diff --git a/etl/route_march_data_pull/app.py b/etl/route_march_data_pull/app.py
index 11dd19b8..3c8cfa31 100644
--- a/etl/route_march_data_pull/app.py
+++ b/etl/route_march_data_pull/app.py
@@ -21,7 +21,7 @@ load_dotenv(dotenv_path="backend/.env")
 EPC_AUTH_TOKEN = os.getenv("EPC_AUTH_TOKEN")
 
 
-def get_data(asset_list, fulladdress_column, address1_column, postcode_column):
+def get_data(asset_list, fulladdress_column, address1_column, postcode_column, manual_uprn_map):
     epc_data = []
     errors = []
     no_epc = []
@@ -34,6 +34,7 @@ def get_data(asset_list, fulladdress_column, address1_column, postcode_column):
             house_no = SearchEpc.get_house_number(address=str(house_number), postcode=postcode)
             if house_no is None:
                 house_no = house_number
+            uprn = manual_uprn_map.get(full_address, None)
 
             searcher = SearchEpc(
                 address1=str(house_no),
@@ -43,7 +44,8 @@ def get_data(asset_list, fulladdress_column, address1_column, postcode_column):
                 property_type=None,
                 fast=True,
                 full_address=full_address,
-                max_retries=5
+                max_retries=5,
+                uprn=uprn
             )
             # Force the skipping of estimating the EPC
             searcher.ordnance_survey_client.property_type = None
@@ -52,7 +54,7 @@ def get_data(asset_list, fulladdress_column, address1_column, postcode_column):
             searcher.find_property(skip_os=True)
 
             # Check if we have a flat or appartment
-            if searcher.newest_epc is None:
+            if searcher.newest_epc is None and uprn is None:
                 # Try again:
                 if SearchEpc.get_house_number(address=str(house_number), postcode=postcode) is None:
                     # Backup
@@ -161,6 +163,13 @@ def app():
     ADDRESS1_METHOD = "first_two_words"
     ADDRESS_COLS_TO_CONCAT = ["House No", "Street", "District"]
 
+    # Maps addresses to uprn in problematic cases
+    MANUAL_UPRN_MAP = {
+        "1 Ivy Court, The Gardens, Erdington, Birmingham": 100071442178,
+        "8 Ivy Court, The Gardens, Erdington, Birmingham": 10033393299,
+        "7 Ivy Court, The Gardens, Erdington, Birmingham": 100071442184,
+    }
+
     asset_list = pd.read_excel(os.path.join(DATA_FOLDER, DATA_FILENAME), header=0, sheet_name=SHEET_NAME)
     asset_list = asset_list[~pd.isnull(asset_list[POSTCODE_COLUMN])].reset_index()
     asset_list["row_id"] = asset_list.index
@@ -193,7 +202,8 @@ def app():
         asset_list=asset_list,
         fulladdress_column=FULLADDRESS_COLUMN,
         address1_column=ADDRESS1_COLUMN,
-        postcode_column=POSTCODE_COLUMN
+        postcode_column=POSTCODE_COLUMN,
+        manual_uprn_map=MANUAL_UPRN_MAP
     )
 
     # We now retrieve any failed properties