diff --git a/shopping_api.py b/shopping_api.py
index 5591078..707a653 100644
--- a/shopping_api.py
+++ b/shopping_api.py
@@ -14,9 +14,9 @@ class FindingApi:
         ]
     pageNumber = list(range(1, 63))
 
-    # departments = ["3034","93427"]
+    # departments = ["3034","93427"] (womens and mens)
 
-    def get_ids(self):
+    def get_ids_from_cats():
         itemid_results_list = []
         for category_id in cat_list:
             for i in FindingApi.pageNumber:
@@ -29,20 +29,17 @@ class FindingApi:
                     "paginationInput.entriesPerPage":"100",
                     "paginationInput.PageNumber":FindingApi.pageNumber[i]
                     }
-                # extract item id here for piping into shopping_test.py
-
                 response = requests.get("https://svcs.ebay.com/services/search/FindingService/v1", params=params)
                 data = response.json()
                 for item in data['findItemsByCategoryResponse'][0]['searchResult'[0]['item']:
                     itemid_results_list.append(item['itemId']) # above this line you will have to check whether the id exists in the pandas dataframe before you go on to create your list for the shopping
                     #api: check df --> if does not exist, append itemId to itemid_results_list --> with curated list, make a list of 20-itemId lists. 
-        item_id_results = list(map(str, itemid_results_list))
-        item_id_results = ','.join(item_id_results) # you will have to split this into 20 item lists strings to feed into ItemID param. Consider making a list of str lists.
+        item_id_results = ','.join(item_id_results_list) # you will have to split this into 20 item lists strings to feed into ItemID param. Consider making a list of str lists.
         return item_id_results
 
 class ShoppingApi:
 
-    def get_item(self):
+    def get_item_from_findItemsByCategory():
 
         params = {
             "callname":"GetMultipleItems",