因为最近疫情慢慢又开始起来了，我也很担心疫情，所以用爬虫做了一个疫情爬取程序，没有做太细，一个大致的框架，感兴趣的可以看一下，顺便提醒一下出门别忘了戴口罩，防范疫情！！！
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上代码：
# -*- coding: utf-8 -*-
import requests
from bs4 import BeautifulSoup
URL = requests.get('http://m.sy72.com/covid19/')
URL2 = URL.content
Soup = BeautifulSoup(URL2,'html.parser',from_encoding="utf-8") #解析器
"""更新日期"""
date = Soup.find('div', attrs={'class': 'gn'}).find('span').get_text()
print('-------------------[国内疫情]: ['+date+']-------------------')
Existing_diagnosis = Soup.find('div', attrs={'class': 't2'}).get_text()
Existing_diagnosis_list = Soup.find('div', attrs={'class': 't1 c0'}).get_text()
Existing_diagnosis_list2 = Soup.find('span', attrs={'class': 'c0'}).get_text()
Cumulative_diagnosis = Soup.find_all('div', attrs={'class': 't2'})[1].get_text()
Cumulative_diagnosis_list = Soup.find('div', attrs={'class': 't1 c1'}).get_text()
Cumulative_diagnosis_list2 = Soup.find('span', attrs={'class': 'c1'}).get_text()
Suspected_case = Soup.find_all('div', attrs={'class': 't2'})[2].get_text()
Suspected_case_list = Soup.find('div', attrs={'class': 't1 c2'}).get_text()
Suspected_case_list2 = Soup.find('span', attrs={'class': 'c2'}).get_text()
Cured_cases = Soup.find_all('div', attrs={'class': 't2'})[3].get_text()
Cured_cases_list = Soup.find('div', attrs={'class': 't1 c3'}).get_text()
Cured_cases_list2 = Soup.find('span', attrs={'class': 'c3'}).get_text()
Cases_deaths = Soup.find_all('div', attrs={'class': 't2'})[4].get_text()
Cases_deaths_list = Soup.find('div', attrs={'class': 't1 c4'}).get_text()
Cases_deaths_list2 = Soup.find('span', attrs={'class': 'c4'}).get_text()
print('['+Existing_diagnosis +f'：{Existing_diagnosis_list}{Existing_diagnosis_list2}] ['+ Cumulative_diagnosis+f'：{Cumulative_diagnosis_list}{Cumulative_diagnosis_list2}] ['+Suspected_case+f'：{Suspected_case_list}{Suspected_case_list2}] ['+Cured_cases+f'：{Suspected_case_list}{Cured_cases_list2}] ['+Cases_deaths+f'：{Cases_deaths_list}{Cases_deaths_list2}]')
Overseas_input = Soup.find_all('div', attrs={'class': 't2'})[5].get_text()
Overseas_input_list = Soup.find('div', attrs={'class': 't1 c5'}).get_text()
Overseas_input_list2 = Soup.find('span', attrs={'class': 'c5'}).get_text()
Asymptomatic = Soup.find_all('div', attrs={'class': 't2'})[6].get_text()
Asymptomatic_list = Soup.find('div', attrs={'class': 't1 c6'}).get_text()
Asymptomatic_list2 = Soup.find('span', attrs={'class': 'c6'}).get_text()
Existing_symptoms = Soup.find_all('div', attrs={'class': 't2'})[7].get_text()
Existing_symptoms_list = Soup.find('div', attrs={'class': 't1 c7'}).get_text()
Existing_symptoms_list2 = Soup.find('span', attrs={'class': 'c7'}).get_text()
High_risk_areas = Soup.find_all('div', attrs={'class': 't2'})[8].get_text()
High_risk_areas_list = Soup.find('div', attrs={'class': 't1 c8'}).get_text()
#High_risk_areas_list2 = Soup.find('span', attrs={'class': 'c8'}).get_text()
Medium_risk_area = Soup.find_all('div', attrs={'class': 't2'})[9].get_text()
Medium_risk_area_list = Soup.find('div', attrs={'class': 't1 c9'}).get_text()
#Medium_risk_area_list2 = Soup.find('span', attrs={'class': 'c9'}).get_text()
print('['+Overseas_input +f'：{Overseas_input_list}{Overseas_input_list2}] ['+ Asymptomatic+f'：{Asymptomatic_list}{Asymptomatic_list2}] ['+Existing_symptoms+f'：{Existing_symptoms_list}{Existing_symptoms_list2}] ['+High_risk_areas+f'：{High_risk_areas_list}] ['+Medium_risk_area+f'：{Medium_risk_area_list}]')
URL = requests.get('http://m.sy72.com/world/')
URL2 = URL.content
Soup = BeautifulSoup(URL2,'html.parser',from_encoding="utf-8") #解析器
print('\n-------------------[国外疫情]: ['+date+']-------------------')
Existing_diagnosis_1 = Soup.find('div', attrs={'class': 't2'}).get_text()
Existing_diagnosis_1_list = Soup.find('div', attrs={'class': 't1 c1'}).get_text()
Existing_diagnosis_1_list2 = Soup.find('div',attrs={'class': 'sjj'}).find('span').get_text()
Total_definite_diagnosis = Soup.find_all('div', attrs={'class': 't2'})[1].get_text()
Total_definite_diagnosis_list = Soup.find_all('div', attrs={'class': 't1 c1'})[1].get_text()
Total_definite_diagnosis_list2 = Soup.find_all('div',attrs={'class': 'sjj'})[1].find('span').get_text()
Total_cured = Soup.find_all('div', attrs={'class': 't2'})[2].get_text()
Total_cured_list = Soup.find('div', attrs={'class': 't1 c3'}).get_text()
Total_cured_list2 = Soup.find_all('div',attrs={'class': 'sjj'})[2].find('span').get_text()
Total_deaths = Soup.find_all('div', attrs={'class': 't2'})[3].get_text()
Total_deaths_list = Soup.find('div', attrs={'class': 't1 c4'}).get_text()
Total_deaths_list2 = Soup.find_all('div',attrs={'class': 'sjj'})[3].find('span').get_text()
print('['+Existing_diagnosis_1 +f'：{Existing_diagnosis_1_list}{Existing_diagnosis_1_list2}] ['+ Total_definite_diagnosis+f'：{Total_definite_diagnosis_list}{Total_definite_diagnosis_list2}] '
f' ['+Total_cured+f'：{Total_cured_list}{Total_cured_list2}] ['+Total_deaths+f'：{Total_deaths_list}{Total_deaths_list2}]')
内容较为简单