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Is there a better approach for getting nested JSON into a Pandas datafame?

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I am trying to get the following data from the json below, and include it in a Pandas dataframe:

  • email
  • Referrer URL

The challenge I have is that 'email' is nested within the value of form fields in attributes, and referrer URL is nested in attributes too.

 {'id': 14115353751810,'toolGUID': '14115353751810','leadId': 2774S2598290580983086,'activityDate': '2021-07-01T01:09:21Z','activityTypeId': 2,'primaryAttributeValueId': 12345,'primaryAttributeValue': 'exampleform2','attributes': [{'name': 'Client IP Address', 'value': '----'},   {'name': 'Form Fields','value': 'a:34:{s:6:"module";s:11:"leadCapture";s:6:"action";s:5:"save2";s:9:"FirstName";s:7:"examplefirst";s:8:"examplelast";s:3:"Guo";s:5:"Email";s:23:"example@example.com";s:7:"Company";s:14:"Example Co";s:7:"Country";s:5:"United States";s:10:"emailValid";s:2:"no";s:5:"segment";s:15:"Sport";s:5:"utmcampaign";s:0:"";s:10:"utmcontent";s:0:"";s:9:"utmmedium";s:0:"";s:9:"utmsource";s:0:"";s:7:"utmterm";s:0:"";s:12:"formLanguage";s:2:"en";}'},   {'name': 'Query Parameters', 'value': ''},   {'name': 'Referrer URL','value': 'https://example.com'},   {'name': 'User Agent','value': 'Mozilla/5.0 (Windows NT 10.0; WOW64; Trident/7.0; rv:11.0) like Gecko'},   {'name': 'Webpage ID', 'value': 1168250}]}

Below is my code. Is Json normalize the right direction?

import pandas as pdfrom pandas.io.json import json_normalizeimport json # The module we need to decode JSONact = mc.execute(method='get_lead_activities', activityTypeIds=['2'], nextPageToken=None,     sinceDatetime='2021-07-01', untilDatetime='2021-07-02',     batchSize=None, listId=None,)df = pd.json_normalize(act, 'attributes', ['id','primaryAttributeValueId','primaryAttributeValue','activityDate'],                    record_prefix='attributes_')print(df)

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