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Python爬豆瓣电影实例
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文件结构
html_downloader.py - 下载网页html内容 #!/usr/bin/python # -*- coding: UTF-8 -*- import urllib2 class HtmlDownloader(object): def downlod(self, url): if url is None: return None response = urllib2.urlopen(url) if response.getcode() != 200: return None return response.read()html_outputer.py - 输出结果到文件中 #!/usr/bin/python # -*- coding: UTF-8 -*- class HtmlOutputer(object): def collect_data(self, movie_data): if movie_data is None: return fout = open('output.html', 'a+') for data in movie_data: print data['name'] + '|', data['rate'] + '|', data['actor'], '\n' fout.write('%s,' % data['name'].encode('utf-8')) fout.write('%s,' % data['rate']) fout.write('%s\n' % data['actor'].encode('utf-8')) fout.close()html_parser.py: 解析器：解析html的dom树 #!/usr/bin/python # -*- coding: UTF-8 -*- from bs4 import BeautifulSoup class HtmlParser(object): def __init__(self): pass def parser_html(self, cnt): if cnt is None: return soup = BeautifulSoup(cnt, 'html.parser', from_encoding='utf-8') # movie_name, movie_desc, movie_rate = return self.get_movie_names(soup) def get_movie_names(self, soup): movie_data = [] movie_all = soup.find('div', class_='article').find_next('table').find_next_sibling('div').find_next_sibling('div').find_all('table') count = 1 for movie_one in movie_all: movie_data.append(self.get_movie_name(movie_one)) # if count > 2: # break count += 1 return movie_data def get_movie_name(self, cnt): info = {} soup = BeautifulSoup(str(cnt), 'html.parser', from_encoding='utf-8') movie_one = soup.find('tr', class_='item').find_next('td').find_next_sibling('td').find('div', class_='pl2') info['name'] = movie_one.find('a').get_text().replace("\n", "").replace(" ", "") info['actor'] = movie_one.find('p', class_='pl').get_text().replace("\n", "").replace(" ", "") info['rate'] = movie_one.find('div', class_='star clearfix').find('span', class_='rating_nums').get_text() return infospider_main.py - 主函数 #!/usr/bin/python # -*- coding: UTF-8 -*- import html_parser, html_outputer, html_downloader class SpiderMain(object): def __init__(self): self.parser = html_parser.HtmlParser() self.outputer = html_outputer.HtmlOutputer() self.downloader = html_downloader.HtmlDownloader() def craw(self, url): html_cnt = self.downloader.downlod(url) movie_data = self.parser.parser_html(html_cnt) self.outputer.collect_data(movie_data) if __name__ == '__main__': url = 'https://movie.douban.com/tag/2017?start=100&type=T' spider = SpiderMain() spider.craw(url)综述 其实就是使用了urllib2和BeautifulSoup库，没啥好说的，你也可以直接改url，然后更改html_parser.py文件来满足你自己的爬虫需求。当前也可以更改html_outputer.py来定义保存格式，目前是csv。 您可能感兴趣的文章:实践Python的爬虫框架Scrapy来抓取豆瓣电影TOP250编写Python爬虫抓取豆瓣电影TOP100及用户头像的方法python获取豆瓣电影简介代码分享python正则匹配抓取豆瓣电影链接和评论代码分享 |
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