Example code to generate JSON from 2 prior lists. Pulled from code that takes 2 DataFrames, one that list members to a add, and one that includes members to remove, then generates nested JSON.

GenerateJsonExample.py

import pandas as pd
import json

memberChange = []

for email in df_add.values:
        try:
              if email:
                memberChange.append({'Email': email[0], 'MemberName': '', 'MemberType': 'Person', 'Action': 'Add'})
        except:
                pass

for email in df_remove.values:
        try:
          if email:
                memberChange.append({'Email': email[0], 'MemberName': '', 'MemberType': 'Person', 'Action': 'Remove'})
        except:
            pass

data = {}
data['GroupName'] = group_name
data['ManagerName'] = manager_name
data['Members'] = memberChange
json_data = json.dumps(data)

print(json_data)