Top Food & Nutrition APIs for Recipe and Diet Apps in 2025

Exploring the Top 10 Food & Nutrition APIs for Developers

In the rapidly evolving world of technology, APIs (Application Programming Interfaces) have become essential tools for developers, especially in the food and nutrition sector. This blog post delves into the top 10 APIs in the Food & Nutrition category, providing detailed insights into their features, capabilities, and practical applications. Whether you're building a meal planning app, a nutrition tracker, or a recipe-sharing platform, these APIs can significantly enhance your application's functionality.

1. Exercise Database API

The Exercise Database API offers access to a comprehensive database of over 1300 exercises, complete with individual exercise data and animated demonstrations. This API is particularly useful for fitness applications and gyms looking to provide users with detailed exercise information.

Key features of the Exercise Database API include:

• List of Body Parts: Fetch a list of available body parts to target during workouts.
• List Exercise by Body Part: Retrieve exercises filtered by specific body parts, allowing users to focus on their desired areas.
• List of Target Muscles: Access a list of available target muscles to help users understand which muscles are engaged during exercises.
• List by Target Muscle: Fetch exercises based on the primary muscle targeted, aiding in muscle-specific training.
• List of All Exercises: Retrieve all exercises in a non-paginated format for comprehensive access.
• Exercise By ID: Get detailed information about a specific exercise using its unique ID.
• List of Equipment: Retrieve currently available exercise equipment, enhancing workout planning.
• List by Equipment: Fetch exercises categorized by the type of equipment used.
• AI Workout Planner: Generate customized workout plans based on user inputs like gender, weight, and fitness goals.
• Calories Burned: Calculate the number of calories burned during specific exercises based on user parameters.

Example response for the List Exercise by Body Part feature:

[{"bodyPart":"waist","equipment":"body weight","gifUrl":"https://api.exercisedb.io/image/LZcgDnTse0YQi5","id":"0001","name":"3/4 sit-up","target":"abs"}]

2. Low Carb and Keto Recipes API

The Low Carb and Keto Recipes API is an extensive resource for developers looking to provide low-carb and keto recipes. With over a thousand recipes, this API is ideal for nutrition apps and food-related services.

Key features include:

• Random Recipe: Surprise users with a random recipe from the database.
• Search Recipes: Find recipes that match specific criteria, allowing for personalized meal suggestions.

Example response for the Random Recipe feature:

{"id":"3e2d06c4-4851-48b5-a12a-973937bd0311","name":"Low Carb Avocado Pesto Noodles","description":"A delicious low-carb alternative to traditional pasta.","prepareTime":20,"cookTime":2,"ingredients":[{"name":"Zucchini Noodles","servingSize":{"units":"cup, sliced","desc":"6 cup, sliced","qty":6.0,"grams":678.0,"scale":6.78}}]}

3. Feed Reader API

The Feed Reader API allows developers to read and normalize data from various RSS/ATOM/JSON feed URLs. This API is perfect for creating news aggregators and content-based services.

Key features include:

• Get Feed Data: Retrieve feed data from a specified ATOM/RSS source, normalizing it into a common format.

Example response for the Get Feed Data feature:

{"error":0,"message":"Feed extraction success","data":{"title":"Google News","link":"https://news.google.com","description":"Latest news articles","language":"en-US","published":"2025-01-24T14:23:18.000Z","entries":[{"id":"1","title":"Article Title","link":"https://example.com/article","published":"2024-01-01T00:00:00.000Z","description":"Brief description of the article."}]}}

4. Nutritional Info from Text API

The Nutritional Info from Text API utilizes natural language processing to extract food information from text and provide nutritional details such as calories, serving size, and more.

Key features include:

• Get Nutrition: Retrieve nutritional information related to any food item passed in text format.

