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python requests async

Narkw Brahma

Narkw Brahma

• 2 min read

Python Requests Async

Python is a popular programming language that is widely used for web development, data analysis, machine learning, and many other fields. With the Python Requests module, developers can easily make HTTP requests to web servers and retrieve data. However, when dealing with large amounts of data or slow network connections, making synchronous requests can be time-consuming and inefficient.

That's where asynchronous programming comes in. By making asynchronous requests, developers can send multiple requests at once and handle responses as soon as they become available, without waiting for each request to finish before moving on to the next one. This can greatly improve the performance and responsiveness of Python applications.

Using the Asyncio Library

The asyncio library is a built-in Python library that provides tools for asynchronous programming. To use it with Requests, we can create an asynchronous session object and use its methods to send requests. Here's an example:


import asyncio
import aiohttp

async def fetch(session, url):
    async with session.get(url) as response:
        return await response.text()

async def main():
    async with aiohttp.ClientSession() as session:
        html = await fetch(session, 'https://www.example.com')
        print(html)

if __name__ == '__main__':
    loop = asyncio.get_event_loop()
    loop.run_until_complete(main())

In this example, we create an asynchronous function fetch that takes a session object and a URL as arguments. The session object is created using the aiohttp.ClientSession class, which provides an asynchronous interface for making HTTP requests. We then use the session object to make a GET request to the specified URL, and return the response text.

We then define a main function that creates a new event loop, creates a session object using the with statement, and calls the fetch function to retrieve the HTML content of a web page. Finally, we print the HTML content to the console.

Using the Requests-Async Library

The Requests-Async library is a third-party library that provides asynchronous versions of the Requests library's methods. Here's an example:


import requests_async as requests

async def main():
    response = await requests.get('https://www.example.com')
    html = response.text
    print(html)

if __name__ == '__main__':
    loop = asyncio.get_event_loop()
    loop.run_until_complete(main())

In this example, we import the requests_async library and use its get method to make an asynchronous GET request to the specified URL. We then extract the response text and print it to the console.

Overall, asynchronous programming with Python Requests can greatly improve the performance and responsiveness of applications that make HTTP requests. By using either the asyncio library or the Requests-Async library, developers can take advantage of asynchronous programming techniques to make their applications faster and more efficient.

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