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：

# Standard Python library imports
# 3rd party imports
from scrapy.contrib.spiders import CrawlSpider, Rule
from scrapy.contrib.linkextractors.sgml import SgmlLinkExtractor
from scrapy.selector import HtmlXPathSelector
# My imports
from poetry_analysis.items import PoetryAnalysisItem
HTML_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 item
class 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。