We extract equipment specifications, wholesale pricing, freight shipping details, and manufacturer documents from RestaurantSupply.com. Delivered as clean JSON, CSV, or Parquet.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Equipment Listings objects from restaurantsupply.com. All fields typed and schema-versioned.
"sku": "RS-10492", "mpn": "T-49-HC", "name": "True T-49-HC 54" Solid Door Reach-In Refrigerator", "brand": "True Refrigeration", "category": "Refrigeration > Reach-In Refrigerators", "price": 4250.0, "list_price": 5100.0, "in_stock": true, "nsf_certified": true
| # | sku | mpn | name | brand | category | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Pricing & Freight objects from restaurantsupply.com. All fields typed and schema-versioned.
"sku": "RS-10492", "price": 4250.0, "free_shipping_eligible": true, "freight_class": "110", "estimated_lead_time": "1-3 Business Days", "map_pricing": true, "clearance_status": false, "quick_ship": true
| # | sku | price | bulk_pricing_tiers | free_shipping_eligible | freight_class | estimated_lead_time |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Specs & Documents objects from restaurantsupply.com. All fields typed and schema-versioned.
"sku": "RS-10492", "voltage": "115V", "phase": "1 Phase", "horsepower": "1/2 HP", "spec_sheet_url": "https://restaurantsupply.com/media/pdfs/true-t-49-hc-spec.pdf", "compliance_badges": "['UL', 'NSF', 'Energy Star']", "capacity": "49 cu. ft."
| # | sku | voltage | wattage | phase | horsepower | spec_sheet_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Reviews objects from restaurantsupply.com. All fields typed and schema-versioned.
"review_id": "REV-99281", "sku": "RS-10492", "reviewer_name": "Chef Marco", "rating": 5, "date": "2025-11-12", "title": "Reliable workhorse", "body": "Holds temp perfectly even during busy dinner service. Plenty of space.", "verified_buyer": true
| # | review_id | sku | reviewer_name | rating | date | title |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Brands & Categories objects from restaurantsupply.com. All fields typed and schema-versioned.
"brand_name": "True Refrigeration", "category_path": "Brands > True Refrigeration", "total_products": 412, "active_promotions": "['Free Freight Shipping']", "brand_url": "https://restaurantsupply.com/true-refrigeration", "manufacturer_prefix": "TRU", "top_seller_skus": "['RS-10492', 'RS-10493']"
| # | brand_name | category_path | sub_category | total_products | active_promotions | brand_url |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our scraper handles the complex hierarchy of restaurant equipment: highly variable technical specification tables, PDF document extraction, freight classification, and dynamic wholesale pricing.
Extract SKUs, Manufacturer Part Numbers (MPNs), titles, descriptions, and high-resolution image URLs across all categories.
Capture current price, list price, MAP pricing flags, clearance status, and bulk discount tiers.
Extract URLs for manufacturer spec sheets, installation manuals, and warranty PDFs directly from product pages.
Capture freight class, free shipping eligibility, Quick Ship status, and estimated factory lead times.
Extract certification badges including NSF, UL, CSA, and Energy Star ratings for regulatory compliance.
Parse variable specification tables to extract voltage, wattage, phase, dimensions, weight, and capacity.
Monitor inventory status, backorder notices, and discontinued item flags.
Map deep nested category structures to maintain relationships between parent categories and specific equipment types.
Run daily or weekly pipelines that output only changed records for pricing and stock updates.
Brief in. Clean data out.
Provide specific brands, categories, or a full catalogue extraction mandate. We design the schema.
We configure Scrapy crawlers, handle proxy rotation, and write parsers for variable specification tables.
Schema validation, null-rate checks on technical specs, and document URL verification before launch.
JSON, CSV, or Parquet pushed to your S3 bucket or data warehouse on your required cadence.
Commercial equipment sites use highly variable templates and complex shipping logic. Here is how we ensure data consistency.
A commercial oven has different specifications than a reach-in freezer. Our parsers use heuristic mapping to standardise variable HTML tables into consistent JSON keys across the entire equipment catalogue.
Spec sheets and manuals are critical for B2B buyers. We extract and validate direct URLs to manufacturer PDFs, ensuring your product information management (PIM) system has the required documentation.
We utilise US-based residential proxies to distribute requests and prevent IP bans during high-volume full-catalogue extraction runs.
We capture freight class and lead time indicators embedded within the DOM, standardising shipping data that dictates total procurement costs.
For ongoing monitoring, we hash product records and only deliver records where price, stock status, or lead times have changed since the previous run.
Equipment dealers track wholesale pricing and discount tiers to adjust their own pricing strategies.
Distributors extract technical specifications and PDF manuals to populate their internal Product Information Management systems.
Restaurant groups monitor equipment costs and lead times to optimise capital expenditure planning.
Manufacturers monitor product listings to ensure advertised prices comply with Minimum Advertised Price agreements.
Analysts track category expansion and brand representation within the commercial kitchen supply sector.
Supply chain teams monitor stock status and factory lead times to predict equipment availability.
"RestaurantSupply.com holds the definitive metadata for commercial kitchen equipment, but standardising thousands of variable spec sheets requires dedicated infrastructure."
Extracting B2B equipment data involves parsing highly variable technical tables, downloading manufacturer PDFs, and navigating complex category taxonomies. DataFlirt handles the proxy rotation, schema mapping, and document extraction so your team can focus on procurement analytics.
Everything supported by our restaurantsupply.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, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
Pipelines run on AWS Lambda (burst) and ECS (sustained). 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 restaurantsupply.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available pricing and product information is generally permissible under applicable law. DataFlirt extracts only public, non-authenticated catalogue data. We do not attempt to bypass authentication for account-specific pricing.
Yes. We extract the direct URLs to manufacturer PDF spec sheets, installation manuals, and warranty documents linked on the product pages.
Commercial equipment varies wildly in specifications. We use heuristic parsers that map variable HTML table rows into standard JSON keys, ensuring a uniform schema across different equipment categories.
Yes. We extract freight class, free shipping eligibility, Quick Ship flags, and estimated factory lead times displayed on the product listings.
We can configure pipelines to run daily or weekly. For specific high-priority SKUs, we can configure sub-hourly price monitoring pipelines.
Yes. We can scope the extraction to specific brand URLs, category paths, or a provided list of Manufacturer Part Numbers (MPNs).
We extract the inventory status exactly as displayed, capturing out-of-stock flags, backorder notices, and discontinued item markers.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue dump or continuous price monitoring across thousands of SKUs, we build and operate the pipeline. Tell us what you need.
