Real-time data acquisition of new crown epidemic python

The tool python (pycham) used

         module 

        import requests
        import time
        import pandas as pd

The target website   is updated in real time: the latest developments of the new crown pneumonia epidemic (qq.com)

open website F12

By opening the developer tool, find the url pointing to the data (as shown in the figure)

Example (China)

Get the url in the headers

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

There are all epidemic data in the url

Just get it directly

all codes

import requests
import time
import pandas as pd


# 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")