Python爬取世界疫情的实时数据

一、Python爬取世界疫情的实时数据

1、表结构（MySQL）

 2、代码部分

import json

import pymysql
import requests
from bs4 import BeautifulSoup
import datetime

url = 'https://ncov.dxy.cn/ncovh5/view/pneumonia?from=timeline&isappinstalled=0'  # 请求地址
headers = {
    'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/74.0.3729.131 Safari/537.36'}  # 创建头部信息
response = requests.get(url, headers=headers)  # 发送网络请求
content = response.content.decode('utf-8')
soup = BeautifulSoup(content, 'html.parser')

# 世界确诊getAreaStat
listB = soup.find_all(name='script', attrs={"id": "getListByCountryTypeService2true"})

world_messages = str(listB)[95:-21]

print(world_messages)
world_messages_json = json.loads(world_messages)
worldList = []
now_time = datetime.datetime.now().strftime('%Y-%m-%d')

for k in range(len(world_messages_json)):
    worldvalue = (now_time,
                  world_messages_json[k].get('countryType'), world_messages_json[k].get('continents'),
                  world_messages_json[k].get('provinceId'), world_messages_json[k].get('provinceName'),
                  world_messages_json[k].get('provinceShortName'), world_messages_json[k].get('cityName'),
                  world_messages_json[k].get('currentConfirmedCount'), world_messages_json[k].get('confirmedCount'),
                  world_messages_json[k].get('suspectedCount'), world_messages_json[k].get('curedCount'),
                  world_messages_json[k].get('deadCount'), world_messages_json[k].get('locationId'),
                  world_messages_json[k].get('countryShortCode'),)
    worldList.append(worldvalue)

db = pymysql.connect("localhost", "root", "123456", "yiqing", charset='utf8')
cursor = db.cursor()

sql_world = "INSERT INTO world_map values (%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s)"

worldTuple = tuple(worldList)
print(worldTuple)

try:
    cursor.executemany(sql_world, worldTuple)
    db.commit()
except:
    print('执行失败，进入回调2')
    db.rollback()

db.close()

world