`[(deliveryObject){
   id = "0bf003ee0000000000000000000002a11cb6"
   start = 2019-01-02 09:30:00
   messageId = "68027b94b892396ed29581cde9ad07ff"
   status = "sent"
   type = "normal"
   }, (deliveryObject){
   id = "0bf0BE3ABFFDF8744952893782139E82793B"
   start = 2018-12-29 23:00:00
   messageId = "0bc403eb0000000000000000000000113404"
   status = "sent"
   type = "transactional"
 }, (deliveryObject){
   id = "0bf0702D03CB42D848CBB0B0AF023A87FA65"
   start = 2018-12-29 23:00:00
   messageId = "0bc403eb0000000000000000000000113403"
   status = "sent"
   type = "transactional"
   }
]`

from suds.client import Client

list_of_deliveryObjects = [(deliveryObject){
   id = "0bf003ee0000000000000000000002a11cb6"
   start = 2019-01-02 09:30:00
   messageId = "68027b94b892396ed29581cde9ad07ff"
   status = "sent"
   type = "normal"
   }, (deliveryObject){
   id = "0bf0BE3ABFFDF8744952893782139E82793B"
   start = 2018-12-29 23:00:00
   messageId = "0bc403eb0000000000000000000000113404"
   status = "sent"
   type = "transactional"
 }, (deliveryObject){
   id = "0bf0702D03CB42D848CBB0B0AF023A87FA65"
   start = 2018-12-29 23:00:00
   messageId = "0bc403eb0000000000000000000000113403"
   status = "sent"
   type = "transactional"
   }
]


data = [Client.dict(suds_object) for suds_object in list_of_deliveryObjects]
df = pd.DataFrame(data)

import re
import pandas as pd

x = """[(deliveryObject){
   id = "0bf003ee0000000000000000000002a11cb6"
   start = 2019-01-02 09:30:00
   messageId = "68027b94b892396ed29581cde9ad07ff"
   status = "sent"
   type = "normal"
   }, (deliveryObject){
   id = "0bf0BE3ABFFDF8744952893782139E82793B"
   start = 2018-12-29 23:00:00
   messageId = "0bc403eb0000000000000000000000113404"
   status = "sent"
   type = "transactional"
 }, (deliveryObject){
   id = "0bf0702D03CB42D848CBB0B0AF023A87FA65"
   start = 2018-12-29 23:00:00
   messageId = "0bc403eb0000000000000000000000113403"
   status = "sent"
   type = "transactional"
   }
]"""

a = re.sub(' =', ':', x)
a = re.sub('(deliveryObject)', '', a)

for x in ['id', 'start', 'messageId', 'status', 'type']:
    a = re.sub(x, '''+x+''', a)

a = re.sub("(?<=["0])n(?= +?['])", 'n,', a)
a = re.sub('(?<=[0])n(?=,)', '"n', a)
a = re.sub('(?<=[:]) (?=[0-9])', ' "', a)
a = re.sub('(?<= )"(?=[w])', '["', a)
a = re.sub('(?<=[w])"(?=n)', '"]', a)

list_of_dict = eval(a)
df = pd.DataFrame(list_of_dict[0])
print(df.head())

                                     id                start                         messageId status    type
0  0bf003ee0000000000000000000002a11cb6  2019-01-02 09:30:00  68027b94b892396ed29581cde9ad07ff   sent  normal

import pandas as pd
lst =[{
   'id':"0bf003ee0000000000000000000002a11cb6",
   'start' : "2019-01-02 09:30:00",
   'messageId': "68027b94b892396ed29581cde9ad07ff",
   'status' : "sent",
   'type' : "normal"
   },{
   'id' :  "0bf0BE3ABFFDF8744952893782139E82793B",
   'start' :  "2018-12-29 23:00:00",
   'messageId' :  "0bc403eb0000000000000000000000113404",
   'status' :  "sent",
   'type' :  "transactional"
 }, {
   'id' :  "0bf0702D03CB42D848CBB0B0AF023A87FA65",
   'start' :  "2018-12-29 23:00:00",
   'messageId' :  "0bc403eb0000000000000000000000113403",
   'status' :  "sent",
   'type' :  "transactional"
   }]
df = pd.DataFrame(lst)
df

id  messageId   start   status  type
0   0bf003ee0000000000000000000002a11cb6    68027b94b892396ed29581cde9ad07ff    2019-01-02 09:30:00 sent    normal
1   0bf0BE3ABFFDF8744952893782139E82793B    0bc403eb0000000000000000000000113404    2018-12-29 23:00:00 sent    transactional
2   0bf0702D03CB42D848CBB0B0AF023A87FA65    0bc403eb0000000000000000000000113403    2018-12-29 23:00:00 sent    transactional