Source: tasteofhome.com · Collected: Feb 2022 · Format: json
Description
Explore the Recipes and Reviews Dataset from Taste of Home, a comprehensive collection of web-scraped data featuring popular recipes and authentic user reviews. This dataset showcases a diverse range of cuisines, cooking techniques, ingredient combinations, and meal categories, making it an invaluable resource for culinary research.
If you're looking for structured and ready-to-use recipe data, there are curated datasets available that include ingredients, nutrition, cuisine types, and diet categories.
https://crawlfeeds.com/powerful-recipe-datasets
Gain insights into trending dishes, highly-rated recipes, and customer feedback to inform your culinary research, food product development, and menu planning. Whether you're a food enthusiast, chef, or industry analyst, this dataset provides a detailed understanding of evolving food trends and consumer preferences.
For those seeking access to rich and actionable food and beverage datasets, check out the Food and Beverage Data available on Crawl Feeds. It’s an excellent resource for enhancing your culinary projects and data-driven strategies.
Data fields
Use cases
Deliver personalized recipe suggestions based on cooking time, ingredients, ratings, and meal categories.
Build meal planners using preparation time, nutrition information, and serving sizes.
Discover frequently used ingredients and popular ingredient combinations across thousands of recipes.
Analyze highly rated recipes and identify food trends using review counts and average ratings.
Compare recipes based on nutritional values to support healthy eating applications.
Enable advanced recipe filtering by ingredients, cooking time, meal type, and ratings.
Train AI models to generate recipes, cooking instructions, and meal suggestions.
Study cooking techniques, cuisine diversity, and consumer recipe preferences using structured recipe data.
Build relationships between ingredients, cooking methods, cuisines, and nutritional information.
Develop AI-powered kitchen assistants that suggest recipes based on available ingredients and dietary preferences.
Frequently asked questions
Yes. The dataset includes complete ingredient lists, making it easy to build ingredient-based recipe search and filtering applications.
Yes. Prep time, cook time, and total cooking time are available for each recipe, supporting meal planning and time-based filtering.
Yes. Average ratings and review counts help identify recipes that are highly rated and frequently reviewed by users.
Yes. Nutrition details are available, making the dataset suitable for health-focused applications and dietary analysis.
Food-tech companies can build recipe recommendation engines, meal planning platforms, cooking assistants, and food search applications using the structured recipe data.
Dataset highlights
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