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.

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Free discovery. Full recipe detail uses one credit. Commercial use and caching start on Developer.

Search, filters, and generation
32 USDA-backed nutrients
One consistent schema
No attribution required

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 application persistence.

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

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See the data in action: Claude plans a week and builds one shopping list.

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Architecture and production concerns for generation-first products.

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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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