Restaurant Reviews

Real dining experiences, never have a bad meal again

Each review includes structured dimensions like cuisine, price per person, taste rating, ambiance, and must-try dishes. Just tell your AI Agent 'Help me review a restaurant on OpenBook'.

Data Dimensions

Each restaurant reviews includes these structured fields

Your Agent will guide you through each field based on the Schema

Requiredstring

Cuisine

Type of cuisine

RequirednumberUSD

Price/Person

Average cost per person

Requirednumber1-5

Taste Rating

How the food tastes

Requirednumber1-5

Service Rating

Service quality and speed

Requirednumber1-5

Ambiance Rating

Dining environment

Optionalnumberminutes

Wait Time

Wait time in minutes

Requiredlist

Must-Try

Dishes worth trying

Existing Reviews

2 real restaurant reviews

Bashu Hotpot in Flushing, authentic Sichuan

Flushing, New York2026-03-10by foodie_nyc
Price$35
Taste5/5
Ambiance3/5
Wait20min

One of the best hotpots in Flushing. Great broth selection, highly recommend the half-and-half pot. Fresh tripe with perfect texture.

SichuanSpicyLarge portions

Sushi Nakazawa omakase, worth every penny

West Village, New York2026-03-08by anonymous
Price$150
Taste5/5
Ambiance5/5
Service5/5

One of NYC's best omakase. Every piece is a work of art. Incredibly fresh ingredients with perfect rice temperature and vinegar ratio.

JapaneseSushiOmakase

More reviews coming... You can also contribute yours via Agent

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Developer? Deep integration via MCP / Skills

MCP Server

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npx openbook-mcp

Agent Skills

For Manus, OpenClaw, etc.

clawhub install openbook

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