Python爬取腾讯疫情实时数据并存储到mysql数据库的示例代码

时间:2022-11-04 15:02:11

Python爬取腾讯疫情实时数据并存储到mysql数据库的示例代码

Python爬取腾讯疫情实时数据并存储到mysql数据库的示例代码

思路:

在腾讯疫情数据网站F12解析网站结构,使用Python爬取当日疫情数据和历史疫情数据,分别存储到details和history两个mysql表。

①此方法用于爬取每日详细疫情数据

import requests
import json
import time
def get_details():
  url = 'https://view.inews.qq.com/g2/getOnsInfo?name=disease_h5&callback=jQuery34102848205531413024_1584924641755&_=1584924641756'
  headers ={
      'user-agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.25 Safari/537.36 Core/1.70.3741.400 QQBrowser/10.5.3863.400'
    }
  res = requests.get(url,headers=headers)
    #输出全部信息
    # print(res.text)
  response_data = json.loads(res.text.replace('jQuery34102848205531413024_1584924641755(','')[:-1])
  #输出这个字典的键值 dict_keys(['ret', 'data'])ret是响应值,0代表请求成功,data里是我们需要的数据
#   print(response_data.keys())
  """上面已经转化过一次字典,然后获取里面的data,因为data是字符串,所以需要再次转化字典
    print(json.loads(reponse_data['data']).keys())
    结果:
    dict_keys(['lastUpdateTime', 'chinaTotal', 'chinaAdd', 'isShowAdd', 'showAddSwitch',
    'areaTree', 'chinaDayList', 'chinaDayAddList', 'dailyNewAddHistory', 'dailyHistory',
    'wuhanDayList', 'articleList'])
    lastUpdateTime是最新更新时间,chinaTotal是全国疫情总数,chinaAdd是全国新增数据,
    isShowAdd代表是否展示新增数据,showAddSwitch是显示哪些数据,areaTree中有全国疫情数据
  """
  areaTree_data = json.loads(response_data['data'])['areaTree']
  temp=json.loads(response_data['data'])
#   print(temp.keys())
#   print(areaTree_data[0].keys())
  """
  获取上一级字典里的areaTree
  然后查看里面中国键值
  print(areaTree_data[0].keys())
  dict_keys(['name', 'today', 'total', 'children'])
  name代表国家名称,today代表今日数据,total代表总数,children里有全国各地数据,我们需要获取全国各地数据,查看children数据
  print(areaTree_data[0]['children'])
  这里面是
  name是地区名称,today是今日数据,total是总数,children是市级数据,
  我们通过这个接口可以获取每个地区的总数据。我们遍历这个列表,取出name,这个是省级的数据,还需要获取市级数据,
  需要取出name,children(市级数据)下的name、total(历史总数)下的confirm、heal、dead,today(今日数据)下的confirm(增加数),
  这些就是我们需要的数据
  """
    # print(areaTree_data[0]['children'])
  #   for province_data in areaTree_data[0]['children']:
    #   print(province_data)

  ds= temp['lastUpdateTime']
  details=[]
  for pro_infos in areaTree_data[0]['children']:
    province_name = pro_infos['name'] # 省名
    for city_infos in pro_infos['children']:
      city_name = city_infos['name'] # 市名
      confirm = city_infos['total']['confirm']#历史总数
      confirm_add = city_infos['today']['confirm']#今日增加数
      heal = city_infos['total']['heal']#治愈
      dead = city_infos['total']['dead']#死亡
#       print(ds,province_name,city_name,confirm,confirm_add,heal,dead)
      details.append([ds,province_name,city_name,confirm,confirm_add,heal,dead])
  return details

单独测试方法:

# d=get_details()
 # print(d)

②此方法用于爬取历史详细数据

import requests
import json
import time
def get_history():
  url = 'https://view.inews.qq.com/g2/getOnsInfo?name=disease_other&callback=jQuery341026745307075030955_1584946267054&_=1584946267055'
  headers ={
    'user-agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.25 Safari/537.36 Core/1.70.3741.400 QQBrowser/10.5.3863.400'
  }
  res = requests.get(url,headers=headers)
#   print(res.text)
  response_data = json.loads(res.text.replace('jQuery341026745307075030955_1584946267054(','')[:-1])
#   print(response_data)
  data = json.loads(response_data['data'])
#   print(data.keys())
  chinaDayList = data['chinaDayList']#历史记录
  chinaDayAddList = data['chinaDayAddList']#历史新增记录
  history = {}
  for i in chinaDayList:
    ds = '2021.' + i['date']#时间
    tup = time.strptime(ds,'%Y.%m.%d')
    ds = time.strftime('%Y-%m-%d',tup)#改变时间格式,插入数据库
    confirm = i['confirm']
    suspect = i['suspect']
    heal = i['heal']
    dead = i['dead']
    history[ds] = {'confirm':confirm,'suspect':suspect,'heal':heal,'dead':dead}
  for i in chinaDayAddList:
    ds = '2021.' + i['date']#时间
    tup = time.strptime(ds,'%Y.%m.%d')
    ds = time.strftime('%Y-%m-%d',tup)#改变时间格式,插入数据库
    confirm_add = i['confirm']
    suspect_add = i['suspect']
    heal_add = i['heal']
    dead_add = i['dead']
    history[ds].update({'confirm_add':confirm_add,'suspect_add':suspect_add,'heal_add':heal_add,'dead_add':dead_add})
  return history

