Use Case Guide

Recipe API for Meal Planning Apps

Meal planning breaks when recipe data is inconsistent — missing nutrition, unstructured instructions, no dietary flags. Recipe API returns a complete schema on every response: filter by macros, dietary tags, and ingredients, then render structured cooking phases directly in your UI.

Typical Builder Journey

1. Build discovery and filtering

Start with categories, cuisines, dietary flags, and nutrition ranges.

GET /api/v1/recipes?dietary=Vegetarian&max_calories=550

2. Add ingredient-aware planning

Use ingredient IDs to filter recipe pools and match pantry constraints.

GET /api/v1/recipes?ingredients=id1,id2

3. Personalize with generation

Generate new recipes for user goals and household restrictions.

POST /api/v1/generate

4. Scale with clear rights

Choose plans aligned with no-attribution usage, caching rights, and long-term data ownership.

Review plan rights

Meal Planning Query Example

Find dinner recipes that fit calorie and protein constraints.

GET /api/v1/recipes

curl "https://recipe-api.com/api/v1/recipes?category=Dinner&max_calories=600&min_protein=30&dietary=Gluten-Free&page=1&per_page=20" \
  -H "X-API-Key: rapi_your_key"

Related Guides

Generative Recipe API

Architecture and production concerns for generation-first products.

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vs Edamam

Decision guide focused on developer workflow and commercial readiness.

Start Building

Complete schema on every response. Filter by macros, dietary tags, and ingredients out of the box.

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