Convert nested json to multiple dataframes - dynamically - json

Question

i have a question:
Is it possible read a json file and convert to dataframe dynamically?
My example is the next code:
Having this json file, i need 3 table dataframes:
{
"date_time": "01-03-2022, 15:18:32",
"regions": {
"Home Region": "Madrid",
"Primary Region": "Barcelona",
"Secondary Region": "Rio"
},
"customers": [
{
"name": "campo santo",
"address": "rua trebal 1",
"phone": 987456321,
"parking": true
},
{
"name": "santo da silva",
"address": "rua sama 6",
"phone": 654321987,
"parking": false
},
{
"name": "roger campos",
"address": "av casal 10",
"phone": 684426654,
"parking": true
}
],
"office": [
{
"location": "madrid",
"co_working_spaces": 25,
"kitchen": false,
"food_track": 2,
"internal_staff": [
{
"id": 123,
"name": "pablo"
},
{
"id": 874,
"name": "saul"
},
{
"id": 741,
"name": "maria"
}
]
},
{
"location": "rio",
"co_working_spaces": 55,
"kitchen": true,
"food_track": 4,
"internal_staff": [
{
"id": 784,
"name": "raquel"
},
{
"id": 874,
"name": "pedro"
},
{
"id": 145,
"name": "maria"
},
{
"id": 365,
"name": "rocio"
}
]
},
{
"location": "barcelona",
"co_working_spaces": 5,
"kitchen": false,
"food_track": 1,
"internal_staff": [
]
},
{
"location": "la",
"co_working_spaces": 5,
"kitchen": true,
"food_track": 4,
"internal_staff": [
{
"id": 852,
"name": "maria"
},
{
"id": 748,
"name": "sara"
}
]
}
]
}
this is my python code:
import pandas as pd
# from pandas.io.json import json_normalize
import json
with open('offices.json') as f:
dt = json.load(f)
# df = pd.json_normalize(dt)
df1 = pd.json_normalize(dt, 'customers', 'date_time')[['name', 'address', 'phone', 'parking', 'date_time']]
print(df1)
df2 = pd.json_normalize(dt, 'office', 'date_time')[['location', 'co_working_spaces', 'kitchen', 'food_track']]
print(df2)
df3 = pd.json_normalize(dt['office'], 'internal_staff', 'location')
print(df3)
With this code, i got my 3 table dataframes. But i have to know the json structure to create the dataframes.
So is it possible to do it dynamically ?
Regards