Access dictionaries with d[dict_key] or d.get(dict_key, default) (to provide default value):
jsonResponse=json.loads(decoded_response)
jsonData = jsonResponse["data"]
for item in jsonData:
name = item.get("Name")
campaignID = item.get("CampaignID")
I suggest you read something about dictionaries.
Answer from Zac on Stack OverflowReal Python
realpython.com › python-json
Working With JSON Data in Python – Real Python
August 20, 2025 - By providing the skipkeys argument, you can prevent getting a TypeError when creating JSON data with unsupported Python keys: ... When you set skipkeys in json.dumps() to True, then Python skips the keys that are not supported and would otherwise raise a TypeError.
W3Schools
w3schools.com › python › python_json.asp
Python JSON
Python has a built-in package called json, which can be used to work with JSON data.
Videos
09:12
Learn how to analyse API JSON Data using Python - YouTube
05:46
How to import JSON data in Python - YouTube
05:46
Python Pandas Tutorial 25 | How to import JSON data in Python | ...
12:04
Python JSON Data Handling Full Guide - YouTube
03:30
How to Work with JSON Data in Python | Parse, Read & Write JSON ...
Creation of Json data using Python
Dataquest
dataquest.io › blog › python-json-tutorial
Working with Large JSON Files in Python – Dataquest
December 14, 2024 - If you want to further explore this dataset, here are some interesting questions to answer: ... In this post, we focused on Python programming, and we learned how to use it to go from raw JSON data to fully functional maps using command line tools, ijson, Pandas, matplotlib, and folium.
DataCamp
datacamp.com › tutorial › json-data-python
Python JSON Data: A Guide With Examples | DataCamp
December 3, 2024 - This can include settings for the application, such as the layout of a user interface or user preferences. IoT (Internet of Things). IoT devices often generate large amounts of data, which can be stored and transmitted between sensors and other devices more efficiently using JSON. python_obj = { "name": "John Doe", "age": 30, "email": "john.doe@example.com", "is_employee": True, "hobbies": [ "reading", "playing soccer", "traveling" ], "address": { "street": "123 Main Street", "city": "New York", "state": "NY", "zip": "10001" } } print(python_obj)
GeeksforGeeks
geeksforgeeks.org › python › working-with-json-data-in-python
Working With JSON Data in Python - GeeksforGeeks
January 4, 2019 - Using Python's context manager, create a file named Sample.json and open it with write mode. Here, the dump() takes two arguments first, the data object to be serialized and second the object to which it will be written(Byte format).
GeeksforGeeks
geeksforgeeks.org › python › pandas-parsing-json-dataset
Pandas - Parsing JSON Dataset - GeeksforGeeks
July 11, 2025 - You can fetch JSON data from online sources using the requests library and then convert it to a DataFrame. In the below example it reads and prints JSON data from the specified API endpoint using the pandas library in Python.
Medium
medium.com › data-science › working-with-json-data-in-python-45e25ff958ce
Working with JSON data in python
August 11, 2021 - Writing to json files, reading from json files explained and illustrated with examples in python.
Better Stack
betterstack.com › community › guides › scaling-nodejs › json-data-in-python
Working With JSON Data in Python | Better Stack Community
Learn how to efficiently handle JSON data in Python with the built-in `json` module. This guide covers serializing Python objects to JSON, deserializing JSON back to Python dictionaries, formatting JSON for readability, and validating JSON data using JSON Schema.
Python
docs.python.org › 3 › library › json.html
json — JSON encoder and decoder
If the data being deserialized is not a valid JSON document, a JSONDecodeError will be raised. Changed in version 3.6: All parameters are now keyword-only. ... Return the Python representation of s (a str instance containing a JSON document).
Towards Data Science
towardsdatascience.com › home › latest › how to handle json in python
How to handle JSON in Python | Towards Data Science
January 16, 2025 - Parsing a Python object using dumps(). The dumps() takes a Python object as input and it returns a JSON string. The syntax of dumps() is pretty trivial. We pass a single parameter most of the time which is the Python Object (list) itself. ... Let’s use the above stored neighbourhood as our base dataset which is a Python list and then pass it to dumps().
Top answer 1 of 8
748
You build the object before encoding it to a JSON string:
import json
data = {}
data['key'] = 'value'
json_data = json.dumps(data)
JSON is a serialization format, textual data representing a structure. It is not, itself, that structure.
2 of 8
46
You can create the Python dictionary and serialize it to JSON in one line and it's not even ugly.
my_json_string = json.dumps({'key1': val1, 'key2': val2})
SQL Shack
sqlshack.com › working-with-json-data-in-python
Working with JSON data in Python
April 2, 2021 - From my experience, I can say that you will be using the json.loads and json.dumps quite more frequently as compared to their streaming data counterparts. An important point worth mentioning is that the JSON library works only with the built-in python data types like string, integer, list, dictionaries, etc.
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']
Reddit
reddit.com › r/python › handling json files with ease in python
r/Python on Reddit: Handling JSON files with ease in Python
May 29, 2022 -
I have finished writing the third article in the Data Engineering with Python series. This is about working with JSON data in Python. I have tried to cover every necessary use case. If you have any other suggestions, let me know.
Working with JSON in Python
Data Engineering with Python series
Programiz
programiz.com › python-programming › json
Python JSON: Read, Write, Parse JSON (With Examples)
In this tutorial, you will learn to parse, read and write JSON in Python with the help of examples. Also, you will learn to convert JSON to dict and pretty print it.
GeeksforGeeks
geeksforgeeks.org › python › python-json
Python JSON - GeeksforGeeks
December 23, 2025 - Convert and transform data between JSON, XML, CSV, and text formats in Python, enabling easy storage, sharing, and interoperability across different applications.
GitHub
github.com › jdorfman › awesome-json-datasets
GitHub - jdorfman/awesome-json-datasets: A curated list of awesome JSON datasets that don't require authentication. · GitHub
A curated list of awesome JSON datasets that don't require authentication. - jdorfman/awesome-json-datasets
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Medium
medium.com › @datajournal › how-to-parse-json-data-with-python-99069a405e2b
How to Parse JSON Data With Python (EASY) | Medium
May 29, 2024 - This makes Python a popular choice for data analysts, web developers, and data scientists. In this guide, I’ll go over the basics of JSON syntax and data types. I’ll also discuss the Python libraries and methods we can use to parse JSON data.
Top answer 1 of 6
146
If you want to iterate over both keys and values of the dictionary, do this:
for key, value in data.items():
print(key, value)
2 of 6
99
What error is it giving you?
If you do exactly this:
data = json.loads('{"lat":444, "lon":555}')
Then:
data['lat']
SHOULD NOT give you any error at all.