Python爬虫爬取百度百科词条

本文介绍了一个使用Python爬取百度百科词条的项目。通过构建URL管理器、HTML下载器等模块,实现了爬取1000条词条的目标,并将数据保存为HTML文件。

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在慕课网上的课程,我将他的代码在我电脑上进行了实现

慕课网相关链接:http://www.imooc.com/learn/563

GitHub代码:https://github.com/DongChengrong/imooc

目标:爬取百度百科上的1000条词条,将爬取的词条url地址输出,将词条的相关信息(url、标题、概述)写入一个叫output.htm的文件

 

首先打开eclipse,建立一个PyDev的项目,在该项目的src目录下新建一个叫做baike_spider的包,这个包下新建5个Python文件,分别是用于启动的spider_main.py、html下载器html_downloader.py、用于解析HTML文件的html_parser.py、用于url管理的url_manager.py、用于向output.html中写信息的html_outputer.py

 

下面我将分别给出五个文件的内容

 

spider_main.py

 

#coding:utf-8

from baike_spider import url_manager,html_downloader,html_outputer,html_parser

class SpiderMain(object):
    
    def __init__(self):
        self.urls = url_manager.UrlManager()
        self.downloader = html_downloader.HtmlDownloader()
        self.parser = html_parser.HtmlParser()
        self.outputer = html_outputer.HtmlOutputer()
    
    def craw(self, root_url):
        count = 1
        self.urls.add_new_url(root_url)
        while self.urls.has_new_url():
            try:
                new_url = self.urls.get_new_url()
                
                print "craw %d : %s"%(count, new_url)
    
                html_cont = self.downloader.download(new_url)
                new_urls, new_data = self.parser.parse(new_url,html_cont)
                self.urls.add_new_urls(new_urls)
                self.outputer.collect_data(new_data)
                
                if(count == 1000):
                    break;
                
                count = count + 1 
            except Exception,e:
                print e
                print "craw failed"
            
        self.outputer.output_html()

if __name__ == '__main__':
    root_url = 'https://baike.baidu.com/item/Python/407313'
    obj_spider = SpiderMain()
    obj_spider.craw(root_url)


html_downloader.py

 

 

#coding:utf-8
import urllib2

class HtmlDownloader():
    
    def download(self, url):
        if url is None:
            return None
        
        response = urllib2.urlopen(url)
        
        if response.getcode() != 200:
            return None
        
        return response.read()


html_parser.py

 

 

#coding:utf-8
import re
from bs4 import BeautifulSoup
import urlparse


class HtmlParser():
    
    def _get_new_urls(self,page_url,soup):
        
        new_urls = set()
        links = soup.find_all('a',href = re.compile(r"/item/"))
        for link in links:
            new_url = link['href']
            new_full_url = urlparse.urljoin(page_url, new_url)
            new_urls.add(new_full_url)
            
        return new_urls
    
    def _get_new_data(self,page_url,soup):
        
        res_data = {}
        res_data['url'] = page_url
        
        #<dd class="lemmaWgt-lemmaTitle-title">
        title_node = soup.find('dd', class_ = "lemmaWgt-lemmaTitle-title").find("h1")
        res_data['title'] = title_node.get_text()
        #<div class="lemma-summary" label-module="lemmaSummary">
        summary_node = soup.find("div",class_ = "lemma-summary")
        res_data['summary'] = summary_node.get_text()
        
        return res_data
              
    def parse(self,page_url,html_cont):
        if page_url is None or html_cont is None:
            return
        
        soup = BeautifulSoup(html_cont, 'html.parser',from_encoding = 'utf-8')
        new_urls = self._get_new_urls(page_url, soup)
        new_data = self._get_new_data(page_url, soup)
        
        return new_urls, new_data


html_outputer.py

 

 

