UPDATE
With Python3, you can do it in one line, using SimpleNamespace and object_hook:
import json
from types import SimpleNamespace
data = '{"name": "John Smith", "hometown": {"name": "New York", "id": 123}}'
# Parse JSON into an object with attributes corresponding to dict keys.
x = json.loads(data, object_hook=lambda d: SimpleNamespace(**d))
# Or, in Python 3.13+:
# json.loads(data, object_hook=SimpleNamespace)
print(x.name, x.hometown.name, x.hometown.id)
OLD ANSWER (Python2)
In Python2, you can do it in one line, using namedtuple and object_hook (but it's very slow with many nested objects):
import json
from collections import namedtuple
data = '{"name": "John Smith", "hometown": {"name": "New York", "id": 123}}'
# Parse JSON into an object with attributes corresponding to dict keys.
x = json.loads(data, object_hook=lambda d: namedtuple('X', d.keys())(*d.values()))
print x.name, x.hometown.name, x.hometown.id
or, to reuse this easily:
def _json_object_hook(d): return namedtuple('X', d.keys())(*d.values())
def json2obj(data): return json.loads(data, object_hook=_json_object_hook)
x = json2obj(data)
If you want it to handle keys that aren't good attribute names, check out namedtuple's rename parameter.
Python
docs.python.org › 3 › library › json.html
JSON encoder and decoder — Python 3.14.3 documentation
4 weeks ago - Identical to load(), but instead of a file-like object, deserialize s (a str, bytes or bytearray instance containing a JSON document) to a Python object using this conversion table.
W3Schools
w3schools.com › python › python_json.asp
Python JSON
JSON is text, written with JavaScript object notation. Python has a built-in package called json, which can be used to work with JSON data. ... If you have a JSON string, you can parse it by using the json.loads() method.
How to convert JSON data into a Python object? - Stack Overflow
I have written a small (de)serialization framework called any2any that helps doing complex transformations between two Python types. In your case, I guess you want to transform from a dictionary (obtained with json.loads) to an complex object response.education ; response.name, with a nested ... More on stackoverflow.com
How should/can I convert loaded JSON data into Python objects?
I have JSON input like this: { ... a Python object in a way similar to how serde from Rust works. I would like to define a class like this: @dataclass class MyClass: accountID: str accountClass: str id: str openTime: str priceDifference: float After loading the JSON data what ... More on discuss.python.org
0
1
October 25, 2022How to turn JSON into objects in python?
It's easier (and probably better) if you define the class first. Then, turn the json into a dict, then into an instance of that class. import json class Person: def __init__(self, name, job): self.name = name self.job = job person_json = '''{ "name":"Harry", "job":"Mechanic" }''' person_dict = json.loads(person_json) person = Person(**person_dict) Edit: Sorry I didn't answer your exact question. But maybe that was still helpful. There's also attrdict . Making a whole class from a dict is certainly possible, but not something most people would want to do. And when you say "yield", do you mean you want the Person definition as Python code, or the Person class object? More on reddit.com
8
2
September 2, 2021python - Loading and parsing a JSON file with multiple JSON objects - Stack Overflow
I am trying to load and parse a JSON file in Python. But I'm stuck trying to load the file: import json json_data = open('file') data = json.load(json_data) Yields: ValueError: Extra data: line 2 More on stackoverflow.com
Videos
03:30
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How to Save and Load Data in Python Using JSON Files | Python JSON ...
09:07
How to Convert JSON Data Into a Python Object - YouTube
14:27
Python JSON Parsing: A Step-by-Step Guide to Extract Data from ...
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JSON Python tutorial: what is JSON and how to parse JSON data with ...
Real Python
realpython.com › python-json
Working With JSON Data in Python – Real Python
August 20, 2025 - By using json.loads(), you can convert JSON data back into Python objects.
GeeksforGeeks
geeksforgeeks.org › python › json-load-in-python
json.load() in Python - GeeksforGeeks
August 11, 2025 - Values can be different JSON data types such as strings, numbers, booleans, arrays, or other JSON objects. json.load() function in Python is used to read a JSON file and convert it into a corresponding Python object, such as a dictionary or a list.
