代码写的比较粗糙和不规范，请见谅。欢迎交流！
完整代码及说明，请参考 https://gitee.com/yeoman92/tujia_craw

说明

本站（途家网https://www.tujia.com）通过常规抓页面的方法不能获取数据，可以使用selenium + ChromeDriver来获取页面数据。

0 脚本执行顺序与说明

0.1 先执行craw_url.py，获得所有房子详情页的url
0.2 执行slice_url.py，把所有的url等份，便于后续作多线程爬取
0.3 执行craw.py，获取每个房子的具体数据

1 注意

1.1 本站的数据为动态加载，用到了selenium + ChromeDriver来获取页面数据
1.2 项目中附有chromedriver.exe，需要安装谷歌浏览器（如果运行不了，可能是浏览器和chromedriver.exe版本不对应，对应的浏览器版本为69）
1.3 注意driver模拟操作后，需要等待1-2s后才能获取到数据
1.4 本站有反爬，每一次页面操作设置睡眠6s即可
1.5 chrome_options.add_argument(“headless”) 设置为不打开浏览器界面

2 爬取内容

2.1 途家网https://www.tujia.com/unitlist?cityId=10
2.2 爬取字段及说明见截图

截图

代码

1 craw_url.py （获得所有房子详情页的url）

#! /usr/bin/env python
# -*- coding: utf-8 -*-
from selenium import webdriver
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_conditions as EC
import time
import os


# 启动driver
def init_driver(url):
    chrome_options = webdriver.ChromeOptions()
    chrome_options.add_argument("headless") # 不打开浏览器

    driver_path = "./bin/chromedriver.exe"
    driver = webdriver.Chrome(chrome_options=chrome_options, executable_path=driver_path)

    driver.get(url)
    # html = driver.page_source
    # print(html.encode("GBK",'ignore'))

    # time.sleep(3)
    return driver


# 如果文件存在，则删除
def del_file(file_path):
    if os.path.exists(file_path):
        os.remove(file_path)


# 获取页面url
def get_url(drive):
    # 设置等待
    wait = WebDriverWait(driver, 10)  
    # 关闭弹出的广告层
    wait.until(EC.presence_of_element_located((By.XPATH, '//*[@id="j-tjdc-close"]'))).click()
    # 获取总页数
    total_str = driver.find_elements_by_class_name('pageItem')[-1].get_attribute('page-data')
    total = int(total_str)
    # 点击下一页
    click_num = 0
    while click_num < total:
        driver.find_elements_by_class_name('pageItem')[-2].click()
        click_num += 1
        time.sleep(6)

        # 每一页的项数
        item = driver.find_elements_by_class_name('searchresult-cont')
        item_num = len(item)
        # 获取到该页面所有项的url
        for i in range(item_num):
            xpath = '//*[@id="unitList-container"]/div/div[' + str(i+1) + ']/div[2]/div[1]/h3/a'
            url = driver.find_element_by_xpath(xpath).get_attribute('href')
            print(str(i) + '\t' + url)
            # 把url写到本地
            with open('./data/url/url.txt', 'a', encoding='utf-8') as f:
                f.write(url + '\n')

    close_driver(driver)


def close_driver(driver):
    driver.quit()


if __name__ == '__main__':
    root_url = 'https://www.tujia.com/unitlist?startDate=2018-12-10&endDate=2018-12-11&cityId=10&ssr=off'
    driver = init_driver(root_url)
    del_file('./data/url/url.txt')
    get_url(driver)

2 slice_url.py（把所有的url等份，便于后续作多线程爬取）

#! /usr/bin/env python
# -*- coding: utf-8 -*-
import math


# url比较多，一次性爬取可能会出现问题，分多步爬取
def main(slice_num):
    # 读取所有的url
    with open('./data/url/url.txt', 'r') as f:
        urls = f.readlines()

    urls_num = len(urls)
    step = math.ceil(urls_num / slice_num)

    # 写url
    for i in range(slice_num):
        with open('./data/url/url_' + str(i+1) + '.txt', 'w', encoding='utf-8') as f:
            for j in range(step*i, step*(i+1)):
                try:
                    f.write(urls[j])
                except:
                    break

if __name__ == '__main__':
    # 分30等份
    main(30)

3 craw.py（获取每个房子的具体数据）

#! /usr/bin/env python
# -*- coding: utf-8 -*-
from selenium import webdriver
from selenium.webdriver.common.action_chains import ActionChains
import os
import time
import threading


