diff --git a/backend/src/dashboard/services/hubspot_client_async.py b/backend/src/dashboard/services/hubspot_client_async.py
index f8b8f45..0b52ae7 100644
--- a/backend/src/dashboard/services/hubspot_client_async.py
+++ b/backend/src/dashboard/services/hubspot_client_async.py
@@ -3,7 +3,6 @@ import asyncio
 from hubspot.crm.associations import ApiException
 import hubspot
 
-
 class HubSpotClientAsync:
     API_CONCURRENCY = asyncio.Semaphore(5)   # globally limit concurrency
     RATE_LIMIT_DELAY = 0.25                  # 4 requests/sec → safe
diff --git a/backend/src/dashboard/services/json_reader.py b/backend/src/dashboard/services/json_reader.py
index 6935cb4..03cc470 100644
--- a/backend/src/dashboard/services/json_reader.py
+++ b/backend/src/dashboard/services/json_reader.py
@@ -2,6 +2,10 @@ from pprint import pprint
 from collections import defaultdict
 import pandas as pd
 
+from enum import Enum
+
+class ProductType(Enum):
+    EMPTY_CAVITY_ECO_4 = "Empty Cavity - ECO4"
 
 
 
@@ -37,6 +41,7 @@ class jsonReader:
             if deals['attempts'] != []:
                 row = self._return_df_from_deal_info(deals, product_type)
                 rows.append(row)
+                break
 
         if rows:
             return pd.concat(rows, ignore_index=True)
@@ -45,16 +50,17 @@ class jsonReader:
 
     
     def _return_df_from_deal_info(self, deal, product_type):
-        print(deal)
-        data = {
-            "submission_date": deal.get("submission_date", None),
-            "expected_commencement_date": deal.get("expected_commencement_date", None),
-            "work_type": product_type,
-            "price": next(
-                    (item["price"] for item in deal["line_items"] if product_type in item["name"]),
-                    None
-                ) 
-        }
+        for attempts in deal["attempts"]:
+            data = {
+                "submission_date": deal.get("submission_date", None),
+                "expected_commencement_date": deal.get("expected_commencement_date", None),
+                "work_type": product_type,
+                "price": next(
+                        (item["price"] for item in deal["line_items"] if product_type in item["name"]),
+                        None
+                    ) 
+            }
+            
         return pd.DataFrame([data])
     
     def find_all_job_with_line_item(self):