Python：爬取疫情每日数据PythonCyber的博客-

前言：

我最近一次更新已经是3月中旬的事情了，卫健委的数据格式一直在变，所以代码只能说仅供参考！

代码

import requests from bs4 import BeautifulSoup import datetime import re from selenium import webdriver import time import xlwings as xw  def get_sh_data(url): '''获得上海卫健委的数据'''     r = requests.get(url=url, headers=sh_headers)     sh_dict = {}     soup = BeautifulSoup(r.text, 'lxml') # print(soup)     ivs_content = soup.find(name='div', attrs={'id':'ivs_content', 'class':'Article_content'})     new_text = ivs_content.get_text() # print(new_text)     sh_dict['累计排除疑似'] = re.search('已累计排除疑似病例(d+)例', new_text).group(1)     sh_dict['累计确诊'] = re.search('发现确诊病例(d+)例', new_text).group(1)     style2 = '(d+)例病情危重，(d+)例重症，(d+)例治愈出院，(d+)例死亡'     sh_dict['累计重症'] = int(re.search(style2, new_text).group(1)) + int(re.search(style2, new_text).group(2))     sh_dict['累计治愈'] = re.search(style2, new_text).group(3)     sh_dict['累计死亡'] = re.search(style2, new_text).group(4)     sh_dict['累计疑似'] = re.search('尚有(d+)例疑似病例正在排查中', new_text).group(1) return sh_dict  def get_sh_today_news(): '''获得上海卫健委的新闻'''     url = r'https://wsjkw.sh.gov.cn/xwfb/index.html'     r = requests.get(url=url, headers=sh_headers)     soup = BeautifulSoup(r.text, 'lxml') # print(soup)     today_format = datetime.datetime.today().strftime('%Y-%m-%d')     today_sh_news = soup.find_all(name='span', text=today_format)     today_counts = len(today_sh_news) for i in range(today_counts-1, -1, -1):         title = today_sh_news[i].find_previous_sibling(name='a').attrs['title'] # 标题         href = 'https://wsjkw.sh.gov.cn' + today_sh_news[i].find_previous_sibling(name='a').attrs['href'] #网址 if title.startswith('上海新增'): # print(title) return get_sh_data(href) def get_all_today_news(): '''获得国家卫健委的新闻'''     url = 'https://www.nhc.gov.cn/xcs/yqtb/list_gzbd.shtml'     r = requests.get(url, headers=quanguo_headers)     soup = BeautifulSoup(r.text, 'lxml') # print(soup)     today_format = datetime.datetime.today().strftime('%Y-%m-%d')     latest_news_title = soup.find(name='span', text=today_format).find_previous_sibling(name='a').attrs['title']     latest_news_href = 'https://www.nhc.gov.cn' + soup.find(name='span', text=today_format).find_previous_sibling(name='a').attrs['href'] # print(latest_news_href) return get_all_today_data(latest_news_href) def get_all_today_data(url): '''获得国家卫健委的数据'''     r = requests.get(url, headers=quanguo_headers)     all_dict = {}     hubei_dict = {}     soup = BeautifulSoup(r.text, 'lxml')     news = soup.find(name='p').get_text() # print(news)     all_dict['新增疑似'] = re.search('新增疑似病例(d+)例', news).group(1)     all_dict['累计疑似'] = re.search('现有疑似病例(d+)例', news).group(1)     all_dict['累计确诊'] = re.search('累计报告确诊病例(d+)例', news).group(1)     all_dict['累计重症'] = re.search('其中重症病例(d+)例', news).group(1)     all_dict['累计死亡'] = re.search('累计死亡病例(d+)例', news).group(1)     all_dict['累计治愈'] = re.search('累计治愈出院病例(d+)例', news).group(1)      hubei_dict['新增疑似'] = re.search('新增疑似病例(d+)例.*?（武汉(d+)例', news).group(1)     hubei_dict['新增确诊'] = re.search('湖北新增确诊病例(d+)例.*?（武汉(d+)例', news).group(1)     hubei_dict['新增死亡'] = re.search('新增死亡病例(d+)例.*?（武汉(d+)例', news).group(1)     hubei_dict['新增治愈'] = re.search('新增治愈出院病例(d+)例（武汉(d+)例）', news).group(1)     hubei_dict['累计重症'] = re.search('其中重症病例(d+)例.*?