Example response for the Get Nutrition feature:

[{"name": "orange juice", "calories": 112, "serving_size_g": 240, "fat_total_g": 0.3, "sodium_mg": 4, "carbohydrates_total_g": 28.0}]

5. Ingredients Parser API

The Ingredients Parser API allows developers to extract ingredient lists from any text, making it useful for recipe apps and nutrition tracking platforms.

Key features include:

• Parser: Extract and classify individual components from an ingredient list, returning structured data.

Example response for the Parser feature:

{"ingredients":[{"input":"3 to 4 tbsp whole milk","quantity":"3","unit":"tablespoon","name":"whole milk"},{"input":"8 large Granny Smith apples","quantity":"8","size":"large","name":"Granny Smith apples"}]}

6. Chef Generator API

The Chef Generator API generates new recipes based on user inputs and preferences, making it a valuable tool for culinary professionals and home cooks alike.

Key features include:

• Recipe Generator: Generate a recipe based on specified ingredients.

Example response for the Recipe Generator feature:

{"recipeName":"Cheesy Potato Casserole","howManyServings":"6","ingredients":["4 cups diced potatoes","1/2 cup butter, melted","1/2 cup all-purpose flour"],"instructions":["Preheat oven to 350 degrees F.","Combine ingredients in a baking dish."]}

7. Food Text Analysis API

The Food Text Analysis API uses NLP to analyze and extract nutritional content from food items described in text form, making it ideal for food tracking apps and nutrition education resources.

Key features include:

• Food Analysis: Extract nutritional information from unstructured food text.

Example response for the Food Analysis feature:

{"calories":122,"totalWeight":86.0,"dietLabels":["LOW_CARB","LOW_SODIUM"],"healthLabels":["VEGETARIAN","GLUTEN_FREE"],"totalNutrients":{"ENERC_KCAL":{"label":"Energy","quantity":122,"unit":"kcal"}}}

8. Food Nutrition Information API

The Food Nutrition Information API allows users to search for foods and retrieve detailed nutritional information, including calorie count and macronutrient breakdown.

Key features include:

• Search Food By Keyword: Search for foods using keywords to retrieve nutritional information.
• Search Food By ID: Retrieve detailed information about a specific food item using its FDC ID.

Example response for the Search Food By Keyword feature:

{"totalHits":6846,"foods":[{"fdcId":1799988,"description":"BACON","brandName":"FESTIVAL FOODS","foodNutrients":[{"nutrientName":"Protein","value":7.14,"unitName":"g"}]}]}

9. Mexican Meal API

The Mexican Meal API provides access to a vast collection of authentic Mexican recipes, making it a valuable resource for developers interested in Mexican cuisine.

Key features include:

• Get All Mexican Foods: Retrieve a list of available Mexican meals.
• Get Mexican Food ID: Retrieve detailed information about a specific dish using its ID.

Example response for the Get All Mexican Foods feature:

[{"id":"1","title":"Pressure cooker refried beans","difficulty":"Easy","image":"https://apipics.s3.amazonaws.com/mexican_api/1.jpg"}]

10. Vegan Meal API

The Vegan Meal API offers a comprehensive collection of vegan recipes, making it easy for developers to access plant-based recipes for various applications.

Key features include:

• Get Vegan Foods: Retrieve a list of available vegan meals.
• Get Vegan Foods ID: Retrieve detailed information about a specific vegan recipe using its ID.

Example response for the Get Vegan Foods feature:

[{"id":"1","title":"Dark chocolate bark with sea salt","difficulty":"Easy","image":"https://apipics.s3.amazonaws.com/vegan_api/1.jpg"}]

Conclusion

In conclusion, the APIs discussed in this blog post represent some of the best resources available for developers in the Food & Nutrition category. From the Exercise Database API to the Vegan Meal API, each API offers unique features and capabilities that can enhance applications focused on health, nutrition, and culinary exploration. By leveraging these APIs, developers can create innovative solutions that cater to the growing demand for personalized nutrition and meal planning.