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This article mainly introduces "how to use Python to write an automated robot to eliminate advertising". In daily operation, I believe many people have doubts about how to use Python to write an automated robot to eliminate advertising. The editor consulted all kinds of materials and sorted out simple and easy-to-use operation methods. I hope it will be helpful to answer the doubts about "how to write an automated robot to eliminate advertising with Python". Next, please follow the editor to study!

The first round

In fact, the initial idea is very simple, a total of two steps, first successfully identify these people and then use Python to kick them out.

But these two steps, each step is not simple, first talk about the first step how to accurately identify these users, there is no data on the Internet and there is not a good identification standard, I can only use my brain to complete feature recognition. After the sample training of nearly 100 advertising users in the past few months, my "artificial intelligence" can basically judge that an abnormal user can meet at least three of the following items:

The Wechat account is not set.

The avatar is an Internet celebrity girl.

Wechat is called a special symbol or emoji.

I have never posted it on moments.

There is no background picture of moments.

After the approval, there will be no reply other than the application for joining the group.

And according to historical data, users who meet items 1 or 3 are highly likely to be small advertising enthusiasts, so the next thing to do is to use Python to write code to find out these people on Wechat. After summing up this rule, I am optimistic that it is not difficult to achieve this requirement, because I used Python to study Wechat friends a few years ago. Neither wxpy nor itchat should be complicated to operate, but it turns out that I am still too young.

I don't know when, although these libraries can still be installed and used, Wechat has basically prohibited most people from logging in to the web version of Wechat, so when I use multiple WeChat accounts to scan the QR code to log in to Wechat, prompt me without exception

1203 for the security of your account, this WeChat account is no longer allowed to log in to the web page Wechat. You can log in on your computer using Windows Wechat or Mac Wechat.

It was a headache. I couldn't manually check thousands of my Wechat friends, so I began to wonder if there were other solutions.

The second round

If you often write about Python crawlers, you will know that in some cases, rather than using Requests to deal with disgusting anti-crawling measures, Selenium is not as easy to operate. So after finding that the idea of using Wechat-based API failed, I turned my attention to a relatively stupid approach-pynput

Pynput is a third-party library that uses Python to control and monitor computer mice and keyboards. At this point, you probably understand what I want to do. I can't get the data directly with API, so I am like Selenium, simulated clicking on a friend to achieve the operation I want.

The following is a brief talk about this library, because there are not too many dependent libraries, so it is easy to install, directly pip install pynput, and easy to use, for mouse operations only rely on coordinates, see a demo?

As demonstrated by GIF above, import pynput and instantiate a mouse controller, then submit the position of Wechat on the status bar to mouse.position so that the mouse moves to that location, and then use mouse.press to simulate a mouse click to automatically open Wechat. So the question is, how do I get the coordinates of the location I want? You can't try it bit by bit!

In addition to using Controller to control the mouse, pynput can also monitor the mouse, such as using the following code to record the location of each mouse click after the program starts?

From pynput import mouse def on_move (XMague y): print ('mouse move to {0}' .format ((XMago y) def on_click (XRecience y, button, pressed): print ('{0} at coordinates {1} '.format (' mouse click'if pressed else 'mouse release', (xMague y) if not pressed: return False while True: with mouse.Listener (on_moveon_move = on_move) On_clickon_click = on_click) as listener: listener.join ()

Then the next task is simple. We just need to keep the Wechat window motion.After recording the coordinates of each key location (Wechat icon location, group chat window location, and individual group member avatar position), for example, if we want to judge the first rule mentioned above, that is, whether each group member's WeChat account is set, we can do the following by simulating:

Click Wechat app

Click the group chat you need.

Click on the avatar of each group member in turn

Move to the position of WeChat account.

Double-click the Wechat account

Copy the WeChat account to determine whether it is the original Wechat account.

In the above process, it is worth mentioning that the last step is to copy. We can use the keyboard controller in pynput. After double-clicking the corresponding WeChat account, we can use the following code to simulate the keyboard input Command + C to complete the copy operation.

From pynput.keyboard import Key from pynput.keyboard import Controller as Controller1 keyboard = Controller1 () with keyboard.pressed (Key.cmd): keyboard.press ('c') keyboard.release ('c')

But paste does not need to use pynput to simulate command+c to paste into another editing complex process, we can use the third-party library pyperclip, directly through the following two lines of code to convert the copied text into a string

Import pyperclip pyperclip.paste ()

After converting a group member's WeChat account into a string, we can easily judge whether the member's WeChat account is the initial WeChat account by judging the length of the string, using regular expressions or other methods. To realize the judgment of rule 1, the following code and dynamic diagram are the complete process of getting the WeChat account of the first group member.

From pynput.mouse import Button, Controller import time from pynput.keyboard import Key from pynput.keyboard import Controller as Controller1 import pyperclip mouse = Controller () # Click Wechat mouse.position = (1046.14453125, 4.546875) time.sleep (2) mouse.press (Button.left) mouse.release (Button.left) # Click avatar mouse.position = (1194.140625) 441.05859375) time.sleep (1) mouse.press (Button.left) mouse.release (Button.left) # Click to select the text mouse.position = (965.60546875, 284.0390625) time.sleep (1) mouse.click (Button.left 2) keyboard = Controller1 () with keyboard.pressed (Key.cmd): keyboard.press ('c') keyboard.release ('c') time.sleep (1) wechatid = pyperclip.paste () print (f "WeChat {wechatid} suspected ad number" if len (wechatid) > 20 else f "WeChat {wechatid} is not an ad account")

You can see that the early Wechat was successfully excluded from the ad account.

Then you only need to record the coordinate distance between each two group members, and then cycle to simulate scrolling or drop-down to realize the above process, and the WeChat accounts of all the members in the group can be judged according to rule 1. Those members who find anomalies are judged separately.

We can see that Wechat finally found six suspected ad numbers, and then through the manual judgment of other rules, the two users were finally determined as high-risk users of advertising and removed.

At this point, the study on "how to write an automated robot to eliminate advertising with Python" is over. I hope to be able to solve your doubts. The collocation of theory and practice can better help you learn, go and try it! If you want to continue to learn more related knowledge, please continue to follow the website, the editor will continue to work hard to bring you more practical articles!

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