Top answer 1 of 16
735
UPDATE
With Python3, you can do it in one line, using SimpleNamespace and object_hook:
import json
from types import SimpleNamespace
data = '{"name": "John Smith", "hometown": {"name": "New York", "id": 123}}'
# Parse JSON into an object with attributes corresponding to dict keys.
x = json.loads(data, object_hook=lambda d: SimpleNamespace(**d))
# Or, in Python 3.13+:
# json.loads(data, object_hook=SimpleNamespace)
print(x.name, x.hometown.name, x.hometown.id)
OLD ANSWER (Python2)
In Python2, you can do it in one line, using namedtuple and object_hook (but it's very slow with many nested objects):
import json
from collections import namedtuple
data = '{"name": "John Smith", "hometown": {"name": "New York", "id": 123}}'
# Parse JSON into an object with attributes corresponding to dict keys.
x = json.loads(data, object_hook=lambda d: namedtuple('X', d.keys())(*d.values()))
print x.name, x.hometown.name, x.hometown.id
or, to reuse this easily:
def _json_object_hook(d): return namedtuple('X', d.keys())(*d.values())
def json2obj(data): return json.loads(data, object_hook=_json_object_hook)
x = json2obj(data)
If you want it to handle keys that aren't good attribute names, check out namedtuple's rename parameter.
2 of 16
206
You could try this:
class User():
def __init__(self, name, username):
self.name = name
self.username = username
import json
j = json.loads(your_json)
u = User(**j)
Just create a new object and pass the parameters as a map.
You can have a JSON with objects too:
import json
class Address():
def __init__(self, street, number):
self.street = street
self.number = number
def __str__(self):
return "{0} {1}".format(self.street, self.number)
class User():
def __init__(self, name, address):
self.name = name
self.address = Address(**address)
def __str__(self):
return "{0} ,{1}".format(self.name, self.address)
if __name__ == '__main__':
js = '''{"name":"Cristian", "address":{"street":"Sesame","number":122}}'''
j = json.loads(js)
print(j)
u = User(**j)
print(u)
GeeksforGeeks
geeksforgeeks.org › python › json-loads-in-python
json.loads() in Python - GeeksforGeeks
Explanation: json.loads(s) parses the JSON string s and converts it into a Python dict. ... Return Type: Returns a Python object such as dict, list, int, float, or str depending on the JSON content.
Published January 13, 2026
Imperial College London
python.pages.doc.ic.ac.uk › java › lessons › java › 10-files › 03-load.html
Python for Java Programmers > Loading JSON files
To load your data from a JSON file, use json.load(file_object). The following code loads the content from a file called input.json into a Python object named data.
Programiz
programiz.com › python-programming › json
Python JSON: Read, Write, Parse JSON (With Examples)
You can use json.load() method to read a file containing JSON object.
Zyte
zyte.com › home › blog › json parsing with python [practical guide]
JSON Parsing with Python [Practical Guide]
July 6, 2023 - The json module provides two methods, loads and load, that allow you to parse JSON strings and JSON files, respectively, to convert JSON into Python objects such as lists and dictionaries.
Medium
medium.com › @gadallah.hatem › the-difference-between-json-loads-and-json-load-2dbd30065f26
The difference between json.loads() and json.load() in Python | by Hatem A. Gad | Medium
December 15, 2024 - Input: A file object or any object supporting .read() method (e.g., opened file). Use Case: When you are working with JSON data stored in a file. import json # JSON file (e.g., data.json containing {"name": "Alice", "age": 30, "is_member": true}) with open('data.json', 'r') as file: # Convert JSON data in the file to Python dictionary data = json.load(file) print(data) # Output: {'name': 'Alice', 'age': 30, 'is_member': True}
Codecademy
codecademy.com › docs › python › json module › .load()
Python | JSON Module | .load() | Codecademy
May 29, 2025 - Returns a Python object (dictionary, list, string, number, boolean, or None) representing the parsed JSON data. This example demonstrates the fundamental usage of json.load() to read JSON data from a file:
Tutorialspoint
tutorialspoint.com › python › json_load_function.htm
Python json.load() Function
The Python json.load() function is used to read JSON data from a file and convert it into a corresponding Python object. This function is useful when dealing with data stored in JSON format, such as configuration files, API responses, or structured
GeeksforGeeks
geeksforgeeks.org › python › read-json-file-using-python
Read JSON file using Python - GeeksforGeeks
... We will be using Python’s json module, which offers several methods to work with JSON data. In particular, loads() and load() are used to read JSON from strings and files, respectively.
