We extract plumbing, HVAC, and industrial supply listings, branch inventory, and technical specifications from Ferguson. 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 ferguson.com. All fields typed and schema-versioned.
"sku": "PRO123456", "title": "Proflo 2-Inch PVC DWV Hub x Hub x Hub Sanitary Tee", "brand": "Proflo", "manufacturer_part_number": "PF40020", "guest_price": 4.85, "unit_of_measure": "EA", "currency": "USD"
| # | sku | title | brand | manufacturer_part_number | upc | category |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Technical Specs objects from ferguson.com. All fields typed and schema-versioned.
"sku": "PRO123456", "material": "PVC", "connection_type": "Hub", "dimensions": "2 in", "weight": "0.45 lbs", "certifications": "['ASTM D-2665', 'NSF-dwv']"
| # | sku | material | finish | connection_type | dimensions | weight |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Branch Inventory objects from ferguson.com. All fields typed and schema-versioned.
"sku": "PRO123456", "branch_id": "BR_0492", "branch_name": "Ferguson Plumbing Supply Austin", "zip_code": "78758", "in_stock": true, "stock_quantity": 142, "pickup_available": true
| # | sku | branch_id | branch_name | address | zip_code | distance_miles |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Documents & Media objects from ferguson.com. All fields typed and schema-versioned.
"sku": "PRO123456", "main_image_url": "https://img.ferguson.com/...", "spec_sheet_pdf": "https://docs.ferguson.com/spec_pf40020.pdf", "install_guide_pdf": "None", "warranty_pdf": "https://docs.ferguson.com/warranty_proflo.pdf", "sds_pdf": "None"
| # | sku | main_image_url | gallery_images | spec_sheet_pdf | install_guide_pdf | warranty_pdf |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Category Taxonomy objects from ferguson.com. All fields typed and schema-versioned.
"category_id": "cat_pipe_fittings", "category_name": "Pipe Fittings", "parent_id": "cat_plumbing", "breadcrumb_path": "Plumbing > Pipe & Fittings > Pipe Fittings", "product_count": 48291, "scraped_at": "2026-05-12T09:14:00Z"
| # | category_id | category_name | parent_id | breadcrumb_path | url | product_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Ferguson's catalogue is deeply nested with complex technical attributes and location-based inventory. Our pipeline handles the heavy lifting of branch simulation, PDF link extraction, and attribute normalisation.
Extract SKUs, titles, and technical data across plumbing, HVAC, waterworks, and industrial categories.
Simulate branch selection via cookies to extract local availability, stock quantities, and pickup lead times.
Capture Manufacturer Part Numbers and UPCs to cross-reference Ferguson listings with your internal PIM.
Extract structured key-value pairs from specification tables, including dimensions, materials, and compliance standards.
Collect direct URLs for specification sheets, installation guides, SDS documents, and warranty PDFs.
Capture Unit of Measure data (Each, Case, Pallet) and pack sizes to normalise pricing comparisons.
Map the entire Ferguson taxonomy to maintain category hierarchy and breadcrumb trails for every SKU.
Extract alternative SKUs and superseded part numbers linked within product detail pages.
Run pipelines daily or weekly, receiving only records that have changed since the last execution.
Brief in. Clean data out.
Provide Ferguson category URLs, search terms, or brand names. We design the extraction schema together.
We configure crawlers, proxy rotation, branch-location cookies, and attribute parsing logic for ferguson.com.
Schema validation, null-rate checks, and sample data reviews before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting B2B industrial data requires handling location-specific states and highly variable product schemas.
Ferguson inventory and pricing vary by local branch. Our crawlers manage stateful sessions, injecting specific zip codes and branch IDs to extract accurate local data across multiple geographic targets simultaneously.
A water heater has different specifications than a PVC pipe. We use dynamic key-value extraction to parse the technical specification tables, mapping highly variable attributes into a clean JSON structure.
Ferguson categories contain tens of thousands of SKUs. We implement resilient pagination logic that handles infinite scroll and dynamic loading without missing items or duplicating records.
We route requests through US-based residential proxies to distribute traffic naturally, avoiding IP bans and rate limits while maintaining high extraction throughput.
Re-scraping millions of SKUs daily is inefficient. We hash record states and deliver delta files containing only new products, price changes, or inventory updates.
Distributors track Ferguson's guest pricing across specific categories to optimise their own pricing strategies.
Retailers and wholesalers extract MPNs, UPCs, and technical specifications to enrich their internal Product Information Management systems.
Procurement teams monitor branch-level stock quantities to identify regional shortages of critical MRO supplies.
Manufacturers analyse category breadth, brand representation, and new product introductions within Ferguson's catalogue.
Data teams build master cross-reference tables linking manufacturer part numbers to distributor SKUs.
B2B distributors compare their own product offerings against Ferguson's taxonomy to identify missing categories.
"Ferguson holds one of the most comprehensive MRO catalogues online. Extracting their technical specifications and MPN mappings is critical for any serious industrial distributor."
B2B catalogue scraping requires more than simple HTTP requests. You must manage complex category trees, variable specification tables, and location-dependent inventory states. DataFlirt provides the managed infrastructure to deliver clean, structured MRO data without the engineering overhead.
Everything supported by our ferguson.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 orchestrates high-concurrency requests across Ferguson's massive category trees, handling retries and deduplication automatically.
Redis clusters manage session cookies and branch-location states, ensuring crawlers receive the correct regional inventory data.
Post-processing pipelines standardise units of measure, clean technical text, and structure dynamic attributes before delivery.
Data delivered to where your team already works — no new tooling required.
About ferguson.com scraping, legality, and pipeline operations.
Ask us directly →Yes. We configure pipelines to simulate different branch locations by injecting specific zip codes or branch IDs, allowing you to track inventory across multiple regions in a single run.
No. We only extract publicly available guest pricing. PRO pricing requires authenticated access and violates our policy against scraping behind login walls.
We use dynamic key-value extraction. Instead of a rigid schema that breaks when a new attribute appears, we parse the specification tables and output them as nested JSON objects, preserving all product-specific data.
By default, we extract the direct URLs to the PDF documents (spec sheets, manuals, SDS). If you require the actual files downloaded and hosted in your S3 bucket, this can be configured as a custom pipeline step.
Inventory and pricing pipelines typically run daily or weekly. Full catalogue refreshes are usually scheduled weekly or monthly due to the volume of SKUs.
Yes. MPNs and UPCs are extracted wherever they are displayed on the product detail page, allowing you to build cross-reference tables between Ferguson and the original manufacturers.
20-minute scoping call. Pilot dataset within the week. Production within two. Need technical specifications for 100,000 SKUs or daily inventory checks across 50 branches? We build and operate the infrastructure. Contact us to define your schema.
