计算机毕业设计Hadoop+Spark+Hive租房推荐系统 贝壳租房数据分析 租房爬虫 租房可视化 租房大数据 大数据毕业设计 大数据毕设 机器学习

毕业技术方向调查表

姓名：    李昌福    

核心算法代码分享如下：

from selenium import webdriver
 
from selenium.webdriver.common.by import By
from lxml import etree
import time
from selenium.webdriver.chrome.options import Options
import pymysql
import re
import json
 
#一线城市租房信息
#cities = ['bj','sh','gz','sz']
cities = ['sz']
options = Options()
driver = webdriver.Chrome(executable_path=r'chromedriver.exe', options=options)
 
def get_url_info(url):
    driver.get(url)
    #driver.set_page_load_timeout(60)
    time.sleep(40)
    driver.refresh()
    driver.minimize_window()
    zufang = driver.find_element(By.XPATH,'/html/body/div[3]/div[1]/div[1]/div/div[1]/div[1]/span[1]/a')
    zufang.click()
    #driver.close()
    driver.switch_to.window(driver.window_handles[-1])
    time.sleep(1)
    page_source = driver.page_source;
    hs = etree.HTML(page_source)
    nums = driver.find_element(By.XPATH, '//*[@id="pager_wrap"]/div[@class="pager"]/a[@class="next"]/preceding-sibling::a[1]/span').text
    if nums and len(nums)>0:
        end = int(nums)
    else:
        end = 20;
    for j in range(0,end+1):
        ep_logs = hs.xpath('//ul[@class="house-list"]/li/@ep-log')
        imgs = hs.xpath('//ul[@class="house-list"]/li[@ep-log]/div[@class="img-list"]/a/img/@src')
        urls = hs.xpath('//ul[@class="house-list"]/li[@ep-log]/div[@class="des"]/h2/a/@href')
        decs = hs.xpath('//ul[@class="house-list"]/li[@ep-log]/div[@class="des"]/h2/a/text()')
        prices = hs.xpath('//ul[@class="house-list"]/li[@ep-log]/div[@class="list-li-right"]/div[@class="money"]/b/text()')
        danweis = hs.xpath('//ul[@class="house-list"]/li[@ep-log]/div[@class="list-li-right"]/div[@class="money"]/b/following-sibling::text()')
        next = driver.find_element(By.XPATH,'//*[@id="pager_wrap"]/div[@class="pager"]/a[@class="next"]')
        length = len(ep_logs)
        for i in range(0,length):
            data = {}
            dec = decs[i].split('|')
            json_obj = json.loads(ep_logs[i])
            print( json_obj['houseid'] )
            #data['id'] = json_obj['houseid'] #房间ID
            #if not_exists(houseid=data['id']):
            if not_exists(houseid= json_obj['houseid'] ):
                data['pic'] = imgs[i] #房间图片链接
                data['url'] = urls[i] #房间URL链接
                data['house_title'] = dec[1].strip() #房间标题
                data['rent_way'] = dec[0].strip() #租房模式
                data['house_pay'] = ''.join([prices[i],danweis[i].strip()]) #价格
                time.sleep(3)
                driver.get(data['url']) #进入详情页
                ps_inner = driver.page_source
                hs_inner = etree.HTML(ps_inner)
                pay_way = hs_inner.xpath('//span[@class="instructions"]/text()')
                #pay_way = hs_inner.xpath('/html/body/div[3]/div[2]/div[2]/div[1]/div[1]/div/span[2]/text()')
                #type_str = hs_inner.xpath('/html/body/div[3]/div[2]/div[2]/div[1]/div[1]/ul/li[2]/span[2]/text()')
                type_str = hs_inner.xpath('//ul[@class="f14"]/li[2]/span[2]/text()')
                #floor_str = hs_inner.xpath('/html/body/div[3]/div[2]/div[2]/div[1]/div[1]/ul/li[3]/span[2]/text()')
                floor_str = hs_inner.xpath('//ul[@class="f14"]/li[3]/span[2]/text()')
                # estate = hs_inner.xpath('/html/body/div[3]/div[2]/div[2]/div[1]/div[1]/ul/li[4]/span[2]/a/text()')
                estate = hs_inner.xpath('//ul[@class="f14"]/li[4]/span[2]/a/text()')
               # areas = hs_inner.xpath('/html/body/div[3]/div[2]/div[2]/div[1]/div[1]/ul/li[5]/span[2]/a[1]/text()')
                areas = hs_inner.xpath('//ul[@class="f14"]/li[5]/span[2]/a/text()')
                addresses = hs_inner.xpath('//span[@class="dz"]/text()')
                #addresses = hs_inner.xpath('/html/body/div[3]/div[2]/div[2]/div[1]/div[1]/ul/li[6]/span[2]/text()')
                #times = hs_inner.xpath('/html/body/div[3]/div[1]/p/text()')
                times = hs_inner.xpath('//div[@class="house-title"]/p/text()')
                agents = hs_inner.xpath('//*[@id="vipAgent"]/div[1]/p[1]/a/text()')
                disposals = hs_inner.xpath('//ul[@class="house-disposal"]/li[not(@class="no-config")]/text()')
                spots = hs_inner.xpath('//ul[@class="introduce-item"]/li[1]/span[2]/em/text()')
                #descs = hs_inner.xpath('//ul[@class="introduce-item"]/li[2]/span[2]/em/text()')
                descs = hs_inner.xpath('//ul[@class="introduce-item"]//li[3]/span[2]/text()')
                print(descs)
                if pay_way and len(pay_way)>0:
                    data['house_pay_way'] = pay_way[0]
 
