This article mainly introduces examples of using http and https proxy for Python. It has certain reference value. Now I share it with you. Friends in need can refer to it.
Using Python in China to When crawling data on the Internet, some websites or API interfaces are speed-limited or blocked. In this case, using a proxy can speed up the crawling process and reduce request failures. The main ways for Python programs to use proxies are as follows:
(1)If you use some network libraries or crawler frameworks in the code to crawl data, generally such frameworks will support setting agents, for example:
<span style="font-size:14px;">import urllib.request as urlreq # 设置https代理 ph = urlreq.ProxyHandler({'https': 'https://127.0.0.1:1080'}) oper = urlreq.build_opener(ph) # 将代理安装到全局环境,这样所有请求都会自动使用代理 urlreq.install_opener(oper) res = oper.open("https://www.google.com") print(res.read())</span>
<span style="font-size:14px;">import requests as req print(req.get("https://www.google.com", proxies={'https': 'https://127.0.0.1:1080'}).content)</span>
(2)If the library used does not provide an interface for setting a proxy , but the bottom layer uses libraries such as urllib and requests. You can try to set the HTTP_PROXY and HTTPS_PROXY environment variables. Commonly used network libraries will automatically identify these environment variables and use the proxy set by the variables to initiate requests. The settings are as follows:
import os os.environ['http_proxy'] = 'http://127.0.0.1:1080' os.environ['https_proxy'] = 'https://127.0.0.1:1080'
(3)If the above two methods are useless, you can also use some tools that can monitor, intercept and modify network packets Use libraries such as Fiddler and mitmproxy to intercept http request packets and modify the address to achieve the effect of using a proxy.
Related recommendations:
Use python socket to send http(s) request method
The above is the detailed content of Example explanation of using http and https proxy in python. For more information, please follow other related articles on the PHP Chinese website!

To maximize the efficiency of learning Python in a limited time, you can use Python's datetime, time, and schedule modules. 1. The datetime module is used to record and plan learning time. 2. The time module helps to set study and rest time. 3. The schedule module automatically arranges weekly learning tasks.

Python excels in gaming and GUI development. 1) Game development uses Pygame, providing drawing, audio and other functions, which are suitable for creating 2D games. 2) GUI development can choose Tkinter or PyQt. Tkinter is simple and easy to use, PyQt has rich functions and is suitable for professional development.

Python is suitable for data science, web development and automation tasks, while C is suitable for system programming, game development and embedded systems. Python is known for its simplicity and powerful ecosystem, while C is known for its high performance and underlying control capabilities.

You can learn basic programming concepts and skills of Python within 2 hours. 1. Learn variables and data types, 2. Master control flow (conditional statements and loops), 3. Understand the definition and use of functions, 4. Quickly get started with Python programming through simple examples and code snippets.

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...


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

SublimeText3 Chinese version
Chinese version, very easy to use

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

SecLists
SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.

Dreamweaver Mac version
Visual web development tools

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