Generate MenuItem Schema from Menu Databases

✓ Tested Works with CSV, Excel, Google Sheets → JSON-LD Schema

By dataclean.to team · 2026-02-05

Restaurant menu databases contain dish names, descriptions, pricing, ingredients, and dietary attributes. MenuItem schema enables structured menu display in search results and restaurant aggregators. Properly marked up menu data improves discoverability for specific dishes and dietary preferences.

The Problem

Menu databases store pricing in inconsistent formats and dietary information as unstructured text tags. Allergen warnings may be incomplete and nutritional data absent. Without MenuItem schema markup, search engines cannot display menu items in restaurant results or filter by dietary restrictions, reducing visibility for customers searching for specific cuisines or dietary options. Schema.org MenuItem

How to Fix It

Extract Menu Item Core Data

Parse dish names, descriptions, and menu sections. Extract portion sizes, serving suggestions, and preparation methods from description text or separate fields.

Structure Pricing Information

Convert prices to standardized format with currency code. Handle price variations for different sizes or customization options. Map to offers property with Offer objects including price and priceCurrency.

Parse Dietary and Allergen Information

Identify dietary suitability (vegetarian, vegan, gluten-free, halal, kosher). Extract allergen warnings (nuts, dairy, shellfish). Map to suitableForDiet and allergens properties using MedicalCode or text values.

Extract Nutritional Data

Parse calorie counts, macronutrients, and other nutritional values when available. Map to nutrition property with NutritionInformation object including calories, protein, fat, and carbohydrates.

Generate MenuItem Schema JSON-LD

Output MenuItem schema with required name field. Include description, offers for pricing, suitableForDiet for dietary info, and optional image, nutrition, and allergens properties for complete menu representation.

Frequently Asked Questions

Should each menu item have its own schema or group items under Menu schema?

Use Menu schema as a container with hasMenuItem or hasMenuSection properties that reference individual MenuItem objects. This preserves menu structure and item relationships while providing granular item-level data.

How do I represent menu items with multiple size or customization options?

Use multiple Offer objects within the offers property, each with different prices and optional names or descriptions indicating the variation (small, medium, large, or specific customizations).

What dietary restriction values are valid for suitableForDiet property?

Use RestrictedDiet enumeration values: DiabeticDiet, GlutenFreeDiet, HalalDiet, HinduDiet, KosherDiet, LowCalorieDiet, LowFatDiet, LowLactoseDiet, LowSaltDiet, VeganDiet, VegetarianDiet. Multiple values can be included as an array.

Example: Input → Output

name	cuisine	address	phone	hours
La Bella Italia	Italian	456 Oak Ave Chicago	(312) 555-0100	Mon-Sun 11am-10pm
la bella italia	italian	456 oak ave	chicago il	(312)555-0100	daily 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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