diff --git a/backend/SearchEpc.py b/backend/SearchEpc.py
index 26682044..3bd2c84e 100644
--- a/backend/SearchEpc.py
+++ b/backend/SearchEpc.py
@@ -2,6 +2,7 @@ import os
 import time
 from epc_api.client import EpcClient
 from utils.logger import setup_logger
+from typing import List
 
 logger = setup_logger()
 
@@ -105,3 +106,45 @@ class SearchEpc:
                         "message": "Could not retrieve EPC data",
                         "error": str(e)
                     }
+
+    def retrieve(self):
+
+        """
+        Given a successful search, this method will format the data and return it
+        :return:
+        """
+
+        if self.data is None:
+            raise ValueError("data is missing, run search first")
+
+        rows = self.data["rows"]
+
+        # We perform some checks on the rows
+        # Firstly, we should only have 1 urpn so if we have multiple, we'll need to filter down the
+        # property further
+        uprns = {r["uprn"] for r in rows}
+
+        if len(uprns) != 1:
+            raise NotImplementedError("More than one unique UPRN, need to handle this case")
+
+        # We now check for a full sap epc:
+        full_sap_epc = [r for r in rows if r["transaction-type"] == "new dwelling"]
+        full_sap_epc = full_sap_epc[0] if full_sap_epc else {}
+
+        # Finally, we identify the newest epc and the rest, and then return
+        newest_epc, older_epcs = self.filter_newest_epc(list_of_epcs=rows)
+
+        return newest_epc, older_epcs
+
+    @staticmethod
+    def filter_newest_epc(list_of_epcs: List):
+        newest_response = [
+            r for r in list_of_epcs if
+            r["lodgement-datetime"] == max([x["lodgement-datetime"] for x in list_of_epcs])
+        ]
+        if len(newest_response) > 1:
+            raise Exception("More than one result found for this address - investigate me")
+
+        older_epcs = [epc for epc in ["rows"] if epc["lmk-key"] != newest_response[0]["lmk-key"]]
+
+        return newest_response[0], older_epcs
diff --git a/etl/eligibility/MeasureSuitibility.py b/etl/eligibility/MeasureSuitibility.py
new file mode 100644
index 00000000..a9368f67
--- /dev/null
+++ b/etl/eligibility/MeasureSuitibility.py
@@ -0,0 +1,20 @@
+class MeasureSuitibility:
+    """
+    Given the epc data about a property, this class holds the logic for determining if the home
+    is eligible for a specific retrofit measure.
+
+    For example, this could be whether the loft has insulation below a standardised threshold, or
+    if it has an empty cavity
+    """
+
+    # If the loft has less than 100mm of insulation, we classify the home has needing loft insulation
+    LOFT_INSULATION_THRESHOLD = 100
+
+    def __init__(self, epc, cleaned):
+        self.epc = epc
+        self.cleaned = cleaned
+
+        walls_description = self.epc["walls-description"]
+        # Get the cleaned version of the description
+
+    # def loft_insulation(self):
diff --git a/etl/eligibility/ha_15_32/app.py b/etl/eligibility/ha_15_32/app.py
index d037d610..34204aad 100644
--- a/etl/eligibility/ha_15_32/app.py
+++ b/etl/eligibility/ha_15_32/app.py
@@ -4,11 +4,15 @@ used by the Warmfront team, to identify which properties are eligible for ECO4 a
 work is being done in December 2023, prior to completion of acquisition
 """
 from pathlib import Path
+from tqdm import tqdm
 import pandas as pd
 import numpy as np
+import msgpack
 from utils.logger import setup_logger
+from utils.s3 import read_from_s3
 from dotenv import load_dotenv
 from backend.SearchEpc import SearchEpc
+from backend.Property import Property
 
 ENV_FILE = Path(__file__).parent / "etl" / "eligibility" / "ha_15_32" / ".env"
 
@@ -321,3 +325,44 @@ def app():
 
     ha32, _ = marge_ha_32(asset_list=ha32_asset_list, identified_addresses=ha32_identified_addresses)
     ha15, _ = merge_ha_15(asset_list=ha15_asset_list, identified_addresses=ha15_identified_addresses)
+
+    ha32["row_id"] = ["h32" + str(i) for i in range(0, len(ha32))]
+    ha15["row_id"] = ["h15" + str(i) for i in range(0, len(ha15))]
+
+    cleaned = read_from_s3(
+        s3_file_name="cleaned_epc_data/cleaned.bson",
+        bucket_name="retrofit-data-dev"
+    )
+    cleaned = msgpack.unpackb(cleaned, raw=False)
+
+    # We want to retrieve EPCs for every single property
+
+    ha32_scoring_data = []
+    for _, house in tqdm(ha32.iterrows(), total=len(ha32)):
+        searcher = SearchEpc(
+            address1=" ".join([house["No."], house["Address"]]),
+            postcode=house["Postcode"]
+        )
+
+        searcher.search()
+
+        newest_epc, older_epcs = searcher.retrieve()
+        # We also want to get the penultimate epc
+        penultimate_epc, _ = searcher.filter_newest_epc(older_epcs)
+
+        from etl.eligibility.MeasureSuitibility import MeasureSuitibility
+        suitability = MeasureSuitibility(
+            epc=newest_epc, cleaned=cleaned
+        )
+
+        from pprint import pprint
+        len(searcher.data["rows"])
+
+        # TODO: Integegrate SearchEPC into the Property class
+        p = Property(
+            id=house["row_id"],
+            postcode=house["postcode"],
+            address1=house["address1"],
+            epc_client=None,
+            data=searcher.data
+        )