json.dumps() is much more than just making a string out of a Python object, it would always produce a valid JSON string (assuming everything inside the object is serializable) following the Type Conversion Table.

For instance, if one of the values is None, the str() would produce an invalid JSON which cannot be loaded:

>>> data = {'jsonKey': None}
>>> str(data)
"{'jsonKey': None}"
>>> json.loads(str(data))
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/json/__init__.py", line 338, in loads
    return _default_decoder.decode(s)
  File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/json/decoder.py", line 366, in decode
    obj, end = self.raw_decode(s, idx=_w(s, 0).end())
  File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/json/decoder.py", line 382, in raw_decode
    obj, end = self.scan_once(s, idx)
ValueError: Expecting property name: line 1 column 2 (char 1)

But the dumps() would convert None into null making a valid JSON string that can be loaded:

>>> import json
>>> data = {'jsonKey': None}
>>> json.dumps(data)
'{"jsonKey": null}'
>>> json.loads(json.dumps(data))
{u'jsonKey': None}
Answer from alecxe on Stack Overflow
Top answer
1 of 2
201

json.dumps() is much more than just making a string out of a Python object, it would always produce a valid JSON string (assuming everything inside the object is serializable) following the Type Conversion Table.

For instance, if one of the values is None, the str() would produce an invalid JSON which cannot be loaded:

>>> data = {'jsonKey': None}
>>> str(data)
"{'jsonKey': None}"
>>> json.loads(str(data))
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/json/__init__.py", line 338, in loads
    return _default_decoder.decode(s)
  File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/json/decoder.py", line 366, in decode
    obj, end = self.raw_decode(s, idx=_w(s, 0).end())
  File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/json/decoder.py", line 382, in raw_decode
    obj, end = self.scan_once(s, idx)
ValueError: Expecting property name: line 1 column 2 (char 1)

But the dumps() would convert None into null making a valid JSON string that can be loaded:

>>> import json
>>> data = {'jsonKey': None}
>>> json.dumps(data)
'{"jsonKey": null}'
>>> json.loads(json.dumps(data))
{u'jsonKey': None}
2 of 2
2

There are other differences. For instance, {'time': datetime.now()} cannot be serialized to JSON, but can be converted to string. You should use one of these tools depending on the purpose (i.e. will the result later be decoded).

๐ŸŒ
GeeksforGeeks
geeksforgeeks.org โ€บ python โ€บ python-convert-json-to-string
Convert JSON to string - Python - GeeksforGeeks
July 12, 2025 - This code creates a Python dictionary and converts it into a JSON string using json.dumps(). The result is printed along with its type, confirming that the output is now a string. ... import json # create a sample json a = {"name" : "GeeksforGeeks", "Topic" : "Json to String", "Method": 1} y = json.dumps(a) print(y) print(type(y))
Discussions

Convert string to JSON in Python? - Stack Overflow
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How is writing the string yourself any different than writing it using the json module with .dumps? Do you mean that you get an error if you use json.dump (no 's')? json.dumps writes a string - docs json.dump writes to a file (or IO object) - docs But to answer your question, yes, JSON data is just plain text. You can write your own and the json.load will work just fine. More on reddit.com
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3
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Convert string into json object

Switch your quotes:

In [7]: phone = ['{"value": "4088768912", "label": "mobile"}', '{"value": "415659408", "label": "home"}']

json.loads(phone[0])
Out[8]: {'value': '4088768912', 'label': 'mobile'}
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r/learnpython on Reddit: Writing a json object as a string
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I have a script that dumps a json object into a .json file after execution. Normally I would use json.dumps(dictionary) to do this. However I have a cache memory restriction that throws a monkey wrench into my plans. If the dictionary gets too big, I run into problems. I was wondering if I could write a dictionary as a string and them open it back up as a json file. For example, would thing like this be a good idea?

with open('test.json', 'wb') as fw:
    fw.write('{"a":"b"}')

Of course, this is a very trivial example that i came up with. If anyone has a better idea pls show me

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