We extract lighting collections, SKUs, technical dimensions, finishes, bulb requirements, and spec sheets from Quoizel. Delivered as clean JSON, CSV, or Parquet to S3 or BigQuery 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 Core objects from quoizel.com. All fields typed and schema-versioned.
"sku": "QPP5461MBK", "title": "Grant Mini Pendant", "collection": "Grant", "category": "Pendants", "finish": "Matte Black", "upc": "061172834912"
| # | sku | title | collection | category | finish | style |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Dimensions objects from quoizel.com. All fields typed and schema-versioned.
"height_inches": 12.5, "width_inches": 8.0, "depth_inches": 8.0, "weight_lbs": 3.2, "wire_length_inches": 96.0, "canopy_size": "5.00 D"
| # | height_inches | width_inches | depth_inches | weight_lbs | wire_length_inches | chain_length_inches |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Electrical Specs objects from quoizel.com. All fields typed and schema-versioned.
"bulb_type": "Incandescent", "bulb_base": "Medium (E26)", "max_wattage": 100, "bulb_count": 1, "voltage": 120, "location_rating": "Damp"
| # | bulb_type | bulb_base | max_wattage | bulb_count | voltage | dimmable |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Assets objects from quoizel.com. All fields typed and schema-versioned.
"image_primary": "https://quoizel.com/media/catalog/product/Q/P/QPP5461MBK.jpg", "image_gallery": "['https://quoizel.com/media/catalog/product/Q/P/QPP5461MBK_alt1.jpg']", "spec_sheet_pdf": "https://quoizel.com/media/specs/QPP5461MBK.pdf", "instruction_pdf": "https://quoizel.com/media/instructions/IS-QPP5461.pdf", "warranty_pdf": "https://quoizel.com/media/warranty/quoizel-warranty.pdf", "video_url": "None"
| # | image_primary | image_gallery | spec_sheet_pdf | instruction_pdf | energy_guide | warranty_pdf |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Dealer Data objects from quoizel.com. All fields typed and schema-versioned.
"dealer_name": "Lighting Design Center", "dealer_type": "Showroom", "address": "123 Main St", "city": "Atlanta", "state": "GA", "zip_code": "30301"
| # | dealer_name | dealer_type | address | city | state | zip_code |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Quoizel scraper handles every layer of the platform: full catalogue extraction, technical specification normalisation, PDF asset downloading, and dealer locator mapping.
Extract every SKU across all collections, categories, and styles. We map parent-child variations for multi-finish products.
Parse unstructured HTML tables into clean JSON fields for height, width, weight, canopy size, and wire length.
Capture bulb type, base, maximum wattage, voltage, and damp/dry location ratings for every fixture.
Extract direct URLs for primary images, gallery shots, and lifestyle imagery at maximum resolution.
Locate and extract URLs for technical spec sheets, installation instructions, and warranty documents.
Standardise finish names, shade materials, and glass types across the entire product database.
Iterate through ZIP codes to map Quoizel's entire dealer and showroom network across North America.
Monitor category pages to flag newly added SKUs and capture their specifications immediately.
Identify 404s and removed products to keep your internal Product Information Management system updated.
Brief in. Clean data out.
Provide categories, collections, or specify a full catalogue scrape. We design the extraction schema together.
We configure Scrapy crawlers, asset downloading pipelines, and HTML table parsers for quoizel.com.
Schema validation, null-rate checks on technical specs, and asset URL verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket or BigQuery dataset on agreed cadence.
Extracting lighting data requires more than simple HTML parsing. Here is how we standardise messy technical specifications.
Lighting specifications are often stored in inconsistent HTML tables. We use custom parsers to identify keys like 'Canopy Size' or 'Wire Length' and normalise their values into strict numeric and string fields in our JSON schema.
Product pages link to multiple high-resolution images and PDF spec sheets. Our pipeline follows these links, resolves redirects, and outputs clean, direct URLs for your PIM system to ingest.
Dealer locators restrict results to a small radius. We programmatically generate a grid of ZIP codes across North America and query the locator API to extract the complete network of showrooms and distributors.
For daily PIM syncs, we maintain a hash index of last-seen values per SKU. Subsequent runs only push diffs, reducing compute cost and downstream processing load for your engineering team.
eCommerce platforms update their frontend templates frequently. We monitor for null-rate spikes on critical fields like 'MSRP' or 'Dimensions' and update our selectors before you receive bad data.
Lighting distributors automate the ingestion of Quoizel SKUs, dimensions, and images into their internal Product Information Management systems.
Lighting manufacturers extract Quoizel's catalogue to benchmark their own pricing, finishes, and technical specifications against market standards.
3D rendering and interior design software providers populate their item catalogues with accurate dimensions and finishes.
Brands track Quoizel's dealer network to identify overlapping showrooms and target new distribution channels.
Retailers monitor public MSRP changes across collections to ensure their pricing models remain competitive.
Merchandising teams analyze finish availability and style trends to inform their procurement strategies for the upcoming season.
"Quoizel holds thousands of complex lighting specifications and high-resolution assets - critical data for distributors, but locked behind HTML tables and PDF spec sheets."
Extracting lighting data requires more than simple HTML parsing. Technical specifications must be normalised, PDF assets downloaded and linked, and dimensional data standardised. DataFlirt handles the extraction, normalisation, and asset delivery so your team can focus on catalogue management.
Everything supported by our quoizel.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 high-throughput catalogue crawling and deduplication. Playwright handles dynamic dealer locators and JavaScript-rendered specification tabs.
Dedicated workers handle the resolution and validation of high-resolution images and PDF spec sheets, ensuring no dead links reach your database.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About quoizel.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available product specifications, dimensions, and MSRP from quoizel.com is generally permissible. DataFlirt targets only public, non-authenticated catalogue data. We do not circumvent wholesale login portals or extract proprietary B2B pricing.
We extract the direct URL to the PDF document hosted on Quoizel's servers. If required, we can also implement custom parsing to extract text or metadata directly from the PDF files during the pipeline run.
Yes. We locate the highest resolution image assets available on the product page, bypassing thumbnails, and deliver the direct URLs in the final dataset.
Lighting dimensions are often formatted as text strings (e.g., '12.5 H x 8.0 W'). Our normalisation layer parses these strings and converts them into strict numeric fields (height_inches, width_inches) for database compatibility.
For full catalogue extractions, we typically run weekly or monthly pipelines. For specific high-priority collections, we can configure daily runs to detect new SKUs or MSRP changes immediately.
Yes. We use a grid-search algorithm with ZIP codes to systematically query the dealer locator API, extracting the complete list of showrooms and distributors.
Our minimum engagement covers the setup and weekly delivery of the full public Quoizel catalogue. Contact us with your specific schema requirements for a detailed quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue dump or continuous updates for your PIM - we scope, build, and operate the pipeline. Tell us what you need.
