json.load loads from a file-like object. You either want to use json.loads:
json.loads(data)
Or just use json.load on the request, which is a file-like object:
json.load(request)
Also, if you use the requests library, you can just do:
import requests
json = requests.get(url).json()
Answer from Blender on Stack OverflowW3Schools
w3schools.com โบ python โบ python_json.asp
Python JSON
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.
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How to parse JSON strings in Python
To parse a JSON string in Python, we can use the built-in **`json`** module. This module provides two methods for working with JSON data:
- **`json.loads()`** parses a JSON string and returns a Python object.
- **`json.dumps()`** takes a Python object and returns a JSON string.
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How to parse JSON with Python
How to Read and Parse JSON files in Python
To parse a JSON file in Python, we can use the same json module we used in the previous section. The only difference is that instead of passing a JSON string to json.loads(), we pass the contents of a JSON file.
blog.apify.com
blog.apify.com โบ how-to-parse-json-with-python
How to parse JSON with Python
How to parse JSON with Python Pandas
To parse JSON with Python Pandas, we can use the pandas.read_json() function. This function can read JSON data into a pandas DataFrame, which allows for easy manipulation and analysis of the data.
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blog.apify.com โบ how-to-parse-json-with-python
How to parse JSON with Python
GeeksforGeeks
geeksforgeeks.org โบ python โบ 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.
Published ย January 13, 2026
ReqBin
reqbin.com โบ code โบ python โบ g4nr6w3u โบ python-parse-json-example
How to parse a JSON with Python?
To work with JSON in Python, you need to import the json module first, then call json.loads() method to parse the JSON string to a Python object.
Zyte
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JSON Parsing with Python [Practical Guide]
July 6, 2023 - After loading JSON data into Python, you can access specific data elements using the keys provided in the JSON structure. In JSON, data is typically stored in either an array or an object. To access data within a JSON array, you can use array indexing, while to access data within an object, you can use key-value pairs. ... 1import json 2json_string ='{"numbers": [1, 2, 3], "car": {"model": "Model X", "year": 2022}}' 3json_data = json.loads(json_string) 4# Accessing JSON array elements using array indexing 5print(json_data['numbers'][0]) # Output: 1 6# Accessing JSON elements using keys 7print(
Top answer 1 of 6
679
Very simple:
import json
data = json.loads('{"one" : "1", "two" : "2", "three" : "3"}')
print(data['two']) # or `print data['two']` in Python 2
2 of 6
103
For URL or file, use json.load(). For string with .json content, use json.loads().
#! /usr/bin/python
import json
# from pprint import pprint
json_file = 'my_cube.json'
cube = '1'
with open(json_file) as json_data:
data = json.load(json_data)
# pprint(data)
print "Dimension: ", data['cubes'][cube]['dim']
print "Measures: ", data['cubes'][cube]['meas']
Real Python
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Working With JSON Data in Python โ Real Python
August 20, 2025 - When you converted dog_registry to dog_json using json.dumps(), the integer key 1 became the string "1". When you used json.loads(), there was no way for Python to know that the string key should be an integer again. Thatโs why your dictionary key remained a string after deserialization. Youโll investigate a similar behavior by doing another conversion roundtrip with other Python data types! To explore how different data types behave in a roundtrip from Python to JSON and back, take a portion of the dog_data dictionary from a former section.
Top answer 1 of 4
851
json.loads()
import json
d = json.loads(j)
print d['glossary']['title']
2 of 4
118
When I started using json, I was confused and unable to figure it out for some time, but finally I got what I wanted
Here is the simple solution
import json
m = {'id': 2, 'name': 'hussain'}
n = json.dumps(m)
o = json.loads(n)
print(o['id'], o['name'])
GeeksforGeeks
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Convert String to JSON Object - Python - GeeksforGeeks
Explanation: loads() function stands for "load string," and it parses the JSON string and converts it into a dictionary. This resulting dictionary is assigned to the variable res. ast.literal_eval() function safely evaluates a string containing ...
Published ย July 11, 2025
GeeksforGeeks
geeksforgeeks.org โบ python โบ read-json-file-using-python
Read JSON file using Python - GeeksforGeeks
The Deserialization of JSON means the conversion of JSON objects into their respective Python objects. The load()/loads() method is used for it. If we have used JSON data from another program or obtained it as a string format of JSON, then it ...
Published ย September 15, 2025