How to use the urllib module for URL operations in Python 3.x
How to use the urllib module for URL operations in Python 3.x
Introduction
When doing network development, we often need to process URLs. Python provides the urllib module, in which the urllib.request submodule can conveniently perform URL operations. This article will introduce how to use urllib to open, read, download, upload and other operations of URLs.
Basic functions of the urllib.request module
The urllib.request module provides functions for interacting with URLs. Commonly used functions are:
-
urlopen(url, data=None, timeout=socket._GLOBAL_DEFAULT_TIMEOUT, *, cafile=None, capath=None, cadefault=False, context=None)
: Open a URL and return a file-like object. Optional parameters can specify POST data, timeout, certificate and other information. -
urlretrieve(url, filename=None, reporthook=None, data=None)
: Download the contents of the URL to the specified file. -
urlopen(url, data=None)
andurlretrieve(url)
are both synchronous and will block the process until the operation is completed.
Use urllib.request to open a URL
The following is a simple example showing how to use urlopen
to open a URL and read the content of the web page.
import urllib.request url = "https://www.example.com" response = urllib.request.urlopen(url) html = response.read().decode('utf-8') print(html)
In this example, we first import the urllib.request
module. Then, we define a URL, which is the address of a web page that needs to be opened. Next, use the urlopen
function to open the URL and assign the returned file-like object to the response
variable.
Use the response.read()
function to read the content returned by the URL. To properly handle character encodings, we use decode('utf-8')
to decode the content into a string. Finally, we print the resulting string.
Download File
Next, we will demonstrate how to download a file using the urlretrieve
function.
import urllib.request url = "https://www.example.com/example.png" filename = "example.png" urllib.request.urlretrieve(url, filename) print("文件下载完成")
In this example, we also first import the urllib.request
module. Then, we define a file URL that needs to be downloaded and save it in the variable url
. Next, we define the file name to be saved after downloading and save it in the variable filename
.
Finally, we use the urlretrieve
function to download and save the file in the URL as the specified file name. After the download is completed, we print out a prompt message.
Use POST request
In addition to using GET request to open the URL, sometimes we also need to use POST request. Below is a sample code using a POST request.
import urllib.request import urllib.parse url = "https://www.example.com/example" data = {"name": "Example", "age": 20} data = urllib.parse.urlencode(data).encode('utf-8') response = urllib.request.urlopen(url, data=data) html = response.read().decode('utf-8') print(html)
In this example, we also imported the urllib.request
and urllib.parse
modules. We have defined a URL that requires a POST request. Next, we define the data for the POST request, encode it into URL format using the urlendcode
function and convert it into a byte stream.
Finally, we use the urlopen
function and specify the requested URL and data. Likewise, we read the returned content and print it.
Using a proxy
In network access, sometimes we need to use a proxy. Below is a sample code using a proxy.
import urllib.request url = "https://www.example.com" proxy = {"http": "http://localhost:8080"} proxy_handler = urllib.request.ProxyHandler(proxy) opener = urllib.request.build_opener(proxy_handler) urllib.request.install_opener(opener) response = urllib.request.urlopen(url) html = response.read().decode('utf-8') print(html)
In this example, we define a URL and the address of the proxy. Next, we use the urllib.request.ProxyHandler
function to create a proxy handler and pass in the proxy. We then create a custom opener using the urllib.request.build_opener
function and set the proxy processor as its argument.
Finally, we use the urllib.request.install_opener
function to install the custom opener as a global opener. In this way, each urlopen
will use our custom opener to open the URL.
Summary
This article introduces how to use the urllib module for URL operations in Python 3.x. We used sample code to demonstrate how to open and read URL content, as well as how to download files, use POST requests, use proxies, and other operations. In actual development, you can use the functions provided by the urllib module to perform more complex URL operations according to specific needs.
The above is the detailed content of How to use the urllib module for URL operations in Python 3.x. For more information, please follow other related articles on the PHP Chinese website!

Python and C each have their own advantages, and the choice should be based on project requirements. 1) Python is suitable for rapid development and data processing due to its concise syntax and dynamic typing. 2)C is suitable for high performance and system programming due to its static typing and manual memory management.

Choosing Python or C depends on project requirements: 1) If you need rapid development, data processing and prototype design, choose Python; 2) If you need high performance, low latency and close hardware control, choose C.

By investing 2 hours of Python learning every day, you can effectively improve your programming skills. 1. Learn new knowledge: read documents or watch tutorials. 2. Practice: Write code and complete exercises. 3. Review: Consolidate the content you have learned. 4. Project practice: Apply what you have learned in actual projects. Such a structured learning plan can help you systematically master Python and achieve career goals.

Methods to learn Python efficiently within two hours include: 1. Review the basic knowledge and ensure that you are familiar with Python installation and basic syntax; 2. Understand the core concepts of Python, such as variables, lists, functions, etc.; 3. Master basic and advanced usage by using examples; 4. Learn common errors and debugging techniques; 5. Apply performance optimization and best practices, such as using list comprehensions and following the PEP8 style guide.

Python is suitable for beginners and data science, and C is suitable for system programming and game development. 1. Python is simple and easy to use, suitable for data science and web development. 2.C provides high performance and control, suitable for game development and system programming. The choice should be based on project needs and personal interests.

Python is more suitable for data science and rapid development, while C is more suitable for high performance and system programming. 1. Python syntax is concise and easy to learn, suitable for data processing and scientific computing. 2.C has complex syntax but excellent performance and is often used in game development and system programming.

It is feasible to invest two hours a day to learn Python. 1. Learn new knowledge: Learn new concepts in one hour, such as lists and dictionaries. 2. Practice and exercises: Use one hour to perform programming exercises, such as writing small programs. Through reasonable planning and perseverance, you can master the core concepts of Python in a short time.

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.


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

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

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.

Dreamweaver Mac version
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

PhpStorm Mac version
The latest (2018.2.1) professional PHP integrated development tool

WebStorm Mac version
Useful JavaScript development tools