本文实例讲述了基于scrapy实现的简单蜘蛛采集程序。分享给大家供大家参考。具体如下：
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# Standard Python library imports# 3rd party importsfrom scrapy.contrib.spiders import CrawlSpider, Rulefrom scrapy.contrib.linkextractors.sgml import SgmlLinkExtractorfrom scrapy.selector import HtmlXPathSelector# My importsfrom poetry_analysis.items import PoetryAnalysisItemHTML_FILE_NAME = r'.+\.html'class PoetryParser(object): """ Provides common parsing method for poems formatted this one specific way. """ date_pattern = r'(\d{2} \w{3,9} \d{4})' def parse_poem(self, response): hxs = HtmlXPathSelector(response) item = PoetryAnalysisItem() # All poetry text is in pre tags text = hxs.select('//pre/text()').extract() item['text'] = ''.join(text) item['url'] = response.url # head/title contains title - a poem by author title_text = hxs.select('//head/title/text()').extract()[0] item['title'], item['author'] = title_text.split(' - ') item['author'] = item['author'].replace('a poem by', '') for key in ['title', 'author']: item[key] = item[key].strip() item['date'] = hxs.select("//p[@class='small']/text()").re(date_pattern) return itemclass PoetrySpider(CrawlSpider, PoetryParser): name = 'example.com_poetry' allowed_domains = ['www.example.com'] root_path = 'someuser/poetry/' start_urls = ['http://www.example.com/someuser/poetry/recent/', 'http://www.example.com/someuser/poetry/less_recent/'] rules = [Rule(SgmlLinkExtractor(allow=[start_urls[0] + HTML_FILE_NAME]), callback='parse_poem'), Rule(SgmlLinkExtractor(allow=[start_urls[1] + HTML_FILE_NAME]), callback='parse_poem')] |
希望本文所述对大家的Python程序设计有所帮助。
