How Can Python\'s `requests` Library Be Used for Efficient Asynchronous Requests?

Asynchronous Requests with Python requests

Asynchronous programming is a powerful technique that can be used to improve the performance of your Python applications. The requests library provides support for asynchronous requests, which can be used to send multiple requests at the same time, potentially saving a significant amount of time.

One way to use asynchronous requests with the requests library is to use the async.map() function. This function takes a list of requests and executes them in parallel. By default, async.map() will return a list of response objects.

However, it is also possible to use async.map() to return the content of each page requested. To do this, you can use the hooks parameter to pass a function to be executed on each response. This function can then be used to extract the content of the page.

The following example shows how to use async.map() to return the content of each page requested:

from requests import async
import asyncio

urls = [
    'http://python-requests.org',
    'http://httpbin.org',
    'http://python-guide.org',
    'http://kennethreitz.com'
]

async def get_page_content(url):
    response = await async.get(url)
    return response.content

async def main():
    contents = await asyncio.gather(*[get_page_content(url) for url in urls])

    return contents

contents = asyncio.run(main())
for content in contents:
    print(content)

This example uses the async.get() function to send a request to each URL. The get_page_content() function is then used to extract the content of each page. The asyncio.gather() function is used to wait for all of the requests to complete.

The output of this example will be a list of the content of each page requested.

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