[파이썬] REST API 자동 호출

06 Sep 2023

python

In today’s digital age, REST APIs have become a fundamental part of modern web development. They allow different software systems to communicate and exchange data seamlessly. However, manually calling REST APIs can be time-consuming and inefficient. This is where automated REST API calls in Python come into the picture.

By automating the process of making REST API calls in Python, you can save time, reduce human error, and improve the overall efficiency of your workflow. In this blog post, we will explore how to automate REST API calls in Python using the requests library.

Prerequisites

Python 3.x installed on your system.
The requests library installed. You can install it using pip by running the following command:
```
pip install requests
```

Making a GET request

To make a GET request to a REST API using Python, you can use the requests.get() function. Here is an example that demonstrates making a GET request to the GitHub API.

import requests

url = "https://api.github.com/users/"
response = requests.get(url)

if response.status_code == 200:
    data = response.json()
    print(data)
else:
    print("Error:", response.status_code)

In this example, we first import the requests library. Then, we define the URL of the API we want to call. We use the requests.get() function to make the GET request and store the response in the response variable.

Next, we check the status_code of the response. If it is 200, we can access the JSON data returned by the API using the .json() method. Finally, we print the data to the console. If the status code is not 200, we print an error message with the actual status code.

Making a POST request

To make a POST request to a REST API using Python, you can use the requests.post() function. Here is an example that demonstrates making a POST request to an echo API:

import requests

url = "https://api.example.com/echo"
data = {
    "name": "John Doe",
    "email": "johndoe@example.com"
}

response = requests.post(url, json=data)

if response.status_code == 200:
    result = response.json()
    print(result)
else:
    print("Error:", response.status_code)

In this example, we define the URL of the API we want to call and a dictionary data that contains the payload for the POST request. We use the requests.post() function and pass the json parameter to send the data as JSON.

Similarly to the previous example, we check the status_code of the response. If it is 200, we can access the JSON data returned by the API using the .json() method. Finally, we print the result to the console or handle any errors if the status code is not 200.

Conclusion

Automating REST API calls in Python can greatly simplify your workflow and improve efficiency. The requests library provides a straightforward way to make GET and POST requests to REST APIs. By leveraging the power of automation, you can focus on building innovative applications and systems without the hassle of manual API calls.

Remember to handle errors and validate the response before processing the data returned by the API to ensure the reliability and stability of your application.