Loading multiple JSON files to create a csv

[0LI5A3A]

Hello,

I need some advice about what I need to do to be able to load multiple files in JSON format to create one big file in CSV.

This is the type of the files which I need to load:

Output:
{
  "jobID" : 1235,
  "requestId" : "aaaa",
  "deliveryPoints" : [ {
    "Id" : 456789123,
    "endpointId" : "99-8x"
  }, {
    "Id" : 567891234,
    "endpointId" : "30-82"
  }, {
    "Id" : 678912345,
    "endpointId" : "30-EB"
  } ],
  "numberOfDA" : 4169,
  "numberOfDC" : 3,
  "jbStartDate" : 1590943497648,
  "startDate" : 1590662198157,
  "eDate" : 1591035600679,
  "stopDate" : 1590971406468,
  "State" : "ABORTED",
  "completedD" : 0,
  "loadSS" : 0,
  "loadSR" : 0,
  "Cycle" : 0,
  "carouselBN" : 0,
  "imageCS" : 0,
  "imageCR" : 0,
  "missingBS" : 0,
  "abortedByU" : "EAEA",
  "abortedRe" : "bla bla bla",
  "abortedDuringState" : "Prod",
  "hostname" : [ "xx-xx" ],
  "missingB" : 0,
  "totalB" : 0,
  "failedDA" : [ {
  "UniID": 456789123,
  "state": "Validation rejected",
  "stateDetalil": "network down."
}, {
  "UniID": 567891234,
  "state": "Validation rejected",
  "stateDetalil": "network down."
}, {
  "UniID": 678912345,
  "state": "Validation rejected",
  "stateDetalil": "network down."
}]
}

I have tried to use this code but like you can see that I can't integrate "failedDA" like I did with "deliveryPoints".

I have all the files locally but I am struggled to load all the files in one go.

import pandas as pd 
import json 
from pandas.io.json import json_normalize

with open('C:/Users/0li5a3a/Desktop/data/test.json') as f: 
d = json.load(f)
result = json_normalize(d, 'deliveryPoints', ['jobID','requestId', 'Id','numberOfDA','numberOfDC','jbStartDate','startDate','eDate','stopDate','State','completedDA','loadSS','loadSR','Cycle','carouselBN','imageCS','imageCR','missingBS','hostname','missingB','totalB','failedDA'])
result.to_csv('C:/Users/0li5a3a/Desktop/data/test.csv')

Many thanks!
0LI5A3A