Recently, there are a lot of outsourcing of automatic answering questions. Let me share with you how to use Python to realize automatic answering questions.

Well without further ado, let's get started.

First you need to prepare these

environment use

Python 3.8 解释器
Pycharm  编辑器

module use

import requests  ---> 数据请求模块 pip install requests
import re
from selenium import webdriver ---> 自动测试模块 pip install selenium==3.141.0  <指定版本安装>

other tools

Google Chrome
Google Chrome Drive

Driver installation tutorial: Google Chrome

Automatic answering tool: selenium automated test module
selenium --> simulate human behavior to operate the browser

Normal answering process

open browser
visit website
browse topics
Choose what you think is the correct answer

for the program

Browse the questions
<get the question answer question bank>
I. Get all the questions and answers
II. During the answering process, automatically get the answer content of this question
Each question has an answer analysis page:
https:/ .com/Post/9e209.htm
https:// .com/Post/d72d6.htm
https://***.com/Post/6f533.htm
is equivalent to the page ID --> Get the ID of 50 questions and build the answer page url for 50 questions address
Choose the answer you think is correct
Compare the answer with the options and choose the same

Keywords: tiba.jsyks

Code combat

module

# selenium 需要安装 pip install selenium==3.141.0
from selenium import webdriver
# 导入数据请求模块
import requests
# 导入正则表达式
import re

open browser

# <selenium.webdriver.chrome.webdriver.WebDriver (session="c55234aeab1503a9ab7ba8a4dd7bf457")>
driver = webdriver.Chrome()
# 访问网址
driver.get('https://www.***.com/kms-mnks')
# 最大化浏览器
driver.maximize_window()

selenium get data

# 通过 CSS 选择器查找元素
lis = driver.find_elements_by_css_selector('div.Exam ul li')
# for循环遍历
for li in lis:
    # get_attribute 获取标签属性
    answer_id = li.get_attribute('c')

send request

# 请求链接
link = f'https://**.***.com/Post/{
      
      answer_id}.htm'
# 模拟 伪装浏览器 <请求头>
headers = {
    
    
    # User-Agent 用户代理 表示浏览器基本身份信息
    'User-Agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36'
}
# 发送请求, 获取响应文本数据
html_data = requests.get(link, headers=headers).text

Analytical data

answer = re.findall('br/>答案：<u>(.*?)</u>', html_data)[0]

Get options tab

bs = li.find_elements_by_css_selector('b')

for loop traversal

for b in bs:
    # 获取选项内容
    choose = b.text
    # 对于选项进行处理 判断选择是否正确
    if choose == '正确':
        # 重新赋值为对
        choose = '对'
    elif choose == '错误':
        choose = '错'
    # len内置函数, 统计元素个数
    elif len(choose) > 2: # 判断当选项内容元素大于2的时候
        # [0] 根据索引位置取值, 提取第一个元素
        choose = choose[0]
    for a in answer:
        # 当选项和答案相等时候, 进行点击操作
        if choose == a:
            b.click()

submit test paper

driver.find_element_by_class_name('btn_JJ').click()

At this point, we can happily answer questions automatically, which is quite simple. If you don’t know how to operate, I have a detailed operation video, which is packaged together with the source code. You can get a business card at the end of the article.

Well, today's sharing is over here, see you next time!

Write an automatic answering tool in Python, and you will get full marks in minutes

First you need to prepare these

Code combat

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