我搜集了国内10几个电影网站的数据，里面近几十W条记录，用文本没法存，mongodb学习成本非常低，安装、下载、运行起来不会花你5分钟时间。
# -*- coding: utf-8 -*- # by awakenjoys. my site: www.dianying.at import re import urllib2 from bs4 import BeautifulSoup import string, time import pymongo NUM = 0 #全局变量,电影数量 m_type = u'' #全局变量,电影类型 m_site = u'qq' #全局变量,电影网站 #根据指定的URL获取网页内容 def gethtml(url): req = urllib2.Request(url) response = urllib2.urlopen(req) html = response.read() return html #从电影分类列表页面获取电影分类 def gettags(html): global m_type soup = BeautifulSoup(html) #过滤出分类内容 #print soup #<ul gname="mi_type" gtype="1"> tags_all = soup.find_all('ul', {'class' : 'clearfix _group' , 'gname' : 'mi_type'}) #print len(tags_all), tags_all #print str(tags_all[1]).replace('n', '') #<a _hot="tag.sub" href="http://v.qq.com/list/1_0_-1_-1_1_0_0_20_0_-1_0.html" title="动作" tvalue="0">动作</a> re_tags = r'<a _hot="tag.sub" href="(.+"(.+"(.+">.+?</a>' p = re.compile(re_tags, re.DOTALL) tags = p.findall(str(tags_all[0])) if tags: tags_url = {} #print tags for tag in tags: tag_url = tag[0].decode('utf-8') #print tag_url m_type = tag[1].decode('utf-8') tags_url[m_type] = tag_url else: print "Not Find" return tags_url #获取每个分类的页数 def get_pages(tag_url): tag_html = gethtml(tag_url) #divmod_pagenav" id="pager"> div_page = soup.find_all('div', {'class' : 'mod_pagenav', 'id' : 'pager'}) #print div_page #len(div_page), div_page[0] #<a href="http://v.qq.com/list/1_2_-1_-1_1_0_24_20_0_-1_0.html" title="25"><span>25</span></a> re_pages = r'<a class=.+?><span>(.+?)</span></a>' p = re.compile(re_pages, re.DOTALL) pages = p.findall(str(div_page[0])) #print pages if len(pages) > 1: return pages[-2] else: return 1 def getmovielist(html): soup = BeautifulSoup(html) #<ul> divs = soup.find_all('ul', {'class' : 'mod_list_pic_130'}) #print divs for div_html in divs: div_html = str(div_html).replace('n', '') #print div_html getmovie(div_html) def getmovie(html): global NUM global m_type global m_site #<h6> <a href="http://www.tudou.com/albumcover/Z7eF_40EL4I.html" target="_blank" title="徒步旅行队">徒步旅行队</a> </h6> <ul> <li>法国卖座喜剧片</li> <li> </li> </ul> </div> <div> <div> <h3>徒步旅行队</h3> <div> <span>地区: 法国</span> <span>导演: </span> <span>年代: 2009</span> <span>类型: 喜剧</span> </div> <p>理查德·达奇拥有一家小的旅游公司，主要经营法国游客到非洲大草原的旅游服务。六个法国游客决定参加理查德·达奇组织的到非洲的一...</p> re_movie = r'<li><a href="(.+"_blank" title="(.+"><img.+?</li>' p = re.compile(re_movie, re.DOTALL) movies = p.findall(html) if movies: conn = pymongo.Connection('localhost', 27017) movie_db = conn.dianying playlinks = movie_db.playlinks #print movies for movie in movies: #print movie NUM += 1 print "%s : %d" % ("=" * 70, NUM) values = dict( movie_title = movie[1], movie_url = movie[0], movie_site = m_site, movie_type = m_type ) print values playlinks.insert(values) print "_" * 70 NUM += 1 print "%s : %d" % ("=" * 70, NUM) #else: # print "Not Find" def getmovieinfo(url): html = gethtml(url) soup = BeautifulSoup(html) #pack pack_album album_cover divs = soup.find_all('div', {'class' : 'pack pack_album album_cover'}) #print divs[0] #<a href="http://www.tudou.com/albumplay/9NyofXc_lHI/32JqhiKJykI.html" target="new" title="《血滴子》独家纪录片" wl="1"> </a> re_info = r'<a href="(.+"new" title="(.+".+"> </a>' p_info = re.compile(re_info, re.DOTALL) m_info = p_info.findall(str(divs[0])) if m_info: return m_info else: print "Not find movie info" return m_info def insertdb(movieinfo): global conn movie_db = conn.dianying_at movies = movie_db.movies movies.insert(movieinfo) if __name__ == "__main__": global conn tags_url = "http://v.qq.com/list/1_-1_-1_-1_1_0_0_20_0_-1_0.html" #print tags_url tags_html = gethtml(tags_url) #print tags_html tag_urls = gettags(tags_html) #print tag_urls for url in tag_urls.items(): print str(url[1]).encode('utf-8') #,url[0] maxpage = int(get_pages(str(url[1]).encode('utf-8'))) print maxpage for x in range(0, maxpage): #http://v.qq.com/list/1_0_-1_-1_1_0_0_20_0_-1_0.html m_url = str(url[1]).replace('0_20_0_-1_0.html', '') movie_url = "%s%d_20_0_-1_0.html" % (m_url, x) print movie_url movie_html = gethtml(movie_url.encode('utf-8')) #print movie_html getmovielist(movie_html) time.sleep(0.1)
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