If you're using Python's requests library to make HTTP requests, you may occasionally run into performance issues where requests.get() seems to hang or take a very long time to complete. There are a few common reasons this can happen, along with some techniques you can use to speed things up.
Check for Network Issues
First, rule out any network or connectivity problems. Try making a request to a fast reliable website like google.com to see if other HTTP requests are slow or timing out. Issues like poor wifi connectivity, VPN routing, or firewall rules blocking requests could be the culprit.
Increase Timeout Value
By default, requests will timeout after a few seconds if a response isn't received. You can increase the timeout value to allow more time:
Just be careful not to set this too high, or your code may hang waiting for a server that will never respond.
Use Asynchronous Requests
If you need to make many requests in parallel, synchronous requests will bottleneck and queue up. The
urls = ['http://url1.com', 'http://url2.com']
reqs = (grequests.get(u) for u in urls)
Now the requests can execute simultaneously and maximize network utilization.
Check for Slow APIs
Sometimes the problem is just a slow API you're calling out to. Profile the endpoint directly like with Postman to distinguish issues with your code vs slow external services. For public APIs, check status pages for degraded performance or rate limiting issues.
Optimizing slow requests takes some trial and error, but following network traces and profiling end-to-end usually reveals where the bottleneck lies. With some targeted tweaks you can often squeeze much better performance out of Python's versatile requests library.