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How to convert a nested JSON consisting of lists, ints, dicts, strs and None to pandas dataframe?

I have the following JSON structure, { 'total_numbers':1, 'data':[ { 'col3':'2', 'col4':[ { 'col5':'P', 'col6':'H' } ], 'col7':'2023-06-19T09:29:28.786Z', 'col9':{ 'col10':'TEST', 'col11':'[email protected]', 'col12':'True', 'col13':'999', 'col14':'9999' }, 'col15':'2023-07-10T04:46:43.003Z', 'col16':False, 'col17':[ { 'col18':'S', 'col19':'H' } ], 'col20':True, 'col21':{ 'col22':'sss', 'col23':'0.0.0.0', 'col24':'lll' }, 'col25':0,…

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