We extract product specifications, pricing signals, designer collections, and inventory levels from Lamps Plus. 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 lampsplus.com. All fields typed and schema-versioned.
"sku": "7X421", "title": "Possini Euro Design Brass Pendant Light", "brand": "Possini Euro Design", "category": "Lighting", "price": 199.95, "list_price": 249.95, "in_stock": true, "rating": 4.8
| # | sku | title | brand | category | sub_category | price |
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Complete list of extractable fields for Pricing & Offers objects from lampsplus.com. All fields typed and schema-versioned.
"sku": "7X421", "price": 199.95, "list_price": 249.95, "discount_pct": 20, "open_box_price": 159.95, "clearance_flag": false, "free_shipping": true, "currency": "USD"
| # | sku | price | list_price | discount_pct | discount_abs | open_box_price |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Specifications objects from lampsplus.com. All fields typed and schema-versioned.
"sku": "7X421", "dimensions_height": "24 inches", "dimensions_width": "16 inches", "weight": "12 lbs", "finish_colour": "Antique Brass", "style": "Mid-Century Modern", "bulb_included": false, "wattage": "60W"
| # | sku | dimensions_height | dimensions_width | weight | finish_colour | material |
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Complete list of extractable fields for Reviews objects from lampsplus.com. All fields typed and schema-versioned.
"review_id": "REV-89214", "sku": "7X421", "star_rating": 5, "review_title": "Perfect over the kitchen island", "helpful_votes": 12, "verified_buyer": true, "review_date": "2023-11-14"
| # | review_id | sku | reviewer_name | location | star_rating | review_title |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Store Inventory objects from lampsplus.com. All fields typed and schema-versioned.
"sku": "7X421", "store_id": "LP-042", "store_name": "Los Angeles Flagship", "city": "Los Angeles", "state": "CA", "availability_status": "In Stock", "quantity": 4, "pickup_eligible": true
| # | sku | store_id | store_name | address | city | state |
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Our Lamps Plus scraper navigates complex product hierarchies, specification tables, Open Box inventory, and store-level availability with full JavaScript rendering and proxy rotation.
Extract lighting, furniture, and decor across all categories. Capture titles, brands, and detailed hierarchical breadcrumbs.
Parse complex specification tables including dimensions, materials, finishes, bulb requirements, and UL listings.
Track retail pricing, clearance discounts, and Open Box inventory prices timestamped per crawl.
Query local availability across retail locations. Capture pickup eligibility and stock status per store.
Extract full customer reviews, star ratings, verified buyer badges, and product Q&A threads.
Monitor exclusive brands like Possini Euro Design and Franklin Iron Works for MAP compliance.
Extract high-resolution image URLs, lifestyle shots, and 3D/AR model metadata links.
Map parent-child relationships for products with multiple size, finish, or shade colour options.
Run continuous pipelines with hash-based diffing to track price drops and out-of-stock events.
Brief in. Clean data out.
Provide category URLs, brand names, or specific SKU lists. We map the extraction schema to your requirements.
We configure Scrapy and Playwright crawlers, proxy rotation, and session management for lampsplus.com.
Schema validation, null-rate checks, and price-outlier detection before full production launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Retailers protect their pricing data. Here is how we ensure reliable extraction without IP bans or blocked requests.
We route requests through US-based residential IP addresses with realistic browser fingerprints to avoid datacenter IP bans.
Lamps Plus uses JavaScript to load inventory data and dynamic pricing. We use Playwright to execute scripts and wait for network idle.
Retail site layouts change frequently. We use multiple fallback chains including CSS, XPath, and JSON-LD structured data extraction.
We implement randomized delays and concurrency limits to mimic human browsing behaviour and avoid triggering rate-limit firewalls.
Every run emits logs to our Grafana dashboards. We alert on null-rate spikes in critical fields like price and stock status.
Retailers monitor Lamps Plus pricing, clearance events, and Open Box deals to adjust their own pricing strategies.
Lighting manufacturers audit product pages to ensure their minimum advertised price policies are enforced.
Merchandising teams analyse category depth, brand representation, and trending styles in lighting and decor.
Analysts track out-of-stock rates across categories to identify supply chain bottlenecks and demand surges.
eCommerce teams extract detailed specifications to enrich their own product information management (PIM) systems.
Brands analyse review text and Q&A data to identify product flaws, missing features, and customer preferences.
"Lamps Plus holds one of the most structured and detailed lighting catalogues on the internet, but extracting that specification data at scale requires purpose-built infrastructure."
Retail scraping requires handling JavaScript-heavy product pages, dynamic inventory lookups, and aggressive anti-bot protection. DataFlirt manages the proxies, headless browsers, and schema maintenance so your team receives clean, normalised data ready for analysis.
Everything supported by our lampsplus.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 interaction flows.
We maintain pools of US residential ISP proxies. Rotation happens per-request with sticky sessions where required.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management.
Data delivered to where your team already works — no new tooling required.
About lampsplus.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information is generally permissible. DataFlirt targets only public product, pricing, and review data. We do not extract personal data or bypass authentication walls.
Yes. Our pipeline captures standard retail pricing, clearance discounts, and Open Box inventory prices simultaneously.
Products with multiple finishes or sizes are mapped as child SKUs linked to a parent identifier, ensuring accurate price and stock tracking per variation.
Yes. We parse the detailed specification tables into structured key-value pairs, capturing dimensions, bulb types, materials, and UL listings.
Yes. By passing target zip codes to the inventory API, we can extract stock levels and pickup eligibility for specific retail locations.
Pipelines can be configured for daily catalogue refreshes or higher-frequency runs for specific high-priority SKUs or categories.
Our selectors use multi-layer fallback chains. If a change breaks the schema, our monitoring detects the anomaly and our engineers deploy a fix within hours.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a full catalogue export or continuous price monitoring across thousands of SKUs, we scope, build, and operate the pipeline.
