15python成功爬取链家网济南历下区名士豪庭小区房价

   日期:2020-09-10     浏览:95    评论:0    
核心提示:import requestsfrom lxml import etreeimport timeimport randomimport csvclass LianjiaSpider(object): def __init__(self): self.url = https://jn.lianjia.com/ershoufang/pg{}rs名士豪庭/ self.headers = {User-Agent: Mozilla/5.0 (Wind.
import requests
from lxml import etree
import time
import random
import csv

class LianjiaSpider(object):
    def __init__(self):
        self.url = "https://jn.lianjia.com/ershoufang/pg{}rs名士豪庭/"


        self.headers = {"User-Agent": "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/535.1 (KHTML, like Gecko) Chrome/14.0.835.163 Safari/535.1"}

    def get_page(self,url):
        res = requests.get(url =url ,headers = self.headers)
        res.encoding ="utf-8"
        html = res.text
        #调用解析函数
        self.parse_page(html)

    def parse_page(self,html):
        parse_html = etree.HTML(html)
        house_dict = {}
        house_list = parse_html.xpath("//div//ul[@class='sellListContent']//li")
        for house in house_list:
            house_dict["name"] = house.xpath(".//div[@class='title']/a//text()")[0]
            house_dict["totalprice"] = house.xpath(".//div[@class='totalPrice']/span//text()")[0]
            house_dict["uniteprice"] = house.xpath(".//div[@class='unitPrice']/span//text()")[0]
            print(house_dict)
            with open('F:/top250/lianjia.csv', 'a', newline='', encoding='utf-8')as f:
                write = csv.writer(f)
                write.writerow([house_dict["name"],house_dict["totalprice"],house_dict["uniteprice"]])
            f.close()

    def main(self):
        try:
            for i in range(1,9):
                time.sleep(random.randint(3,5))
                url = self.url.format(i)
                self.get_page(url)
        except:
            self.main()

if __name__ == '__main__':
    start = time.time()
    spider = LianjiaSpider()
    spider.main()
    end = time.time()
    print("执行时间:%.2f" %(end-start))
 
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