#coding:utf-8
import sys
from doctest import _SpoofOut
from idlelib.IOBinding import encoding

class HtmlOutputer():
    
    def __init__(self):
        self.datas = []   
    
    def collect_data(self,data):
        if data is None:
            return
        self.datas.append(data)
        
    def output_html(self):
        with open("output.html",'w') as fout:
            
            fout.write("<html>")
            fout.write("<body>")
            fout.write("<table border = ‘1’>")
            
            for data in self.datas:
                
                fout.write("<tr>")
                fout.write("<td><a href =%s>" % data['url'])
                fout.write(("%s</a></td>" % data['title']).encode("utf-8"))
                fout.write(("<td>%s</td>" % data['summary']).encode('utf-8'))
                fout.write("</tr>")
            
            fout.write("</table>")
            fout.write("</body>")
            fout.write("</html>")
        
            fout.close()


url_manager.py

 

 

#coding:utf-8

class UrlManager():
    
    def __init__(self):
        self.new_urls = set()
        self.old_urls = set()
    
    def add_new_url(self,url):
        if url is None:
            return
        if url not in self.new_urls and url not in self.old_urls:
            self.new_urls.add(url)
            
    def add_new_urls(self,urls):
        if urls is None or len(urls) == 0:
            return
        for url in urls:
            self.add_new_url(url)
             
              
    def has_new_url(self):
        return len(self.new_urls) != 0
    
    def get_new_url(self):
        new_url = self.new_urls.pop()
        self.old_urls.add(new_url)
        return new_url

 

 

好了,就这些,祝福同学们一起成功的爬取词条

 

附上我运行成功后生成的output.html截图

百度百科约500万条词条,可用于语义关联或简单的知识网络建立,xml格式,解压后638M,请不要用记事本直接打开,我是用UE打开的,sublime好像会有乱码,文件内容示例如下: =1 <TITLE>=百度百科 =百度百度百科,网络,百科全书,百科词典 =百度知道;贴吧;百度空间;百度地图;百度新闻搜索;百度图片;百度mp3;百度Hi;百度工具栏;百度影视;百度邮编搜索;百度黄页搜索;百度杀毒;百度语音搜索;科利尔百科全书;苏联大百科全书;汇吃百科;维基百科;百度视频;百度蜘蛛;百度文库;互动百科;百度文档;百度文化共享搜索;百度盲道;百度会员;百度搜藏;百度TV;百科全书;知识掌门人;百度游戏;百度有啊;张震;科友; =http://baike.baidu.com/view/1.htm =2 <TITLE>=词条 =百度百度百科 =相关词条; =http://baike.baidu.com/view/2.htm =3 <TITLE>=编辑实验 =百度百度百科,帮助,词条,编辑 =词条;百度; =http://baike.baidu.com/view/3.htm =4 <TITLE>=馒头 =食品,饮食,面食,食谱,蒸馍 =大饼;油条;面包;饺子;花卷;包子;麻花;食品;主食;糯米饭;蛋糕;鲜肉包;米粥;面条;凉拌菜;年糕;饼干;窝头;粽子;烤饼;酥饼;汤圆;烧饼; =http://baike.baidu.com/view/4.htm =6 <TITLE>=雁荡山 =地理,旅游,旅游景点,自然景观,地质公园 =华山;泰山;普陀山;恒山;嵩山;莫干山;浣江;衡山;括苍山;双龙洞;雪窦山;天台山;天目山;楠溪江;天柱山;景宁香炉山;乌镇;杭州西湖;泽雅;白水洋;武夷山;洞宫山;桃花岛;三清山;黄山;新安江水库;崂山区;溪口;太姥山;南麂列岛;野鹤湫;庐山;江心屿;瑶溪;朱家尖;石桅岩;绍兴县;杨家溪;仙岩山;仙都风景区;大龙湫;三折瀑;五岳; =http://baike.baidu.com/view/6.htm =7 <TITLE>=灵峰 =风景,雁荡山,地理,旅游,温州 = =http://baike.baidu.com/view/7.htm
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