Friday, June 13, 2025
  • About
  • Advertise
  • Careers
  • Contact
Connect 4 Programming
  • Home
  • Python
  • Java
  • SQL
  • JavaScript
  • HTML
  • Data Structure
  • GIT
  • OOP
  • Interview Questions
  • Login
No Result
View All Result
Connect 4 Prog
Home Python

GET and POST Requests Using Python

GET and POST Requests Using Python

This post discusses two HTTP (Hypertext Transfer Protocol) request methods  GET and POST requests in Python and their implementation in Python. 

What is HTTP? 

HTTP is a set of protocols designed to enable communication between clients and servers. It works as a request-response protocol between a client and a server. A web browser may be the client, and an application on a computer that hosts a website may be the server. So, to request a response from the server, there are mainly two methods:

Related posts

Tkinter GUI Projects With Python

Tkinter GUI Projects with Python PDF Guide

March 28, 2025
Python String split()

Python String split()

October 30, 2024
  1. GET: To request data from the server.
  2. POST: To submit data to be processed to the server.

Here is a simple diagram that explains the basic concept of GET and POST methods.

GET and POST requests using Python

 Now, to make HTTP requests in Python, we can use several HTTP libraries like:

  • httplib
  • urllib
  • requests

The most elegant and simplest of the above-listed libraries is Requests. We will be using the requests library in this article. To download and install the Requests library, use the following command:

pip install requests

Making a Get request

The above example finds the latitude, longitude, and formatted address of a given location by sending a GET request to the Google Maps API. An API (Application Programming Interface) enables you to access the internal features of a program in a limited fashion. And in most cases, the data provided is in JSON(JavaScript Object Notation) format (which is implemented as dictionary objects in Python!).

Python

image 20

Output:

GET and POST requests using Python

Important points to infer:

PARAMS = {'address':location}

The URL for a GET request generally carries some parameters with it. For the requests library, parameters can be defined as a dictionary. These parameters are later parsed down and added to the base URL or the API endpoint. To understand the role of the parameter, try to print r.url after the response object is created. You will see something like this:

http://maps.googleapis.com/maps/api/geocode/json?
address=delhi+technological+university

This is the actual URL on which the GET request is made

r = requests.get(url = URL, params = PARAMS)

Here we create a response object ‘r’ which will store the request-response. We use requests.get() method since we are sending a GET request. The two arguments we pass are URL and the parameters dictionary.

data = r.json()

Now, in order to retrieve the data from the response object, we need to convert the raw response content into a JSON-type data structure. This is achieved by using json() method. Finally, we extract the required information by parsing down the JSON-type object.

Making a POST request

This example explains how to paste your source_code to pastebin.com by sending a POST request to the PASTEBIN API. First of all, you will need to generate an API key by signing up here and then accessing your API key here. 

Python

image 21

Important features of this code:

data = {‘api_dev_key’:API_KEY,
‘api_option’:’paste’,
‘api_paste_code’:source_code,
‘api_paste_format’:’python’}

Here again, we will need to pass some data to the API server. We store this data as a dictionary.

r = requests.post(url = API_ENDPOINT, data = data)

Here we create a response object ‘r’ which will store the request-response. We use requests.post() method since we are sending a POST request. The two arguments we pass are the URL and the data dictionary.

pastebin_url = r.text

In response, the server processes the data sent to it and sends the pastebin_URL of your source_code which can be simply accessed by r.text.

requests.post method could be used for many other tasks as well like filling and submitting the web forms, posting on your FB timeline using the Facebook Graph API, etc. 

Here are some important points to ponder upon:

  • When the method is GET, all form data is encoded into the URL and appended to the action URL as query string parameters. With POST, form data appears within the message body of the HTTP request.
  • In the GET method, the parameter data is limited to what we can stuff into the request line (URL). Safest to use less than 2K of parameters, some servers handle up to 64K.No such problem in the POST method since we send data in the message body of the HTTP request, not the URL.
  • Only ASCII characters are allowed for data to be sent in the GET method. There is no such restriction in the POST method.
  • GET is less secure compared to POST because the data sent is part of the URL. So, the GET method should not be used when sending passwords or other sensitive information.

GET and POST Requests Using Python – FAQs

What is GET and POST Request in Python?

