[Python学习] 简单网络爬虫抓取博客文章及思想介绍

2023-10-25 18:50

本文主要是介绍[Python学习] 简单网络爬虫抓取博客文章及思想介绍,希望对大家解决编程问题提供一定的参考价值,需要的开发者们随着小编来一起学习吧!

原文链接:http://www.2cto.com/kf/201410/340479.html


前面一直强调Python运用到网络爬虫方面非常有效,这篇文章也是结合学习的Python视频知识及我研究生数据挖掘方向的知识.从而简单介绍下Python是如何爬去网络数据的,文章知识非常简单,但是也分享给大家,就当简单入门吧!同时只分享知识,希望大家不要去做破坏网络的知识或侵犯别人的原创型文章.主要包括:
1.介绍爬取CSDN自己博客文章的简单思想及过程
2.实现Python源码爬取新浪韩寒博客的316篇文章http://blog.csdn.net/eastmount/article/details/

一.爬虫的简单思想http://blog.csdn.net/eastmount/article/details/

http://blog.csdn.net/eastmount/article/details/最近看刘兵的《Web数据挖掘》知道,在研究信息抽取问题时主要采用的是三种方法:
1.手工方法:通过观察网页及源码找出模式,再编写程序抽取目标数据.但该方法无法处理站点数量巨大情形.
2.包装器归纳:它英文名称叫Wrapper Induction,即有监督学习方法,是半自动的.该方法从手工标注的网页或数据记录集中学习一组抽取规则,从而抽取具有类似格式的网页数据.
3.自动抽取:它是无监督方法,给定一张或数张网页,自动从中寻找模式或语法实现数据抽取,由于不需要手工标注,故可以处理大量站点和网页的数据抽取工作.
这里使用的Python网络爬虫就是简单的数据抽取程序,后面我也将陆续研究一些Python+数据挖掘的知识并写这类文章.首先我想获取的是自己的所有CSDN的博客(静态.html文件),具体的思想及实现方式如下:
第一步 分析csdn博客的源码
首先需要实现的是通过分析博客源码获取一篇csdn的文章,在使用IE浏览器按F12或Google Chrome浏览器右键"审查元素"可以分析博客的基本信息.在网页中http://blog.csdn.net/eastmount链接了作者所有的博文.
显示的源码格式如下:
\
其中..

表示显示的每一篇博客文章,其中第一篇显示如下:
\
它的具体html源代码如下:
\
所以我们只需要获取每页中博客
中的链接,并增加http://blog.csdn.net即可.在通过代码:http://blog.csdn.net/eastmount/article/details/

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import urllib
content = urllib.urlopen( "http://blog.csdn.nethttp://blog.csdn.net/eastmount/article/details/39599061" ).read()
open( 'test.html' , 'w+' ).write(content)

但是CSDN会禁止这样的行为,服务器禁止爬取站点内容到别人的网上去.我们的博客文章经常被其他网站爬取,但并没有申明原创出处,还请尊重原创.它显示的错误"403 Forbidden".
PS:据说模拟正常上网能实现爬取CSDN内容,读者可以自己去研究,作者此处不介绍.参考(已验证):
http://blog.csdn.net/eastmount/article/details/http://www.yihaomen.com/article/python/210.htmhttp://blog.csdn.net/eastmount/article/details/
http://www.2cto.com/kf/201405/304829.htmlhttp://blog.csdn.net/eastmount/article/details/
第二步 获取自己所有的文章
这里只讨论思想,假设我们第一篇文章已经获取成功.下面使用Python的find()从上一个获取成功的位置继续查找下一篇文章链接,即可实现获取第一页的所有文章.它一页显示的是20篇文章,最后一页显示剩下的文章.
那么如何获取其他页的文章呢?http://blog.csdn.net/eastmount/article/details/

\
我们可以发现当跳转到不同页时显示的超链接为:http://blog.csdn.net/eastmount/article/details/

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1 页 http: //blog.csdn.net/Eastmount/article/list/1
2 页 http: //blog.csdn.net/Eastmount/article/list/2
3 页 http: //blog.csdn.net/Eastmount/article/list/3
4 页 http: //blog.csdn.net/Eastmount/article/list/4

这思想就非常简单了,其过程简单如下:
for(int i=0;i<4;i++) //获取所有页文章
for(int j=0;j<20;j++) //获取一页文章 注意最后一页文章篇数
GetContent(); //获取一篇文章 主要是获取超链接http://blog.csdn.net/eastmount/article/details/
同时学习过通过正则表达式,在获取网页内容图片过程中格外方便.如我前面使用C#和正则表达式获取图片的文章:http://blog.csdn.net/eastmount/article/details/12235521http://blog.csdn.net/eastmount/article/details/

