diff --git a/scripts/artifacts/parsecdCache.py b/scripts/artifacts/parsecdCache.py
index 81f9fcb4c..9182d01db 100644
--- a/scripts/artifacts/parsecdCache.py
+++ b/scripts/artifacts/parsecdCache.py
@@ -8,8 +8,8 @@
         "requirements": "none",
         "category": "Spotlight Searches",
         "notes": "",
-        "paths": ('**/EngagedCompletions/Cache.db*'),
-        "output_types": "standard"
+        "paths": ("**/EngagedCompletions/Cache.db*"),
+        "output_types": "standard",
     }
 }
 
@@ -17,40 +17,62 @@
 from scripts.ilapfuncs import open_sqlite_db_readonly, convert_ts_human_to_utc
 from scripts.ilapfuncs import artifact_processor, convert_utc_human_to_timezone
 
+
 @artifact_processor
 def get_parseCDCache(files_found, report_folder, seeker, wrap_text, timezone_offset):
-
     data_list = []
-    report_file = 'Unknown'
+    report_file = "Unknown"
+    has_score = False
     for file_found in files_found:
         file_found = str(file_found)
-        if not file_found.endswith('.db'):
-            continue # Skip all other files
+        if not file_found.endswith(".db"):
+            continue  # Skip all other files
         report_file = file_found
         db = open_sqlite_db_readonly(file_found)
 
         cursor = db.cursor()
-        cursor.execute('''
-        select 
-            datetime(engagement_date + 978307200,'unixepoch') as engagement_date, 
-            input, 
-            completion, 
-            transformed, 
-            score
-        FROM completion_cache_engagement
-        ''')
 
+        cursor.execute("pragma table_info(completion_cache_engagement)")
+        cols = [row[1] for row in cursor.fetchall()]
+        has_score = "score" in cols
+
+        select_cols = [
+            "datetime(engagement_date + 978307200,'unixepoch') as engagement_date",
+            "input",
+            "completion",
+            "transformed",
+        ]
+        if has_score:
+            select_cols.append("score")
+
+        qry = f"""
+            select {", ".join(select_cols)}
+            from completion_cache_engagement
+        """
+
+        cursor.execute(qry)
         all_rows = cursor.fetchall()
 
         for row in all_rows:
-            timestamp = row[0]
-            timestamp = convert_ts_human_to_utc(timestamp)
+            timestamp = convert_ts_human_to_utc(row[0])
             timestamp = convert_utc_human_to_timezone(timestamp, timezone_offset)
 
-            data_list.append((timestamp, row[1], row[2], row[3], row[4]))
+            # Save data to temp variable to check whether has "score" column or no
+            temp = [timestamp, row[1], row[2], row[3]]
+            if has_score:
+                temp.append(row[4])
+
+            data_list.append(tuple(temp))
 
         db.close()
 
-    data_headers = (('Engagement Date', 'datetime'), 'Input', 'Completion', 'Transformed', 'Score')
+    data_headers = [
+        ("Engagement Date", "datetime"),
+        "Input",
+        "Completion",
+        "Transformed",
+    ]
+    if has_score:
+        data_headers.append("Score")
 
-    return data_headers, data_list, report_file
+    return tuple(data_headers), data_list, report_file