Python and selenium realize automatic login of 163 mailbox
This article mainly introduces the method of python+selenium to realize automatic login of 163 mailbox. The editor thinks it is quite good, so I will share it with you now and give it as a reference. Let’s follow the editor to take a look, I hope it can help everyone.
Let us first preview the running effect of the code:
First analyze the web page structure of the 163 mailbox login page (press F12 or right-click to select Review elements)
#1. Locate the login box (note that the login box is an iframe. If you do not locate the iframe, you will not be able to find the subsequent email address box and password input box. )
#2. Navigate to the email address box (name='email')
3. Navigate to Password input box (name='password')
4. Locate the login button (id='dologin')
5. After the analysis, you can now write code to realize automatic login of 163 mailbox (with detailed analysis of the code!)
#coding:utf-8 from selenium import webdriver import time def login(): dr = webdriver.Chrome() #打开登陆163邮箱的网页 dr.get('http://mail.163.com/') #将浏览器窗口最大化 dr.maximize_window() #休息五分钟等待网页加载完毕 time.sleep(5) #找到邮箱账号登录框对应的iframe dr.switch_to.frame('x-URS-iframe') #找到邮箱账号输入框 email = dr.find_element_by_name('email') #将自己的邮箱地址输入到邮箱账号框中 email.send_keys('chimuyhs') #找到密码输入框 password = dr.find_element_by_name('password') #输入自己的邮箱密码 password.send_keys('xxxxxx') #找到登陆按钮 login_btn = dr.find_element_by_id('dologin') #点击登陆按钮 login_btn.click() #等待10秒看是否登陆成功 time.sleep(10) if __name__ == '__main__': login()
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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.

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