title: How to parse this JSON which starts with two square brackets?
body: <p>I have a JSON File that starts with two square brackets. How do i parse the data from it?
  The type of the JSON is class 'list'. I have gone though many Stackoverflow solutions but none of them helped. I am new to python and trying to use API extraction.</p>
  
  <pre><code>[
    [
      {
        "previous": null,
        "story_count": 3,
        "results": [
          {
            "source_name": "Fact",
            "attachments": [],
            "title": "acquire Spot",
            "duplicates": [],
            "Content Types": [
              {
                "logo": "tags-ico.png",
                "id": 3,
                "name": "News Articles"
              }
            ],
            "Triggers": [
              {
                "logo": "tags-ico.png",
                "id": 24195,
                "name": "M&amp;A"
              },
              {
                "logo": "tags-ico.png",
                "id": 24198,
                "name": "Digital"
              }
            ],
            "summary": "ways to work, interact and do business. ",
            "Channels": [
              {
                "logo": "tags-ico.png",
                "id": 17,
                "name": "Websites"
              }
            ],
            "Sources": [
              {
                "logo": "tags-ico.png",
                "id": 68636,
                "name": "Fact"
              }
            ],
            "image_url": "",
            "Duns Number": [
              {
                "logo": "tags-ico.png",
                "id": 18740,
                "name": "802054742"
              }
            ],
            "Firms": [
              {
                "logo": "400x400-18235.jpg",
                "id": 18235,
                "name": "Netapp"
              }
            ],
            "source_url": "DQCH0020200610eg6900002",
            "pub_date": "2020-06-09T00:00:00Z",
            "id": 2006108515973,
            "previews": [],
            "duplicate_count": 0
          },
          {
            "source_name": "Fact",
            "attachments": [],
            "title": "employees in next 10 months",
            "duplicates": [
              {
                "summary": "the next-generation datacentres.",
                "source_name": "Fact",
                "id": 2006098291431,
                "source_url": "0200609eg690015q",
                "title": "Alibaba Cloud to create 5,000 tech jobs in next 10 months"
              },
              {
                "summary": "servers, chips and artificial intelligence (AI). ",
                "source_name": "Mint",
                "id": 2006098297350,
                "source_url": "https:HNMINT0020200609eg69000ez",
                "title": "hire 5,000 technology talent this fiscal"
              },
              {
                "summary": "conglomerate Alibaba Group said in a statement. ",
                "source_name": "Fact",
                "id": 2006098399325,
                "source_url": "MMVTCE0020200609eg6900008",
                "title": "5,000 tech professionals this financial year"
              }
            ],
            "Content Types": [
              {
                "logo": "tags-ico.png",
                "id": 3,
                "name": "News Articles"
              }
            ],
            "Triggers": [
              {
                "logo": "tags-ico.png",
                "id": 24198,
                "name": "Digital capabilities"
              }
            ],
            "summary": "servers, chips and artificial intelligence.",
            "Channels": [
              {
                "logo": "tags-ico.png",
                "id": 17,
                "name": "News and Other Websites"
              }
            ],
            "Sources": [
              {
                "logo": "tags-ico.png",
                "id": 68636,
                "name": "Fact"
              }
            ],
            "image_url": "",
            "Duns Number": [
              {
                "logo": "tags-ico.png",
                "id": 18470,
                "name": "680536229"
              }
            ],
            "Firms": [
              {
                "logo": "rwvj6i1r_400x400-17997.jpg",
                "id": 17997,
                "name": "Alibaba Group Services Limited"
              }
            ],
            "source_url": "TELWOR0020200609eg6900001",
            "pub_date": "2020-06-09T00:00:00Z",
            "id": 2006098292712,
            "previews": [],
            "duplicate_count": 3
          },
          {
            "source_name": "Hindustan Times",
            "attachments": [],
            "title": "New technologies like AI help reduce bias",
            "duplicates": [],
            "Content Types": [
              {
                "logo": "tags-ico.png",
                "id": 3,
                "name": "News Articles"
              }
            ],
            "Triggers": [
              {
                "logo": "tags-ico.png",
                "id": 24198,
                "name": "Digital capabilities"
              },
              {
                "logo": "tags-ico.png",
                "id": 24199,
                "name": "Upskilling/ reskilling"
              }
            ],
            "summary": "the HR function.",
            "Channels": [
              {
                "logo": "tags-ico.png",
                "id": 17,
                "name": "News and Other Websites"
              }
            ],
            "Sources": [
              {
                "logo": "tags-ico.png",
                "id": 1870,
                "name": "Hindustan Times"
              }
            ],
            "image_url": "",
            "Duns Number": [
              {
                "logo": "tags-ico.png",
                "id": 15214,
                "name": "001368083"
              }
            ],
            "Firms": [
              {
                "logo": "ibm-15166.jpg",
                "id": 15166,
                "name": "IBM"
              }
            ],
            "source_url": "abcd.com",
            "pub_date": "2020-02-04T00:00:00Z",
            "id": 2006108589032,
            "previews": [],
            "duplicate_count": 0
          }
        ],
        "next": null
      }
    ]
  ]
  </code></pre>
  
  <p>I have written the below code but it's not working.</p>
  
  <pre><code>json_data=open('responsefile2.json')
  df1 = json.load(json_data)
  json_data.close()
  list_title=[]
  list_Triggers =[]
  list_Duns_Number=[]
  list_Summary=[]
  list_pub_date =[]
  list_Client_Name =[]
  list_Source_URL =[]
  for i in range(df1.shape[0]):
      data1=df1["results"][i]
      for person in data1:
          try:
              list_title.append(person['title'])
              list_Triggers.append(person['Triggers'])
              list_Duns_Number.append(person['Duns Number'])
              list_Summary.append(person['summary'])
              list_pub_date.append(person['pub_date'])
              list_Client_Name.append(person['Firms'])
              list_Source_URL.append(person['source_url'])
          except:
              print('')
  import pandas as pd
  lists = [list_Duns_Number,list_Client_Name,list_Triggers,list_title,list_Summary,list_Source_URL,list_pub_date]
  df2 = pd.concat([pd.Series(x) for x in lists], axis=1)
  </code></pre>
  
  <p>The output throws an error:</p>
  
  <blockquote>
    <p>'list' object has no attribute 'shape'</p>
  </blockquote>