python requests taking too long

Python Requests taking too long

One of the most common problems that Python developers face while working with requests module is that its response time is too slow. This can happen due to a lot of factors which include network issues, server load, and code inefficiencies.

If you are facing this problem, then there are a few things that you can do to try to speed up the process.

1. Use Session Objects

Sessions can help a lot in speeding up the requests as it keeps the connection to the server alive and allows multiple requests to be made over the same connection.

import requests

s = requests.Session()
response = s.get('https://example.com')

2. Use Connection Pooling

Connection pooling can also help in speeding up the requests as it enables the reuse of existing connections. This can be useful if you are making requests to the same domain multiple times in a short period of time.

import requests

pool = requests.PoolManager()
response = pool.request('GET', 'https://example.com')

3. Optimize code

Optimizing your code can also help in reducing the response time of your requests. Avoid making unnecessary requests and use asynchronous programming if possible.

import requests
import asyncio

async def get_example():
    async with requests.Session() as session:
        response = await session.get('https://example.com')
        return response.text

print(asyncio.run(get_example()))

4. Use caching

Caching can also be used to speed up the requests by storing the data that was previously fetched from the server. This can be useful for requests that are made frequently or for static content that rarely changes.

import requests_cache

requests_cache.install_cache('example_cache', expire_after=3600)

response = requests.get('https://example.com')

By using these techniques, you can significantly reduce the response time of your requests and improve the overall performance of your Python scripts.