text: from copy import deepcopy
  
  from readability import Document
  
  from .abstract_extractor import AbstractExtractor
  from ..article_candidate import ArticleCandidate
  
  
  class ReadabilityExtractor(AbstractExtractor):
      """This class implements Readability as an article extractor. Readability is
      a subclass of Extractors and newspaper.Article.
  
      """
  
      def __init__(self):
          self.name = "readability"
  
      def extract(self, item):
          """Creates an readability document and returns an ArticleCandidate containing article title and text.
  
          :param item: A NewscrawlerItem to parse.
          :return: ArticleCandidate containing the recovered article data.
          """
  
          doc = Document(deepcopy(item['spider_response'].body))
          description = doc.summary()
  
          article_candidate = ArticleCandidate()
          article_candidate.extractor = self._name
          article_candidate.title = doc.short_title()
          article_candidate.description = description
          article_candidate.text = self._text(item)
          article_candidate.topimage = self._topimage(item)
          article_candidate.author = self._author(item)
          article_candidate.publish_date = self._publish_date(item)
          article_candidate.language = self._language(item)
  
          return article_candidate
  