                if type_str and len(type_str)>0:
                    type_str = type_str[0]
                    types = type_str.split("\xa0\xa0")
                    if types and len(types)==3:
                        data['house_type'] = types[0]
                        data['house_area'] = types[1].split(' ')[0]+"平"
                        data['house_decora'] = types[2]
                    elif types and len(types)==2:
                        data['house_type'] = types[0]
                        data['house_area'] = types[1]
                    elif types and len(types)==1:
                        data['house_type'] = types[0]
 
                if floor_str and len(floor_str)>0:
                    floor_str = floor_str[0]
                    floors = floor_str.split("\xa0\xa0")
                    if floors and len(floors) == 2:
                        data['toward'] = floors[0]
                        f = floors[1].split('/')
                        if f and len(f) == 2:
                            data['floor'] = f[0]
                            data['floor_height'] = f[1]
                        elif f and len(f) == 1:
                            data['floor'] = re.findall('\d{1,2}',f[0])[0]+'层'
                    elif floors and len(floors) == 1:
                        data['toward'] = floors[0]
                if estate and len(estate)>0:
                    data['house_estate'] = estate[0].strip()
                if areas and len(areas)>0:
                    data['area'] = areas[0]
                if addresses and len(addresses)>0:
                    data['address'] = addresses[0].strip()
                if times and len(times)>0:
                    times = times[len(times)-1].strip()
                    data['time'] = times.split('\xa0')[0]
                    print("时间："+data['time'])
                if agents and len(agents)>0:
                    data['agent_name'] = agents[0].strip()
                if disposals and len(disposals)>0:
                    data['house_disposal'] = ' '.join(disposals).strip()
                if spots and len(spots)>0:
                    data['house_spot'] = ' '.join(spots)
                if descs and len(descs)>0:
                    data['house_desc'] = descs[0]
                print(data)
                to_mysql(data)
                driver.back()
                time.sleep(1)
        next.click()
 
def not_exists(houseid):
    """
        信息写入mysql
    """
    table = 'house_info'
    db = pymysql.connect(host='localhost', user='root', password='123456', port=3396, db='model')
    cursor = db.cursor()
    sql_search = "SELECT COUNT(1) FROM {table} where id = {id}".format(table=table,id=houseid)
    cursor.execute(sql_search)
    data_sql = cursor.fetchall()
    count = data_sql[0][0]
    if count > 0:
        print('exists')
        return False
    return True
 
def to_mysql(data):
    """
    信息写入mysql
    """
    table = 'house_info'
    keys = ', '.join(data.keys())
    values = ', '.join(['%s'] * len(data))
    db = pymysql.connect(host='localhost', user='root', password='123456', port=3396, db='model')
    cursor = db.cursor()
    sql = 'INSERT INTO {table}({keys}) VALUES ({values})'.format(table=table, keys=keys, values=values)
    try:
        datas = data.values()
        if cursor.execute(sql, tuple(datas)):
            print("Successful")
            db.commit()
    except:
        print('Failed')
        db.rollback()
        db.close()
 
 
if __name__ == '__main__':
    for i in cities:
        url = 'XXXXX'%i
        get_url_info(url)