JSON File Connector for MS ExcelJSON File Connector can be used to extract and output JSON data stored in local files or direct JSON String (variables or DB columns). JSON Connector also supports JSONPath to filter data from nested array/sub-documents. This Connector is optimized to work with very large files. In this article you will learn how to quickly and efficiently integrate JSON File data in MS Excel without coding. We will use high-performance JSON File Connector to easily connect to JSON File and then access the data inside MS Excel. Let's follow the steps below to see how we can accomplish that! JSON File Connector for MS Excel is based on ZappySys JSON Driver which is part of ODBC PowerPack. It is a collection of high-performance ODBC drivers that enable you to integrate data in SQL Server, SSIS, a programming language, or any other ODBC-compatible application. ODBC PowerPack supports various file formats, sources and destinations, including REST/SOAP API, SFTP/FTP, storage services, and plain files, to mention a few. |
Connect to JSON File in other apps
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Create ODBC Data Source (DSN) based on ZappySys JSON Driver
Step-by-step instructions
To get data from JSON File using MS Excel we first need to create a DSN (Data Source) which will access data from JSON File. We will later be able to read data using MS Excel. Perform these steps:
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Download and install ODBC PowerPack.
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Open ODBC Data Sources (x64):
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Create a User data source (User DSN) based on ZappySys JSON Driver
ZappySys JSON Driver
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Create and use User DSN
if the client application is run under a User Account.
This is an ideal option
in design-time , when developing a solution, e.g. in Visual Studio 2019. Use it for both type of applications - 64-bit and 32-bit. -
Create and use System DSN
if the client application is launched under a System Account, e.g. as a Windows Service.
Usually, this is an ideal option to use
in a production environment . Use ODBC Data Source Administrator (32-bit), instead of 64-bit version, if Windows Service is a 32-bit application.
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Create and use User DSN
if the client application is run under a User Account.
This is an ideal option
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You can use pass single file or multiple file path using wildcard pattern in path and you can use select single file by clicking [...] path button or multiple file using wildcard pattern in path.
Note: If you want to operation with multiple files then use wild card pattern as below (when you use wild card pattern in source path then system will treat target path as folder regardless you end with slash) C:\SSIS\Test\reponse.json (will read only single reponse.json file) C:\SSIS\Test\j*.json (all files starting with file name) C:\SSIS\Test\*.json (all files with .json Extension and located under folder subfolder)
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Now enter JSONPath expression in Array Filter textbox to extract only specific part of JSON file as below ($.value[*] will get content of value attribute from JSON document. Value attribute is array of JSON documents so we have to use [*] to indicate we want all records of that array)
NOTE: Here, We are using our desired filter, but you need to select your desired filter based on your requirement.
Click on Test Connection button to view whether the Test Connection is SUCCESSFUL or Not.$.value[*]
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Once you configured a data source, you can preview data. Hit Preview tab, and use similar settings to preview data:
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Click OK to finish creating the data source
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That's it; we are done. In a few clicks we configured the call to JSON File using ZappySys JSON File Connector
Video Tutorial
Read data in Excel from the DSN
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In Excel click Data, then select Get Data, proceed with From Other Sources and choose From ODBC item. This will get data from ODBC data source we created:
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A small window opens, then simply select the data source you created in previous steps:
JsonFileDSN
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Most likely, you will be asked to authenticate to a newly created DSN. Just select Windows authentication option together with Use my current credentials option:
JsonFileDSN
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Finally, you will be asked to select a table or view to get data from. Select one and load the data!
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Finally, finally, use data extracted from JSON File API in an Excel worksheet:
Conclusion
In this article we showed you how to connect to JSON File in MS Excel and integrate data without any coding, saving you time and effort. It's worth noting that ZappySys JSON Driver allows you to connect not only to JSON File, but to any Java application that supports JDBC (just use a different JDBC driver and configure it appropriately).
We encourage you to download JSON File Connector for MS Excel and see how easy it is to use it for yourself or your team.
If you have any questions, feel free to contact ZappySys support team. You can also open a live chat immediately by clicking on the chat icon below.
Download JSON File Connector for MS Excel Documentation
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