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    <title>DEV Community: Panera Bread</title>
    <description>The latest articles on DEV Community by Panera Bread (@panera_bread_f0520524b801).</description>
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      <title>DEV Community: Panera Bread</title>
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      <title>Structuring Restaurant Menu Data for Easy Access and Analysis</title>
      <dc:creator>Panera Bread</dc:creator>
      <pubDate>Sun, 17 Aug 2025 04:54:45 +0000</pubDate>
      <link>https://dev.to/panera_bread_f0520524b801/structuring-restaurant-menu-data-for-easy-access-and-analysis-4egh</link>
      <guid>https://dev.to/panera_bread_f0520524b801/structuring-restaurant-menu-data-for-easy-access-and-analysis-4egh</guid>
      <description>&lt;p&gt;Hi Dev Community,&lt;br&gt;
I’ve been exploring ways to organize and display restaurant menu data efficiently for apps and web tools. For example, sites like &lt;a href="https://panerabread-menus.info/panera-bread-salad-menu/" rel="noopener noreferrer"&gt;menu at Panera Bread&lt;/a&gt; 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.&lt;/p&gt;

&lt;p&gt;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.&lt;/p&gt;

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      <category>database</category>
      <category>api</category>
      <category>datascience</category>
      <category>productivity</category>
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