您现在的位置是：网站首页> 编程资料编程资料
Python爬取城市租房信息实战分享_python_
2023-05-26
543人已围观
简介 Python爬取城市租房信息实战分享_python_
思路：先单线程爬虫，测试可以成功爬取之后再优化为多线程，最后存入数据库
以爬取郑州市租房信息为例
注意：本实战项目仅以学习为目的，为避免给网站造成太大压力，请将代码中的num修改成较小的数字，并将线程改小
一、单线程爬虫
# 用session取代requests # 解析库使用bs4 # 并发库使用concurrent import requests # from lxml import etree # 使用xpath解析 from bs4 import BeautifulSoup from urllib import parse import re import time headers = { 'referer': 'https://zz.zu.fang.com/', 'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/86.0.4240.198 Safari/537.36', 'cookie': 'global_cookie=ffzvt3kztwck05jm6twso2wjw18kl67hqft; city=zz; integratecover=1; __utma=147393320.427795962.1613371106.1613371106.1613371106.1; __utmc=147393320; __utmz=147393320.1613371106.1.1.utmcsr=zz.fang.com|utmccn=(referral)|utmcmd=referral|utmcct=/; __utmt_t0=1; __utmt_t1=1; __utmt_t2=1; ASP.NET_SessionId=aamzdnhzct4i5mx3ak4cyoyp; Rent_StatLog=23d82b94-13d6-4601-9019-ce0225c092f6; Captcha=61584F355169576F3355317957376E4F6F7552365351342B7574693561766E63785A70522F56557370586E3376585853346651565256574F37694B7074576B2B34536C5747715856516A4D3D; g_sourcepage=zf_fy%5Elb_pc; unique_cookie=U_ffzvt3kztwck05jm6twso2wjw18kl67hqft*6; __utmb=147393320.12.10.1613371106' } data={ 'agentbid':'' } session = requests.session() session.headers = headers # 获取页面 def getHtml(url): try: re = session.get(url) re.encoding = re.apparent_encoding return re.text except: print(re.status_code) # 获取页面总数量 def getNum(text): soup = BeautifulSoup(text, 'lxml') txt = soup.select('.fanye .txt')[0].text # 取出“共**页”中间的数字 num = re.search(r'\d+', txt).group(0) return num # 获取详细链接 def getLink(tex): soup=BeautifulSoup(text,'lxml') links=soup.select('.title a') for link in links: href=parse.urljoin('https://zz.zu.fang.com/',link['href']) hrefs.append(href) # 解析页面 def parsePage(url): res=session.get(url) if res.status_code==200: res.encoding=res.apparent_encoding soup=BeautifulSoup(res.text,'lxml') try: title=soup.select('div .title')[0].text.strip().replace(' ','') price=soup.select('div .trl-item')[0].text.strip() block=soup.select('.rcont #agantzfxq_C02_08')[0].text.strip() building=soup.select('.rcont #agantzfxq_C02_07')[0].text.strip() try: address=soup.select('.trl-item2 .rcont')[2].text.strip() except: address=soup.select('.trl-item2 .rcont')[1].text.strip() detail1=soup.select('.clearfix')[4].text.strip().replace('\n\n\n',',').replace('\n','') detail2=soup.select('.clearfix')[5].text.strip().replace('\n\n\n',',').replace('\n','') detail=detail1+detail2 name=soup.select('.zf_jjname')[0].text.strip() buserid=re.search('buserid: \'(\d+)\'',res.text).group(1) phone=getPhone(buserid) print(title,price,block,building,address,detail,name,phone) house = (title, price, block, building, address, detail, name, phone) info.append(house) except: pass else: print(re.status_code,re.text) # 获取代理人号码 def getPhone(buserid): url='https://zz.zu.fang.com/RentDetails/Ajax/GetAgentVirtualMobile.aspx' data['agentbid']=buserid res=session.post(url,data=data) if res.status_code==200: return res.text else: print(res.status_code) return if __name__ == '__main__': start_time=time.time() hrefs=[] info=[] init_url = 'https://zz.zu.fang.com/house/' num=getNum(getHtml(init_url)) for i in range(0,num): url = f'https://zz.zu.fang.com/house/i3{i+1}/' text=getHtml(url) getLink(text) print(hrefs) for href in hrefs: parsePage(href) print("共获取%d条数据"%len(info)) print("共耗时{}".format(time.time()-start_time)) session.close()二、优化为多线程爬虫
# 用session取代requests # 解析库使用bs4 # 并发库使用concurrent import requests # from lxml import etree # 使用xpath解析 from bs4 import BeautifulSoup from concurrent.futures import ThreadPoolExecutor from urllib import parse import re import time headers = { 'referer': 'https://zz.zu.fang.com/', 'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/86.0.4240.198 Safari/537.36', 'cookie': 