How to use IP proxy in python
python用IP代理的方法:首先创建代理ip对象;然后定制一个opener对象;接着urlopen就一直使用这个代理地址;最后发出请求时,就是用到这个代理地址了。
【相关学习推荐:python教程】
python用IP代理的方法:
python使用代理的方法有两种
1.
1 #先创建代理ip对象 2 proxy_support = urllib.request.ProxyHandler({'https':'117.64.149.137:808'}) 3 4 #定制一个opener对象 5 opener = urllib.request.build_opener(proxy_support) 6 7 #安装这个opener对象,以后的urlopen就一直使用这个代理地址了 8 urllib.request.install_opener(opener) 9 10 #发出请求时,就是用到这个代理地址了 11 html = urllib.request.urlopen('xxxxxxxxxx').read()
2.
1 #先创建代理ip对象 2 proxy_support = urllib.request.ProxyHandler({'https':'117.64.149.137:808'}) 3 4 #定制一个opener对象 5 opener = urllib.request.build_opener(proxy_support) 6 7 #这里可以直接使用opener对象发出请求 8 html = opener.open('xxxxxxxxx').read()
示例代码:
1 import urllib.request 2 3 #这一段三句话是为了请求时带上浏览器标识,因为有的网站看到是爬虫的标识直接返回403 4 #请求的网站不涉及到提交数据,所以没有给出data参数 5 url = 'https://whatismyipaddress.com/' 6 header = {'User-Agent':'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36'} 7 req = urllib.request.Request(url,headers=header) 8 9 #使用代理和还原不使用代理的方法 10 #if语句相当于一个开关,不要写成True 11 use_proxy = urllib.request.ProxyHandler({'https':'117.64.149.137:808'}) 12 null_proxy = urllib.request.ProxyHandler() 13 if True: 14 opener = urllib.request.build_opener(use_proxy) 15 else: 16 opener = urllib.request.build_opener(null_proxy) 17 #根据上面的开关,安装的opener对象是否带有代理地址 18 urllib.request.install_opener(opener) 19 20 #获取返回结果 21 #同时可以使用html = opener.open(req).read()获取结果 22 html = urllib.request.urlopen(req).read() 23 24 #这网页返回页面的内容太多,在控制台不好查看, 25 #并且返回的内容是二进制格式,可以直接写入文件,当个网页查看 26 with open('E:\\whatismyip.html','wb') as file: 27 file.write(html) 28 print('OK')
想了解更多相关学习,敬请关注php培训栏目!
The above is the detailed content of How to use IP proxy in python. For more information, please follow other related articles on the PHP Chinese website!

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

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

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

Hot Topics











PHP is mainly procedural programming, but also supports object-oriented programming (OOP); Python supports a variety of paradigms, including OOP, functional and procedural programming. PHP is suitable for web development, and Python is suitable for a variety of applications such as data analysis and machine learning.

PHP is suitable for web development and rapid prototyping, and Python is suitable for data science and machine learning. 1.PHP is used for dynamic web development, with simple syntax and suitable for rapid development. 2. Python has concise syntax, is suitable for multiple fields, and has a strong library ecosystem.

PHP originated in 1994 and was developed by RasmusLerdorf. It was originally used to track website visitors and gradually evolved into a server-side scripting language and was widely used in web development. Python was developed by Guidovan Rossum in the late 1980s and was first released in 1991. It emphasizes code readability and simplicity, and is suitable for scientific computing, data analysis and other fields.

Python is more suitable for beginners, with a smooth learning curve and concise syntax; JavaScript is suitable for front-end development, with a steep learning curve and flexible syntax. 1. Python syntax is intuitive and suitable for data science and back-end development. 2. JavaScript is flexible and widely used in front-end and server-side programming.

To run Python code in Sublime Text, you need to install the Python plug-in first, then create a .py file and write the code, and finally press Ctrl B to run the code, and the output will be displayed in the console.

Writing code in Visual Studio Code (VSCode) is simple and easy to use. Just install VSCode, create a project, select a language, create a file, write code, save and run it. The advantages of VSCode include cross-platform, free and open source, powerful features, rich extensions, and lightweight and fast.

VS Code can be used to write Python and provides many features that make it an ideal tool for developing Python applications. It allows users to: install Python extensions to get functions such as code completion, syntax highlighting, and debugging. Use the debugger to track code step by step, find and fix errors. Integrate Git for version control. Use code formatting tools to maintain code consistency. Use the Linting tool to spot potential problems ahead of time.

Running Python code in Notepad requires the Python executable and NppExec plug-in to be installed. After installing Python and adding PATH to it, configure the command "python" and the parameter "{CURRENT_DIRECTORY}{FILE_NAME}" in the NppExec plug-in to run Python code in Notepad through the shortcut key "F6".
