title: How do filter out escape sequences while scraping tables using css selectors?
body: <p>I am trying to scrape a table using CSS Selectors in Scrapy. The method I used is scraping row by row into a single scrapy.Field() in an item object.</p>
  
  <p>However, the data scraped contains a "\n\t\t" element between every other element in the table. How do I remove this in the scraping process. I can do post-processing on the data but I would like to understand what is going on.</p>
  
  <p>My parse method:</p>
  
  <pre><code> def parse_product(self, response):
  
      l = ItemLoader(item = KdramaItem(),
                     response = response,
                     )
      l.add_value('url', response.meta['source_url'])
      table_loader = l.nested_css('table')
      table_loader.add_css('table', 'tr ::text')
  
      yield l.load_item()
  </code></pre>
  
  <p>Part of output:</p>
  
  <pre><code>"url": ["http://www.koreandrama.org/angels-last-mission-love/"], "table": ["\n\t\t", "Date", "\n\t\t", "Ep", "\n\t\t", "TNmS", "\n\t\t", "TNmS", "\n\t\t", "AGB", "\n\t\t", "AGB", "\n\t", "\n\t\t", "\u00a0", "\n\t\t", "\u00a0", "\n\t\t", "Nationwide", "\n\t\t", "Seoul", "\n\t\t", "Nationwide", "\n\t\t", "Seoul", "\n\t", "\n\t\t",
  </code></pre>