The json module allows you to easily load a JSON file into its equivalent Python object (usually a dict or list). To load your data from a JSON file, use json.load(file_object).

fp can now be a binary file. The input encoding should be UTF-8, UTF-16 or UTF-32. Changed in version 3.11: The default parse_int of int() now limits the maximum length of the integer string via the interpreter’s integer string conversion length limitation to help avoid denial of service attacks. json.loads(s, *, cls=None, object_hook=None, parse_float=None, parse_int=None, parse_constant=None, object_pairs_hook=None, **kw)¶

December 15, 2024 - #!/usr/bin/env python3 import json f = open('jsondemo.js') data = json.load(f) print(data["mydata"]["color"]) print(data["mydata"]["amount"]) # Pull something out of the middle of an array print(data["mydata"]["arrayTest"][3]) print(data["mydata"]["boolTest"]) print(data["mydata"]["nullTest"]) # Use a boolean value if data["mydata"]["boolTest"]: print("So boolean!") # Dig down into a data structure print(data["mydata"]["addressBookEntry"]["address"]["city"]) print("-- mydata properties: --") for p in data["mydata"]: print(p) print("-- list addressBookEntry property names and values: --") for p in data["mydata"]["addressBookEntry"]: print(p + ': ' + str(data["mydata"]["addressBookEntry"][p])) # Testing whether values are present.

January 25, 2026 - The with statement ensures the file is properly closed after reading, even if an error occurs. If you have JSON as a string (common when working with APIs), use json.loads(): import json json_string = '{"name": "Alice", "age": 30, "active": true}' # Parse JSON string to Python dict data = json.loads(json_string) print(data['name']) # Output: Alice print(data['active']) # Output: True (converted to Python bool)

July 25, 2022 - This is because null is not valid in Python. The json module also has the load method which you can use to read a file object and parse it at the same time. Using this method, you can update the previous code to this: import json with open('user.json') as user_file: parsed_json = json.load(user_file) print(parsed_json) # { # 'name': 'John', # 'age': 50, # 'is_married': False, # 'profession': None, # 'hobbies': ['travelling', 'photography'] # }

Usually, in real life, you are not going to need to parse JSON from within a python script. You will need to parse it from an external json file. So let's look at the following example. with open('example.json') as f: data = json.load(f)

December 3, 2024 - This function is used to read a JSON file and parse its contents into a Python object. The load() function takes a single argument, the file object, and returns a Python object.

April 3, 2026 - json.load() is a function from Python's built-in json module. It reads JSON data from a file and converts it into the corresponding Python object.

March 15, 2022 - Looking to connect with fellow Python developers and make friends in the community ... On read of JSON file it loads the entire JSON into memory. ... I tested structured output from 288 LLM calls and logged every way JSON breaks.

July 25, 2025 - Use json.loads() to parse JSON strings into Python objects. Use json.load() to read JSON data from a file.

January 3, 2025 - If the JSON file is an array the method will return a Python list. We believe that working with files always involves error handling. Issues can be something as simple as the file not being found, or something as complex as the content of the JSON file being read as invalid. import json try: with open('data.json', 'r') as file: data = json.load(file) print(data) except FileNotFoundError: print("The file was not found.") except json.JSONDecodeError: print("The file contains invalid JSON.")

In this line, json.load(file) reads the JSON content from the file object file and parses it into a Python dictionary named data.

August 20, 2025 - How can you read JSON data from a file into a Python program?Show/Hide · You can use the json.load() function to deserialize JSON data from a file into a Python object.

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Copy and paste your JSON file in the JSON editor, or load it from disk via the menu or via drag-and-drop. Then, you can edit the contents similar to how you use any text editor: enter new content with your keyboard, and right-click to open a ...