python爬取世界疫情数据

import time, json, requests
import csv

#文件名称
ExcelName = 'E:/hhh.csv'

#当前日期时间戳
number = format(time.time() * 100, '.0f')

url = 'https://view.inews.qq.com/g2/getOnsInfo?name=disease_h5&callback=&_=%s' % number
datas = json.loads(requests.get(url=url).json()['data'])

print('更新时间：' + datas['lastUpdateTime'])

#写入表头
with open(ExcelName, 'w', encoding='utf-8', newline='') as csvfile:
    writer = csv.writer(csvfile)
    writer.writerow(["country","confirm","die","cure","time"])



for contry in datas['areaTree']:
    #if contry['name'] == '中国':
        #for province in contry['children']:
            #print(province['name'])
            #with open(ExcelName, 'a', encoding='utf-8', newline='') as csvfile:
                #writer = csv.writer(csvfile)
                #writer.writerow([province['name']])
            #for city in province['children']:
                print(contry['name'], '确诊:' + str(contry['total']['confirm']), '死亡:' + str(contry['total']['dead']), '治愈:' + str(contry['total']['heal']))
                # 写入市的名称，确诊、死亡、治愈的人数
                with open(ExcelName, 'a', encoding='utf-8', newline='') as csvfile:
                    writer = csv.writer(csvfile)
                    writer.writerow([contry['name'], str(contry['total']['confirm']),str(contry['total']['dead']), str(contry['total']['heal']),datas['lastUpdateTime']])