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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 timeimport requestsfrom request_data.sync_data2mysql import request_data2mysqlhotels_data = []class YiLongList:def __init__(self,inDate,outDate,city):self.inDate,self.outDate = inDate,outDateself.city = cityself.session = requests.Session()def jxList(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,)def getList(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"