python 爬虫实践

男娘i 2022-03-18 11:22 254阅读 0赞

爬虫是python最重要的一个应用场景，用户可以根据自己的需要通过爬虫从网站上获取数据。

爬虫按照爬取内容可以氛围通用爬虫和聚焦爬虫两类，通用爬虫是获得网页本身即可，最典型的应用是百度快照；聚焦爬虫则是获取网页元素内容，解析后存储做分析使用。

爬虫世界主要解决以下几个问题：

1. 如何爬取？

爬虫具备三大特征：统一的url，html，http或者https请求。因此爬虫的过程就是通过统一的url，通过http或https协议发送get或post请求，获得统一数据展现形式的html页面。

import random
    import urllib2
    import urllib
    
    # 模拟不同的浏览器，填充请求头：User-agent
    ua_list=[
        "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/61.0.3163.100 Safari/537.36",
        "Mozilla/5.0(Macintosh;U;IntelMacOSX10_6_8;en-us)AppleWebKit/534.50(KHTML,likeGecko)Version/5.1Safari/534.50",
        "Opera/9.80(Macintosh;IntelMacOSX10.6.8;U;en)Presto/2.8.131Version/11.11",
        "Opera/9.80(WindowsNT6.1;U;en)Presto/2.8.131Version/11.11",
        "Mozilla/4.0(compatible;MSIE7.0;WindowsNT5.1;Maxthon2.0)"
    ]
    
    # 随机选取
    user_agent=random.choice(ua_list)
    
    ua_headers={
        "User-agent":"Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/61.0.3163.100 Safari/537.36"
    }
    url="http://www.baidu.com"
    #request=urllib2.Request("http://www.baidu.com",headers=ua_headers)
    
    # request请求
    request=urllib2.Request(url)
    request.add_header("User-Agent",user_agent)
    
    print request.get_header("User-agent")
    
    response=urllib2.urlopen(request)
    html=response.read()
    
    print response.getcode()
    print response.geturl()
    print response.info()

2.  登录型网站如何处理cookie？

简单的操作就是在请求头将网页页面的cookie内容添加入请求头，弊端是每次爬取需要在网页先登录生成cookie。

# -*- coding:utf-8 -*-
    
    import urllib2
    
    url = "http://www.renren.com/410043129/profile"
    
    headers = {
        "Host" : "www.renren.com",
        "Connection" : "keep-alive",
        #"Upgrade-Insecure-Requests" : "1",
        "User-Agent" : "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/54.0.2840.99 Safari/537.36",
        "Accept" : "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8",
        "Referer" : "http://www.renren.com/SysHome.do",
        #"Accept-Encoding" : "gzip, deflate, sdch",
        # 添加入网页登录cookie
        "Cookie" : "anonymid=ixrna3fysufnwv; _r01_=1; depovince=GW; jebe_key=f6fb270b-d06d-42e6-8b53-e67c3156aa7e%7Cc13c37f53bca9e1e7132d4b58ce00fa3%7C1484060607478%7C1%7C1484400895379; jebe_key=f6fb270b-d06d-42e6-8b53-e67c3156aa7e%7Cc13c37f53bca9e1e7132d4b58ce00fa3%7C1484060607478%7C1%7C1484400890914; JSESSIONID=abcX8s_OqSGsYeRg5vHMv; jebecookies=0c5f9b0d-03d8-4e6a-b7a9-3845d04a9870|||||; ick_login=8a429d6c-78b4-4e79-8fd5-33323cd9e2bc; _de=BF09EE3A28DED52E6B65F6A4705D973F1383380866D39FF5; p=0cedb18d0982741d12ffc9a0d93670e09; ap=327550029; first_login_flag=1; ln_uact=mr_mao_hacker@163.com; ln_hurl=http://hdn.xnimg.cn/photos/hdn521/20140529/1055/h_main_9A3Z_e0c300019f6a195a.jpg; t=56c0c522b5b068fdee708aeb1056ee819; societyguester=56c0c522b5b068fdee708aeb1056ee819; id=327550029; xnsid=5ea75bd6; loginfrom=syshome",
        "Accept-Language" : "zh-CN,zh;q=0.8,en;q=0.6",
    }
    
    request = urllib2.Request(url, headers = headers)
    response = urllib2.urlopen(request)
    
    print response.read()

