Supermarket API Search Results & Alternatives
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
Related APIs in Category: Food
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.
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
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