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What's the best way to parse a JSON response from the requests library?

stackoverflow.com › questions › 16877422 › whats-the-best-way-to-parse-a-json-response-from-the-requests-library

Since you're using requests, you should use the response's json method.

import requests

response = requests.get(...)
data = response.json()

It autodetects which decoder to use.

Answer from pswaminathan on Stack Overflow

geeksforgeeks.org › python › response-json-python-requests

response.json() - Python requests - GeeksforGeeks

July 12, 2025 - In the below code, firstly we imported the requests module and then fetch the data from an API using requests.get() method and store in variable 'response'. When we print the response it prints '<Response [200]>' which is the HTTP code that indicates success. To print the JSON data fetched we have used json() method which prints the JSON data in the Python dictionary format as seen in the output.

stackoverflow.com › questions › 16877422 › whats-the-best-way-to-parse-a-json-response-from-the-requests-library

python - What's the best way to parse a JSON response from the requests library? - Stack Overflow

Since you're using requests, you should use the response's json method.

import requests

response = requests.get(...)
data = response.json()

It autodetects which decoder to use.

You can use json.loads:

import json
import requests

response = requests.get(...)
json_data = json.loads(response.text)

This converts a given string into a dictionary which allows you to access your JSON data easily within your code.

Or you can use @Martijn's helpful suggestion, and the higher voted answer, response.json().

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requests.readthedocs.io › en › latest › user › quickstart

Quickstart — Requests 2.33.0.dev1 documentation

We can view the server’s response headers using a Python dictionary: >>> r.headers { 'content-encoding': 'gzip', 'transfer-encoding': 'chunked', 'connection': 'close', 'server': 'nginx/1.0.4', 'x-runtime': '148ms', 'etag': '"e1ca502697e5c9317743dc078f67693f"', 'content-type': 'application/json' }

reddit.com › r/learnpython › converting response to json?

r/learnpython on Reddit: Converting Response to JSON?

October 24, 2020 -

Hi all, im trying to grab some data from a website using the requests module in Python. Here is what I have:

import requests, json

apiEndpoint = 'website.com'

r = requests.post(url = apiEndpoint)

data = r.json()

When I do a print(type(r)) I get <class 'requests.models.Response'>

When I do a print(type(data)) I get <class 'list'>

When I want to iterate through the values of data, I am getting an error.

for i in range(len(data['value'])):

for item in data['value'][i]['value_i_want']:
do something
The error I am receiving is:

"TypeError: list indices must be integers or slices, not str"

So it converted the response into a list, when I want it to convert into JSON so I can access the data easily. Any ideas?

You don't want to convert it to json format; that would give you a string for storing the data (or sending over the wire). The message is telling you that you are indexing a list as if it was a dict. You know that data is a list so "data['value']" won't work but "data[i]" might... but you don't really need to use the indexes given by range, you want the contents of the list. Only use range when you want to do arithmetic with the indexes. I am guessing this will work as well and be a bit simpler. for val in data: for item in val['value_i_want']: print(item)

It sounds like the json response is returning a list, not a dictionary. So it looks like this: [ {value: 'x'}, {value: 'y'} ] But you're treating it like: { value: [1, 2, 3] }

brightdata.com › faqs › json › extract-json-response-python

How to Extract Data from a JSON Response in Python?

April 17, 2025 - Learn how to extract data from a JSON response in Python with this guide. Master JSON parsing for efficient data extraction in web scraping and API interactions.

pynative.com › home › python › json › parse a json response using python requests library

Parse a JSON response using Python requests library

May 14, 2021 - Learn how to parse JSON response using the requests library. Access data from JSON response directly using a key. Access Nested JSON key directly from response.

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proxiesapi.com › articles › parsing-json-responses-from-apis-in-python-requests

Parsing JSON Responses from APIs in Python Requests | ProxiesAPI

import requests response = requests.get('https://api.example.com/data') data = response.json() print(data['key1']) This automatically parses the JSON and returns a Python dict that you can access just like any other dict.

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API Requests & JSON Parsing in Python: A Guide in Data Collection | by The Math Lab | Medium

April 2, 2025 - response.json() converts JSON response into a Python dictionary.

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How do I get JSON using the Python Requests?

In this Python GET JSON example, we send a GET request to the ReqBin echo URL and receive JSON data in the response. The custom 'Accept: application/json' header tells the server that the client expects a JSON.

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Sending and Receiving JSON Data with Python Requests | ProxiesAPI

To send JSON data in a POST or PUT request, simply pass a Python dict to the · json parameter. Requests will serialize the dict to JSON and add the correct Content-Type header for you: ... import requests data = { 'name': 'John Doe', 'age': 30 } response = requests.post('https://api.example.com/users', json=data)

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Good morning I'm trying to use Python to connect to a MySQL Database, so I'm trying to use a GET request and a PHP script. The code I have so far is: import requests import json print 'Hello, World' url = 'https://www.thebar.inthepub.co.uk/restt...

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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.

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How to Parse JSON Response in Python? - TestMu AI Community

November 10, 2024 - What’s the Best Way to Parse a JSON Response from the Requests Library in Python? I’m using the Python requests module to send a RESTful GET request to a server, which returns a response in JSON format. The JSON respons…

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Structured model outputs | OpenAI API

Structured Outputs is a feature that ensures the model will always generate responses that adhere to your supplied JSON Schema, so you don’t need to worry about the model omitting a required key, or hallucinating an invalid enum value. ... In addition to supporting JSON Schema in the REST API, the OpenAI SDKs for Python and JavaScript also make it easy to define object schemas using Pydantic and Zod respectively.

apidog.com › blog › python-requests-post-json

Python Requests: How to POST JSON Data with Ease in 2026

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Parsing JSON Responses in Python - Getting Started With APIs - SSE Tech Support at Schulich School of Engineering - University of Calgary

July 30, 2024 - This module allows us to parse JSON-formatted strings into Python data structures (such as dictionaries and lists) and vice versa. The following example demonstrates what an unparsed JSON response looks like, which will hopefully get you to appreciate the importance of parsing for readability purposes.

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3 weeks ago - 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).

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A Comprehensive Guide to JSON with Python API | by Aarav Gupta | Medium

December 14, 2023 - Many APIs use JSON as their data format, making it a popular choice for data exchange. Python’s requests library simplifies the process of making HTTP requests to APIs. Here’s a basic example of how to make a GET request to an API and parse the JSON response:

datagy.io › home › python requests › response.json() – working with json in python requests

response.json() - Working with JSON in Python requests • datagy

December 30, 2022 - After applying the .json() method to a response created by the requests library, we created a dictionary. This means that we can access the data in the dictionary using common dictionary methods, such as square-bracket indexing or the .get() method. Let’s see how we can access the 'page' key in the data: # Accessing Data in a Python Request Response import requests resp = requests.get('https://reqres.in/api/users') resp_dict = resp.json() print(resp_dict.get('page')) # Returns: 1