diff --git a/backend/SearchEpc.py b/backend/SearchEpc.py
index b5ec8c46..e7e717ac 100644
--- a/backend/SearchEpc.py
+++ b/backend/SearchEpc.py
@@ -405,7 +405,8 @@ class SearchEpc:
             else:
                 raise ValueError("Multiple UPRNs found - investigate me")
 
-        uprn = uprns.pop() if uprns else None
+        # If we do not have a UPRN, we create one based on a hash of the address & postcoce
+        uprn = uprns.pop() if uprns else hash(self.address1 + self.postcode)
 
         if self.fast:
             return newest_epc, [], {}, "", "", None
diff --git a/etl/customers/eon/pilot_asset_list.py b/etl/customers/eon/pilot_asset_list.py
index 05e459cb..298b34ba 100644
--- a/etl/customers/eon/pilot_asset_list.py
+++ b/etl/customers/eon/pilot_asset_list.py
@@ -170,39 +170,39 @@ def app():
     # For each property, retrieve UPRN with from the Ordnance Survey API. To do this, I have created a free
     # trial with Ordnance Survey with my personal account as a temporary solution.
     # Let's just pull the full EPC data for this
-    asset_list_with_uprn = []
-    for row, property_meta in tqdm(raw_asset_list_base.iterrows(), total=raw_asset_list_base.shape[0]):
-        if row <= 104:
-            continue
-        time.sleep(1.1)
-        searcher = SearchEpc(
-            address1=property_meta["address"],
-            postcode=property_meta["postcode"],
-            auth_token=EPC_AUTH_TOKEN,
-            os_api_key=ORDNANCE_SURVEY_API_KEY,
-            full_address=", ".join([property_meta["address"], property_meta["postcode"]])
-        )
-
-        # Let's just find the UPRN
-        searcher.ordnance_survey_client.get_places_api()
-
-        uprn = searcher.ordnance_survey_client.most_relevant_result["UPRN"]
-
-        # searcher.find_property(skip_os=False)
-
-        asset_list_with_uprn.append(
-            {
-                **property_meta,
-                "uprn": uprn,
-            }
-        )
+    # asset_list_with_uprn = []
+    # for row, property_meta in tqdm(raw_asset_list_base.iterrows(), total=raw_asset_list_base.shape[0]):
+    #     if row <= 104:
+    #         continue
+    #     time.sleep(1.1)
+    #     searcher = SearchEpc(
+    #         address1=property_meta["address"],
+    #         postcode=property_meta["postcode"],
+    #         auth_token=EPC_AUTH_TOKEN,
+    #         os_api_key=ORDNANCE_SURVEY_API_KEY,
+    #         full_address=", ".join([property_meta["address"], property_meta["postcode"]])
+    #     )
+    #
+    #     # Let's just find the UPRN
+    #     searcher.ordnance_survey_client.get_places_api()
+    #
+    #     uprn = searcher.ordnance_survey_client.most_relevant_result["UPRN"]
+    #
+    #     # searcher.find_property(skip_os=False)
+    #
+    #     asset_list_with_uprn.append(
+    #         {
+    #             **property_meta,
+    #             "uprn": uprn,
+    #         }
+    #     )
 
     # Store this as a backup
     # import pandas as pd
     # asset_list_with_uprn_df = pd.DataFrame(asset_list_with_uprn)
     # asset_list_with_uprn_df.to_csv("eon_asset_list_with_uprn.csv", index=False)
     # Read in
-    # asset_list_with_uprn = pd.read_csv("eon_asset_list_with_uprn.csv").to_dict(orient="records")
+    asset_list_with_uprn = pd.read_csv("eon_asset_list_with_uprn.csv").to_dict(orient="records")
 
     # Store the asset list and create the portfolio payload
     asset_list_with_uprn_df = pd.DataFrame(asset_list_with_uprn)