code: def parse_results(fields, data):
      
      master = []
  
      for record in data['records']:  # for each 'record' in response
          row = [None] * len(fields)  # create null list the length of number of columns
          for obj, value in record.iteritems():  # for each obj in record
              if not isinstance(value, (dict, list, tuple)):  # if not data structure
                  if obj in fields:
                      row[fields.index(obj)] = ensure_utf(value)
  
              elif isinstance(value, dict) and obj != 'attributes':  # traverse down into object
                  path = obj
                  _traverse_results(value, fields, row, path)
  
          master.append(row)
      return master
docs: Traverses ordered dictionary, calls _traverse_results() to recursively read into the dictionary depth of data