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所以我用 Python 和它的一些库制作了一个网络爬虫……它进入给定的站点并从该站点的链接中获取所有链接和文本。我已经过滤了结果，所以我只打印该站点上的外部链接。

代码如下所示：

import urllib
import re
import mechanize
from bs4 import BeautifulSoup
import urlparse
import cookielib
from urlparse import urlsplit
from publicsuffix import PublicSuffixList

link = "http://www.ananda-pur.de/23.html"

newesturlDict = {}
baseAdrInsArray = []



br = mechanize.Browser()
cj = cookielib.LWPCookieJar()
br.set_cookiejar(cj)
br.set_handle_robots(False)
br.set_handle_equiv(False)
br.set_handle_redirect(True)
br.set_handle_refresh(mechanize._http.HTTPRefreshProcessor(), max_time=1)
br.addheaders = [('User-agent', 'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.9.0.1) Gecko/2008071615 Fedora/3.0.1-1.fc9 Firefox/3.0.1')]
page = br.open(link, timeout=10)


for linkins in br.links():

    newesturl = urlparse.urljoin(linkins.base_url, linkins.url)

    linkTxt = linkins.text
    baseAdrIns = linkins.base_url

    if baseAdrIns not in baseAdrInsArray:
        baseAdrInsArray.append(baseAdrIns)

    netLocation = urlsplit(baseAdrIns)
    psl = PublicSuffixList()
    publicAddress = psl.get_public_suffix(netLocation.netloc)

    if publicAddress not in newesturl:

        if newesturl not in newesturlDict:
            newesturlDict[newesturl,linkTxt] = 1
        if newesturl in newesturlDict:
            newesturlDict[newesturl,linkTxt] += 1

newesturlCount = sorted(newesturlDict.items(),key=lambda(k,v):(v,k),reverse=True)
for newesturlC in newesturlCount:
    print baseAdrInsArray[0]," - ",newesturlC[0],"- count: ", newesturlC[1]

并打印出这样的结果：

http://www.ananda-pur.de/23.html  -  ('http://www.yogibhajan.com/',  'http://www.yogibhajan.com') - count:  1
http://www.ananda-pur.de/23.html  -  ('http://www.kundalini-yoga-zentrum-berlin.de/', 'http://www.kundalini-yoga-zentrum-berlin.de') - count:  1
http://www.ananda-pur.de/23.html  -  ('http://www.kriteachings.org/', 'http://www.sat-nam-rasayan.de') - count:  1
http://www.ananda-pur.de/23.html  -  ('http://www.kriteachings.org/', 'http://www.kriteachings.org') - count:  1
http://www.ananda-pur.de/23.html  -  ('http://www.kriteachings.org/', 'http://www.gurudevsnr.com') - count:  1
http://www.ananda-pur.de/23.html  -  ('http://www.kriteachings.org/', 'http://www.3ho.de') - count:  1

我的问题是那些具有不同文本的相同链接。根据打印示例，给定站点有 4 个链接http://www.kriteachings.org/，但如您所见，这 4 个链接中的每一个都有不同的text：第一个是http://www.sat-nam-rasayan.de，第二个是http://www.kriteachings.org，第三个是http://www.gurudevsnr.com，第四个是http://www.3ho.de

我想得到打印结果，我可以看到给定页面上有多少时间链接，但如果有不同的链接文本，它只会附加到来自同一链接的其他文本。为了达到这个例子的目的，我想得到这样的打印：

http://www.ananda-pur.de/23.html  -  http://www.yogibhajan.com/ - http://www.yogibhajan.com - count:  1
http://www.ananda-pur.de/23.html  -  http://www.kundalini-yoga-zentrum-berlin.de - http://www.kundalini-yoga-zentrum-berlin.de - count:  1
http://www.ananda-pur.de/23.html  -  http://www.kriteachings.org/ - http://www.sat-nam-rasayan.de, http://www.kriteachings.org, http://www.gurudevsnr.com, http://www.3ho.de  - count:  4

解释：

（第一个链接是给定页面，第二个是建立链接，第三个链接是该建立链接的实际文本，第四项是该链接在给定站点上出现的次数）

我的主要问题是我不知道如何比较？！，排序？！或者告诉程序这是同一个链接，并且它应该附加不同的文本。

如果没有太多代码，这样的事情是否可能？我是python nooby，所以我有点迷路了..

欢迎任何帮助或建议

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1 回答 1

1

将链接收集到字典中，收集链接文本并处理计数：

import cookielib

import mechanize


base_url = "http://www.ananda-pur.de/23.html"

br = mechanize.Browser()
cj = cookielib.LWPCookieJar()
br.set_cookiejar(cj)
br.set_handle_robots(False)
br.set_handle_equiv(False)
br.set_handle_redirect(True)
br.set_handle_refresh(mechanize._http.HTTPRefreshProcessor(), max_time=1)
br.addheaders = [('User-agent',
                  'Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.9.0.1) Gecko/2008071615 Fedora/3.0.1-1.fc9 Firefox/3.0.1')]
page = br.open(base_url, timeout=10)

links = {}
for link in br.links():
    if link.url not in links:
        links[link.url] = {'count': 1, 'texts': [link.text]}
    else:
        links[link.url]['count'] += 1
        links[link.url]['texts'].append(link.text)

# printing
for link, data in links.iteritems():
    print "%s - %s - %s - %d" % (base_url, link, ",".join(data['texts']), data['count'])

印刷：

http://www.ananda-pur.de/23.html - index.html - Zadekstr 11,12351 Berlin, - 2
http://www.ananda-pur.de/23.html - 28.html - Das Team - 1
http://www.ananda-pur.de/23.html - http://www.yogibhajan.com/ - http://www.yogibhajan.com - 1
http://www.ananda-pur.de/23.html - 24.html - Kontakt - 1
http://www.ananda-pur.de/23.html - 25.html - Impressum - 1
http://www.ananda-pur.de/23.html - http://www.kriteachings.org/ - http://www.kriteachings.org,http://www.gurudevsnr.com,http://www.sat-nam-rasayan.de,http://www.3ho.de - 4
http://www.ananda-pur.de/23.html - http://www.kundalini-yoga-zentrum-berlin.de/ - http://www.kundalini-yoga-zentrum-berlin.de - 1
http://www.ananda-pur.de/23.html - 3.html - Ergo Oranien 155 - 1
http://www.ananda-pur.de/23.html - 2.html - Physio Bänsch 36 - 1
http://www.ananda-pur.de/23.html - 13.html - Stellenangebote - 1
http://www.ananda-pur.de/23.html - 23.html - Links - 1
于 2013-08-21T08:18:22.383 回答