这篇文章主要为大家展示了“python爬虫的示例分析”，内容简而易懂，条理清晰，希望能够帮助大家解决疑惑，下面让小编带领大家一起研究并学习一下“python爬虫的示例分析”这篇文章吧。
爬虫简单架构
程序入口函数(爬虫调度段)
#coding:utf8 import time, datetime from maya_Spider import url_manager, html_downloader, html_parser, html_outputer class Spider_Main(object): #初始化操作 def __init__(self): #设置url管理器 self.urls = url_manager.UrlManager() #设置HTML下载器 self.downloader = html_downloader.HtmlDownloader() #设置HTML解析器 self.parser = html_parser.HtmlParser() #设置HTML输出器 self.outputer = html_outputer.HtmlOutputer() #爬虫调度程序 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_content = self.downloader.download(new_url) new_urls, new_data = self.parser.parse(new_url, html_content) self.urls.add_new_urls(new_urls) self.outputer.collect_data(new_data) if count == 10: break count = count + 1 except: print('craw failed') self.outputer.output_html() if __name__ == '__main__': #设置爬虫入口 root_url = 'http://baike.baidu.com/view/21087.htm' #开始时间 print('开始计时..............') start_time = datetime.datetime.now() obj_spider = Spider_Main() obj_spider.craw(root_url) #结束时间 end_time = datetime.datetime.now() print('总用时：%ds'% (end_time - start_time).seconds)URL管理器
class UrlManager(object): 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
网页下载器
import urllib import urllib.request class HtmlDownloader(object): def download(self, url): if url is None: return None #伪装成浏览器访问，直接访问的话csdn会拒绝 user_agent = 'Mozilla/4.0 (compatible; MSIE 5.5; Windows NT)' headers = {'User-Agent':user_agent} #构造请求 req = urllib.request.Request(url,headers=headers) #访问页面 response = urllib.request.urlopen(req) #python3中urllib.read返回的是bytes对象，不是string,得把它转换成string对象，用bytes.decode方法 return response.read().decode()网页解析器
import re import urllib from urllib.parse import urlparse from bs4 import BeautifulSoup class HtmlParser(object): def _get_new_urls(self, page_url, soup): new_urls = set() #/view/123.htm links = soup.find_all('a', href=re.compile(r'/item/.*?')) for link in links: new_url = link['href'] new_full_url = urllib.parse.urljoin(page_url, new_url) new_urls.add(new_full_url) return new_urls #获取标题、摘要 def _get_new_data(self, page_url, soup): #新建字典 res_data = {} #url res_data['url'] = page_url #<dd class="lemmaWgt-lemmaTitle-title"><h2>Python</h2>获得标题标签 title_node = soup.find('dd', class_="lemmaWgt-lemmaTitle-title").find('h2') print(str(title_node.get_text())) res_data['title'] = str(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_content): if page_url is None or html_content is None: return None soup = BeautifulSoup(html_content, '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网页输出器
class HtmlOutputer(object): def __init__(self): self.datas = [] def collect_data(self, data): if data is None: return self.datas.append(data ) def output_html(self): fout = open('maya.html', 'w', encoding='utf-8') fout.write("<head><meta http-equiv='content-type' content='text/html;charset=utf-8'></head>") fout.write('<html>') fout.write('<body>') fout.write('<table border="1">') # <th width="5%">Url</th> fout.write('''<tr width="90%"> <th>Theme</th> <th width="80%">Content</th> </tr>''') for data in self.datas: fout.write('<tr>\n') # fout.write('\t<td>%s</td>' % data['url']) fout.write('\t<td align="center"><a href=\'%s\'>%s</td>' % (data['url'], data['title'])) fout.write('\t<td>%s</td>\n' % data['summary']) fout.write('</tr>\n') fout.write('</table>') fout.write('</body>') fout.write('</html>') fout.close()运行结果
以上是“python爬虫的示例分析”这篇文章的所有内容，感谢各位的阅读！相信大家都有了一定的了解，希望分享的内容对大家有所帮助，如果还想学习更多知识，欢迎关注亿速云行业资讯频道！
免责声明：本站发布的内容（图片、视频和文字）以原创、转载和分享为主，文章观点不代表本网站立场，如果涉及侵权请联系站长邮箱：is@yisu.com进行举报，并提供相关证据，一经查实，将立刻删除涉嫌侵权内容。
