


Asynchronous Requests with Python requests: Retrieving Content from Multiple Pages
The Python requests library allows asynchronous processing of HTTP requests. While the provided sample in the documentation showcases retrieval of response codes, this article explores how to retrieve the content of each page requested.
To accomplish this, it's necessary to break down the task into the following steps:
- Define a Task Function: Create a Python function that defines the desired action to be performed on each response object. This function will typically contain the code to extract the desired content.
- Add an Event Hook: Associate the task function with each request by adding it as an event hook. This ensures that the function is automatically called with the response object when the request completes.
- Initiate Asynchronous Processing: After defining and attaching event hooks, create a list of all the requests to be processed asynchronously. Then, call the async.map method on this list.
Example Code:
from requests import async urls = [ 'http://python-requests.org', 'http://httpbin.org', 'http://python-guide.org', 'http://kennethreitz.com' ] # Task function to extract page content def extract_content(response): return response.content # List to hold asynchronous actions async_list = [] # Create requests with event hooks for u in urls: action_item = async.get(u, hooks={'response': extract_content}) async_list.append(action_item) # Initiate asynchronous processing async.map(async_list) # Print the extracted content for item in async_list: print(item.content)
By following these steps and using the provided code example, you can successfully retrieve the content of multiple pages asynchronously using the Python requests library.
The above is the detailed content of How Can I Asynchronously Retrieve Content from Multiple Web Pages Using Python\'s `requests` Library?. For more information, please follow other related articles on the PHP Chinese website!

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