'global_cookie=ffzvt3kztwck05jm6twso2wjw18kl67hqft; integratecover=1; city=zz; keyWord_recenthousezz=%5b%7b%22name%22%3a%22%e6%96%b0%e5%af%86%22%2c%22detailName%22%3a%22%22%2c%22url%22%3a%22%2fhouse-a014868%2f%22%2c%22sort%22%3a1%7d%2c%7b%22name%22%3a%22%e4%ba%8c%e4%b8%83%22%2c%22detailName%22%3a%22%22%2c%22url%22%3a%22%2fhouse-a014864%2f%22%2c%22sort%22%3a1%7d%2c%7b%22name%22%3a%22%e9%83%91%e4%b8%9c%e6%96%b0%e5%8c%ba%22%2c%22detailName%22%3a%22%22%2c%22url%22%3a%22%2fhouse-a0842%2f%22%2c%22sort%22%3a1%7d%5d; __utma=147393320.427795962.1613371106.1613558547.1613575774.5; __utmc=147393320; __utmz=147393320.1613575774.5.4.utmcsr=zz.fang.com|utmccn=(referral)|utmcmd=referral|utmcct=/; ASP.NET_SessionId=vhrhxr1tdatcc1xyoxwybuwv; g_sourcepage=zf_fy%5Elb_pc; Captcha=4937566532507336644D6557347143746B5A6A6B4A7A48445A422F2F6A51746C67516F31357446573052634562725162316152533247514250736F72775566574A2B33514357304B6976343D; __utmt_t0=1; __utmt_t1=1; __utmt_t2=1; __utmb=147393320.9.10.1613575774; unique_cookie=U_0l0d1ilf1t0ci2rozai9qi24k1pkl9lcmrs*4' } data={ 'agentbid':'' } session = requests.session() session.headers = headers # 获取页面 def getHtml(url): res = session.get(url) if res.status_code==200: res.encoding = res.apparent_encoding return res.text else: print(res.status_code) # 获取页面总数量 def getNum(text): soup = BeautifulSoup(text, 'lxml') txt = soup.select('.fanye .txt')[0].text # 取出“共**页”中间的数字 num = re.search(r'\d+', txt).group(0) return num # 获取详细链接 def getLink(url): text=getHtml(url) soup=BeautifulSoup(text,'lxml') links=soup.select('.title a') for link in links: href=parse.urljoin('https://zz.zu.fang.com/',link['href']) hrefs.append(href) # 解析页面 def parsePage(url): res=session.get(url) if res.status_code==200: res.encoding=res.apparent_encoding soup=BeautifulSoup(res.text,'lxml') try: title=soup.select('div .title')[0].text.strip().replace(' ','') price=soup.select('div .trl-item')[0].text.strip() block=soup.select('.rcont #agantzfxq_C02_08')[0].text.strip() building=soup.select('.rcont #agantzfxq_C02_07')[0].text.strip() try: address=soup.select('.trl-item2 .rcont')[2].text.strip() except: address=soup.select('.trl-item2 .rcont')[1].text.strip() detail1=soup.select('.clearfix')[4].text.strip().replace('\n\n\n',',').replace('\n','') detail2=soup.select('.clearfix')[5].text.strip().replace('\n\n\n',',').replace('\n','') detail=detail1+detail2 name=soup.select('.zf_jjname')[0].text.strip() buserid=re.search('buserid: \'(\d+)\'',res.text).group(1) phone=getPhone(buserid) print(title,price,block,building,address,detail,name,phone) house = (title, price, block, building, address, detail, name, phone) info.append(house) except: pass else: print(re.status_code,re.text) # 获取代理人号码 def getPhone(buserid): url='https://zz.zu.fang.com/RentDetails/Ajax/GetAgentVirtualMobile.aspx' data['agentbid']=buserid res=session.post(url,data=data) if res.status_code==200: return res.text else: print(res.status_code) return if __name__ == '__main__': start_time=time.time() hrefs=[] info=[] init_url = 'https://zz.zu.fang.com/house/' num=getNum(getHtml(init_url)) with ThreadPoolExecutor(max_workers=5) as t: for i in range(0,num): url = f'https://zz.zu.fang.com/house/i3{i+1}/' t.submit(getLink,url) print("共获取%d个链接"%len(hrefs)) print(hrefs) with ThreadPoolExecutor(max_workers=30) as t: for href in hrefs: t.submit(parsePage,href) print("共获取%d条数据"%len(info)) print("耗时{}".format(time.time()-start_time)) session.close()三、使用asyncio进一步优化
# 用session取代requests # 解析库使用bs4 # 并发库使用concurrent import requests # from lxml import etree # 使用xpath解析 from bs4 import BeautifulSoup from concurrent.futures import ThreadPoolExecutor from urllib import parse import re import time import asyncio headers = { 'referer': 'https://zz.zu.fang.com/', 'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/86.0.4240.198 Safari/537.36', 'cookie': 'global_cookie=ffzvt3kztwck05jm6twso2wjw18kl67hqft; integratecover=1; city=zz; keyWord_recenthousezz=%5b%7b%22name%22%3a%22%e6%96%b0%e5%af%86%22%2c%22detailName%22%3a%22%22%2c%22url%22%3a%22%2fhouse-a014868%2f%22%2c%22sort%22%3a1%7d%2c%7b%22name%22%3a%22%e4%ba%8c%e4%b8%83%22%2c%22detailName%22%3a%22%22%2c%22url%22%3a%22%2fhouse-a014864%2f%22%2c%22so
点击排行
本栏推荐
