Python HTTP Requests

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Introduction

In this lab, you will dive into the underwater world as a scuba diver in search of hidden treasures. Your goal is to learn how to make HTTP requests in Python to fetch data from the depths of the internet ocean.


Skills Graph

%%%%{init: {'theme':'neutral'}}%%%% flowchart RL python(("`Python`")) -.-> python/NetworkingGroup(["`Networking`"]) python/NetworkingGroup -.-> python/http_requests("`HTTP Requests`") subgraph Lab Skills python/http_requests -.-> lab-271559{{"`Python HTTP Requests`"}} end

Making a GET Request

In this step, you will learn how to make a GET request using Python's requests library. You will send a GET request to a remote server and retrieve the response data.

  1. Open a Python file named /home/labex/project/get_request.py.
  2. Write the following code in get_request.py:
import requests

response = requests.get('https://labex.io/api/v2/vm')
print(response.text)

Run the script:

python get_request.py

The information below should be displayed on your terminal:

{"code":401, "reason":"UNAUTHORIZED", "message":"Please login and try again", "metadata":{}}

Making a POST Request

In this step, you will learn how to make a POST request using Python's requests library. You will send a POST request to a remote server and observe the response.

  1. Open a new Python file named /home/labex/project/post_request.py.
  2. Write the following code in post_request.py:
import requests

data = {'key1': 'value1', 'key2': 'value2'}
response = requests.post('https://labex.io/api/v2/vm', data=data)
print(response.text)

Run the script:

python post_request.py

The information below should be displayed on your terminal:

{"code":401, "reason":"UNAUTHORIZED", "message":"Please login and try again", "metadata":{}}

Summary

In this lab, you learned how to make HTTP requests in Python using the requests library. By practicing GET and POST requests, you have gained valuable skills in fetching data from remote servers and interacting with web APIs. This knowledge will allow you to explore the vast world of web-based resources and integrate data into your Python projects effectively.

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