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Generate Restaurant Schema from Dining Databases

✓ Tested Works with CSV, Excel, Google Sheets → JSON-LD Schema
By dataclean.to team · 2026-02-05

Restaurant directories contain dining establishment data with cuisine types, price ranges, operating hours, and menu information. Restaurant schema enables local search features with reservations, menus, and ratings. Structured restaurant data improves visibility in food searches and location-based dining queries.

The Problem

Restaurant databases store cuisine categories inconsistently and mix delivery versus dine-in offerings without clear service type indication. Price range indicators vary by source and operating hours may be outdated. Without Restaurant schema markup, establishments cannot appear in dining-specific search features or display reservation options, reducing discoverability for potential customers seeking dining options. Schema.org Restaurant

How to Fix It

1
Extract Restaurant Core Information
Parse restaurant name, address, phone, and website. Extract cuisine types (Italian, Mexican, Asian fusion). Identify service types: dine-in, takeout, delivery. Map to servesCuisine and serviceType properties.
2
Structure Operating Information
Parse business hours for different days of the week. Handle special hours for holidays. Map to openingHoursSpecification with day ranges and time periods. Include reservation requirements if applicable.
3
Parse Price and Payment Information
Extract price range indicators ($ to $$$$) or average meal costs. Identify accepted payment methods. Map to priceRange and paymentAccepted properties. Include dress code or dining atmosphere descriptions.
4
Link Menu Information
Extract or reference menu data. Link to Menu schema with hasMenu property or include menu URL. Map featured dishes or specialties to hasMenuItem with MenuItem objects.
5
Generate Restaurant Schema JSON-LD
Output Restaurant schema with required name, address, and telephone fields. Include servesCuisine, priceRange, openingHoursSpecification, hasMenu, and aggregateRating for reviews. Add acceptsReservations boolean when applicable.

Frequently Asked Questions

What cuisine values are valid for servesCuisine property?
Use cuisine names as text strings: "Italian", "Mexican", "Chinese", "Mediterranean", etc. Multiple cuisines can be included as an array. Be specific when possible ("Northern Italian" vs just "Italian").
How should restaurant price range be represented in schema?
Use the priceRange property with text values like "$", "$$", "$$$", or "$$$$" following common restaurant rating conventions. Alternatively, use actual currency amounts like "$10-$25" to indicate average meal costs.
Can Restaurant schema include reservation and waitlist features?
Yes, set acceptsReservations to true if reservations are available. Use potentialAction with ReserveAction to link to reservation systems. Include URL to reservation page and optionally scheduling parameters.

Example: Input → Output

namecuisineaddressphonehours
La Bella ItaliaItalian456 Oak Ave Chicago(312) 555-0100Mon-Sun 11am-10pm
la bella italiaitalian456 oak avechicago il(312)555-0100daily 11-22

Red rows show common data quality issues. dataclean.to normalizes and generates JSON-LD automatically.

{
  "@context": "https://schema.org",
  "@type": "Restaurant",
  "name": "La Bella Italia",
  "servesCuisine": "Italian",
  "address": {"@type": "PostalAddress", "streetAddress": "456 Oak Ave", "addressLocality": "Chicago"},
  "telephone": "+13125550100"
}
💡 How it works: Restaurant schema enables rich results with cuisine type, hours, and reviews in local search.

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