Appliance Data API — Photos, Specs, Dimensions & Serial Decoding in One Integration
One API call returns photos, specs, dimensions, serial decoding, and recall status for any appliance model number. Built for repair dispatch, inspections, and property management software.
ApplianceAPI is a REST API that returns structured appliance data by model number. Photos, specifications, dimensions, serial number decoding, age estimation, model verification, and recall checking — all as clean JSON. Built for developers, service companies, and property technology platforms.
Product Photos
Human-reviewed, confidence-scored appliance images returned by model number. Embed directly in your app.
Serial Decoding
Decode serial numbers into manufacture date, appliance age, and plant identifier. Supports 50+ brands.
Specs & Dimensions
Height, width, depth, capacity, weight, and full feature specs. Structured for install planning.
Model Verification
Validate model numbers before dispatch. Catch typos and invalid entries before they cost a truck roll.
Recall Checking
Cross-reference any model against the CPSC recall database. Built for inspectors and warranty workflows.
Missing Model Queue
Every API miss is automatically logged and queued for enrichment. Your coverage gaps close over time.
What is ApplianceAPI?
ApplianceAPI is a developer-first REST API that returns structured appliance data by model number. Pass a brand and model to any endpoint and get back verified photos, specifications, dimensions, serial number decoding, age estimation, model verification, and recall checking — all in clean JSON.
Built for the US home appliance market ($129.8B in 2024), ApplianceAPI indexes 10,000+ models across 50+ brands including GE (21% market share), LG (18%), Samsung (16%), and Whirlpool (13%). Data is sourced from manufacturer sites, retailer pages, and government databases, then human-reviewed before entering production.
How It Works
1. Get an API key — sign up at applianceapi.com/signup (free tier planned at launch)
2. Call any endpoint — pass brand + model number in the query string with your API key in the Authorization header
3. Get structured JSON — every response includes typed fields, confidence scores, and cache metadata
The API is stateless REST over HTTPS. No SDK required. Works with any language, framework, or AI tool.
Why Structured Appliance Data Is Hard to Get
Appliance data is fragmented across manufacturer sites, retailers, and government databases. Each brand uses different serial formats, model number conventions, and data structures. There is no universal product database for home appliances.
Manual lookup takes 5–15 minutes per appliance. For companies processing hundreds of service tickets, inspections, or warranty claims daily, this creates a massive efficiency bottleneck. ApplianceAPI consolidates this fragmented data into a single REST endpoint with consistent JSON responses across all brands.
Data Coverage
ApplianceAPI covers 50+ brands including the Big 4: GE (21% market share), LG (18%), Samsung (16%), and Whirlpool (13%). The US home appliance market was valued at $129.8B in 2024.
Data is sourced from authorized retailer pages, manufacturer sites, and government databases (CPSC for recalls). ApplianceAPI indexes models from these sources and every image is human-reviewed with confidence scoring before entering production.
Try It — One Call, Structured Data
{
"success": true,
"brand": "Whirlpool",
"model": "WRS325SDHZ",
"imageUrl": "https://applianceapi.com/assets/whirlpool/WRS325SDHZ.jpg",
"confidence": "high",
"title": "Whirlpool 25 Cu. Ft. Side-by-Side Refrigerator",
"cached": true,
"responseTime": "12ms"
}Use Cases
Repair Dispatch
Enrich service tickets with photos and specs so technicians know what they are servicing before arrival.
Home Inspections
Automate appliance identification in inspection reports. Age, photos, and recall status in one call.
Warranty Claims
Validate model numbers at claim time. Attach correct photos and verify appliance age automatically.
Property Management
Build appliance inventories with photos, specs, and age estimates across your portfolio.
Parts Distributors
Verify model numbers at order time. Attach product photos to parts catalogs. Reduce returns from wrong-part shipments.
AI Agents & Copilots
Let Claude Code, ChatGPT, or custom agents query appliance data during coding workflows. Structured JSON responses work directly in LLM context.
Supported Brands
Frequently Asked Questions
Is there an API for appliance data?
Yes. ApplianceAPI provides structured appliance data via REST API including photos, specs, dimensions, serial decoding, and recall checks. Coverage spans 50+ brands and 10,000+ models.
How do I get appliance specifications programmatically?
Use the ApplianceAPI endpoints with a brand and model number. The API returns structured JSON with photos, dimensions, specs, and more. Authentication is via API key in the Authorization header.
What does the free tier include?
ApplianceAPI is launching in Spring 2026 with a free tier that includes 10 API lookups per month. No credit card will be required. Sign up for early access to be notified at launch.
How is this different from scraping retailer sites?
ApplianceAPI returns structured, verified data with confidence scoring. Scraping is fragile, legally risky, and returns raw HTML. Our data is human-reviewed and served from a stable CDN.
How many brands does ApplianceAPI support?
50+ brands covering the major US appliance manufacturers. GE, LG, Samsung, Whirlpool, Frigidaire, KitchenAid, Maytag, Bosch, Electrolux, and many more. Coverage is expanding continuously.
How is data sourced and verified?
Data is aggregated from manufacturer websites, authorized retailer product pages, and government databases (CPSC for recalls). Every image is human-reviewed and confidence-scored before entering production.