爬取链接：https://wf.zu.anjuke.com/?from=navigation

首先我们先打开浏览器，输入网址，利用network进行抓包，找到type ducument响应源码文件

我们发现我们要爬取的数据在html源码中，那么我们就方便了，使用requests和lxml配合使用爬取租房信息，采用面向对象进行开发，方便代码修改，然后我们编写代码！！！

# -- coding: utf-8 --
# @Time : 2020/12/28 15:40
# @FileName: Anjuke.py
# @Software: PyCharm


import requests
from lxml import etree
import csv
from pymongo import MongoClient


class Anjuke(object):
    def __init__(self):
        self.url = 'https://wf.zu.anjuke.com/?from=navigation'
        self.headers = {
            'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) '
                          'Chrome/87.0.4280.88 Safari/537.36 ',
            'referer': 'https://weifang.anjuke.com/'
        }
        self.client = MongoClient("127.0.0.1", 27017)
        self.db = self.client['Anjuke']
        self.col = self.db['House']

    def get_data(self):
        proxies_url = 'http://webapi.http.zhimacangku.com/getip?num=20&type=2&pro=&city=0&yys=0&port=1&pack=131877&ts' \
                      '=0&ys=0&cs=0&lb=1&sb=0&pb=4&mr=1&regions= '
        res = requests.get(proxies_url)
        dict_data = json.loads(res.content)
        for agent in dict_data["data"]:
            ip = agent['ip']
            port = agent['port']
            # 代理服务器
            proxyHost = ip
            proxyPort = port

            proxyMeta = "http://%(host)s:%(port)s" % {

                "host": proxyHost,
                "port": proxyPort,
            }

            self.proxies = {

                "http": proxyMeta
            }
        response = requests.get(url=self.url, proxies=self.proxies)
        return response

    def parse_data(self, response):
        html = etree.HTML(response.content)
        node_list = html.xpath('//div[@class="zu-itemmod"]')
        data_list = list()
        for node in node_list:
            temp = {}
            temp["标题"] = node.xpath("./div[1]/h3/a/b/text()")[0]
            temp["链接"] = node.xpath("./div[1]/h3/a/@href")[0]
            temp["价格"] = node.xpath("./div[2]/p/strong/b/text()")[0] + '元'
            temp["大小"] = node.xpath("./div[1]/p[1]/b[3]/text()")[0] + '平米'
            shi = node.xpath("./div[1]/p[1]/b[1]/text()")[0]
            ting = node.xpath("./div[1]/p[1]/b[2]/text()")[0]
            temp["户型"] = shi + '室' + ting + '厅'
            temp["姓名"] = node.xpath("./div[1]/p[1]/text()[6]")[0].strip()
            temp["小区"] = node.xpath("./div[1]/address/a/text()")[0]
            temp["地址"] = node.xpath("./div[1]/address/text()")[1].strip()
            temp["整租"] = node.xpath("./div[1]/p[2]/span[1]/text()")[0]
            temp["方向"] = node.xpath("./div[1]/p[2]/span[2]/text()")[0]
            detail_link = temp["链接"]
            self.url = detail_link
            print(self.url)
            response = requests.get(url=self.url, headers=self.headers)
            html = etree.HTML(response.content)
            try:
                temp["要求"] = html.xpath('/html/body/div[3]/div[2]/div[1]/ul[1]/li[1]/span[2]/text()')[0]
            except:
                temp["要求"] = "空"
            try:
                temp["描述"] = html.xpath('/html/body/div[3]/div[2]/div[1]/div[6]/b/text()')[0]
            except:
                temp["描述"] = "空"
            try:
                temp["图片"] = html.xpath('//*[@id="room_pic_wrap"]/div/img/@data-src')[0]
            except:
                temp["图片"] = "空"
            try:
                temp["日期"] = html.xpath('/html/body/div[3]/div[2]/div[1]/div[2]/div/b/text()')[0]
            except:
                temp["日期"] = "空"
            print(temp)
            data_list.append(temp)
        return data_list

    def save_data(self, data_list):
        for data in data_list:
            csv_writer.writerow(
                [data["标题"], data["链接"], data["价格"], data["大小"], data["户型"], data["姓名"], data["小区"], data["地址"],
                 data["整租"], data["方向"], data["要求"], data["描述"], data["图片"], data["日期"]])
            self.col.insert_one(data)
        self.client.close()

    def run(self):
        while True:
            response = self.get_data()
            data_list = self.parse_data(response)
            self.save_data(data_list)
            html = etree.HTML(response.content)
            try:
                next_url = html.xpath('//*[contains(text(),"下一页")]/@href')[0]
                print(next_url)
                self.url = next_url
            except:
                break


if __name__ == '__main__':
    head = ["标题", "链接", "价格", "大小", "户型", "姓名", "小区", "地址", "整租", "方向", "要求", "描述", "图片", "日期"]
    with open('安居客.csv', 'w', newline='', encoding="gb18030") as f:
        csv_writer = csv.writer(f)
        csv_writer.writerow(head)
        anjuke = Anjuke()
        anjuke.run()

将数据存储到csv中，并存储到mongodb数据库，并且实现了翻页功能，其中还添加了代理，因为在打开详情页时访问频繁被屏蔽403，利用代理ip进行爬取！

我爬取的是潍坊，如果想爬其他的地方，wf换成你想爬的城市的缩写就行

希望大家多多给我点赞呀！