Get data from the URL and then call json.loads e.g.

Python3 example:

import urllib.request, json 
with urllib.request.urlopen("http://maps.googleapis.com/maps/api/geocode/json?address=google") as url:
    data = json.loads(url.read().decode())
    print(data)

Python2 example:

import urllib, json
url = "http://maps.googleapis.com/maps/api/geocode/json?address=google"
response = urllib.urlopen(url)
data = json.loads(response.read())
print data

The output would result in something like this:

{
"results" : [
    {
    "address_components" : [
        {
            "long_name" : "Charleston and Huff",
            "short_name" : "Charleston and Huff",
            "types" : [ "establishment", "point_of_interest" ]
        },
        {
            "long_name" : "Mountain View",
            "short_name" : "Mountain View",
            "types" : [ "locality", "political" ]
        },
        {
...
Answer from Anurag Uniyal on Stack Overflow
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Python
docs.python.org › 3 › library › json.html
json — JSON encoder and decoder
2 weeks ago - The old version of JSON specified by the obsolete RFC 4627 required that the top-level value of a JSON text must be either a JSON object or array (Python dict or list), and could not be a JSON null, boolean, number, or string value.
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W3Schools
w3schools.com › python › python_json.asp
Python JSON
JSON is text, written with JavaScript object notation. Python has a built-in package called json, which can be used to work with JSON data.
Discussions

Moldova broke our data pipeline
If the DMS output isn’t quoting fields that contain commas, that’s technically invalid CSV · A small normalization step before COPY (or ensuring the writer emits RFC-compliant CSV in the first place) would make the pipeline robust without renaming countries or changing delimiters More on news.ycombinator.com
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Got the following code in one of my scripts: # # url is defined above. # jsonurl = urlopen(url) # # While trying to debug, I put this in: # print jsonurl # # Was hoping text would contain the ac... More on stackoverflow.com
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geeksforgeeks.org › python › reading-and-writing-json-to-a-file-in-python
Reading and Writing JSON to a File in Python - GeeksforGeeks
Reading JSON in Python means retrieving JSON data from a file or string and converting it into Python objects like dictionaries or lists. This process is called deserialization.
Published   August 5, 2025
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modelcontextprotocol.io › docs › develop › build-server
Build an MCP server - Model Context Protocol
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freeCodeCamp
freecodecamp.org › news › loading-a-json-file-in-python-how-to-read-and-parse-json
Loading a JSON File in Python – How to Read and Parse JSON
July 25, 2022 - By Dillion Megida In this article, you'll learn how to read and parse JSON in Python. What is JSON? JSON is short for JavaScript Object Notation. It's a simple syntax for storing data in name-value pairs. Values can be different data types as ...
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QuickType
quicktype.io
Convert JSON to Swift, C#, TypeScript, Objective-C, Go, Java, C++ and more
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JSON in Python Tutorial | TDS Archive
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Request Body - FastAPI
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console.groq.com › docs › text-chat
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