Extracting lists in a list in pandas

I have an API response that returns a SUDS object, which I then convert to a dict using this:

DICT (campaign)

The problem I have is that I cannot figure out how to convert this list to a usable Dataframe. If I try this:

for_merge_ids = dict(campaigns)
test = pd.DataFrame.from_dict(for_merge_ids)

      

        
        
        
      

    

The lawsuit looks like this:

(campaign){
     campaignID = 77705
     campaignName = "FLI - Tablet"
     campaignBid = 
        (bidInformation){
           biddingStrategy = "Cpc"
           cpcBid = 
              (CPCBid){
                 cpc = 0
              }
           cpaBid = None
        }
     budgetID = 0
     remainingDays = 5
     status = "RUNNING"
     categoryBids = 
        (ArrayOfCategoryBid){
           categoryBid[] = 
              (categoryBid){
                 campaignCategoryUID = 0
                 campaignID = 77705
                 categoryID = 0
                 selected = True
                 bidInformation = 
                    (bidInformation){
                       biddingStrategy = "Cpc"
                       cpcBid = 
                          (CPCBid){
                             cpc = 0
                          }
                       cpaBid = None
                    }
              },
              (categoryBid){
                 campaignCategoryUID = 0
                 campaignID = 77705
                 categoryID = 0
                 selected = True
                 bidInformation = 
                    (bidInformation){
                       biddingStrategy = "Cpc"
                       cpcBid = 
                          (CPCBid){
                             cpc = 0.12
                          }
                       cpaBid = None
                    }
              },
              (categoryBid){
                 campaignCategoryUID = 2289648
                 campaignID = 77705
                 categoryID = 1676592472
                 selected = True
                 bidInformation = 
                    (bidInformation){
                       biddingStrategy = "Cpc"
                       cpcBid = 
                          (CPCBid){
                             cpc = 0
                          }
                       cpaBid = None
                    }
              },
              (categoryBid){
                 campaignCategoryUID = 0
                 campaignID = 77705
                 categoryID = 0
                 selected = True
                 bidInformation = 
                    (bidInformation){
                       biddingStrategy = "Cpc"
                       cpcBid = 
                          (CPCBid){
                             cpc = 0
                          }
                       cpaBid = None
                    }
              },
        }
   }]}

      

        
        
        
      

    

(although I just want the campaign (with the campaign name) and not others (like budget, arrayofcategorybid, etc.)

I have also tried to specify both types of orientation. I get a dataframe, but with each "list" it is repeated and the columns are not understood - like this:

campaign
0  [(campaignID, 4584), (campaignName, Before Clo...
1  [(campaignID, 5304), (campaignName, Before Clo...
2  [(campaignID, 5305), (campaignName, Before Clo...
3  [(campaignID, 5598), (campaignName, After), (e...
4  [(campaignID, 5684), (campaignName, Before far...
5  [(campaignID, 5685), (campaignName, Before far...

      

        
        
        
      

    

Etc..

Can you help me point out how to get the headers of each of these lines and use them in a df style?

thank