In Python, GET and POST requests are ways to send data to a server or retrieve data from a server using HTTP:

  • GET Request: A GET request is used to retrieve data from a server. It sends data appended in the URL and is mainly used for fetching data. It has limitations on the amount of data that can be sent because data is sent in the URL.
  • POST Request: A POST request is used to send data to the server, for example, when uploading a file or submitting a completed form. Data sent via POST is transmitted in the body of the request, allowing larger amounts of data to be sent compared to a GET request.

How to Send a POST Request with Python Requests?

To send a POST request using the Python requests library, you need to use the requests.post() method. This method allows you to send data to a server or API and is useful for tasks such as submitting form data or uploading files.

import requests

url = 'http://example.com/api'
data = {'key': 'value'}
response = requests.post(url, data=data)
print(response.text)

How Do You POST a Request to a Server in Python?

Posting a request to a server in Python typically involves specifying the URL of the server, organizing the data you wish to send, and then using the requests.post() method to send the data. Here’s an example of how to send JSON data:

import requests
import json

url = 'http://example.com/api'
data = {'key': 'value'}
headers = {'Content-Type': 'application/json'}

response = requests.post(url, data=json.dumps(data), headers=headers)
print(response.text)

What Does Requests get() Do in Python?

The requests.get() function in Python is used to send a GET request to a specified url. This function retrieves data from a server at the specified URL and brings it back to the local Python environment. It’s commonly used to access web pages, download files, or consume data from APIs.

import requests

url = 'http://example.com'
response = requests.get(url)
print(response.text)

How to API Call in Python?

Making an API call in Python typically involves sending a GET or POST request to the API’s URL. The requests library is commonly used for this purpose due to its simplicity and ease of use. Here’s an example of making a GET request to an API:

import requests

# Define the API endpoint
url = 'https://api.example.com/data'

# Set any API parameters
params = {
'param1': 'value1',
'param2': 'value2'
}

# Send the GET request
response = requests.get(url, params=params)

# Check the status code and process the response
if response.status_code == 200:
data = response.json()
print(data)
else:
print("Failed to retrieve data", response.status_code)

This example demonstrates how to use requests.get() to send a GET request with parameters to an API, process the response, and handle errors effectively.

Related Posts

71 Python Projects with References and Source Code
Python

71 Python Projects with References and Source Code

March 28, 2025
OOPS in Python Handwritten Notes
Python

OOPS in Python Handwritten Notes

March 28, 2025
Python Programming and SQL PDF
Python

Python Programming and SQL PDF

March 28, 2025
Basic Python Programs
Python

Basic Python Programs Handwritten PDF

March 28, 2025
Python Notes Handwritten
Python

Python Notes Handwritten PDF

March 28, 2025
Python Programming for Beginners PDF: Your Step-by-Step Guide to Learning Python
Python

Python Programming for Beginners PDF: Your Step-by-Step Guide to Learning Python

March 28, 2025

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

POPULAR NEWS

  • 71 Python Projects with References and Source Code

    71 Python Projects with References and Source Code

    0 shares
    Share 0 Tweet 0
  • OOPS in Python Handwritten Notes

    4 shares
    Share 0 Tweet 0
  • Most Asked JavaScript Interview (100 Q&A) PDF

    0 shares
    Share 0 Tweet 0
  • Most Asked Java Interview (100 Q&A) PDF

    0 shares
    Share 0 Tweet 0
  • Top 50 Java Interview Questions and Answers PDF

    0 shares
    Share 0 Tweet 0
Connect 4 Programming

We bring you the best Premium WordPress Themes that perfect for news, magazine, personal blog, etc.

Follow us on social media:

Recent News

  • Tkinter GUI Projects with Python PDF Guide
  • Python String split()
  • Desktop Notifier in Python

Category

  • Data Structure
  • GIT
  • HTML
  • Interview Questions
  • Java
  • JavaScript
  • OOP
  • Programming
  • Python
  • SQL

Recent News

Tkinter GUI Projects With Python

Tkinter GUI Projects with Python PDF Guide

March 28, 2025
Python String split()

Python String split()

October 30, 2024
  • About
  • Advertise
  • Careers
  • Contact

Welcome Back!

Login to your account below

Forgotten Password?

Retrieve your password

Please enter your username or email address to reset your password.

Log In

Add New Playlist

No Result
View All Result
  • Home
  • Python
  • Java
  • SQL
  • JavaScript
  • HTML
  • Data Structure
  • GIT
  • OOP
  • Interview Questions