Making HTTP requests is essential in many Python programs. However, you may occasionally run into issues with requests unexpectedly timing out. This can lead to failed API calls, scraping jobs, or webhooks.
In this guide, we'll explore some of the common causes and solutions for Python request timeouts.
Why Requests Time Out
There are a few key reasons why a requests call may time out in Python:
Handling Timeouts
When you run into timeouts, there are some steps you can take to troubleshoot and improve the reliability:
requests.get('https://api.example.com', timeout=30)
import requests
from tenacity import retry, stop_after_attempt
@retry(stop=stop_after_attempt(3))
def make_request():
response = requests.get('https://api.example.com', timeout=30)
response.raise_for_status()
return response
Avoiding Timeouts
To help avoid timeouts, here are some key best practices:
With timeouts, the most important thing is having robust handling and retries in place. This ensures one slow API response doesn't break your entire application.
Related articles:
- Troubleshooting aiohttp ServerDisconnectedError
- Tuning aiohttp Request Timeouts for Optimal Performance
- What is the difference between asyncio and time sleep in Python?
- Sending Numerical Data in a Python Requests POST
- Speed Up Slow requests.get() Calls in Python
- How to fix ReadTimeout error in Python requests
- Inspecting Requests in Python with the Requests Library
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