Hi Dev Community,
I’ve been exploring ways to organize and display restaurant menu data efficiently for apps and web tools. For example, sites like menu at Panera Bread provide detailed listings of sandwiches, salads, and bakery items. I’m curious about best practices for structuring this kind of hierarchical data so it’s easy to query, update, and integrate with user-facing applications.
Has anyone experimented with JSON schemas, APIs, or database designs for this kind of menu dataset? I’d love to hear how you approached organizing large menus for analytics or app development.
Top comments (6)
Hi! This reminds me a lot of how Subway organizes its menu each sandwich, bread, topping, and sauce is essentially a hierarchical dataset. Using structured JSON or relational databases can make it easy to query and update combinations, just like letting customers customize their sub. APIs can then expose this data efficiently to apps or web tools, making it simple to track popular items, manage inventory, or even recommend combos.
Thinking about UDISE+ makes me realize how important well-organized school data is. Every school, class, and student entry forms a structured hierarchy that needs to be easy to access and update. By using databases or JSON formats, this information can be managed smoothly, and APIs can help push it to apps or dashboards for analysis, reporting, or monitoring trends across schools.
Great breakdown on structuring hierarchical restaurant menu data! I’ve been working on something similar for Modixer, an online bag store, modixer.pk. where product categories, styles, and variants need to be organized just as cleanly as menu items at Panera Bread. Using a well-defined JSON schema and modular API endpoints has really helped keep the data scalable and easier to analyze. It’s interesting how techniques used for food menus translate perfectly to large e-commerce catalogs.
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