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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. 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. The complete code with the result is shown below : Code: Python3 import pandas as pd df1 pd.readjson file1. Step 3: Convert the concatenated dataframe into CSV file. Step 2 : Concatenate the dataframes into one dataframe. You can use the JSON library in Python to parse the JSON data into a structured format. Step 1: Load the json files with the help of pandas dataframe. 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.