selenium爬虫 | 爬取疫情实时动态

import csv
import selenium.webdriver
from selenium.webdriver.chrome.options import Options

class spider():
    def get_msg(self,url):
        global timeNum, provinceDic
        # 无窗口弹出操作
        options = Options()
        options.add_argument('--headless')
        options.add_argument('--disable-gpu')
        driver=selenium.webdriver.Chrome(options=options)
        driver.get(url)
        timeNum=driver.find_element_by_xpath('//*[@id="charts"]/div[2]/span[1]').text#实时
        icbar_confirm=driver.find_element_by_xpath('//*[@id="charts"]/div[3]/div[1]/div[1]').text#全国确诊数
        icbar_suspect=driver.find_element_by_xpath('//*[@id="charts"]/div[3]/div[2]/div[1]').text#疑似病例数
        icbar_cure=driver.find_element_by_xpath('//*[@id="charts"]/div[3]/div[3]/div[1]').text#治愈人数
        icbar_dead=driver.find_element_by_xpath('//*[@id="charts"]/div[3]/div[4]/div[1]').text#死亡人数
        print("{}\n全国确诊：{}\n疑似病例：{}\n治愈人数：{}\n死亡人数：{}\n".format(timeNum, icbar_confirm, icbar_cure, icbar_dead,icbar_suspect))
        place_current=driver.find_elements_by_css_selector('div[class="place  current"]')#湖北省的数据
        place = driver.find_elements_by_css_selector('div[class="place"]')#其他省的数据
        place_= driver.find_elements_by_css_selector('div[class="place  "]')#其他省的数据
        place_no_sharp = driver.find_elements_by_css_selector("div[class='place no-sharp ']")#自治区的数据
        tplt = "{0:{4}<10}\t{1:{4}<15}\t{2:{4}<15}\t{3:{4}<15}"
        print(tplt.format("地区","确诊人数","治愈人数","死亡人数",chr(12288)) + "\n")
        # 建立一个字典，键为省名，值为省的具体数据
        provinceDic=dict()
        provinceDic["全国"]=["全国",icbar_confirm, icbar_cure, icbar_dead, icbar_suspect]
        places = place_current + place + place_ + place_no_sharp  # 所有的行省的数据列表合集
        for place in places:
            # print(place.text)
            name=place.find_element_by_css_selector("span[class='infoName']").text
            confirm=place.find_element_by_css_selector("span[class='confirm'] span").text
            try:
                heal=place.find_element_by_css_selector("span[class='heal '] span").text
            except:
                heal = place.find_element_by_css_selector("span[class='heal hide'] span").text
            try:
                dead=place.find_element_by_css_selector("span[class='dead '] span").text
            except:
                dead=place.find_element_by_css_selector("span[class='dead hide'] span").text
            print(tplt.format(name,confirm,heal,dead,chr(12288)))
            provinceDic[name]=[name,confirm,heal,dead]
    def save_data_as_csv(self,filename,dataList):
        # filename="_".join(time.split(":"))
        filename=filename.replace(":"," ")#调整时间
        with open(filename+".csv","w",newline="") as f:
            writer=csv.writer(f)
            writer.writerow(["地区","确诊人数","治愈人数","死亡人数","疑似病例"])
            for i in dataList:
                writer.writerow(i)
            f.close()
    def main(self):
        url = "https://news.qq.com/zt2020/page/feiyan.htm"
        self.get_msg(url)
        self.save_data_as_csv(timeNum,provinceDic.values())

billie=spider()
billie.main()