# 启动driver
def init_driver(url, index):
    global threads
    threads['Thread_' + str(index)] += 1
    print('Thread_' + str(index) + '\t' + str(threads['Thread_' + str(index)]))

    chrome_options = webdriver.ChromeOptions()
    # chrome_options.add_argument("headless") # 不打开浏览器

    driver_path = "./bin/chromedriver.exe"
    driver = webdriver.Chrome(options=chrome_options, executable_path=driver_path)

    try:
        driver.get(url)
    except:
        pass
    # html = driver.page_source
    # print(html.encode("GBK",'ignore'))

    # time.sleep(2)
    return driver


def close_driver(driver):
    driver.quit()


# 如果文件存在，则删除
def del_file(file_path):
    if os.path.exists(file_path):
        os.remove(file_path)


# 读取本地的url
def read_url(file_path):
    with open(file_path, 'r') as f:
        urls = f.readlines()
    return urls


# 获取页面数据
def get_data(driver, file_path, index):
    try:
        # 店名，价格，房屋标签，支付标签，优势标签
        name = driver.find_element_by_xpath('//div[@class="house-name"]').text
        price = ''
        try:
            price = driver.find_element_by_xpath('//a[@class="present-price"]').text
        except:
            pass
        # 房屋面积
        area = ''
        try:
            house_type_element = driver.find_element_by_xpath('//*[@id="houseInfo"]/div/div/div[1]/div[3]/ul/li[2]')
            ActionChains(driver).move_to_element(house_type_element).perform()
            area = driver.find_element_by_xpath('//*[@id="houseInfo"]/div/div/div[1]/div[3]/ul/li[2]/div').text
        except:
            pass

        room_tag = ''
        try:
            room_tag = driver.find_element_by_xpath('//ul[@class="room-tag"]').text.replace('\n', ' ')
        except:
            pass
        pay_tag = ''
        try:
            pay_tag = driver.find_element_by_xpath('//ul[@class="pay-tag"]').text.replace('\n', ' ')
        except:
            pass
        advan_tag = ''
        try:
            advan_tag = driver.find_element_by_xpath('//div[@class="hotel-advan-tag"]').text.replace('\n', ' ')
        except:
            pass



        # 房屋守则
        house_rules = ''
        try:
            house_rules_all = driver.find_elements_by_xpath('//*[@id="unitcheckinneedtoknow"]/div[2]/div[2]/div[5]/ol/li')
            house_rules_dis = driver.find_elements_by_xpath('//*[@id="unitcheckinneedtoknow"]/div[2]/div[2]/div[5]/ol/li[@class="not"]')
            house_rules = ''
            for item in house_rules_all:
                house_rules += item.text + ' '
            for item in house_rules_dis:
                if item.text:
                    house_rules = house_rules.replace(item.text + ' ', '')
            # print(house_rules.encode('gbk', 'ignore').decode('gbk'))
        except:
            pass

        # 设施服务
        facility_service = ''
        # try:
            # 点击查看更多
        scrollTop = 800
        success = False
        while not success:
            try:
                js = "var q=document.documentElement.scrollTop=800"
                driver.execute_script(js)
                driver.find_element_by_xpath('//*[@id="facilityshowmore"]/a').click()
                success = True
            except:
                scrollTop += 100
            time.sleep(1)
        # 分类，内容
        try:
            category_item = driver.find_elements_by_xpath('//*[@id="listWrap"]/h5')
            # print(category_item)
            content_item = driver.find_elements_by_xpath('//*[@id="listWrap"]/ul')
            # print(content_item)
            for index, category_ in enumerate(category_item):
                category = category_.text
                content = content_item[index].text.replace('\n', ' ')
                if category:
                    facility_service += category + '（'
                    facility_service += content + '）  '
        except:
            pass

        try:
            facility_dis = driver.find_elements_by_xpath('//*[@id="listWrap"]//li[@class="i-not"]')
            for item in facility_dis:
                # print(item)
                if item.text:
                    facility_service = facility_service.replace(item.text + ' ', '')
                # print(item.text.encode('gbk', 'ignore').decode('gbk'),end=' ')
            # print(facility_service.encode('gbk', 'ignore').decode('gbk'))
        except:
            pass

        # 房东信息
        # 房东类型
        landlord_type = ''
        try:
            landlord_type = driver.find_element_by_xpath('//*[@id="landlordInfo"]/div/div[2]/div/h2/span').text
        except:
            pass
        # 房东认证
        landlord_authentication = ''
        try:
            landlord_authentication = driver.find_element_by_xpath('//*[@id="landlordInfo"]/div/div[2]/div/div[2]').text
        except:
            pass
        # 其他房屋数
        landlord_other_house_num = ''
        try:
            landlord_other_house_num = driver.find_element_by_xpath('//div[@class="landlord-other-house"]/h2/span').text
        except:
            pass
        # print(landlord_type)
        # print(landlord_authentication)
        # print(landlord_other_house_num)