Published September 15, 2025
Python.org
discuss.python.org › python help
How should/can I convert loaded JSON data into Python objects? - Python Help - Discussions on Python.org
October 25, 2022 - I have JSON input like this: { ... a Python object in a way similar to how serde from Rust works. I would like to define a class like this: @dataclass class MyClass: accountID: str accountClass: str id: str openTime: str priceDifference: float After loading the JSON data what ...
Reddit
reddit.com › r/learnpython › how to turn json into objects in python?
r/learnpython on Reddit: How to turn JSON into objects in python?
September 2, 2021 -
I have never done this in python before but I'm pretty sure I could turn the retrieved JSON into a dictionary, but what is the best practice to convert the retrieved JSON into a class with its properties being items from the JSON.
So for example
{
"name":"Harry",
"job":"Mechanic"
}would yield
class Person:
def __init__(self, name, job):
self.name = name
self.job = jobAlso is there an easier way to do this.. something like a factory constructor.. ?
Top answer 1 of 3
5
It's easier (and probably better) if you define the class first. Then, turn the json into a dict, then into an instance of that class. import json class Person: def __init__(self, name, job): self.name = name self.job = job person_json = '''{ "name":"Harry", "job":"Mechanic" }''' person_dict = json.loads(person_json) person = Person(**person_dict) Edit: Sorry I didn't answer your exact question. But maybe that was still helpful. There's also attrdict . Making a whole class from a dict is certainly possible, but not something most people would want to do. And when you say "yield", do you mean you want the Person definition as Python code, or the Person class object?
2 of 3
1
You could also look into data classes and use the ‘**kwargs’ syntax.
freeCodeCamp
freecodecamp.org › news › loading-a-json-file-in-python-how-to-read-and-parse-json
Loading a JSON File in Python – How to Read and Parse JSON
July 25, 2022 - For managing JSON files, Python has the json module. This module comes with many methods. One of which is the loads() method for parsing JSON strings.
PYnative
pynative.com › home › python › json › python json parsing using json.load() and loads()
Python JSON Parsing using json.load() and loads()
May 14, 2021 - As we already discussed in the article, a object_pairs_hook parameter of a json.load() method is an optional function that will be called with the result of any object literal decoded with an ordered list of pairs.
Leapcell
leapcell.io › blog › how-to-read-json-in-python
How to Read JSON in Python | Leapcell
July 25, 2025 - Use json.loads() to parse JSON strings into Python objects.
Top answer 1 of 7
316
You have a JSON Lines format text file. You need to parse your file line by line:
import json
data = []
with open('file') as f:
for line in f:
data.append(json.loads(line))
Each line contains valid JSON, but as a whole, it is not a valid JSON value as there is no top-level list or object definition.
Note that because the file contains JSON per line, you are saved the headaches of trying to parse it all in one go or to figure out a streaming JSON parser. You can now opt to process each line separately before moving on to the next, saving memory in the process. You probably don't want to append each result to one list and then process everything if your file is really big.
If you have a file containing individual JSON objects with delimiters in-between, use How do I use the 'json' module to read in one JSON object at a time? to parse out individual objects using a buffered method.
2 of 7
29
In case you are using pandas and you will be interested in loading the json file as a dataframe, you can use:
import pandas as pd
df = pd.read_json('file.json', lines=True)
And to convert it into a json array, you can use:
df.to_json('new_file.json')
Spark By {Examples}
sparkbyexamples.com › home › python › python json.loads() method with examples
Python json.loads() Method with Examples - Spark By {Examples}
May 31, 2024 - The method takes a JSON string as an input param and returns a Python object, usually a dictionary or a list, depending on the structure of the JSON string. ... Note that the json.loads() method can raise a ValueError if the input string is ...