另一种方式是通过cookielib包解决：

import urllib
    import urllib2
    import cookielib
    
    # 通过CookieJar()类构建一个cookieJar()对象，用来保存cookie的值
    cookie = cookielib.CookieJar()
    
    # 通过HTTPCookieProcessor()处理器类构建一个处理器对象，用来处理cookie
    # 参数就是构建的CookieJar()对象
    cookie_handler = urllib2.HTTPCookieProcessor(cookie)
    
    # 构建一个自定义的opener
    opener = urllib2.build_opener(cookie_handler)
    
    # 通过自定义opener的addheaders的参数，可以添加HTTP报头参数
    opener.addheaders = [("User-Agent", "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/54.0.2840.99 Safari/537.36")]
    
    # renren网的登录接口
    url = "http://www.renren.com/PLogin.do"
    
    # 需要登录的账户密码
    data = {"email":"mr_mao_hacker@163.com", "password":"alarmchime"}
    
    # 通过urlencode()编码转换
    data = urllib.urlencode(data)
    
    # 第一次是post请求，发送登录需要的参数，获取cookie
    request = urllib2.Request(url, data = data)
    
    # 发送第一次的post请求，生成登录后的cookie(如果登录成功的话)
    response = opener.open(request)
    
    #print response.read()
    
    # 第二次可以是get请求，这个请求将保存生成cookie一并发到web服务器，服务器会验证cookie通过
    response_deng = opener.open("http://www.renren.com/410043129/profile")
    
    # 获取登录后才能访问的页面信息
    print response_deng.read()

3. 数据爬取如何解析？

python为数据解析提供了丰富的基础类库：re,xpath,bs4(beautifulSoup4),pyquery

# re匹配html中class名称为f18 mb20的div元素
    pattern = re.compile('<div\sclass="f18 mb20">(.*?)</div>', re.S)
    content_list=pattern.findall(html)
    
    # xpath匹配出所有老师的根节点列表集合
    teacher_list = response.xpath('//div[@class="li_txt"]')

4. https网站如何爬虫？

通过ssl忽略掉安全认证

#!/usr/bin/env python
    # -*- coding:utf-8 -*-
    
    import urllib2
    import ssl
    
    # 忽略SSL安全认证
    context = ssl._create_unverified_context()
    
    url = "https://www.12306.cn/mormhweb/"
    #url = "https://www.baidu.com/"
    
    headers = {
        "User-Agent" : "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/54.0.2840.99 Safari/537.36"
        }
    request = urllib2.Request(url, headers = headers)
    
    # 添加到context参数里
    response = urllib2.urlopen(request, context = context)
    
    print response.read()

5. ajax的post请求如何获得数据？

import urllib
    import urllib2
    
    url = "https://movie.douban.com/j/chart/top_list?type=11&interval_id=100%3A90&action"
    
    headers = {"User-Agent" : "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/54.0.2840.99 Safari/537.36"}
    
    # 将传递参数存储为字典类型
    formdata = {
            "start":"0",
            "limit":"20"
        }
    # 加密处理
    data = urllib.urlencode(formdata)
    
    request = urllib2.Request(url, data = data, headers = headers)
    
    print urllib2.urlopen(request).read()

【总结】

以上内容为python爬虫基本操作方法，python版本为2.7，详细代码可从github中查找：[https://github.com/whpHarper/pychon.git][https_github.com_whpHarper_pychon.git]

[https_github.com_whpHarper_pychon.git]: https://github.com/whpHarper/pychon.git