        # # 评价
        # # 综合评分，单项评分，评论数，带照片评论数
        overall_score = ''
        single_score = ''
        comment_sum = ''
        comment_photo_sum = ''
        try:
            overall_score = driver.find_element_by_xpath('//*[@id="overallScore"]').text
            single_score = driver.find_element_by_xpath('//*[@id="comment-summary"]/div[2]/div[1]/div[2]').text.replace('分', '')
            comment_sum = driver.find_element_by_xpath('//*[@id="comment_filter"]/li[1]/span').text.replace('(', '').replace(')', '')
            comment_photo_sum = driver.find_element_by_xpath('//*[@id="comment_filter"]/li[2]/span').text.replace('(', '').replace(')', '')
        except:
            pass

        # print('Thread_' + str(index) + '\t' + str(threads['Thread_' + str(index)]), end='\t')
        # print('\tThread_' + str(index))
        # # 先用 GBK 编码，加个 ignore 丢弃错误的字符，然后再解码
        print('\t----店名----\t' + name.encode('gbk', 'ignore').decode('gbk'))
        # print('\t----价格----\t' + price.encode('gbk', 'ignore').decode('gbk'))
        print('\t--建筑面积--\t' + area.encode('gbk', 'ignore').decode('gbk'))
        # print('\t----房屋----\t' + room_tag.encode('gbk', 'ignore').decode('gbk'))
        # print('\t----支付----\t' + pay_tag.encode('gbk', 'ignore').decode('gbk'))
        # print('\t----优势----\t' + advan_tag.encode('gbk', 'ignore').decode('gbk'))
        # print('\t--设施服务--\t' + facility_service.encode('gbk', 'ignore').decode('gbk'))
        # print('\t--房屋守则--\t' + house_rules.encode('gbk', 'ignore').decode('gbk'))
        # print('\t--房东类型--\t' + landlord_type.encode('gbk', 'ignore').decode('gbk'))
        # print('\t--房东认证--\t' + landlord_authentication.encode('gbk', 'ignore').decode('gbk'))
        # print('\t--其他房数--\t' + landlord_other_house_num.encode('gbk', 'ignore').decode('gbk'))
        # print('\t--综合评分--\t' + overall_score.encode('gbk', 'ignore').decode('gbk'))
        # print('\t--单项评分--\t' + single_score.encode('gbk', 'ignore').decode('gbk'))
        # print('\t---评论数---\t' + comment_sum.encode('gbk', 'ignore').decode('gbk'))
        # print('\t--照评论数--\t' + comment_photo_sum.encode('gbk', 'ignore').decode('gbk'))


        # 写入数据到本地
        with open(file_path, 'a', encoding='utf-8') as f:
            f.write('--------------------------------------------------------------\n')
            f.write('\t----店名----\t' + name.encode('gbk', 'ignore').decode('gbk') + '\n')
            f.write('\t----价格----\t' + price.encode('gbk', 'ignore').decode('gbk') + '\n')
            f.write('\t--建筑面积--\t' + area.encode('gbk', 'ignore').decode('gbk') + '\n')
            f.write('\t----房屋----\t' + room_tag.encode('gbk', 'ignore').decode('gbk') + '\n')
            f.write('\t----支付----\t' + pay_tag.encode('gbk', 'ignore').decode('gbk') + '\n')
            f.write('\t----优势----\t' + advan_tag.encode('gbk', 'ignore').decode('gbk') + '\n')
            f.write('\t--设施服务--\t' + facility_service.encode('gbk', 'ignore').decode('gbk') + '\n')
            f.write('\t--房屋守则--\t' + house_rules.encode('gbk', 'ignore').decode('gbk') + '\n')
            f.write('\t--房东类型--\t' + landlord_type.encode('gbk', 'ignore').decode('gbk') + '\n')
            f.write('\t--房东认证--\t' + landlord_authentication.encode('gbk', 'ignore').decode('gbk') + '\n')
            f.write('\t--其他房数--\t' + landlord_other_house_num.encode('gbk', 'ignore').decode('gbk') + '\n')
            f.write('\t--综合评分--\t' + overall_score.encode('gbk', 'ignore').decode('gbk') + '\n')
            f.write('\t--单项评分--\t' + single_score.encode('gbk', 'ignore').decode('gbk') + '\n')
            f.write('\t---评论数---\t' + comment_sum.encode('gbk', 'ignore').decode('gbk') + '\n')
            f.write('\t--照评论数--\t' + comment_photo_sum.encode('gbk', 'ignore').decode('gbk') + '\n')

