Check If API Response is Empty in Python

In Python programming, determining whether an API response is empty holds importance for effective data handling. This article delves into concise techniques for checking whether the API response is empty or not, enabling developers to efficiently get rid of several data problems and enabling proper error handling. Through clear code examples, let’s learn how we can check If an API response is Empty or not.

How To Check If API Response Is Empty Python?

Below, are the methods of How To Check If Api Response Is Empty Python.

Example 1: Using response.text() Method

In this example , below code utilizes the requests library to make a GET request to the specified API endpoint (“https://gfgapi.free.beeceptor.com/api“). It captures the response, and if the response text is empty, it prints “Response is Empty”; otherwise, it prints the content of the response.

Python

# importing the requests library
import requests

# api-endpoint
URL = "https://gfgapi.free.beeceptor.com/api"


# sending get request and saving the response as response object
response = requests.get(url = URL)

# Checking if the repsonse is empty or not
if(response.text == ""):
    print("Response is Empty")
else:
    print("Response",response.text)

Output:

Response is Empty

Example 2: Using response.json() Method

In this example, below code imports the requests library, sends a GET request to the specified API endpoint (“https://gfgapi.free.beeceptor.com/api“), and attempts to print the JSON content of the response. If the response is empty or not in JSON format, it prints “Empty Response” using a try-except block to handle potential errors.

Python

# importing the requests library
import requests

# api-endpoint
URL = "https://gfgapi.free.beeceptor.com/api"


# sending get request and saving the response as response object
response = requests.get(url = URL)

# Checking if the repsonse is empty or not
try:
    print(response.json())
except:
    print("Empty Response")

Output:

Empty Response

Conclusion

In conclusion, it’s important to check and handle empty API responses when working with Python. Doing this helps make applications stronger, minimizes errors, and improves the overall user experience. Using the right validation methods not only makes the code clearer but also makes applications more robust against unexpected problems, creating a software environment that is both resilient and user-friendly.