title: Scraping html WITHOUT uniquie identifiers using python
body: <p>I would like to design an algorithm using python that scrapes thousands of pages like <a href="http://www.puntingform.com.au/form-guide/horses/regal-acclaim/" rel="nofollow">this one</a> and <a href="http://www.puntingform.com.au/form-guide/horse-jockey/b-cross/" rel="nofollow">this one</a>, gathers all the data and inserts it into a MySQL database. The script will be run on a weekly or bi-weekly basis to update the database of any new information added to each individual page.</p>
  
  <p>Ideally I would like a scraper that is easy to work with for table structured data but also data that does not have unique identifiers (ie. id and classes attributes).</p>
  
  <p>Which scraper add-on should I use? <a href="http://www.crummy.com/software/BeautifulSoup/" rel="nofollow">BeautifulSoup</a>, <a href="http://scrapy.org/" rel="nofollow">Scrapy</a> or <a href="http://wwwsearch.sourceforge.net/mechanize/" rel="nofollow">Mechanize</a>?</p>
  
  <p>Are there any particular tutorials/books I should be looking at for this desired result?</p>
  
  <p>In the long-run I will be implementing a mobile app that works with all this data through querying the database.</p>