diff --git a/ebay_api.py b/ebay_api.py
index 9e82d96..6379fcc 100644
--- a/ebay_api.py
+++ b/ebay_api.py
@@ -11,7 +11,7 @@ class FindingApi:
             'findItemsByProduct'
             ][service]
         self.pageNumber = list(range(1, pageNumber)) # 64 pages is recommended
-        # this will give equal weights to cats given call restraints
+        # this will give equal weights to cats given call constraints
 
     # departments = ["3034","93427"] (womens and mens)
     def get_data(self):
@@ -42,16 +42,19 @@ class FindingApi:
         '''
         data = self.get_data()
         itemid_results_list = []
+
         try:# TODO run pdb here to see how to extract itemId before update_df
             training = pd.read_csv('training.csv')
             for item in data['findItemsByCategoryResponse'][0]['searchResult'][0]['item']:
                 if (item not in training.values) and (item not in itemid_results_list):
                     itemid_results_list.append(item['itemId'][0]) # itemId
                     # values are in lists for some reason
+
         except (pd.errors.EmptyDataError, FileNotFoundError):
             for item in data['findItemsByCategoryResponse'][0]['searchResult'][0]['item']:
-                if (item not in training.values) and (item not in itemid_results_list):
+                if item not in itemid_results_list:
                     itemid_results_list.append(item['itemId'][0])
+
         item_id_results = [','.join(itemid_results_list[n:n+20]) for n in list(range(0,
             len(itemid_results_list), 20))]
 
@@ -98,7 +101,7 @@ class CurateData:
             # TODO Also append itemId and value to the dictionary somewhere
 
             nvl_dict = dict(zip(names, values))
-            data.update(nvl_dict)
+            data.update(nvl_dict) # TODO this changes iterable so you get error
         df = pd.json_normalize(data)
         df.to_csv('training.csv', mode='a')