第四阶段目标:
1.编程爬取每日最新的疫情统计数据。
2.并将爬取结果导入到数据库中。
3.将可视化结果与统计数据结合,实时显示当前最新数据。
运行结果:
通过python编程对数据进行爬取,再对web进行相应修改。
python代码:
from os import path import requests from bs4 import BeautifulSoup import json import pymysql import numpy as np 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 #print(response.content.decode('utf-8'))#以字节流形式打印网页源码 content = response.content.decode('utf-8') #print(content) soup = BeautifulSoup(content, 'html.parser') listA = soup.find_all(name='script',attrs={"id":"getAreaStat"}) #世界确诊 listB = soup.find_all(name='script',attrs={"id":"getListByCountryTypeService2"}) #listA = soup.find_all(name='div',attrs={"class":"c-touchable-feedback c-touchable-feedback-no-default"}) account = str(listA) world_messages = str(listB)[87:-21] messages = account[52:-21] messages_json = json.loads(messages) world_messages_json = json.loads(world_messages) valuesList = [] cityList = [] worldList = [] for k in range(len(world_messages_json)): worldvalue = (world_messages_json[k].get('id'),world_messages_json[k].get('createTime'),world_messages_json[k].get('modifyTime'),world_messages_json[k].get('tags'), 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) for i in range(len(messages_json)): #value = messages_json[i] value = (messages_json[i].get('provinceName'),messages_json[i].get('provinceShortName'),messages_json[i].get('currentConfirmedCount'),messages_json[i].get('confirmedCount'),messages_json[i].get('suspectedCount'),messages_json[i].get('curedCount'),messages_json[i].get('deadCount'),messages_json[i].get('comment'),messages_json[i].get('locationId'),messages_json[i].get('statisticsData'),"2020-03-14") valuesList.append(value) cityValue = messages_json[i].get('cities') #print(cityValue) for j in range(len(cityValue)): cityValueList = (cityValue[j].get('cityName'),cityValue[j].get('currentConfirmedCount'),cityValue[j].get('confirmedCount'),cityValue[j].get('suspectedCount'),cityValue[j].get('curedCount'),cityValue[j].get('deadCount'),cityValue[j].get('locationId'),messages_json[i].get('provinceShortName')) #print(cityValueList) cityList.append(cityValueList) #cityList.append(cityValue) db = pymysql.connect("localhost", "root", "root", "test", charset='utf8') cursor = db.cursor() array = np.asarray(valuesList[0]) sql_clean_world = "TRUNCATE TABLE world_map" sql_clean_city = "TRUNCATE TABLE city_map" sql_clean_json = "TRUNCATE TABLE province_data_from_json" sql_clean_province = "TRUNCATE TABLE province_map" sql1 = "INSERT INTO city_map values (%s,%s,%s,%s,%s,%s,%s,%s)" sql_world = "INSERT INTO world_map values (%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s)" #sql = "INSERT INTO province_map values (0,'%s','%s','%s','%s','%s','%s','%s','%s','%s','%s') " sql = "INSERT INTO province_map values (%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s) " #sql = "INSERT INTO province_map (provinceName,provinceShortName,correntConfirmedCount,confirmedCount,suspectedCount,curedCount,deadCount,comment,locationId,statisticsData) values (0,'%s','%s','%s','%s','%s','%s','%s','%s','%s','%s') " #sql = """INSERT INTO province_map (provinceName,provinceShortName,correntConfirmedCount,confirmedCount,suspectedCount,curedCount,deadCount,comment,locationId,statisticsData) values ('湖北省', '湖北', 43334, 64786, 0, 18889, 2563, '', 420000, 'https://file1.dxycdn.com/2020/0223/618/3398299751673487511-135.json')""" value_tuple = tuple(valuesList) cityTuple = tuple(cityList) worldTuple = tuple(worldList) print(cityTuple) print(tuple(value_tuple)) try: #cursor.execute(sql_clean_city) cursor.execute(sql_clean_province) #cursor.executemany(sql, value_tuple) #cursor.executemany(sql1,cityTuple) db.commit() except: print('执行失败,进入回调1') db.rollback() try: cursor.execute(sql_clean_city) #cursor.execute(sql_clean_province) #cursor.executemany(sql, value_tuple) #cursor.executemany(sql1,cityTuple) db.commit() except: print('执行失败,进入回调2') db.rollback() try: #cursor.execute(sql_clean_city) #cursor.execute(sql_clean_province) cursor.executemany(sql, value_tuple) #cursor.executemany(sql1,cityTuple) db.commit() except: print('执行失败,进入回调3') db.rollback() try: #cursor.execute(sql_clean_city) #cursor.execute(sql_clean_province) #cursor.executemany(sql, value_tuple) cursor.executemany(sql1,cityTuple) db.commit() except: print('执行失败,进入回调4') db.rollback() #print(messages_json) #print(account[52:-21]) # soupDiv = BeautifulSoup(listA,'html.parser') # listB = soupDiv.find_all(name='div',attrs={"class":"c-gap-bottom-zero c-line-clamp2"}) #for i in listA: #print(i) #listA[12] #print(listA) db.close()
PSP表格: