


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!

Python is widely used in the fields of web development, data science, machine learning, automation and scripting. 1) In web development, Django and Flask frameworks simplify the development process. 2) In the fields of data science and machine learning, NumPy, Pandas, Scikit-learn and TensorFlow libraries provide strong support. 3) In terms of automation and scripting, Python is suitable for tasks such as automated testing and system management.

You can learn the basics of Python within two hours. 1. Learn variables and data types, 2. Master control structures such as if statements and loops, 3. Understand the definition and use of functions. These will help you start writing simple Python programs.

How to teach computer novice programming basics within 10 hours? If you only have 10 hours to teach computer novice some programming knowledge, what would you choose to teach...

How to avoid being detected when using FiddlerEverywhere for man-in-the-middle readings When you use FiddlerEverywhere...

Error loading Pickle file in Python 3.6 environment: ModuleNotFoundError:Nomodulenamed...

How to solve the problem of Jieba word segmentation in scenic spot comment analysis? When we are conducting scenic spot comments and analysis, we often use the jieba word segmentation tool to process the text...

How to use regular expression to match the first closed tag and stop? When dealing with HTML or other markup languages, regular expressions are often required to...

Understanding the anti-crawling strategy of Investing.com Many people often try to crawl news data from Investing.com (https://cn.investing.com/news/latest-news)...


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

mPDF
mPDF is a PHP library that can generate PDF files from UTF-8 encoded HTML. The original author, Ian Back, wrote mPDF to output PDF files "on the fly" from his website and handle different languages. It is slower than original scripts like HTML2FPDF and produces larger files when using Unicode fonts, but supports CSS styles etc. and has a lot of enhancements. Supports almost all languages, including RTL (Arabic and Hebrew) and CJK (Chinese, Japanese and Korean). Supports nested block-level elements (such as P, DIV),

SublimeText3 Linux new version
SublimeText3 Linux latest version

MantisBT
Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.

SublimeText3 Chinese version
Chinese version, very easy to use

Safe Exam Browser
Safe Exam Browser is a secure browser environment for taking online exams securely. This software turns any computer into a secure workstation. It controls access to any utility and prevents students from using unauthorized resources.