title: parsing nested JSON into multiple dataframe using pandas python
body: <p>I have a nested JSON as shown below and want to parse into multiple dataframe in python .. please help</p>
  
  <pre><code>{
  "tableName": "cases",
  "url": "EndpointVoid",
  "tableDataList": [{
      "_id": "100017252700",
      "title": "Test",
      "type": "TECH",
      "created": "2016-09-06T19:00:17.071Z",
      "createdBy": "193164275",
      "lastModified": "2016-10-04T21:50:49.539Z",
      "lastModifiedBy": "1074113719",
      "notes": [{
          "id": "30",
          "title": "Multiple devices",
          "type": "INCCL",
          "origin": "D",
          "componentCode": "PD17A",
          "issueCode": "IP321",
          "affectedProduct": "134322",
          "summary": "testing the json",
  
          "caller": {
              "email": "katie.slabiak@spps.org",
              "phone": "651-744-4522"
          }
      }, {
          "id": "50",
          "title": "EDU: Multiple Devices - Lightning-to-USB Cable",
          "type": "INCCL",
          "origin": "D",
          "componentCode": "PD17A",
          "issueCode": "IP321",
          "affectedProduct": "134322",
          "summary": "parsing json 2",
          "caller": {
              "email": "testing1@test.org",
              "phone": "123-345-1111"
          }
      }],
      "syncCount": 2316,
      "repair": [{
              "id": "D208491610",
              "created": "2016-09-06T19:02:48.000Z",
              "createdBy": "193164275",
              "lastModified": "2016-09-21T12:49:47.000Z"
          }, {
              "id": "D208491610"
          }, {
              "id": "D208491628",
              "created": "2016-09-06T19:03:37.000Z",
              "createdBy": "193164275",
              "lastModified": "2016-09-21T12:49:47.000Z"
          }
  
      ],
      "enterpriseStatus": "8"
  }],
  "dateTime": 1475617849,
  "primaryKeys": ["$._id"],
  "primaryKeyVals": ["100017252700"],
  "operation": "UPDATE"
  </code></pre>
  
  <p>}</p>
  
  <p>I want to parse this and create 3 tables/dataframe/csv as shown below.. please help..</p>
  
  <p><a href="https://i.stack.imgur.com/NTHwa.png" rel="nofollow">Output table in this format</a></p>