标题基于Hive大数据分析springboot为后端以及vue为前端的的民宿系
本文介绍了如何利用Hive进行大数据分析,并结合Spring Boot和Vue构建了一个民宿管理系统。该民民宿管理系统包含用户和管理员登陆注册的功能,发布下架酒店信息,模糊搜索,酒店详情信息展示,收藏以及对收藏的酒店进行排序可视化,管理员发布,添加用户的功能。
1. 数据采集
通过 Python 爬虫实现数据采集,并将采集到的数据存储到数据库中。这些数据将作为我们民宿系统的基础数据,在后续的处理和分析中发挥重要作用。我们首先使用 Python 爬虫从艺龙酒店获取民宿相关信息,包括房源信息、评论信息、价格信息等。以下是一个简单的示例代码,使用 BeautifulSoup 库进行网页解析,并通过 requests 库发送 HTTP 请求获取网页内容。
import json
import time
import requests
from request_data.sync_data2mysql import request_data2mysql
hotels_data =[]classYiLongList:def__init__(self,inDate,outDate,city):
self.inDate,self.outDate = inDate,outDate
self.city = city
self.session = requests.Session()defjxList(self,hotelList):for h in hotelList:
hotelName = h.get("hotelName")
starLevelDes = h.get("starLevelDes")
commentScore = h.get("commentScore")
price = h.get("price")
commentScoreDes = h.get("commentScoreDes")
commentMainTag = h.get("commentMainTag")
commentCount = h.get("commentCount")
hotelAddress = h.get("hotelAddress")
trafficInfo = h.get("trafficInfo")
areaName = h.get("areaName")
hotelTags = h.get("hotelTags")if hotelTags:
hotelTags ="|".join([i.get("tagName")for i in hotelTags])
themeList ="|".join(h.get("themeList"))
recallReason = h.get("recallReason")[0]
data ={
'hotelName': hotelName,'starLevelDes': starLevelDes,'commentCount': commentCount,'price': price,'commentScore': commentScore,'commentScoreDes': commentScoreDes,'areaName': areaName,'hotelTags': hotelTags,'themeList': themeList,'recallReason': recallReason,'commentMainTag': commentMainTag,'hotelAddress': hotelAddress,'trafficInfo': trafficInfo
}
hotels_data.append(data)print(hotelName,starLevelDes,commentCount,price,commentScore,commentScoreDes,\
areaName,hotelTags,themeList,recallReason,commentMainTag,hotelAddress,trafficInfo,)defgetList(self,page,traceToken):
url ="https://hotel.elong.com/tapi/v2/list"
headers ={
"Accept-Language":"zh-CN,zh;q=0.9,en;q=0.8,en-GB;q=0.7,en-US;q=0.6,zh-TW;q=0.5","Referer":"https://hotel.elong.com/hotel/hotellist?city=0101&inDate=2024-03-23&outDate=2022-03-24&filterList=8888_1&pageSize=20&t=1669994718934","User-Agent":"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/107.0.0.0 Safari/537.36 Edg/107.0.1418.62","accept":"application/json, text/plain, */*","deviceid":"c2a61f65-fa3e-4360-8ccd-4093f4f99f41","traceid":"4630a377-472b-4765-852f-959e2fa139cd"}if page ==0:
params ={
"city": self.city,"inDate": self.inDate,"outDate": self.outDate,"filterList":"8888_1","pageIndex":str(page),"pageSize":"20","sugActInfo":""}else:
params ={
"city"
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