monitoring to full technical specification extraction. Tell us your requirements.
