We extract sanitaryware, bath fittings, and lighting catalogues from Jaquar. 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 Metadata objects from jaquar.com. All fields typed and schema-versioned.
"sku": "FLR-CHR-5001BP", "title": "Single Lever Basin Mixer", "category": "Faucets", "collection": "Florentine", "brand": "Jaquar", "mrp": 4250.0, "warranty_years": 10, "finish_options": "['Chrome', 'Antique Bronze', 'Black Matte']"
| # | sku | title | category | sub_category | collection | brand |
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Complete list of extractable fields for Technical Specifications objects from jaquar.com. All fields typed and schema-versioned.
"sku": "LST-WHT-12W", "power_consumption": "12W", "color_temperature": "6500K", "ip_rating": "IP20", "material": "Polycarbonate", "dimensions": "120x120x45mm", "mounting_type": "Surface Mount"
| # | sku | material | dimensions | weight | operating_pressure | flow_rate |
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Complete list of extractable fields for Variants & Finishes objects from jaquar.com. All fields typed and schema-versioned.
"sku": "FLR-ABR-5001BP", "base_sku": "FLR-5001BP", "finish_name": "Antique Bronze", "finish_code": "ABR", "mrp": 5100.0, "stock_status": "Available", "lead_time": "7-10 Days"
| # | sku | base_sku | finish_name | finish_code | mrp | stock_status |
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Complete list of extractable fields for Dealer Locator objects from jaquar.com. All fields typed and schema-versioned.
"dealer_id": "DLR-8492", "name": "Apex Bath Concepts", "type": "Orientation Centre", "city": "Bengaluru", "pincode": "560001", "latitude": 12.9716, "longitude": 77.5946, "brands_carried": "['Jaquar', 'Artize']"
| # | dealer_id | name | type | address | city | state |
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Complete list of extractable fields for Document Links objects from jaquar.com. All fields typed and schema-versioned.
"sku": "FLR-CHR-5001BP", "document_type": "Technical Drawing", "title": "Dimensional Sketch", "file_url": "https://jaquar.com/assets/docs/FLR-5001BP.pdf", "file_size": "1.2MB", "language": "English", "scrape_timestamp": "2023-10-14T08:12:00Z"
| # | sku | document_type | title | file_url | file_size | language |
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Our Jaquar scraper parses complex category trees, variant matrices, and unstructured technical specification tables into clean, relational datasets.
Extract SKUs, categories, and collections across Jaquar, Artize, and Essco brands with full hierarchical mapping.
Extract flow rates, operating pressures, dimensions, and material compositions from unstructured HTML tables.
Capture wattage, lumens, colour temperature, and IP ratings for commercial and residential lighting products.
Map base SKUs to specific finish codes like Chrome, Antique Bronze, or Matte Black with respective pricing.
Extract authorised dealers, orientation centres, and service centres with full address and geodata.
Capture URLs for technical drawings, installation guides, and CAD files associated with specific SKUs.
Monitor MRP changes across product lines and variant finishes to track inflation and pricing strategy.
Extract 'Frequently bought together' and compatible accessory relationships to build product graphs.
Run weekly or monthly syncs to detect new product launches, discontinued SKUs, or specification updates.
Brief in. Clean data out.
Specify target categories (e.g., Faucets, LED Lighting), brands (Artize, Essco), or dealer regions.
We configure Scrapy / Playwright crawlers to handle Jaquar's frontend routing and pagination.
Schema validation, unit normalisation (e.g., standardising mm vs cm), and null-rate checks.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage.
Extracting data from B2B manufacturer sites requires handling inconsistent schemas, missing data, and dynamic JavaScript rendering.
Jaquar's product listing pages and dealer locators rely on client-side rendering. We deploy Playwright to execute JavaScript, wait for API hydration, and extract the raw JSON state directly from the browser context.
Technical specifications vary wildly between faucets and lighting. Our pipeline uses heuristic parsing to map inconsistent HTML tables into a strict, normalised JSON schema, converting varied units into a standard format.
Manufacturer sites often suffer from link rot. We validate all extracted technical document URLs via HEAD requests to ensure you do not ingest 404 links into your database.
A single faucet design can have 12 different finishes, each with a distinct SKU suffix and MRP. We simulate variant selection clicks to build a complete parent-child product matrix.
When Jaquar updates its site layout or introduces a new product category, our Prometheus alerts detect selector failures immediately, triggering an engineering review before your pipeline fails.
Sanitaryware and lighting manufacturers track Jaquar's SKU count, finish options, and MRPs to position their own product lines.
Construction firms and large-scale developers ingest technical specs to automate tender compliance and bill of materials generation.
Design platforms populate their 3D planning tools using Jaquar's dimensional data and CAD links.
Analysts track the expansion of Jaquar's orientation centres and dealer networks to gauge regional market penetration.
Distributors monitor MRP adjustments across the Artize, Jaquar, and Essco brands to forecast trade margin shifts.
eCommerce retailers sync Jaquar's latest SKUs, descriptions, and high-resolution images directly into their PIM systems.
"Manufacturer catalogues are notoriously difficult to parse. Jaquar's data dictates industry pricing and specs, but only if you can extract it cleanly."
Extracting data from Jaquar requires traversing complex category trees, normalising inconsistent technical specification tables, and resolving intricate SKU variant matrices. DataFlirt handles the extraction, normalisation, and delivery, providing you with a clean, relational dataset ready for immediate analysis.
Everything supported by our jaquar.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 manages the crawl frontier and deduplication, while Playwright handles JavaScript execution for dynamic product grids and dealer locators.
Custom Python pipelines parse inconsistent HTML specification tables, standardising units and mapping them to a strict relational schema.
Airflow schedules weekly or monthly catalogue syncs, running on AWS ECS with automated retries and schema validation alerts.
Data delivered to where your team already works — no new tooling required.
About jaquar.com scraping, legality, and pipeline operations.
Ask us directly →Yes. Our pipeline covers the main Jaquar brand, the luxury Artize segment, and the value-oriented Essco brand, maintaining the correct hierarchy in the output data.
We extract the raw HTML specification tables and pass them through a normalisation layer. This maps diverse keys (e.g., 'Operating Pressure', 'Water Pressure') to a standard schema and standardises units.
Yes. We capture URLs for CAD files, dimensional sketches, and installation guides associated with each SKU, and validate the links to ensure they return a 200 OK status.
Yes. By configuring a scheduled pipeline (e.g., weekly), we capture timestamped snapshots of the catalogue. You can calculate diffs to identify MRP adjustments across product lines.
Yes. We extract the complete list of orientation centres, authorised dealers, and service centres, including address strings, contact details, and precise latitude/longitude coordinates.
For manufacturer catalogues like Jaquar, clients typically opt for weekly or monthly syncs. We can configure the Airflow schedule to match your internal data ingestion requirements.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off dump of the lighting catalogue or a continuous sync of bath fitting MRPs, we manage the infrastructure. Tell us your requirements.
