Most businesses automate their core processes using software solutions such as ERP, CRM, SCM, etc. Thus, we bring the programmatic approach to fetch JSON data into an Excel file using GcExcel API for C#. Manually copying each data object and its value from JSON into Excel is not a good solution (at least in situations when the JSON file is too large). With this growing use and data being exposed to users in native object format, it is often required to present JSON into structured (tabular) data such as Excel. Once developed to transfer data and build communication between applications, JSON now finds its use in several data scenarios, including storing data, such as the number of registered users on a website, storing application configuration, data validation, simplifying complex data models to predictable and human-readable text, and many more. JSON is text-based and lightweight, has an easy-to-parse data format that requires no additional parsing code, processes faster, can handle lots of data, and is machine-independent. However, with the rise in API code programming and Web Services, the use of JSON has gained popularity among them because of its easy-to-use process. For a long time, programmers, developers, and IT professionals have used XML and CSV for exchanging data between applications. In the programming world, data is everywhere, and one of the biggest challenges is storing, transferring, and managing it across applications.

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