利用python爬取肺炎疫情实时数据

1、网页分析

分析请求头

• name=disease_h5 是数据位置
• callback=jQuery341021795676971428168_1580642523637_=1580642523638返回当前时间戳的一个函数

2、数据准备

  导入模块：

import time 
import json
import requests
from datetime import datetime
import pandas as pd 
import numpy as np

抓取数据：

def catch_data():
    url = 'https://view.inews.qq.com/g2/getOnsInfo?name=disease_h5'
    reponse = requests.get(url=url).json()
    #返回数据字典
    data = json.loads(reponse['data'])
    return data

data = catch_data()
data.keys()

dict_keys(['chinaTotal', 'chinaAdd', 'lastUpdateTime', 'areaTree', 'chinaDayList', 'chinaDayAddList'])

数据处理：

# 数据集包括["国内总量","国内新增","更新时间","数据明细","每日数据","每日新增"]

lastUpdateTime = data['lastUpdateTime']
chinaTotal = data['chinaTotal']
chinaAdd = data['chinaAdd']
print(chinaTotal)
print(chinaAdd)

{'confirm': 17238, 'suspect': 21558, 'dead': 361, 'heal': 475}
{'confirm': 2858, 'suspect': 2014, 'dead': 57, 'heal': 147}