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python requests async call

Narkw Brahma

Narkw Brahma

• 2 min read

Python Requests Async Call

Asynchronous programming has become very popular in recent years, especially in Python. It allows multiple functions or tasks to run concurrently, which can increase performance and efficiency. Python Requests is a popular library used for making HTTP requests in Python. It provides a simple and easy-to-use interface for sending HTTP requests and receiving responses. In this blog post, we will explore how to make asynchronous HTTP requests using Python Requests library.

Using asyncio

Python's asyncio module provides a way to write asynchronous code by using coroutines, event loops, and futures. We can use asyncio to make asynchronous HTTP requests using Python Requests library. The following code snippet shows how to make an asynchronous HTTP GET request using asyncio:


import asyncio
import requests

async def get_url(url):
    response = await loop.run_in_executor(None, requests.get, url)
    return response.text

async def main():
    urls = ['https://www.google.com', 'https://www.github.com', 'https://www.twitter.com']
    tasks = [get_url(url) for url in urls]
    results = await asyncio.gather(*tasks)
    print(results)

if __name__ == '__main__':
    loop = asyncio.get_event_loop()
    loop.run_until_complete(main())
  • The async def get_url(url) function is a coroutine that makes an HTTP GET request using Python Requests library.
  • The loop.run_in_executor() method runs the requests.get() method in a separate thread and returns the response.
  • The async def main() function is the entry point of the program that creates a list of URLs and creates a list of tasks for each URL.
  • The asyncio.gather() method waits for all tasks to complete and returns the results.
  • The loop.run_until_complete() method runs the main coroutine until it completes.

Using aiohttp

The aiohttp library is a popular Python library used for making HTTP requests asynchronously. It provides a high-level interface for sending HTTP requests and receiving responses. The following code snippet shows how to make an asynchronous HTTP GET request using aiohttp:


import aiohttp
import asyncio

async def get_url(url):
    async with aiohttp.ClientSession() as session:
        async with session.get(url) as response:
            return await response.text()

async def main():
    urls = ['https://www.google.com', 'https://www.github.com', 'https://www.twitter.com']
    tasks = [get_url(url) for url in urls]
    results = await asyncio.gather(*tasks)
    print(results)

if __name__ == '__main__':
    loop = asyncio.get_event_loop()
    loop.run_until_complete(main())
  • The async def get_url(url) function is a coroutine that makes an HTTP GET request using aiohttp library.
  • The aiohttp.ClientSession() method creates a session that can be used to make multiple requests.
  • The session.get() method sends an HTTP GET request to the specified URL and returns the response.
  • The asyncio.gather() method waits for all tasks to complete and returns the results.
  • The loop.run_until_complete() method runs the main coroutine until it completes.

Conclusion

In this blog post, we explored two different ways of making asynchronous HTTP requests using Python Requests library. We learned how to use asyncio and aiohttp libraries to make asynchronous HTTP requests. By using async programming, we can make our Python applications more efficient and faster.

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