• python爬虫简单架构原理及示例


    网页下载器示例:

    # coding:utf-8
    import urllib2
    import cookielib
    url = "http://www.baidu.com"
    
    print u"第一种方法"
    # pip install urllib2
    response1 = urllib2.urlopen(url)
    print response1.getcode()
    print len(response1.read())
    
    print u"第二种方法"
    request = urllib2.Request(url)
    # 把爬虫伪装成浏览器
    request.add_header("user-agent", "Mozilla/5.0")
    response2 = urllib2.urlopen(request)
    print response2.getcode()
    print len(response2.read())
    
    print u"第三种方法"
    # pip install cookielib
    cj = cookielib.CookieJar()
    opener = urllib2.build_opener(urllib2.HTTPCookieProcessor(cj))
    urllib2.install_opener(opener)
    response3 = urllib2.urlopen(request)
    print response3.getcode()
    print cj
    print len(response3.read())

    # 运行结果

    beautifulsoap使用示例

    #coding:utf-8
    
    # 安装beautifulsoap4  D:Python27Lib>pip install beautifulsoup4
    
    from bs4 import BeautifulSoup
    import re
    
    html_doc = """
    <html><head><title>The Dormouse's story</title></head>
    <body>
    <p class="title"><b>The Dormouse's story</b></p>
    
    <p class="story">Once upon a time there were three little sisters; and their names were
    <a href="http://example.com/elsie" class="sister" id="link1">Elsie</a>,
    <a href="http://example.com/lacie" class="sister" id="link2">Lacie</a> and
    <a href="http://example.com/tillie" class="sister" id="link3">Tillie</a>;
    and they lived at the bottom of a well.</p>
    
    <p class="story">...</p>
    """
    
    soup = BeautifulSoup(html_doc, 'html.parser', from_encoding='utf-8')
    
    print u'获取所有的链接'
    links = soup.find_all('a')
    
    for link in links:
        print link.name,link['href'], link.get_text()
    
    print u'获取lacie的链接'
    link_node = soup.find('a', href='http://example.com/lacie')
    print link_node.name, link_node['href'],link_node.get_text()
    
    print u'正则匹配'
    link_node = soup.find('a', href=re.compile(r"ill"))
    print link_node.name, link_node['href'],link_node.get_text()
    
    print u'获取p段落名字'
    link_node = soup.find('p', class_="title")
    print link_node.name, link_node.get_text()
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  • 原文地址:https://www.cnblogs.com/reblue520/p/11083150.html
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