How to Parse Data From JSON into Python? Last Updated : 03 Jul, 2025 Summarize Comments Improve Suggest changes Share Like Article Like Report The json module in Python provides an easy way to convert JSON data into Python objects. It enables the parsing of JSON strings or files into Python's data structures like dictionaries. This is helpful when you need to process JSON data, which is commonly used in APIs, web applications, and configuration files.Python JSON to Dictionaryjson.loads() function parses a JSON string into a Python dictionary.Parse JSON Python import json geek = '{"Name": "nightfury1", "Languages": ["Python", "C++", "PHP"]}' geek_dict = json.loads(geek) # Displaying dictionary print("Dictionary after parsing:", geek_dict) print("\nValues in Languages:", geek_dict['Languages']) Output:Dictionary after parsing: {'Name': 'nightfury1', 'Languages': ['Python', 'C++', 'PHP']}Values in Languages: ['Python', 'C++', 'PHP']Python JSON to Ordered DictionaryTo parse JSON objects into an ordered dictionary, use the json.loads() function with object_pairs_hook=OrderedDict from the collections module. Python import json from collections import OrderedDict data = json.loads('{"GeeksforGeeks":1, "Gulshan": 2, "nightfury_1": 3, "Geek": 4}', object_pairs_hook=OrderedDict) print("Ordered Dictionary: ", data) Output:Ordered Dictionary: OrderedDict([('GeeksforGeeks', 1), ('Gulshan', 2), ('nightfury_1', 3), ('Geek', 4)])Parse using JSON filejson.load() method parses a JSON file into a Python dictionary. This is particularly useful when the data is stored in a .json file.Parsing JSON File Python import json with open('data.json') as f: data = json.load(f) # printing data from json file print(data) Output:{'Name': 'nightfury1', 'Language': ['Python', 'C++', 'PHP']} Comment More infoAdvertise with us Next Article How to Parse Data From JSON into Python? N night_fury1 Follow Improve Article Tags : Python Python-json Practice Tags : python Similar Reads How to convert pandas DataFrame into JSON in Python? We are given a pandas DataFrame, and our task is to convert it into JSON format using different orientations and custom options. JSON (JavaScript Object Notation) is a lightweight, human-readable format used for data exchange. With Pandas, this can be done easily using the to_json() method. For exam 4 min read How to JSON decode in Python? When working with JSON data in Python, we often need to convert it into native Python objects. This process is known as decoding or deserializing. The json module in Python provides several functions to work with JSON data, and one of the essential tools is the json.JSONDecoder() method. This method 5 min read How to parse JSON in Ruby? JSON stands for JavaScript Object Notation. In the JSON the data is stored in the form of a key-value pair. we can parse the JSON file in various languages with the help of the respective modules available in the languages. Let's suppose when we want to parse a JSON file in the Python programming la 4 min read How to read a JSON response from a link in Python? There is a huge amount of data available on the web and most of them are in form of (JavaScript Object Notation) JSON. But it is difficult for humans to directly read and use it. To resolve this problem in python we have different libraries which help us to read the JSON data fetched from the web. T 2 min read How to get JSON data from request in Django? Handling incoming JSON data in Django is a common task when building web applications. Whether you're developing an API or a web service, it's crucial to understand how to parse and use JSON data sent in requests. In this article, we will create a simple Django project to demonstrate how to retrieve 2 min read Like