Restaurant Menu Dataset – Structured Menu Items

Looking for a high-quality and structured restaurant menu dataset? This restaurant menu dataset captures menu items from thousands of eateries worldwide, including food items, pricing, ingredients, cuisine categories, calories, availability, and add-on information. The purpose-built dataset is designed to fuel market research, product development, and analytics-driven decision making. It provides a solid foundation for competitive intelligence, menu engineering, pricing strategy, and enhanced user experiences in food-related platforms.

 

What you gain with this restaurant menu dataset is a consistent, richly tagged catalog of menu data that you can trust, reuse, and scale. Whether you’re building a new food delivery experience, optimizing your existing catalog, or training internal analytics models (without delving into AI concepts), this dataset offers a reliable, structured approach to menu data at a global scale.
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What’s Included in the Restaurant Menu Dataset

This section enumerates the core data elements you receive, all designed to be immediately actionable for your business processes and analytics workflows.

Restaurant name, address & geo-location

  • Restaurant name and official address
  • Precise geolocation coordinates (latitude/longitude)
  • Neighborhood, city, state/province, country
  • Venue type (standalone restaurant, chain, kiosk, food hall, etc.)

Menu item name & description

  • Item-level naming conventions aligned with the menu
  • Rich item descriptions to support search relevance and context

Price, addons & size variations

  • Base price per item
  • Add-ons (ingredients, upgrades, toppings) and their pricing
  • Size variations (e.g., small/regular/large, half portions)
  • Price-effective dates and currency metadata

Cuisine type & dietary flags (veg/non-veg, vegan)

  • Cuisine taxonomy (e.g., Italian, Thai, Mexican, Indian, fusion)
  • Dietary flags: veg, non-veg, vegan, gluten-free, dairy-free, nut-free, etc.
  • Custom dietary tags for region-specific needs

Calories, ingredients & allergen tags

  • Calorie information per item or per size
  • Ingredient list with standardized terminology
  • Allergen tags (e.g., dairy, egg, soy, crustacean, gluten)

Availability & lifecycle data

  • Seasonal availability, holiday exceptions, and temporary removals
  • Launch or retired dates for menu items

Updated weekly

  • Regular weekly refresh to reflect changes in menus, pricing, and availability
  • Data versioning and change logs for traceability

CSV, JSON & Excel formats

  • Ready-to-use data in CSV, JSON, and Excel formats
  • Consistent schemas across formats to simplify ingestion
  • Optional API access for real-time or near-real-time updates

Why This Data Matters for Your Business

This restaurant menu dataset is designed to support a broad spectrum of strategic and operational initiatives. Below are the primary value drivers you can expect when you integrate and analyze this data.

Market research and competitive intelligence

Benchmark menu items, price points, and dietary trends across regions and restaurant segments. Identify gaps in menus and opportunities for expansion or optimization.

Product and menu engineering

Use structured menu items, prices, and add-on data to optimize your own menu mix, pricing strategy, and upsell opportunities. Evaluate cross-sell potential with ingredients and modifiers.

Dynamic pricing and revenue optimization

Leverage price variation data and size options to model pricing scenarios and forecast revenue impact across markets and time periods.

Restaurant discovery and app onboarding

Enhance search experiences with rich metadata, geography, and cuisine tags, improving discoverability and user satisfaction.

Recipe modeling and culinary analytics

Use ingredient-level data and nutrition attributes to inform recipe development, nutritional labeling, and meal-planning features.

Analytics and reporting

Build dashboards that track item performance, margin contribution by category, and regional flavor preferences.

How It Supports Different Use Cases

Market research & competitive intelligence

  • Compare average dish prices across regions and segments
  • Track evolving menu trends, such as vegan or gluten-free offerings
  • Measure the breadth of cuisine categories and identify gaps in regional menus
  • Food delivery apps & catalog enrichment

  • Enrich your product catalog with verified item names, descriptions, and modifiers
  • Provide accurate pricing for base items and addons, along with size variations
  • Improve user search with cuisine type, dietary flags, and allergen tags
  • Menu engineering & pricing strategy

  • Analyze item-level profitability by region and format
  • Identify high-margin addons and opportunities for upselling
  • Test pricing scenarios with historical data to forecast impact
  • Recipe development & culinary analytics

  • Leverage ingredient lists and allergens to inform new dish concepts
  • Model nutritional profiles and dietary compliance for menu labeling
  • Align recipes with regional tastes and dietary trends
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    Data Formats, Quality, and Access

    CSV, JSON, and Excel formats

    Flexible for ingestion into data warehouses, BI tools, or analytics pipelines.

    Structured taxonomy

    A consistent cuisine taxonomy, dietary flags, and ingredient tagging to support uniform analysis.

    Data quality controls

    Validation checks, normalization of units, deduplication, and standardization of item and restaurant metadata.

    Weekly updates

    Regular refresh cycles ensure you’re working with current menus, prices, and availability.

    Versioning and changelogs

    Transparent change tracking so you can compare historical snapshots.

    Who Should Consider This Datasets

    Getting started is straightforward

    Frequently Asked Questions

    CSV, JSON, and Excel, with optional API access.
    Weekly, with a changelog and version history.
    Yes. Custom fields and regional taxonomy can be configured to align with your data model.
    The dataset is designed to be highly suitable for analytics, feature engineering, and data-driven decision making, without relying on any proprietary AI systems.
    Contact our sales team to request a sample, discuss your needs, and receive a customized proposal.

    Get a Quote

    Get Restaurant and Food Related Datasets Today!

    If you’re seeking a dependable, well-structured restaurant menu dataset that covers items, prices, categories, ingredients, calories, and addons, with weekly updates and multi-format access, you’ve found the right resource. This dataset empowers your team to conduct rigorous market research, optimize pricing, enhance catalog quality, and accelerate product development across global markets. Take the next step to elevate your data capabilities—request a sample, schedule a demo, or contact our team to discuss how this dataset can be integrated into your workflows.