Update to test scraper

copied code

scraper.py

@@ -1,24 +1,22 @@
-# This is a template for a Python scraper on morph.io (https://morph.io)
-# including some code snippets below that you should find helpful
+import urllib2
+from xml.dom.minidom import parseString
 
-# import scraperwiki
-# import lxml.html
-#
-# # Read in a page
-# html = scraperwiki.scrape("http://foo.com")
-#
-# # Find something on the page using css selectors
-# root = lxml.html.fromstring(html)
-# root.cssselect("div[align='left']")
-#
-# # Write out to the sqlite database using scraperwiki library
-# scraperwiki.sqlite.save(unique_keys=['name'], data={"name": "susan", "occupation": "software developer"})
-#
-# # An arbitrary query against the database
-# scraperwiki.sql.select("* from data where 'name'='peter'")
+def get_google_new_results( term, count ):
+    results = []
+    obj = parseString( urllib2.urlopen('http://news.google.com/news?q=%s&output=rss' % term).read() )
 
-# You don't have to do things with the ScraperWiki and lxml libraries.
-# You can use whatever libraries you want: https://morph.io/documentation/python
-# All that matters is that your final data is written to an SQLite database
-# called "data.sqlite" in the current working directory which has at least a table
-# called "data".
+    elements = obj.getElementsByTagName('title')[2:] # To get rid of unwanted title elements in XML doc    
+    links = obj.getElementsByTagName('link')[2:]
+    print links
+    for element in elements[:count]:
+        headline =  element.childNodes[0].data
+        for link in links:
+            url = link.childNodes[0].data.split('=')[-1]
+        newssearch = headline + ' -> ' + url
+        results.append( newssearch )
+
+    return results
+
+items = get_google_new_results( 'apple', 2 )
+for i,e in enumerate(items):
+    print '%d: %s' % (i+1,e,)