diff --git a/ebay_api_test.py b/ebay_api_test.py
deleted file mode 100644
index 95e3697..0000000
--- a/ebay_api_test.py
+++ /dev/null
@@ -1,35 +0,0 @@
-import requests
-import json
-from bs4 import BeautifulSoup as b
-import pandas as p
-
-# keywords = input('keyword search: ')
-
-with open('cat_list.txt') as jf:
-    cat_list = json.load(jf)
-finding_service = ['findItemsAdvanced', 'findCompletedItems', 'findItemsByKeywords', 'findItemsIneBayStores', 'findItemsByCategory', 'findItemsByProduct']
-
-pageNumber = list(range(1,101))
-
-# departments = ["3034","93427"]
-
-itemid_results_list = []
-for categoryID in cat_list[0:2]:
-    params = {
-        "OPERATION-NAME":finding_service[4],
-        "SECURITY-APPNAME":"scottbea-xlister-PRD-6796e0ff6-14862949",
-        "SERVICE-VERSION":"1.13.0",
-        "RESPONSE-DATA-FORMAT":"JSON",
-        "categoryId":categoryID ,
-        "paginationInput.entriesPerPage":"100",
-        "paginationInput.PageNumber":pageNumber[0]
-        }
-    # 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()
-    pretty_data = json.dumps(data, indent=2)
-# can use pandas.json_normalize(custom dict cobbled from respons.json())
-
-
-# Additional problem you will run into when getting labeled data is shoe types and features not in features, accents, styles, categories or subcategories.
diff --git a/shopping_test.py b/shopping_test.py
deleted file mode 100644
index fa7ccc8..0000000
--- a/shopping_test.py
+++ /dev/null
@@ -1,32 +0,0 @@
-import requests
-import json
-from bs4 import BeautifulSoup as b
-import pandas as pd
-
-params = {
-    "callname":"GetMultipleItems",
-    "appid":"scottbea-xlister-PRD-6796e0ff6-14862949",
-    "version":"671",
-    "responseencoding":"JSON",
-    "ItemID":'184228756721', # you pass in a list? If not then maybe a comma-separated
-    "IncludeSelector":"ItemSpecifics",
-    }
-
-response = requests.get("https://open.api.ebay.com/shopping?", params=params)
-data = response.json()
-pretty_data = json.dumps(data, indent=2)
-
-names = []
-values = []
-nvl = data['Item'][0]['ItemSpecifics']['NameValueList']
-for nvl_dict in nvl:
-    names.append(nvl_dict['Name'])
-    values.append(nvl_dict['Value'])
-nvl_dict = dict(zip(names, values))
-data.update(nvl_dict)
-df = pd.json_normalize(data)
-df.to_csv('big_data.csv')
-
-# to append items to the pandas dataframe/csv, use var = df.append(json/dict, ignore_index=True)
-# you will have to redefine var as a new dataframe everytime, too for some reason (I'm wondering
-# if this is a bug?).