Python简单爬虫

爬取链家二手房源信息

import requestsimport refrom bs4 import BeautifulSoupimport csvurl = ['https://cq.lianjia.com/ershoufang/']for i in range(2,101):    url.append('https://cq.lianjia.com/ershoufang/pg%s/'%(str(i))) # 模拟谷歌浏览器headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/69.0.3497.100 Safari/537.36'}for u in url:    r = requests.get(u,headers=headers)    soup = BeautifulSoup(r.text,'lxml').find_all('li', class_='clear LOGCLICKDATA')    for i in  soup:        ns = i.select('div[class="positionInfo"]')[0].get_text()         region = ns.split('-')[1].replace(' ','').encode('gbk')        rem = ns.split('-')[0].replace(' ','').encode('gbk')        ns =  i.select('div[class="houseInfo"]')[0].get_text()        xiaoqu_name = ns.split('|')[0].replace(' ','').encode('gbk')        huxing = ns.split('|')[1].replace(' ','').encode('gbk')        pingfang = ns.split('|')[2].replace(' ','').encode('gbk')        chaoxiang = ns.split('|')[3].replace(' ','').encode('gbk')        zhuangxiu =  ns.split('|')[4].replace(' ','').encode('gbk')        danjia =  re.findall("\d+",i.select('div[class="unitPrice"]')[0].string)[0]        zongjia = i.select('div[class="totalPrice"]')[0].get_text().encode('gbk')        out=open("/data/data.csv",'a')        csv_write=csv.writer(out)        data = [region,xiaoqu_name,rem,huxing,pingfang,chaoxiang,zhuangxiu,danjia,zongjia]        csv_write.writerow(data)        out.close()

数据结果