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Tools:

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APIs

  • The ESHA Nutrition Database API provides several APIs including an API that returns a JSON representation of the specified food, one that returns all known nutrients, one that returns all known units, one that supports food search and another one for food recommendation.

  • The Edamam APIs including a Nutrition Analysis, Food Database, and Recipe Search API (search over 2.3 million recipes by diets, calories and nutrient ranges).

  • Spoonacular offers a variety of widgets that allow you to work with food data, including an ingredient visualizer widget which lets you show a recipeā€˜s ingredient list in a visually appealing way, price visualizer widget which lets you show the total estimated cost for a recipe, a taste visualizer widget which lets you display the taste distribution of an ingredient or an entire recipe, a nutrition visualizer widget which lets you display macro and micro nutrients of a recipe, and an equipment visualizer widget which lets you show the tools required to make recipe.

Scrapers

Other tools and sources

Data sets:

  • RecipeQA: A Dataset for Multimodal Comprehension of Cooking Recipes

  • Recipe1M+: A Dataset for Learning Cross-Modal Embeddings for Cooking Recipes and Food Images

  • Recipe5K: dataset for ingredients recognition with 4,826 unique recipes composed of an image and the corresponding list of ingredients

  • YouCook2 is one of the largest task-oriented, instructional video dataset in the vision community

  • Food.com Crawled data from Food.com (GeniusKitchen) online recipe aggregator

  • Food related datasets at data.world

  • The Rakuten dataset with about 800,000 recipes and images

Ontologies: