For more information, see the section, About all those queries. The query steps and columns created depend on which command you choose. Power Query automatically creates a query to consolidate the data from each file into a worksheet.
Select Home, the arrow next to Remove Columns, and then select Remove Other Columns. Select all the columns that contain data values. You may want to clear the Use original column name as a prefix check box. The Value column is now a structured Record column. Select the Expand icon, and then select Expand to New rows. The Value column is a structured List column. There are additional commands discussed in the section About all those commands. To help illustrate how to use the Parse command, the following sample data starts with JSON and XML data entered as text fields. You can parse (or deconstruct) the contents of a column with text strings that contain JSON or XML. Select one of the commands at the bottom of the dialog box, for example Combine > Combine & Transform. Parse text as JSON or XML (Power Query) Excel for Microsoft 365 Excel for the web. Verify that all the files you want are listed. The files you want to combine are still in the folder, but just not visible.Ī list of the files in the folder appears in the dialog box. Note The message “No items match your search” means Power Query has found a folder and it’s displayed in the Folder name box. Locate the folder containing the files you want to combine. This library provides functionality to create and manipulate Excel files programmatically.īy following these steps, you can convert the JSON data downloaded from Form Recognizer Studio to an Excel file without relying on the menu button in Power Automate.Select Data > Get Data > From File > From Folder.
Once you have the data in a suitable format, use the Pandas library in Python to create a DataFrame, which is a tabular data structure that can be easily exported to Excel.įinally, use the openpyxl library in Python to export the DataFrame to an Excel file. You can use the JSON library in Python to parse the JSON data into a structured format. Write a script or code to read the JSON data from the file and convert it into a suitable format for Excel. Use a programming language or tool that supports JSON parsing and Excel manipulation, such as Python with the Pandas and openpyxl libraries. Save the JSON data downloaded from Form Recognizer Studio to a local file on your computer. If you're experiencing issues with a missing menu button on Power Automate for converting JSON downloaded from Form Recognizer Studio to Excel, there are alternative methods you can try to accomplish the task.
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