Pipedream vs Zyla API Hub: Food & Nutrition API Comparison

Overview of Food & Nutrition APIs
- Food Nutrition Information API
- Food Text Analysis API
- Nutritional Info from Text API
- Ingredients Parser API
- Vegan Meal API
- Low Carb and Keto Recipes API
- Mexican Meal API
- Chef Generator API
Food Nutrition Information API
Food Nutrition Information API is a comprehensive resource for nutritional information on a wide range of foods. It allows users to search for foods and retrieve detailed nutritional data, including calorie count, protein, fat, and carbohydrate content. This API is essential for developers looking to create meal planning platforms, food tracking apps, or any application that requires accurate nutritional data.
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
}
]
}
]
}
totalHits field indicates the total number of food items matching the search criteria, while foods
contains an array of food objects with detailed nutritional information.
Search Food By ID
{
"fdcId": 1970473,
"description": "MILK",
"foodNutrients": [
{
"nutrient": {
"name": "Cholesterol",
"unitName": "mg"
},
"amount": 15
}
]
}
fdcId field uniquely identifies the food item, while foodNutrients
provides an array of nutrients associated with that food.
Frequently Asked Questions
Q: What are typical use cases for this data?
A: Typical use cases include meal planning, diet tracking, and restaurant menu analysis.
Q: How is data accuracy maintained?
A: Data accuracy is maintained through regular updates and sourcing from reliable databases.
Try the API playground to experiment with requests.
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 particularly useful 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"
}
}
}
calories field indicates the total caloric content, while dietLabels
provides information on dietary restrictions.
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.
Try the API playground to experiment with requests.
Nutritional Info from Text API
Nutritional Info from Text API is a powerful 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 ideal for food tracking apps and recipe analysis tools.
Key Features and Capabilities
Get Nutrition
[
{
"name": "orange juice",
"calories": 112,
"sodium_mg": 4,
"carbohydrates_total_g": 28.0
}
]
name, calories
, and sodium_mg
, providing a comprehensive overview of the food's nutritional profile.
Frequently Asked Questions
Q: What are typical use cases for this data?
A: Typical use cases include food tracking applications and recipe analysis tools.
Try the API playground to experiment with requests.
Ingredients Parser API
Ingredients Parser API allows developers to extract ingredient lists from any text. This API is essential for applications that need to parse 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"
}
]
}
ingredients field contains an array of ingredient objects, each with a name
, quantity
, and measure
.
Frequently Asked Questions
Q: How is data accuracy maintained?
A: Data accuracy is maintained through a robust parsing algorithm that utilizes machine learning techniques.
Read our technical guides for implementation tips.
Vegan Meal API
Vegan Meal API provides access to a vast collection of vegan recipes. This API is designed for developers and recipe enthusiasts looking to incorporate plant-based recipes into their applications.
Key Features and Capabilities
Get Vegan Foods
[
{
"id": "1",
"title": "Dark chocolate bark with sea salt",
"difficulty": "Easy"
}
]
id, title
, and difficulty
, providing essential information about each recipe.
Frequently Asked Questions
Q: What are typical use cases for this data?
A: Typical use cases include creating recipe-sharing platforms and cooking tutorial apps.
Check out the API documentation to get started.
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 or meal planning tools.
Key Features and Capabilities
Random Recipe
{
"id": "3e2d06c4-4851-48b5-a12a-973937bd0311",
"name": "Low Carb Avocado Pesto Noodles",
"description": "A delicious low-carb dish."
}
id, name
, and description
, providing a quick overview of the recipe.
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.
Visit the developer docs for complete API reference.
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 focused on Mexican culinary traditions.
Key Features and Capabilities
Get All Mexican Foods
[
{
"id": "1",
"title": "Pressure cooker refried beans",
"difficulty": "Easy"
}
]
id, title
, and difficulty
, providing essential information about each dish.
Frequently Asked Questions
Q: How is data accuracy maintained?
A: Data accuracy is maintained through careful curation of recipes and ingredients.
View the integration guide for step-by-step instructions.
Chef Generator API
Chef Generator API generates new recipes based on user inputs and preferences. This API is a valuable tool for chefs and food bloggers looking to create unique and creative recipes.
Key Features and Capabilities
Recipe Generator
{
"recipeName": "Cheesy Potato Casserole",
"ingredients": [
"4 cups diced potatoes",
"1/2 cup butter, melted"
]
}
recipeName and ingredients
, allowing users to easily follow the cooking steps.
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.
Check out the API documentation to get started.
Comparison of Pipedream and Zyla API Hub
Food & Nutrition API Offerings
Food Nutrition Information API and Food Text Analysis API, are designed to meet the specific needs of developers in the food and nutrition space.
Platform Features
- Unified account management for multiple APIs
- Single SDK for seamless integration
- Consolidated analytics and monitoring across all APIs
- Reliable infrastructure with high uptime
- Enhanced developer experience with comprehensive documentation
Conclusion