From 21804923a59c3c903c4d6df347be0a59daf229ea Mon Sep 17 00:00:00 2001
From: spbeach46 <spbeacg46@gmail.com>
Date: Wed, 30 Sep 2020 23:50:36 -0700
Subject: [PATCH] constructing dataframe from json semi-manually

---
 shopping_test.py | 10 +++++++++-
 1 file changed, 9 insertions(+), 1 deletion(-)

diff --git a/shopping_test.py b/shopping_test.py
index 13145d9..862bccf 100644
--- a/shopping_test.py
+++ b/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.