json.loads() is used to parse JSON strings into Python data structures. 1. The input must be a string wrapped in double quotes and the boolean value is true/false; 2. It supports automatic conversion such as null→None, object→dict, array→list, etc.; 3. It is often used to process JSON strings returned by API. For example, response_string can be directly accessed after parsing by json.loads(). When using it, you must ensure that the JSON format is correct, otherwise an exception will be thrown.
When you process JSON data in Python, json.loads()
is a very common method for parsing strings in JSON format into data structures such as dictionaries or lists in Python.

Here is a simple and clear example of using json.loads()
:
? Basic usage examples
import json # JSON format string json_string = '{"name": "Zhang San", "age": 25, "city": "Beijing", "is_student": false, "hobbies": ["Reading", "Swimming"]}' # Use json.loads() to convert a string to a Python dictionary data = json.loads(json_string) print(data) # Output: {'name': 'Zhang San', 'age': 25, 'city': 'Beijing', 'is_student': False, 'hobbies': ['Reading', 'Swimming']} print(data['name']) # Output: Zhang San print(data['hobbies']) # Output: ['Reading', 'Swimming'] print(data['age']) # Output: 25
?? Precautions and common usages
- The input must be a string :
json.loads()
receives a string (str), not a file. - The JSON syntax should be correct : for example, in double quotes
"
, the Boolean value istrue/false
, not Python'sTrue/False
. - Automatic conversion of supported data types :
-
null
of JSON →None
of Python -
true
for JSON →True
for Python - JSON
false
→ PythonFalse
- JSON object → Python
dict
- JSON array → Python
list
-
? Error example (avoid writing like this)
# Error: Single quotes are used, and the boolean value is written in Python style bad_json = "{'name': 'Zhang San', 'is_student': False}" # This is not a legal JSON # json.loads(bad_json) # An error will be reported: Expecting property name enclosed in double quotes
The correct way to write it should use double quotes and false
:

good_json = '{"name": "Zhang San", "is_student": false}' data = json.loads(good_json)
? Practical application scenarios (such as obtaining data from the API)
import json # Simulate the JSON response string received from a network request response_string = ''' { "status": "success", "data": { "users": [ {"id": 1, "username": "alice"}, {"id": 2, "username": "bob"} ], "total": 2 } } ''' result = json.loads(response_string) print(result['data']['users'][0]['username']) # Output: alice
Basically that's it. json.loads()
is the first step in handling JSON strings and is very practical, but make sure the input is a legitimate JSON format string.
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