单独测试此方法:

# h=get_history()
 # print(h)

③此方法用于数据库的连接与关闭:

import time
import pymysql
import traceback
def get_conn():
  """
  :return: 连接,游标
  """
  # 创建连接
  conn = pymysql.connect(host="127.0.0.1",
          user="root",
          password="000429",
          db="mydb",
          charset="utf8")
  # 创建游标
  cursor = conn.cursor() # 执行完毕返回的结果集默认以元组显示
  return conn, cursor
def close_conn(conn, cursor):
  if cursor:
    cursor.close()
  if conn:
    conn.close()

④此方法用于更新并插入每日详细数据到数据库表:

def update_details():
  """
  更新 details 表
  :return:
  """
  cursor = None
  conn = None
  try:
    li = get_details()
    conn, cursor = get_conn()
    sql = "insert into details(update_time,province,city,confirm,confirm_add,heal,dead) values(%s,%s,%s,%s,%s,%s,%s)"
    sql_query = 'select %s=(select update_time from details order by id desc limit 1)' #对比当前最大时间戳
    cursor.execute(sql_query,li[0][0])
    if not cursor.fetchone()[0]:
      print(f"{time.asctime()}开始更新最新数据")
      for item in li:
        cursor.execute(sql, item)
      conn.commit() # 提交事务 update delete insert操作
      print(f"{time.asctime()}更新最新数据完毕")
    else:
      print(f"{time.asctime()}已是最新数据!")
  except:
    traceback.print_exc()
  finally:
    close_conn(conn, cursor)

单独测试能否插入数据到details表:

 update_details()

Python爬取腾讯疫情实时数据并存储到mysql数据库的示例代码

⑤此方法用于插入历史数据到history表

def insert_history():
  """
    插入历史数据
  :return:
  """
  cursor = None
  conn = None
  try:
    dic = get_history()
    print(f"{time.asctime()}开始插入历史数据")
    conn, cursor = get_conn()
    sql = "insert into history values(%s,%s,%s,%s,%s,%s,%s,%s,%s)"
    for k, v in dic.items():
      # item 格式 {'2021-01-13': {'confirm': 41, 'suspect': 0, 'heal': 0, 'dead': 1}
      cursor.execute(sql, [k, v.get("confirm"), v.get("confirm_add"), v.get("suspect"),
                 v.get("suspect_add"), v.get("heal"), v.get("heal_add"),
                 v.get("dead"), v.get("dead_add")])

    conn.commit() # 提交事务 update delete insert操作
    print(f"{time.asctime()}插入历史数据完毕")
  except:
    traceback.print_exc()
  finally:
    close_conn(conn, cursor)

单独测试能否插入数据到history表:

# insert_history()

⑥此方法用于根据时间来更新历史数据表的内容:

def update_history():
  """
  更新历史数据
  :return:
  """
  cursor = None
  conn = None
  try:
    dic = get_history()
    print(f"{time.asctime()}开始更新历史数据")
    conn, cursor = get_conn()
    sql = "insert into history values(%s,%s,%s,%s,%s,%s,%s,%s,%s)"
    sql_query = "select confirm from history where ds=%s"
    for k, v in dic.items():
      # item 格式 {'2020-01-13': {'confirm': 41, 'suspect': 0, 'heal': 0, 'dead': 1}
      if not cursor.execute(sql_query, k):
        cursor.execute(sql, [k, v.get("confirm"), v.get("confirm_add"), v.get("suspect"),
                   v.get("suspect_add"), v.get("heal"), v.get("heal_add"),
                   v.get("dead"), v.get("dead_add")])
    conn.commit() # 提交事务 update delete insert操作
    print(f"{time.asctime()}历史数据更新完毕")
  except:
    traceback.print_exc()
  finally:
    close_conn(conn, cursor)

单独测试更新历史数据表的方法:

# update_history()

最后是两个数据表的详细建立代码(也可以使用mysql可视化工具直接建立):

create table history(
  ds datetime not null comment '日期',
  confirm int(11) default null comment '累计确诊',
  confirm_add int(11) default null comment '当日新增确诊',
  suspect int(11) default null comment '剩余疑似',
  suspect_add int(11) default null comment '当日新增疑似',
  heal int(11) default null comment '累计治愈',
  heal_add int(11) default null comment '当日新增治愈',
  dead int(11) default null comment '累计死亡',
  dead_add int(11) default null comment '当日新增死亡',
  primary key(ds) using btree
)engine=InnoDB DEFAULT charset=utf8mb4;
create table details(
  id int(11) not null auto_increment,
  update_time datetime default null comment '数据最后更新时间',
  province varchar(50) default null comment '省',
  city varchar(50) default null comment '市',
  confirm int(11) default null comment '累计确诊',
  confirm_add int(11) default null comment '新增确诊',
  heal int(11) default null comment '累计治愈',
  dead int(11) default null comment '累计死亡',
  primary key(id)
)engine=InnoDB default charset=utf8mb4;

Tomorrowthe birds will singing.

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原文链接:https://www.cnblogs.com/rainbow-1/archive/2021/03/17/14550221.html