6月1日

爬取疫情数据

首先第一步，我们要打开这个网页看一眼，这个网页实际上是一堆json字符串，只有文字信息，所以我们先要导入第三方的requests工具和解析json字符串的json工具

import requests
import json

之后通过该工具访问页面获取到页面文本（对于这个页面来说就是json字符）

r = requests.get(url, headers)
res = json.loads(r.text)
data_all = json.loads(res["data"])

再根据获取到的信息构筑键值对

details = []

update_time = data_all["lastUpdateTime"]
data_country = data_all["areaTree"]
data_province = data_country[0]["children"]

for pro_infos in data_province:
    province = pro_infos["name"]
    # print(province)
    for city_infos in pro_infos["children"]:
        city = city_infos["name"]
        confirm = city_infos["total"]["confirm"]
        confirm_add = city_infos["today"]["confirm"]
        heal = city_infos["total"]["heal"]
        dead = city_infos["total"]["dead"]
        suspect = city_infos["total"]["suspect"]
        details.append([update_time, province, city, confirm, confirm_add, heal, dead, suspect])

接下来，导入数据库交互组件pyMySQL

import pymysql

建立连接与游标

conn = pymysql.connect(host="127.0.0.1", port=3306, user="root", password="260702266", database="virus", charset="utf8")
cursor = conn.cursor()

通过一个循环来遍历detail数组，用插入语句导入到数据库里

count = 0
while count < len(details):
    sql = "insert into newebd(time,province,city,nowConfirm,Confirm,heal,dead,suspect) values(%s,%s,%s,%s,%s,%s," 
          "%s,%s) "
    count = count+1
    try:
        cursor.executemany(sql, details)
        conn.commit()
    except:
        conn.rollback()

这样就完成了数据爬取到数据库