        # 获取当前页评论
        get_data_comment(driver, file_path)

        # 评论内容
        # 评论总页数
        comment_page_num = 1
        try:
            comment_page_num_str = driver.find_elements_by_xpath('//*[@id="comment_list"]/li[1]/div[2]/ul/li')[-1].get_attribute('page-data')
            comment_page_num = int(comment_page_num_str)
        except:
            pass
        # 点击下一页
        if comment_page_num > 1:
            click_num = 0
            while click_num < comment_page_num:
                # 当前页最后一项评论的时间
                try:
                    last_item = driver.find_element_by_xpath('//*[@id="comment_list"]/li[1]/div[1]/ul/li[last()]/div[2]/div[1]/div/span[2]').text
                    date = last_item.replace('-', '')[:6]
                    # 日期大于2017年9月的
                    if int(date) < 201709:
                        break
                except:
                    pass
                # print(date.encode('gbk', 'ignore').decode('gbk'))
                # 滑动到底部
                js = "var q=document.documentElement.scrollTop=10000"
                driver.execute_script(js)
                time.sleep(2)
                try:
                    driver.find_elements_by_xpath('//*[@id="comment_list"]/li[1]/div[2]/ul/li')[-2].click()
                except:
                    break
                '//*[@id="comment_list"]/li[1]/div[2]/ul/li[7]'
                click_num += 1
                time.sleep(4)
                # 获取当前页评论
                get_data_comment(driver, file_path)

        close_driver(driver)
    except:
        print('error')
        close_driver(driver)


# 获取评论模块数据
def get_data_comment(driver, file_path):
    try:
        # 当前页评论数
        comment_curr_page = driver.find_elements_by_xpath('//*[@id="comment_list"]/li[1]/div[1]/ul/li')
        comment_curr_page_num = len(comment_curr_page)
        for index in range(comment_curr_page_num):
            xpath_head = '//*[@id="comment_list"]/li[1]/div[1]/ul/li[' + str(index + 1) + ']'
            # 评论人
            comment_person = driver.find_element_by_xpath(xpath_head + '/div[2]/div[1]/div/span[1]').text
            # 评论时间
            comment_time = driver.find_element_by_xpath(xpath_head + '/div[2]/div[1]/div/span[2]').text.replace('点评', '')
            # 评论内容
            comment_content = driver.find_element_by_xpath(xpath_head + '/div[2]/div[2]').text

            # 是否回复
            comment_replay = ''
            try:
                comment_replay = driver.find_element_by_xpath(xpath_head + '/div[2]/div[4]/div[1]/div[2]/p').text.replace(
                    '：', '')
            except:
                pass
            # print('\t---------------------评论---------------------')
            # print('\t\t---评论人---\t' + comment_person.encode('gbk', 'ignore').decode('gbk'))
            # print('\t\t---评论时间---\t' + comment_time.encode('gbk', 'ignore').decode('gbk'))
            # print('\t\t---评论内容---\t' + comment_content.encode('gbk', 'ignore').decode('gbk'))
            # print('\t\t---是否回复---\t' + comment_replay.encode('gbk', 'ignore').decode('gbk'))

            # 写入评论数据到本地
            with open(file_path, 'a', encoding='utf-8') as f:
                f.write('\t---------------------评论---------------------\n')
                f.write('\t\t---评论人---\t' + comment_person.encode('gbk', 'ignore').decode('gbk') + '\n')
                f.write('\t\t--评论时间--\t' + comment_time.encode('gbk', 'ignore').decode('gbk') + '\n')
                f.write('\t\t--评论内容--\t' + comment_content.encode('gbk', 'ignore').decode('gbk') + '\n')
                f.write('\t\t--是否回复--\t' + comment_replay.encode('gbk', 'ignore').decode('gbk') + '\n')
    except:
        pass


def main(index):
    urls = read_url('./data/url/url_' + str(index) + '.txt')
    del_file('./data/house/data_' + str(index) + '.txt')
    for url in urls:
        driver = init_driver(url, index)
        get_data(driver, './data/house/data_' + str(index) + '.txt', index)


if __name__ == '__main__':
    # 每次运行使用10个线程来爬取
    global threads
    threads = {}
       # 上文craw_url中共切分成30份,这里我份三次运行，我的电脑只能开10个线程。（1-11，11-21，21-31）
    for index in range(1, 11):
        threads['Thread_' + str(index)] = 0
        thread = threading.Thread(target=main, args=(index,))
        thread.start()