（武汉(d+)例', news).group(1) # print(all_dict, hubei_dict) return all_dict, hubei_dict  def get_cookie(url):     driver = webdriver.Chrome()     driver.get(url)     time.sleep(3)     cookies = driver.get_cookies()     driver.quit()     items = [] for i in range(len(cookies)):         cookie_value = cookies[i]         item = cookie_value['name'] + '=' + cookie_value['value']         items.append(item)     cookiestr = '; '.join(a for a in items) return cookiestr  def get_into_excel(): '''把数据贴到excel里'''     app = xw.App(visible=True, add_book=False)     app.display_alerts = False     app.screen_updating = False      wb = app.books.open('新型冠状病毒每日数据.xlsx')     ws = wb.sheets['all']     max_row = ws.api.UsedRange.Rows.count     ws.range('C' + str(max_row)).value = hubei_data['新增确诊']     ws.range('K' + str(max_row)).value = hubei_data['新增死亡']     ws.range('O' + str(max_row)).value = hubei_data['新增治愈']     ws.range('S' + str(max_row)).value = hubei_data['新增疑似']     ws.range('AA' + str(max_row)).value = hubei_data['累计重症']      ws.range('R' + str(max_row)).value = all_data['新增疑似']     ws.range('AL' + str(max_row)).value = all_data['累计疑似']     ws.range('V' + str(max_row)).value = all_data['累计确诊']     ws.range('Z' + str(max_row)).value = all_data['累计重症']     ws.range('AD' + str(max_row)).value = all_data['累计死亡']     ws.range('AH' + str(max_row)).value = all_data['累计治愈']      ws.range('AN' + str(max_row)).value = sh_data['累计排除疑似']     ws.range('Y' + str(max_row)).value = sh_data['累计确诊']     ws.range('AC' + str(max_row)).value = sh_data['累计重症']     ws.range('AK' + str(max_row)).value = sh_data['累计治愈']     ws.range('AG' + str(max_row)).value = sh_data['累计死亡']     ws.range('AM' + str(max_row)).value = sh_data['累计疑似']      wb.save()     wb.close()     app.quit() if __name__ == "__main__":     sh_headers = { 'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/69.0.3497.100 Safari/537.36', 'Cookie': get_cookie('https://wsjkw.sh.gov.cn/xwfb/index.html'), # 'Cookie': 'zh_choose=s; zh_choose=s; _gscu_2010802395=80620430ie0po683; yd_cookie=12f170fc-e368-4a662db5220af2d434160e259b2e31585efb; _ydclearance=2cd0a8873fd311efcda1c1aa-05fc-4001-a108-0e86b80b3fee-1580700296; _gscbrs_2010802395=1; _pk_ref.30.0806=%5B%22%22%2C%22%22%2C1580693101%2C%22https%3A%2F%2Fwww.baidu.com%2Flink%3Furl%3DDVUbOETLyMZLC5c_V7RJRbAYPvyqaU3f2PCBi2-E6KC2QEFltdrKWGmhgA5NbC3c%26wd%3D%26eqid%3Df38b30250015e1c5000000045e365a8d%22%5D; _pk_ses.30.0806=*; _pk_id.30.0806=35b481da38abb562.1580620431.6.1580694952.1580693101.; _gscs_2010802395=80693100qds57e17|pv:6; AlteonP=ALa1BGHbHKyWUqcNUGRETw$$', 'Host': 'wsjkw.sh.gov.cn' }     quanguo_headers = { 'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/69.0.3497.100 Safari/537.36', 'Cookie': 'oHAcoULcWCQb80S=pxzexGFCvyGV4xDkaMHSyjBmzwXn5O4vfCbxFCgMDfcBaKqsFU9FHstqjFY6wJt9; yfx_c_g_u_id_10006654=_ck20020209283417867964364567575; _gscu_2059686908=81579037nbf5xc58; insert_cookie=67313298; yfx_f_l_v_t_10006654=f_t_1580606914774__r_t_1581643181169__v_t_1581678949269__r_c_14; security_session_verify=a2efd6893c3ad08675db9b0f5c365ecf; oHAcoULcWCQb80T=4Ywh2qE8IiJP44ThdpW0fs7Yqi1Hwlh9RhJHrW2WVl536y4eCIgXxGh9M8IuYUqGUCCtBO5kBc2DB6Kewd3naLK_O2bK5W3w3pcqT.uX3asTXxC2SGBqy9eV2DoGB0ZXb4uTPzPGbXebmT6xIYxbAmGbm_kZVX_nUvBL4nkAuFAVvcGLBmXr8nsdEToXztqZUlYnTjn9niwHMcg3th7XhJvFS_tckqRq5bLpvS_IKPuYn2JLraIIejlErBhA5IQhyHXFekNynv5PYgpzu2PguGccrP3c_bcg1MFViQjKVhgs_B22Nv4NxdHdiIk9GdZDZBjQ', 'Host': 'www.nhc.gov.cn' } #一、全国和湖北的数据     all_data, hubei_data, sh_data = {}, {}, {} try:         all_data, hubei_data = get_all_today_news() print('全国数据：{}n' '湖北数据：{}'.format(all_data, hubei_data)) except: print('全国数据未更新') #二、上海的数据 try:         sh_data = get_sh_today_news() print('上海数据：{}'.format(sh_data)) except: print('上海数据未更新') #三、导出到excel里 if sh_data != {} and all_data != {}:         get_into_excel() print('Excel刷新成功！')