python开发简单爬虫:实战篇
1. 分析目标
本次实战篇的目的是抓取百度百科python词条页面的标题和简介以及与之相关联的词条页面的标题和简介。
- 目标:百度百科python词条以及相关词条网页的标题和简介
- 入口页:百度百科python词条页:http://baike.baidu.com/view/21087.htm
- url格式:
- 词条页面url:
/view/123.htm
- 词条页面url:
- 数据格式:
- 标题:
<dd class="lemmaWgt-lemmaTitle-title"><h1>******</h1></dd>
- 简介:
<div class="lemma-summary" label-module="lemmaSummary">******</div>
- 标题:
- 页面编码:UTF-8
2.URL管理器
代码如下:
# coding:utf8
class UrlManager(object):
def __init__(self):
# 初始化待爬取url集合和已爬取url集合
self.new_urls = set()
self.old_urls = set()
# 添加一个新的url到new_urls
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)
# 获取一个待爬取的url,并将此url添加到old_urls
def get_new_url(self):
new_url = self.new_urls.pop()
self.old_urls.add(new_url)
return new_url
# 判断是否还有待爬取的url
def has_new_url(self):
return len(self.new_urls) != 0
# 添加多个url到new_urls
def add_new_urls(self, urls):
if urls is None or len(urls) == 0:
return
for url in urls:
self.add_new_url(url)
3. 网页下载器
代码如下:
# coding:utf8
import urllib2
class HtmlDownloader(object):
# 使用urllib2最简单的方法下载url页面内容
def download(self, url):
if url is None:
return None
resp = urllib2.urlopen(url)
if resp.getcode() != 200:
return None
return resp.read()
4. 网页解析器
代码如下:
# coding:utf8
import re
import urlparse
from bs4 import BeautifulSoup
class HtmlParser(object):
# 得到页面相关的url
def _get_new_urls(self, page_url, soup):
new_urls = set()
# /view/123.htm
links = soup.find_all('a', href=re.compile(r'/view/\d+\.htm'))
for link in links:
new_url = link['href']
# 将/view/123.htm补充完整:http://baike.baidu.com/view/123.htm
new_full_url = urlparse.urljoin(page_url, new_url)
# 将解析到的unicode编码的网址转化为utf-8格式
new_urls.add(new_full_url.encode('utf-8'))
return new_urls
# 得到页面标题和简介
def _get_new_data(self, page_url, soup):
res_data = {}
# url
res_data['url'] = page_url
# 得到标题节点
# <dd class="lemmaWgt-lemmaTitle-title"> <h1 >Python</h1>
title_node = soup.find('dd', class_='lemmaWgt-lemmaTitle-title').find('h1')
res_data['title'] = title_node.get_text()
# 得到简介节点
# <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
# 对下载页面内容进行解析
def parse(self, page_url, html_cont):
if page_url is None or html_cont is None:
return None
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
5. 数据输出器
代码如下:
# coding:utf8
class HtmlOutputer(object):
def __init__(self):
self.datas = []
# 收集数据
def collect_data(self, data):
if data is None:
return None
self.datas.append(data)
# 将收集到的数据生成一个HTML页面输出
def output_html(self):
fout = open('output.html', 'w')
fout.write('<html>')
fout.write('<head>')
fout.write('<meta charset="UTF-8"></meta>')
fout.write('</head>')
fout.write('<body>')
fout.write('<table>')
for data in self.datas:
fout.write('<tr>')
fout.write('<td>%s</td>' % data['url'].encode('utf-8'))
fout.write('<td>%s</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()
6. 爬虫调度器
# coding:utf8
from baike1 import url_manager, html_downloader, html_parser, html_outputer
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, url):
count = 1
self.urls.add_new_url(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 == 100:
break
count += 1
except:
print 'craw failed'
self.outputer.output_html()
if __name__ == "__main__":
root_url = 'http://baike.baidu.com/view/21087.htm'
obj_spider = SpiderMain()
obj_spider.craw(root_url)
程序运行结果截图:
至此,一个非常简单的爬虫已经完成,撒花!