Get PowerBi Audience users via REST API?

Well i managed to extract the audiance data via the API you have to set a timer after each rest call for 2.5 seconds to avoid the "Too Many requests error"

Code Below if anyone finds it usefull.

def GET_GROUPS(WorkspaceId):    
    Token = 'Bearer TOKEN HERE'

    url = 'https://wabi-north-europe-l-primary-redirect.analysis.windows.net/metadata/appmodel/apps/'+WorkspaceId+'?requestDataType=7&access-control-allow-credentials=true';
    headers = {"Accept":"application/json","Authorization":Token}

    response = requests.get(url, headers = headers)
    if response.status_code == 200:
        return response.json()
    else:
        print("Error: ", response.status_code)
    return response.json()

then you have to ge the Audience data.

def Clean_Result(df,Group):
    #Create empty dataframe
    df_empty = pd.DataFrame(columns=['Group','providerId','AppId','AppDisplayName','AudienceName','reportId','Users','AdName'],dtype='string')

    #fill the empty dataframe with the values from the json file

    try:
        for i in range(len(df['appViewDetails'][0])):
            for j in range(len(df['appViewDetails'][0][i]['reportIds'])):
                for k in range(len(df['appViewDetails'][0][i]['contentProviderPermissions']['adUserMetadataList'])):
                    new_row = pd.DataFrame({"Group": [Group], 
                            "providerId": [df['providerId'][0]]
                            ,"AppId": [df['providerKey'][0]]
                            ,"AppDisplayName": [df['displayText'][0]]
                            ,"AudienceName":[df['appViewDetails'][0][i]['viewName']]
                            ,"reportId":[df['appViewDetails'][0][i]['reportIds'][j]]
                            ,"Users":[df['appViewDetails'][0][i]['contentProviderPermissions']['adUserMetadataList'][k]['userPrincipalName']]
                            ,"AdName":[df['appViewDetails'][0][i]['contentProviderPermissions']['adUserMetadataList'][k]['displayName']]})
                    df_empty = df_empty.append(new_row)

        dfs['vw_Audience_tmp'] = pandas_to_spark(df_empty)
        return dfs['vw_Audience_tmp'] 
       
    except:
        print("No data for this group")
        return dfs['vw_Audience_tmp']

stick this in a loop 

with a timer

for each in dfs['vw_Groups'].collect(): 
    time.sleep(2.5)       
    df = pd.json_normalize(GET_GROUPS(each['Id']))
    df2 = Clean_Result(df,each['Id'])

    if not df2.isEmpty():
        df3 =  df3.union(df2)

dfs['vw_Audience2'] = df3

dfs['vw_Audience2'].createOrReplaceTempView('vw_Audience2')

its not perfect but it does the job untill MS decide to get an official API