目标网站：https://news.163.com/special/epidemic/
任务：爬取当日各地疫情基本状况
适合人群：了解基本python代码，小项目实训

代码如下

先引入爬虫利器requests 和 数据处理小能手pandas

import requests
import pandas as pd

下面函数是获取json数据

def get_page(url):
    headers={'User-Agent':'XXXXXXX'}
    r=requests.get(url, headers=headers)
    r.encoding = r.apparent_encoding
    a=r.json()
    return a

下面就需要稍微分析一下网页源码了 ，毕竟是提取有效信息嘛

def parse_page(html):
    all=[]
    china = html['data']['areaTree'][0]['children']
    for i in range(len(china)):
        provinceName=china[i]['name']
        for j in range(len(china[i]['children'])):
            cityName = china[i]['children'][j]['name']
            confirm = china[i]['children'][j]['today']['confirm']
            dead = china[i]['children'][j]['today']['dead']
            heal = china[i]['children'][j]['today']['heal']
            suspect = china[i]['children'][j]['today']['suspect']
            lastUpdateTime = china[i]['children'][j]['lastUpdateTime']
            a = {'province':provinceName,'city':cityName,
                     'confirm':confirm,'dead':dead,'heal':heal,
                    'suspect':suspect,'lastUpdateTime':lastUpdateTime}
            all.append(a)
    return all

下面是将有效数据保存到文件中

def save_file(all):
    df = pd.DataFrame(all)
    order=['province','city','confirm','dead','heal','suspect','lastUpdateTime']
    df = df[order]
    df.to_csv('pachong.csv',index=True,header=True)

上面都是函数 下面就是执行啦

url = "https://c.m.163.com/ug/api/wuhan/app/data/list-total?t=316639086783"
dataJson = get_page(url)
allData = parse_page(dataJson)
save_file(allData)

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