二.爬取新浪博客http://blog.csdn.net/eastmount/article/details/http://blog.csdn.net/eastmount/article/details/

上面介绍了爬虫的简单思想,但是由于一些网站服务器禁止获取站点内容,但是新浪一些博客还能实现.这里参照"51CTO学院 智普教育的python视频"获取新浪韩寒的所有博客.
地址为:http://blog.sina.com.cn/s/articlelist_1191258123_0_1.html
采用同上面一样的方式我们可以获取每个

..
中包含着一篇文章的超链接,如下图所示:
\
此时通过Python获取一篇文章的代码如下:http://blog.csdn.net/eastmount/article/details/

http://blog.csdn.net/eastmount/article/details/
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import urllib
content = urllib.urlopen( "http://blog.sina.com.cn/s/blog_4701280b0102eo83.html" ).read()
open( 'blog.html' , 'w+' ).write(content)

可以显示获取的文章,现在需要获取一篇文章的超链接,即:
《论电影的七个元素》——关于我对电…
在没有讲述正则表达式之前使用Python人工获取超链接http,从文章开头查找第一个"<a title",然后接着找到"href="和" .html"即可获取"http:="" blog.sina.com.cn="" s="" blog_4701280b0102eo83.html".代码如下:http:="" blog.csdn.net="" eastmount="" article="" details="" <="" strong="">

<a title",然后接着找到"href="和" .html"即可获取"http:="" blog.sina.com.cn="" s="" blog_4701280b0102eo83.html".代码如下:http:="" blog.csdn.net="" eastmount="" article="" details="" <="" strong="">
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#..
#coding:utf- 8
con = urllib.urlopen( "http://blog.sina.com.cn/s/articlelist_1191258123_0_1.html" ).read()
title = con.find(r'
<p><strong>        下面按照前面讲述的思想通过两层循环即可实现获取所有文章,具体代码如下:http: //blog.csdn.net/eastmount/article/details/</strong></p>
<pre class = " brush:java;" = "" >#coding:utf- 8
import urllib
import time
page= 1
while page<= 7 :
     url=[ '' ]* 50      #新浪播客每页显示 50
     temp= 'http://blog.sina.com.cn/s/articlelist_1191258123_0_' +str(page)+ '.html'
     con =urllib.urlopen(temp).read()
     #初始化
     i= 0
     title=con.find(r'下载获取文章
     j= 0
     while (j<i): #前面 6 页为 50 篇= "" 最后一页为i篇= "" content= "urllib.urlopen(url[j]).read()" open(r&# 39 ;hanhan= "" &# 39 ;+url[j][- 26 :],&# 39 ;w+&# 39 ;).write(content)= "" #写方式打开= "" +表示没有即创建= "" j= "j+1" time.sleep( 1 )= "" else := "" print= "" &# 39 ;download&# 39 ;= "" page= "page+1" &# 39 ;all= "" find= "" end&# 39 ;<= "" pre= "" >
<p><strong>        这样我们就把韩寒的 316 篇新浪博客文章全部爬取成功并能显示每一篇文章,显示如下:<br>
http: //blog.csdn.net/eastmount/article/details/</strong><img width="640" height="300" alt="\" src="http://www.2cto.com/uploadfile/Collfiles/20141005/20141005085306131.jpg"><br>
<strong>        这篇文章主要是简单的介绍了如何使用Python实现爬取网络数据,后面我还将学习一些智能的数据挖掘知识和Python的运用,实现更高效的爬取及获取客户意图和兴趣方面的知识.想实现智能的爬取图片和小说两个软件.<br>
         该文章仅提供思想,希望大家尊重别人的原创成果,不要随意爬取别人的文章并没有含原创作者信息的转载!最后希望文章对大家有所帮助,初学Python,如果有错误或不足之处,请海涵!<br>
     (By:Eastmount 2014 - 9 - 28 中午 11 点 原创CSDN http: //blog.csdn.net/eastmount/)<br>
         参考资料:<br>
         1 .51CTO学院 智普教育的python视频http: //blog.csdn.net/eastmount/article/details/</strong><strong>http://edu.51cto.com/course/course_id-581.htmlhttp://blog.csdn.net/eastmount/article/details/</strong><br>
<strong>        2 .《Web数据挖掘》刘兵著http: //blog.csdn.net/eastmount/article/details/</strong></p>                     
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