Convert JSON data Into a Custom Python Object

Last Updated : 16 Dec, 2021

Let us see how to convert JSON data into a custom object in Python. Converting JSON data into a custom python object is also known as decoding or deserializing JSON data. To decode JSON data we can make use of the json.loads(), json.load() method and the object_hook parameter. The object_hook parameter is used so that, when we execute json.loads(), the return value of object_hook will be used instead of the default dict value.We can also implement custom decoders using this.
Example 1 :

Python3

# importing the module
import json
from collections import namedtuple

# creating the data
data = '{"name" : "Geek", "id" : 1, "location" : "Mumbai"}'

# making the object
x = json.loads(data, object_hook =
               lambda d : namedtuple('X', d.keys())
               (*d.values()))

# accessing the JSON data as an object
print(x.name, x.id, x.location)

Output :

As we can see in the above example, the namedtuple is a class, under the collections module. It contains keys that are mapped to some values. In this case, we can access the elements using keys and indexes. We can also create a custom decoder function, in which we can convert dict into a custom Python type and pass the value to the object_hook parameter which is illustrated in the next example.
Example 2 :

Python3

# importing the module
import json
from collections import namedtuple

# customDecoder function
def customDecoder(geekDict):
    return namedtuple('X', geekDict.keys())(*geekDict.values())

# creating the data
geekJsonData = '{"name" : "GeekCustomDecoder", "id" : 2, "location" : "Pune"}'

# creating the object
x = json.loads(geekJsonData, object_hook = customDecoder)

# accessing the JSON data as an object
print(x.name, x.id, x.location)

Output :

We can also use SimpleNamespace class from the types module as the container for JSON objects. Advantages of a SimpleNamespace solution over a namedtuple solution: –

It is faster because it does not create a class for each object.
It is shorter and simpler.

Example 3 :

Python3

# importing the module
import json
try:
    from types import SimpleNamespace as Namespace
except ImportError:
    from argparse import Namespace

# creating the data
data = '{"name" : "GeekNamespace", "id" : 3, "location" : "Bangalore"}'

# creating the object
x = json.loads(data, object_hook = lambda d : Namespace(**d))

# accessing the JSON data as an object
print(x.name, x.id, x.location)