constructing dataframe from json semi-manually

shopping_test.py

@@ -1,7 +1,7 @@
 import requests
 import json
 from bs4 import BeautifulSoup as b
-
+import pandas as pd
 
 params = {
     "callname":"GetMultipleItems",
@@ -16,4 +16,12 @@ response = requests.get("https://open.api.ebay.com/shopping?", params=params) #
 data = response.json()
 pretty_data = json.dumps(data, indent=2)
 
+df = pd.read_json(data, 'Item')
+nvl = df.iloc[0]['ItemSpecifics.NameValueList']
+nvl_dict = {}
+for item in nvl:
+    nvl['Name']
 # departments = ["3034","93427"]
+# Best plan of action is probably json-->pandas df. You can decide how to clean later, but it 
+# will prolly be easier if you clean in pandas because you can drop columns easily that you don't 
+# need. Figure out how to "flatten" your json data into the df first.