Open Food Facts API

Food facts

An API for facts about food. It contains detailed information for over 7500 food items. The database contains over 500,000 data points. This API Also contains a full text search of food descriptions, scientific names and manufacturers making searches like "Coca cola company", and latin names for herbs possible. The API is fast, returning long search results in pages, where you decide page size (up to 50 items per page) You can also convert to gram measurements from common house hold measurements like cups, tablespoons and cans.

Food Nutrition Allergen and Ingredient Database

FoodFacts is the first food database providing full nutrition label, allergen information, ingredient listings, etc on the web. Since 2002 we've been making food data available to the public so they can see what's really in the foods they are eating. Now we want to help developers and start-ups get the most comprehensive data for their needs. Get data on over 250,000+ products and growing and growing each day, Custom Licensing solutions available, and Largest Fully Verified Food Database. We provide full nutrition label information, product allergen warnings, ingredient listings, images, UPC code to be used for any diet, allergen, ingredient based, and/or exercise app you are currently building.

Edamam Food and Grocery Database

This API provides you with tools to find nutrition and diet data for generic foods, packaged foods and restaurant meals. In addition it employs NLP (Natural Language Processing) which allows for extraction of food entities from unstructured text. Covered Use Cases: Search for a food by keyword, food name or UPC/Barcode Sourcing of nutrition facts for a given food, including: macro and micro nutrients, allergen labels, lifestyle and health labels Search for a food by given nutrient quantity for 28 nutrients Seach for foods within a given brand With the build in food-logging context it allows for NLP requests for chat bots and natural language calorie counters

BigOven

Access 350,000+ recipes, reviews and nutrition facts.

supper_app

What’s for Supper? app helps users by providing them with a means to figure out what can be cooked based on entering the available ingredients in the household WFS? is presented with an animated video splash screen intro page upon open WFS? users can register through the app or through authentic Facebook login WFS? aims to be a free app trial for 30 days and offers an In-App Purchase of $.99 cents for full use of the app including additional In-App Purchases for more features GPS Integration will allow users directions to all nearby supermarkets and groceries What’s for Supper? Allows users to create custom family and allergy profiles WFS? camera feature will allow users to snap photos of food that can be added to the app for determining best dishes to make including recipes and nutritional information WIFI or Data connection is required for What’s for Supper? real time results

Human Like Sentiment Analysis for Hotel Reviews

The Next-generation of Sentiment Analysis, Keywords, Topics and Categories. 124 Semantic models designed especially for hotel reviews. With this unique approach, we cover more than 90% of information/facts contained within the review. Testing it on hundreds of thousands of reviews, we achieved very high accuracy (precision=95%) We call it Human-like Analysis because with these parameters we achieve the same quality as detected by skilled analysts (humans). It opens up a lot of new functionalities that can be easily combined with your product without any post-processing, additional training or configuration to your data. To learn more what can be done with this technology, visit our webiste: http://unicornnlp.com/?solutions-in-travel

NYC Health Inspection Results

A web API for NYC food service establishment health inspection results. All information is provided by NYC Open Data. No key or authentication is required to gain access to the API. The API was implemented using a REST-like interface and is also CORS friendly. The API provides JSON and XML endpoints for accessing the restaurant information. (default is JSON)

Recipe - Food - Nutrition

The spoonacular Nutrition, Recipe, and Food API allows you to access over 365,000 recipes and 86,000 food products. Our food ontology and semantic recipe search engine makes it possible to search for recipes using natural language queries, such as "gluten free brownies without sugar" or "low fat vegan cupcakes." You can automatically calculate the nutritional information for any recipe, analyze recipe costs, visualize ingredient lists, find recipes for what's in your fridge, find recipes based on special diets, nutritional requirements, or favorite ingredients, classify recipes into types and cuisines, convert ingredient amounts, or even compute an entire meal plan. With our powerful API, you can create many kinds of food and especially nutrition apps. Special diets/dietary requirements currently available include: vegan, vegetarian, pescetarian, gluten free, grain free, dairy free, high protein, low sodium, low carb, Paleo, Primal, ketogenic, FODMAP, and Whole 30. We will soon be adding Weight Watcher points, too.

Nutritionix - Nutrition Database

Global API of nutrition data for restaurants, food manufacturers, and USDA common foods. Includes over 230K UPCs/barcodes, 100K restaurant foods, and 10,000 common foods from the USDA.

E-additives

E-additives API is a REST based service that brings you information about food additives. Users can search for food additives get information about a single additive, get a list of additive categories, and get information about a single category.

Edamam Nutrition Analysis

The Nutrition Analysis API and Database uses Natural Language Processing and semantically structured data.

Product-API

Receive food product informations by providing just the barcode of the product

Edamam Food and Grocery Database

This API provides you with tools to find nutrition and diet data for generic foods, packaged foods and restaurant meals. In addition it employs NLP (Natural Language Processing) which allows for extraction of food entities from unstructured text. Covered Use Cases: Search for a food by keyword, food name or UPC/Barcode Sourcing of nutrition facts for a given food, including: macro and micro nutrients, allergen labels, lifestyle and health labels Search for a food by given nutrient quantity for 28 nutrients Seach for foods within a given brand With the build in food-logging context it allows for NLP requests for chat bots and natural language calorie counters

FitbitAPI

Access data from Fitbit activity trackers