Master Food & Nutrition Development with Zyla API Hub APIs

API Ecosystem Overview
Advanced Integration Patterns
Performance Optimization
Scalability Considerations
Monitoring and Analytics
Production Deployment Best Practices
Food Nutrition Information API
Food Nutrition Information API is a comprehensive resource for nutritional information on a wide range of foods. This API allows users to search for foods and retrieve detailed nutritional data, including calorie count, protein, fat, and carbohydrate content. It is an invaluable tool for developers looking to create meal planning platforms, food tracking apps, or nutrition analysis tools.
Key Features and Capabilities
Search Food By Keyword
{
"totalHits": 6846,
"currentPage": 1,
"totalPages": 1370,
"foods": [
{
"fdcId": 1799988,
"description": "BACON",
"dataType": "Branded",
"ingredients": "BACON CURED WITH: WATER, SALT, SUGAR, SODIUM PHOSPHATE, SODIUM ERYTHORBATE, SODIUM NITRITE.",
"foodNutrients": [
{
"nutrient": {
"name": "Total lipid (fat)",
"unitName": "g"
},
"amount": 3.75
}
]
}
]
}
Search Food By ID
{
"fdcId": 1970473,
"description": "MILK",
"foodNutrients": [
{
"nutrient": {
"name": "Cholesterol",
"unitName": "mg"
},
"amount": 15
}
]
}
Frequently Asked Questions
Q: What are typical use cases for this data?
A: Typical use cases include meal planning, diet tracking, restaurant menu analysis, and product development.
Q: How is data accuracy maintained?
A: Data accuracy is maintained through regular updates and sourcing from reliable databases.
Q: What parameters can be used with the endpoint?
A: The "Search Food By Keyword" endpoint accepts parameters like "query" (food keyword) and pagination options.
Check out the API documentation to get started.
Food Text Analysis API
Food Text Analysis API utilizes Natural Language Processing (NLP) to analyze and understand the nutritional content of food items described in text form. This API is ideal for applications that need to extract nutritional information from unstructured text, such as ingredient lists or recipes.
Key Features and Capabilities
Food Analysis
{
"calories": 122,
"dietLabels": ["LOW_CARB", "LOW_SODIUM"],
"totalNutrients": {
"ENERC_KCAL": {
"label": "Energy",
"quantity": 122.98,
"unit": "kcal"
}
}
}
Frequently Asked Questions
Q: How can users customize their data requests?
A: Users can customize their requests by providing specific text inputs that describe food items.
Q: What are typical use cases for this data?
A: Typical use cases include food tracking apps, meal planning platforms, and nutrition education resources.
Check out the API documentation to get started.
Nutritional Info from Text API
Nutritional Info from Text API is a powerful NLP tool that allows users to extract food information from text and receive nutritional information such as calories, serving size, sodium, and more. This API is particularly useful for food tracking apps and recipe analysis tools.
Key Features and Capabilities
Get Nutrition
[
{
"name": "orange juice",
"calories": 112,
"serving_size_g": 240,
"fat_total_g": 0.3,
"sodium_mg": 4
}
]
Frequently Asked Questions
Q: What are typical use cases for this data?
A: Typical use cases include food tracking applications and recipe analysis tools.
Q: What are the sources of the data?
A: The data is sourced from reputable nutritional databases and food composition tables.
Visit the developer docs for complete API reference.
Ingredients Parser API
Ingredients Parser API allows developers to extract ingredient lists from any text. This API is essential for applications that need to identify and extract ingredients from recipes, food labels, or product packaging.
Key Features and Capabilities
Parser
{
"ingredients": [
{
"name": "Zucchini",
"quantity": "2",
"measure": "medium"
},
{
"name": "Olive Oil",
"quantity": "2",
"measure": "tablespoons"
}
]
}
Frequently Asked Questions
Q: How is data accuracy maintained?
A: Data accuracy is maintained through a robust parsing algorithm that utilizes machine learning techniques.
