GET /restaurant/menu

GET /dish/search

GET /restaurant/intelligence

Now ingesting 12M+ restaurant menus worldwide

AI Data Infrastructure
for Restaurants

MenuClaw transforms billions of unstructured restaurant menus into structured, AI-readable data — powering the next generation of AI assistants, search engines, POS systems, and food platforms.

Request API Access Explore Restaurant Graph

MENUS INDEXED

DATA POINTS

180+

COUNTRIES

99.99%

API UPTIME

01The Problem

AI cannot understand restaurants yet.

The world's food data is the most fragmented data on the internet. AI is ready to help people eat — but it has nothing structured to read.

PROBLEM 01

Restaurants exist everywhere. Data is fragmented.

A single restaurant's menu is scattered across PDFs, photos, websites, delivery apps and POS systems — each in a different format, language and schema.

PDFsImagesWebsitesDelivery platformsPOS systems

PROBLEM 02

Menus are designed for humans. AI needs structure.

Menus are crafted for eyeballs and appetites — not machines. Dishes hide their ingredients, portions are implicit, nutrition is invisible. AI models starve on this.

UnstructuredAmbiguousUnlabelledPer-location

PROBLEM 03

Every food AI application needs restaurant intelligence.

AI assistants, search engines, ordering platforms and analytics all need the same thing: clean, connected, queryable data about restaurants, dishes, ingredients and prices.

AI assistantsAI searchFood agentsAnalytics

Before MenuClaw — Raw Data Chaos

s3://menus/scan_0912.png · menu_old.pdf · scrape_4421.html

After MenuClaw — Structured Restaurant Graph

02The Product

Restaurant Intelligence Layer

One infrastructure layer that turns the fragmented world of food into a queryable, connected, AI-ready system of record.

Menu Understanding Engine

AI agents extract clean, structured menu data from websites, PDFs, images, and delivery platforms — at global scale, in any language.

Learn more

Restaurant Knowledge Graph

A global semantic graph connecting restaurants, dishes, ingredients, cuisines, allergens and attributes — millions of entities, one queryable web.

Explore graph

Restaurant Data API

Developer-first REST APIs built for AI applications. Query dishes, menus, ingredients and nutrition with one predictable interface.

Read the docs

Food Intelligence Dataset

Enterprise-grade datasets purpose-built for training and fine-tuning food-aware AI models — clean, licensed, continuously refreshed.

Explore datasets

03Knowledge Graph

One graph. Every restaurant, dish and ingredient.

A living semantic web where Tokyo Ramen Shop connects to Tonkotsu Ramen, connects to pork bone broth, connects to Japanese cuisine. Hover to explore.

Restaurant Menu Dish Ingredient Nutrition

Entity resolution at scale

"Spicy pork ramen" and "Tonkotsu Ramen Spicy" resolve to the same dish across 40 languages and every menu format.

Relationships that think

Dishes know their ingredients. Cuisines know their dishes. Allergens propagate. Prices track by location and time.

Always current

Every day the graph ingests millions of menu changes so your applications never serve stale food data.

04API Platform

Built for developers.

One predictable REST API. Query any restaurant, dish, ingredient or nutritional fact in the graph with a single call.

GET/restaurant/{id}

GET/restaurant/menu

POST/dish/search

GET/restaurant/intelligence

GET/dish/{id}/nutrition

GET /restaurant/{id} · Tokyo Ramen

// Restaurant Intelligence API
{
  "restaurant": "Tokyo Ramen",
  "cuisine": "Japanese",
  "dishes": [
    {
      "name": "Tonkotsu Ramen",
      "ingredients": ["pork", "egg", "noodles"],
      "calories": 720,
      "allergens": ["egg", "gluten"]
    }
  ]
}
          

// Query a full menu, structured
GET /restaurant/menu?lat=35.67&lon=139.70

{
  "menu": [
    { "section": "Ramen", "items": 14 },
    { "section": "Toppings", "items": 22 }
  ],
  "last_seen": "2026-08-26T14:02:11Z"
}
          

// Semantic dish search
POST /dish/search
{ "query": "spicy pork ramen near Shibuya" }

{
  "matches": [
    { "dish": "Karai Tonkotsu Ramen",
      "score": 0.97, "restaurant": "Tokyo Ramen" }
  ]
}
          

// Restaurant intelligence profile
GET /restaurant/intelligence?restaurant_id=R-8841

{
  "peak_hours": [12, 19],
  "price_index": 0.84,
  "top_dishes": ["Tonkotsu Ramen", "Gyoza"]
}
          

// Nutrition facts, structured
GET /dish/1137/nutrition

{
  "dish": "Tonkotsu Ramen",
  "calories": 720, "protein_g": 34,
  "carbs_g": 82, "fat_g": 28,
  "labels": ["high-protein", "contains-gluten"]
}
          

Python JavaScript REST API SDKs, playground & webhooks — explore the developer platform

05Ecosystem

Built for the AI Food Ecosystem

Every layer of the food industry is becoming intelligent. MenuClaw is the data foundation they build on.

AI Companies

AI assistants
AI search
Food agents
Recommendation engines

POS Platforms

Restaurant operating systems
Order & inventory
Menu analytics
Kitchen intelligence

Delivery Platforms

Food marketplaces
Search & discovery
Menu syndication
Dynamic pricing

Restaurant SaaS

CRM
Ordering
Analytics
Marketing

06The Loop

The Restaurant Data Flywheel

Every restaurant we index makes the graph smarter. Every smart API makes our customers stronger. Every customer brings more data. The loop compounds.

07Why MenuClaw

The missing intelligence layer

The industry built intelligence for locations, transactions and operations. Nobody built intelligence for food itself. We did.

Platform	Intelligence	Dishes & ingredients	AI-ready data
Google MapsLocation	Location intelligence	Limited	—
Delivery PlatformsTransactions	Transaction intelligence	Per-platform	Partial
POS SystemsOperations	Operational intelligence	Closed	—
MenuClawFood	Restaurant intelligence	Global graph	Native

AI Data Infrastructurefor Restaurants