diff --git a/scan-batch-dir b/scan-batch-dir
index f474a2e..f35839c 100755
--- a/scan-batch-dir
+++ b/scan-batch-dir
@@ -159,30 +159,39 @@ def read_google_sheet(spreadsheet_id: str, sheet_name="Sheet1", credentials_file
         data = sheet.get('values', [])
 
         if not data:
-            logger.warn(f"read_google_sheet - No data found in the specified worksheet.")
+            logger.warning(f"read_google_sheet - No data found in the specified worksheet.")
             print(f"No data found in the specified worksheet.")
 
             # Return empty DataFrame
             return pd.DataFrame()
 
-        else:
-            logger.info(f"read_google_sheet - Read of Google Sheet Successful.")
-            print(f"Read of Google Sheet Successful.")
+        # Find the true max width across ALL rows (including the header),
+        # since the API silently drops trailing empty cells from every row.
+        max_columns = max(len(row) for row in data)
 
-            # Convert to DataFrame
-            # First row as headers, rest as data
-            headers = data[0]
-            rows = data[1:] if len(data) > 1 else []
+        # Pad every row (including the header row) to the full width.
+        fill_value = None
+        padded_data = [row + [fill_value] * (max_columns - len(row)) for row in data]
 
-            # Pad rows with fewer columns with fill_value
-            fill_value = None
-            max_columns = len(headers)
-            padded_rows = [row + [fill_value] * (max_columns - len(row)) for row in rows]
+        headers = padded_data[0]
+        rows    = padded_data[1:] if len(padded_data) > 1 else []
+        
+        logger.info(f"read_google_sheet - Read of Google Sheet Successful.")
+        print(f"Read of Google Sheet Successful.")
+
+        # If any header cell is None/empty after padding, give it a placeholder
+        # name so the DataFrame columns are always unique and non-null.
+        headers = [
+            col if col not in (None, "") else f"Unnamed_{i}"
+            for i, col in enumerate(headers)
+        ]
 
-            # Create DataFrame
-            df = pd.DataFrame(padded_rows, columns=headers)
+        # Create DataFrame
+        df = pd.DataFrame(padded_rows, columns=headers)
 
-            return df
+        logger.info(f"read_google_sheet - Read of Google Sheet Successful.")
+        print(f"Read of Google Sheet Successful.")
+        return df
 
     except Exception as e:
         print(f"Error accessing Google Sheet: {str(e)}")