diff --git a/api/log.txt b/api/log.txt
new file mode 100644
index 000000000..4da6b64c1
--- /dev/null
+++ b/api/log.txt
@@ -0,0 +1,14 @@
+                                   _di_surrogate_id  ... thematiques
+0      agefiph-c7f4be8b-309e-4a6a-b562-c4f7f3bb3c5c  ...  [handicap]
+1                            france-travail-ARA0014  ...        None
+2                            france-travail-ARA0018  ...        None
+3                            france-travail-ARA0021  ...        None
+4                            france-travail-ARA0024  ...        None
+...                                             ...  ...         ...
+23301                                soliguide-9981  ...        None
+23302                                soliguide-9983  ...        None
+23303                                soliguide-9984  ...        None
+23304                                soliguide-9995  ...        None
+23305                                soliguide-9997  ...        None
+
+[23306 rows x 29 columns]
diff --git a/api/src/data_inclusion/api/inclusion_data/commands.py b/api/src/data_inclusion/api/inclusion_data/commands.py
index f34ca8c08..9dafca365 100644
--- a/api/src/data_inclusion/api/inclusion_data/commands.py
+++ b/api/src/data_inclusion/api/inclusion_data/commands.py
@@ -10,11 +10,10 @@
 from furl import furl
 from tqdm import tqdm
 
-from data_inclusion import schema
 from data_inclusion.api.code_officiel_geo import constants
 from data_inclusion.api.config import settings
 from data_inclusion.api.core import db
-from data_inclusion.api.inclusion_data import models
+from data_inclusion.api.inclusion_data import models, schemas
 
 logger = logging.getLogger(__name__)
 
@@ -95,6 +94,9 @@ def validate_df(df: pd.DataFrame, model_schema) -> pd.DataFrame:
 
 
 def log_errors(errors_df: pd.DataFrame):
+    if errors_df.empty:
+        logger.info("no error")
+        return
     info_str = str(
         errors_df.groupby(["source", "errors.loc"])["_di_surrogate_id"]
         .count()
@@ -129,8 +131,8 @@ def load_inclusion_data():
         code_insee=services_df.code_insee.apply(clean_up_code_insee)
     )
 
-    structure_errors_df = validate_df(structures_df, model_schema=schema.Structure)
-    service_errors_df = validate_df(services_df, model_schema=schema.Service)
+    structure_errors_df = validate_df(structures_df, model_schema=schemas.Structure)
+    service_errors_df = validate_df(services_df, model_schema=schemas.Service)
 
     logger.info("Structure validation errors:")
     log_errors(structure_errors_df)
@@ -138,15 +140,17 @@ def load_inclusion_data():
     log_errors(service_errors_df)
 
     # exclude invalid data
-    structures_df = structures_df[
-        ~structures_df._di_surrogate_id.isin(structure_errors_df._di_surrogate_id)
-    ]
-    services_df = services_df[
-        ~services_df._di_surrogate_id.isin(service_errors_df._di_surrogate_id)
-        & ~services_df._di_structure_surrogate_id.isin(
-            structure_errors_df._di_surrogate_id
-        )
-    ]
+    if not structure_errors_df.empty:
+        structures_df = structures_df[
+            ~structures_df._di_surrogate_id.isin(structure_errors_df._di_surrogate_id)
+        ]
+    if not service_errors_df.empty:
+        services_df = services_df[
+            ~services_df._di_surrogate_id.isin(service_errors_df._di_surrogate_id)
+            & ~services_df._di_structure_surrogate_id.isin(
+                structure_errors_df._di_surrogate_id
+            )
+        ]
 
     structure_data_list = structures_df.to_dict(orient="records")
     service_data_list = services_df.to_dict(orient="records")