Today’s article mainly introduces about Python web crawler-about simple simulated login, which has certain reference value. Now I share it with everyone. Friends in need can refer to
and get the web page The information is different. If you want to simulate login, you need to send some information to the server, such as account number, password, etc.
Simulating login to a website is roughly divided into the following steps:
1. First find the hidden information of the login website and copy its contents Save first (since the website I logged in here does not have additional information, there is no information filtering and saving here)
2. Submit the information
3. Obtain the information after login
Give me the source code first
<span style="font-size: 14px;"># -*- coding: utf-8 -*- import requests def login(): session = requests.session() # res = session.get('http://my.its.csu.edu.cn/').content login_data = { 'userName': '3903150327', 'passWord': '136510', 'enter': 'true' } session.post('http://my.its.csu.edu.cn//', data=login_data) res = session.get('http://my.its.csu.edu.cn/Home/Default') print(res.text) login()</span>
##1. Filter to get hidden information
Enter the developer tools (press F12), find the Network, log in manually, and find the first request. There will be a data segment at the bottom of the Header. This Just the information needed to log in. If you want to modify the hidden informationGet the Html content of the web page firstres = session.get('http://my.its.csu.edu.cn/').contentThen filter the content through regular expressions
2. Submit the information
Find the action and method required to submit the form in the source codeUsesession.post('http://my.its.csu.edu.cn/(这里就是提交的action)', data=login_data)This method submits information
3. Obtain information after login
After the information is submitted, the simulated login is successfulThen you can get the login informationres = session.get('http://my.its.csu.edu.cn/Home/Default').contentRelated recommendations:
Instance of Python crawler grabbing proxy IP and checking availability
Python crawler browser identification library
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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.


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