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The JSON Excel Add-In is a powerful tool that allows you to connect with live JSON web services directly from Microsoft Excel.

Use Excel to search, aggregate, read, write, and update live JSON services directly. Perfect for mass imports / exports / updates, data cleansing & de-duplication, Excel based data analysis, and more!

How to update JSON from Excel



This article explains how to transfer data from Excel to JSON using the Excel Add-In for JSON.

The CData Excel Add-In for JSON enables you to edit and save JSON services directly from Excel. This article explains how to transfer data from Excel to JSON. This technique is useful if you want to work on JSON services in Excel and update changes, or if you have a whole spreadsheet you want to import into JSON. In this example, you will use the people table; however, the same process will work for any table that can be retrieved by the CData Excel Add-In.

Establish a Connection

If you have not already done so, create a new JSON connection by clicking From JSON on the ribbon.

See the Getting Started chapter in the data provider documentation to authenticate to your data source: The data provider models JSON APIs as bidirectional database tables and JSON files as read-only views (local files, files stored on popular cloud services, and FTP servers). The major authentication schemes are supported, including HTTP Basic, Digest, NTLM, OAuth, and FTP. See the Getting Started chapter in the data provider documentation for authentication guides.

After setting the URI and providing any authentication values, set DataModel to more closely match the data representation to the structure of your data.

The DataModel property is the controlling property over how your data is represented into tables and toggles the following basic configurations.

  • Document (default): Model a top-level, document view of your JSON data. The data provider returns nested elements as aggregates of data.
  • FlattenedDocuments: Implicitly join nested documents and their parents into a single table.
  • Relational: Return individual, related tables from hierarchical data. The tables contain a primary key and a foreign key that links to the parent document.

See the Modeling JSON Data chapter for more information on configuring the relational representation. You will also find the sample data used in the following examples. The data includes entries for people, the cars they own, and various maintenance services performed on those cars.

Retrieve Data from JSON

To insert data into JSON, you will first need to retrieve data from the JSON table you want to add to. This links the Excel spreadsheet to the JSON table selected: After you retrieve data, any changes you make to the data are highlighted in red.

  1. Click the From JSON button on the CData ribbon. The Data Selection wizard is displayed.
  2. In the Table or View menu, select the people table.
  3. In the Maximum Rows menu, select the number of rows you want to retrieve. If you want to insert rows, you need to retrieve only one row. The Query box will then display the SQL query that corresponds to your request.
  4. In the Sheet Name box, enter the name for the sheet that will be populated. By default the add-in will create a new sheet with the name of the table.

Insert Rows to JSON

After retrieving data, you can add data from an existing spreadsheet in Excel.

  1. In a cell after the last row, enter a formula referencing the corresponding cell from the other spreadsheet; for example, =MypeopleSheetInExcel!A1.
  2. After using a formula to reference the cells you want to add to JSON, select the cells that you are inserting data into and drag the formula down as far as needed. The referenced values you want to add will be displayed on the people sheet.
  3. Highlight the rows you want to insert and click the Update Rows button.

As each row is inserted, the Id value will appear in the Id column and the row's text will change to black, indicating that the record has been inserted.