Q: What are typical use cases for this data?
A: Typical use cases include recipe apps, nutrition tracking apps, and allergen detection apps.
Visit the developer docs for complete API reference.
Vegan Meal API
Vegan Meal API provides access to a vast collection of vegan recipes. This API is designed to help developers and recipe enthusiasts access and use plant-based recipes in their applications.
Key Features and Capabilities
Get Vegan Foods
[
{
"id": "1",
"title": "Dark chocolate bark with sea salt",
"difficulty": "Easy",
"image": "https://apipics.s3.amazonaws.com/vegan_api/1.jpg"
}
]
Get Vegan Foods ID
{
"id": "2",
"title": "Pressure cooker refried beans",
"difficulty": "Easy",
"ingredients": [
"500g dried pinto beans",
"1 tsp dried oregano"
]
}
Frequently Asked Questions
Q: How can users customize their data requests?
A: Users can customize their data requests by using specific parameters such as recipe ID.
Q: What are typical use cases for this data?
A: Typical use cases include recipe-sharing platforms and meal planning applications.
View the integration guide for step-by-step instructions.
Low Carb and Keto Recipes API
Low Carb and Keto Recipes API provides an extensive list of recipes tailored for low-carb and keto diets. This API is ideal for developers creating nutrition apps that recommend recipes based on user preferences.
Key Features and Capabilities
Random Recipe
{
"id": "3e2d06c4-4851-48b5-a12a-973937bd0311",
"name": "Low Carb Avocado Pesto Noodles",
"description": "A delicious low-carb meal made with zucchini noodles."
}
Search Recipes
[
{
"id": "b5666639-d875-4e26-afed-899b26125b61",
"name": "Keto Battered Fish",
"description": "Delicious Keto battered fish coated with coconut flour."
}
]
Frequently Asked Questions
Q: What are typical use cases for this data?
A: Typical use cases include integrating the API into nutrition apps and meal planning tools.
Q: What are the sources of the data?
A: The data is sourced from a comprehensive collection of low-carb and keto recipes curated for accuracy.
Read our technical guides for implementation tips.
Mexican Meal API
Mexican Meal API is a comprehensive resource for information about Mexican cuisine, offering over 170 authentic recipes. This API is perfect for developers looking to create applications that celebrate the rich culinary heritage of Mexico.
Key Features and Capabilities
Get All Mexican Foods
[
{
"id": "1",
"title": "Pressure cooker refried beans",
"difficulty": "Easy",
"image": "https://apipics.s3.amazonaws.com/mexican_api/1.jpg"
}
]
Get Mexican Food ID
{
"id": "4",
"title": "Black bean and chicken burritos",
"difficulty": "Easy",
"ingredients": [
"1 tbsp vegetable oil",
"Bunch spring onions, finely chopped"
]
}
Frequently Asked Questions
Q: How is data accuracy maintained?
A: Data accuracy is maintained through careful curation of recipes and ingredients.
Q: What are typical use cases for this data?
A: Typical use cases include meal planning applications and cooking class platforms.
View the integration guide for step-by-step instructions.
Chef Generator API
Chef Generator API is a recipe generator tool that creates new recipes based on user inputs and preferences. This API is ideal for chefs, food bloggers, and culinary professionals looking to innovate in the kitchen.
Key Features and Capabilities
Recipe Generator
{
"recipeName": "Cheesy Potato Casserole",
"ingredients": [
"4 cups diced potatoes",
"1/2 cup butter, melted"
],
"instructions": [
"Preheat oven to 350 degrees F.",
"Combine potatoes, butter, and other ingredients."
]
}
Frequently Asked Questions
Q: How is data accuracy maintained in the Recipe Generator API?
A: Data accuracy is maintained through machine learning algorithms that analyze historical recipe data.
Q: How can users effectively utilize the returned data?
A: Users can display the recipe name and instructions in their applications, allowing for easy cooking.
View the integration guide for step-by-step instructions.
Conclusion