python写代理ip的方法:首先创建代理ip对象,并定制一个opener对象;然后安装opener对象,以后的urlopen就一直使用这个代理地址。

python写代理ip的方法:
方法1:
先创建代理ip对象
proxy_support = urllib.request.ProxyHandler({'https':'117.64.149.137:808'})定制一个opener对象
opener = urllib.request.build_opener(proxy_support)
安装这个opener对象,以后的urlopen就一直使用这个代理地址了
urllib.request.install_opener(opener)
发出请求时,就是用到这个代理地址了
html = urllib.request.urlopen('xxxxxxxxxx').read()
方法2:
先创建代理ip对象
proxy_support = urllib.request.ProxyHandler({'https':'117.64.149.137:808'})定制一个opener对象
opener = urllib.request.build_opener(proxy_support)
这里可以直接使用opener对象发出请求
html = opener.open('xxxxxxxxx').read()
示例代码:
import urllib.request
#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
#请求的网站不涉及到提交数据,所以没有给出data参数
url = 'https://whatismyipaddress.com/'
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'}
req = urllib.request.Request(url,headers=header)
#使用代理和还原不使用代理的方法
#if语句相当于一个开关,不要写成True
use_proxy = urllib.request.ProxyHandler({'https':'117.64.149.137:808'})
null_proxy = urllib.request.ProxyHandler()
if True:
opener = urllib.request.build_opener(use_proxy)
else:
opener = urllib.request.build_opener(null_proxy)
#根据上面的开关,安装的opener对象是否带有代理地址
urllib.request.install_opener(opener)
#获取返回结果
#同时可以使用html = opener.open(req).read()获取结果
html = urllib.request.urlopen(req).read()
#这网页返回页面的内容太多,在控制台不好查看,
#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
with open('E:\\whatismyip.html','wb') as file:
file.write(html)
print('OK')相关免费学习推荐:python教程(视频)
The above is the detailed content of How to write python proxy ip. For more information, please follow other related articles on the PHP Chinese website!
Learning Python: Is 2 Hours of Daily Study Sufficient?Apr 18, 2025 am 12:22 AMIs it enough to learn Python for two hours a day? It depends on your goals and learning methods. 1) Develop a clear learning plan, 2) Select appropriate learning resources and methods, 3) Practice and review and consolidate hands-on practice and review and consolidate, and you can gradually master the basic knowledge and advanced functions of Python during this period.
Python for Web Development: Key ApplicationsApr 18, 2025 am 12:20 AMKey applications of Python in web development include the use of Django and Flask frameworks, API development, data analysis and visualization, machine learning and AI, and performance optimization. 1. Django and Flask framework: Django is suitable for rapid development of complex applications, and Flask is suitable for small or highly customized projects. 2. API development: Use Flask or DjangoRESTFramework to build RESTfulAPI. 3. Data analysis and visualization: Use Python to process data and display it through the web interface. 4. Machine Learning and AI: Python is used to build intelligent web applications. 5. Performance optimization: optimized through asynchronous programming, caching and code
Python vs. C : Exploring Performance and EfficiencyApr 18, 2025 am 12:20 AMPython is better than C in development efficiency, but C is higher in execution performance. 1. Python's concise syntax and rich libraries improve development efficiency. 2.C's compilation-type characteristics and hardware control improve execution performance. When making a choice, you need to weigh the development speed and execution efficiency based on project needs.
Python in Action: Real-World ExamplesApr 18, 2025 am 12:18 AMPython's real-world applications include data analytics, web development, artificial intelligence and automation. 1) In data analysis, Python uses Pandas and Matplotlib to process and visualize data. 2) In web development, Django and Flask frameworks simplify the creation of web applications. 3) In the field of artificial intelligence, TensorFlow and PyTorch are used to build and train models. 4) In terms of automation, Python scripts can be used for tasks such as copying files.
Python's Main Uses: A Comprehensive OverviewApr 18, 2025 am 12:18 AMPython is widely used in data science, web development and automation scripting fields. 1) In data science, Python simplifies data processing and analysis through libraries such as NumPy and Pandas. 2) In web development, the Django and Flask frameworks enable developers to quickly build applications. 3) In automated scripts, Python's simplicity and standard library make it ideal.
The Main Purpose of Python: Flexibility and Ease of UseApr 17, 2025 am 12:14 AMPython's flexibility is reflected in multi-paradigm support and dynamic type systems, while ease of use comes from a simple syntax and rich standard library. 1. Flexibility: Supports object-oriented, functional and procedural programming, and dynamic type systems improve development efficiency. 2. Ease of use: The grammar is close to natural language, the standard library covers a wide range of functions, and simplifies the development process.
Python: The Power of Versatile ProgrammingApr 17, 2025 am 12:09 AMPython is highly favored for its simplicity and power, suitable for all needs from beginners to advanced developers. Its versatility is reflected in: 1) Easy to learn and use, simple syntax; 2) Rich libraries and frameworks, such as NumPy, Pandas, etc.; 3) Cross-platform support, which can be run on a variety of operating systems; 4) Suitable for scripting and automation tasks to improve work efficiency.
Learning Python in 2 Hours a Day: A Practical GuideApr 17, 2025 am 12:05 AMYes, learn Python in two hours a day. 1. Develop a reasonable study plan, 2. Select the right learning resources, 3. Consolidate the knowledge learned through practice. These steps can help you master Python in a short time.


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

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

SAP NetWeaver Server Adapter for Eclipse
Integrate Eclipse with SAP NetWeaver application server.

SublimeText3 English version
Recommended: Win version, supports code prompts!

Atom editor mac version download
The most popular open source editor

Dreamweaver Mac version
Visual web development tools






