新冠疫情实时数据获取 python

用到的工具 python （pycham）

         模块 

        import requests
        import time

目标网站  实时更新：新冠肺炎疫情最新动态 (qq.com)

打开网站  F12

通过打开开发者工具，找到指向数据的url（如图）

例子 （中国）

在headers拿到url

# 获取疫情数据
url = 'https://api.inews.qq.com/newsqa/v1/query/inner/publish/modules/list?modules=statisGradeCityDetail,diseaseh5Shelf'

在url里面有全部的疫情数据

直接获取就可以

全部代码

import requests
import time



# 获取疫情数据
url = 'https://api.inews.qq.com/newsqa/v1/query/inner/publish/modules/list?modules=statisGradeCityDetail,diseaseh5Shelf'
# agent 换成自己的 
headers = {
    "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/100.0.4896.127 Safari/537.36 Edg/100.0.1185.50"
}
data = requests.get(url, headers=headers)

# print(data.json())

# 寻找累计数据
china_data = data.json()['data']['diseaseh5Shelf']['areaTree'][0]['children']

# 存放数据
data_li = []

# 从url 中提取数据
for child in china_data:

    data_dict={}
    data_dict['地区名称'] = child['name']
    data_dict['统计时间'] = child['date']
    data_dict['新增确认'] = child['total']['nowConfirm']
    data_dict['死亡人数'] = child['total']['dead']
    data_dict['治愈人数'] = child['total']['heal']
    data_dict['累计确诊'] = child['total']['confirm']
    data_dict['本土确诊'] = child['total']['provinceLocalConfirm']
    data_dict['无症状'] = child['total']['wzz']
    # print(data_dict)
    data_li.append(data_dict)


# 保存文件
df = pd.DataFrame(data_li)
today = time.strftime('%Y年%m月%d日', time.localtime())
df.to_csv(today+'全国疫情累计数据.csv', mode="w", encoding="utf-8")