Extract only certain text which are needed

[snippsat]

The data is probably coming from a Json and has been now encoded to a Python dictionary.
Then work with dictionary no regex need.

data = {
  "_index": "testdataset",
  "_type": "_doc",
  "_id": "11234567891098646",
  "_score": 1,
  "_source": {
    "_class": "net.local.host.ca",
    "orderNo": "16536668566434698646",
    "orderDt": "20220527",
    "source": 0,
    "mchntId": "0000000002",
    "mchntOrderNo": "01a3f2b53d16290f41f",
    "appid": "0000000003",
    "payChannelId": "payid",
    "amount": 300,
    "clientIp": "192.168.0.1",
    "currency": "0",
    "subject": "",
    "body": "",
    "cpChannel": "google_upi",
    "timeExpire": 1653678578000,
    "description": "",
    "created": 1653657857000,
    "timePaid": 1653657876000,
    "bankType": "",
    "paySt": 2,
    "refundSt": 0,
    "refundedAmt": 0,
    "checkSt": 0,
    "fee": 21,
    "chnlFee": 9,
    "settleSt": 1,
    "rutId": "0000000098",
    "bankRspDesc": "",
    "bankTransactionId": "20220527212419602959728091384475",
    "credential": "214721678116",
    "notifyUrl": "https://localhost/test/site",
    "pageNotifyUrl": "https://localhost/test/site",
    "notifyCnt": 0,
    "notifySt": 0,
    "openId": "",
    "extra": "",
    "countryId": "Brazil",
    "areaId": "",
    "regionId": "brazil",
    "cityId": "toto",
    "countyId": "",
    "modified": 1124657876000,
    "channlInfoId": "b0768be2248a4aee94ac747c2ab0000",
    "email": "[email protected]",
    "mobile": "100000012457",
    "accountOwner": "Tom Hank",
    "merchantParam": "game",
    "transTp": 0,
    "payAccount": "",
    "payType": "",
    "bankCode": "",
    "settleBatchNo": "2022124578950",
    "startRow": 0,
    "pageSize": 0
  }
}

Use.

>>> data['_id']
11234567891098646

>>> data["_source"]["amount"]
300
>>> data["_source"]["countryId"]
Brazil