diff --git a/pynsee/download/download_file.py b/pynsee/download/download_file.py
index 51164f0d..28cab40c 100644
--- a/pynsee/download/download_file.py
+++ b/pynsee/download/download_file.py
@@ -9,7 +9,7 @@
 
 
 @save_df(day_lapse_max=90)
-def download_file(id, variables=None, update=False, silent=False):
+def download_file(id, variables=None, update=False, silent=True):
     """User level function to download files from insee.fr
 
     Args:
diff --git a/pynsee/geodata/_get_geodata.py b/pynsee/geodata/_get_geodata.py
index 6821afb0..06869ab2 100644
--- a/pynsee/geodata/_get_geodata.py
+++ b/pynsee/geodata/_get_geodata.py
@@ -19,15 +19,24 @@
 from pynsee.geodata._geojson_parser import _geojson_parser
 
 from pynsee.utils.save_df import save_df
-from pynsee.utils.requests_params import _get_requests_headers, _get_requests_proxies
+from pynsee.utils.requests_params import (
+    _get_requests_headers,
+    _get_requests_proxies,
+)
 
 import logging
 
 logger = logging.getLogger(__name__)
 
+
 @save_df(day_lapse_max=90)
 def _get_geodata(
-    id, polygon=None, update=False, silent=False, crs="EPSG:3857", crsPolygon="EPSG:4326"
+    id,
+    polygon=None,
+    update=False,
+    silent=True,
+    crs="EPSG:3857",
+    crsPolygon="EPSG:4326",
 ):
     """Get geographical data with identifier and from IGN API
 
@@ -60,7 +69,7 @@ def _get_geodata(
     Version = "2.0.0"
 
     # make the query link for ign
-    #geoportail = "https://wxs.ign.fr/{}/geoportail".format(topic)
+    # geoportail = "https://wxs.ign.fr/{}/geoportail".format(topic)
     geoportail = f"https://data.geopf.fr/{service.lower()}/ows?"
     Service = "SERVICE=" + service + "&"
     version = "VERSION=" + Version + "&"
@@ -70,7 +79,7 @@ def _get_geodata(
 
     link0 = (
         geoportail
-        #+ "/wfs?"
+        # + "/wfs?"
         + Service
         + version
         + request
diff --git a/pynsee/geodata/get_geodata_list.py b/pynsee/geodata/get_geodata_list.py
index ee6285ca..0fe56eb9 100644
--- a/pynsee/geodata/get_geodata_list.py
+++ b/pynsee/geodata/get_geodata_list.py
@@ -7,8 +7,9 @@
 
 from pynsee.utils.save_df import save_df
 
+
 @save_df(day_lapse_max=90)
-def get_geodata_list(update=False, silent=False):
+def get_geodata_list(update=False, silent=True):
     """Get a list of geographical limits of French administrative areas from IGN API
 
     Args:
@@ -44,7 +45,9 @@ def get_geodata_list(update=False, silent=False):
         list_first_col = [
             col for col in data_full_list.columns if col in list_var
         ]
-        list_other_col = [col for col in data_full_list.columns if col not in list_first_col]
+        list_other_col = [
+            col for col in data_full_list.columns if col not in list_first_col
+        ]
 
         data_list = data_full_list[list_first_col + list_other_col]
         data_list = data_list.drop_duplicates().reset_index(drop=True)
diff --git a/pynsee/localdata/get_area_list.py b/pynsee/localdata/get_area_list.py
index 60c292e7..6db1704f 100644
--- a/pynsee/localdata/get_area_list.py
+++ b/pynsee/localdata/get_area_list.py
@@ -8,8 +8,9 @@
 from pynsee.utils._paste import _paste
 from pynsee.utils.save_df import save_df
 
+
 @save_df(day_lapse_max=90)
-def get_area_list(area=None, date=None, update=False, silent=False):
+def get_area_list(area=None, date=None, update=False, silent=True):
     """Get an exhaustive list of administrative areas : communes, departments, and urban, employment or functional areas
 
     Args:
diff --git a/pynsee/localdata/get_area_projection.py b/pynsee/localdata/get_area_projection.py
index a76685df..dcd94e06 100644
--- a/pynsee/localdata/get_area_projection.py
+++ b/pynsee/localdata/get_area_projection.py
@@ -10,6 +10,8 @@
 import logging
 
 logger = logging.getLogger(__name__)
+
+
 @lru_cache(maxsize=None)
 def _warning_get_area_projection():
     logger.info(
@@ -20,7 +22,11 @@ def _warning_get_area_projection():
 
 @save_df(day_lapse_max=90)
 def get_area_projection(
-    area: str, code: str, date: str, dateProjection: str = None
+    area: str,
+    code: str,
+    date: str,
+    dateProjection: str = None,
+    silent: bool = True,
 ):
     """
     Get data about the area (valid at given `date` datetime) projected
@@ -44,6 +50,8 @@ def get_area_projection(
             is supposed to be the current date (ie projection into today's
             value)
 
+        silent (bool, optional): Set to True, to disable messages printed in log info
+
     Examples:
         >>> from pynsee.localdata import get_area_projection
         >>> df = get_area_projection(
diff --git a/pynsee/localdata/get_ascending_area.py b/pynsee/localdata/get_ascending_area.py
index 9fb9ed04..db711915 100644
--- a/pynsee/localdata/get_ascending_area.py
+++ b/pynsee/localdata/get_ascending_area.py
@@ -15,6 +15,7 @@
 
 logger = logging.getLogger(__name__)
 
+
 @save_df(day_lapse_max=90)
 def get_ascending_area(
     area: str,
@@ -22,7 +23,7 @@ def get_ascending_area(
     date: str = None,
     type: str = None,
     update: bool = False,
-    silent: bool = False
+    silent: bool = True,
 ):
     """
     Get information about areas containing a given area
@@ -39,7 +40,7 @@ def get_ascending_area(
         update (bool): locally saved data is used by default. Trigger an update with update=True.
 
         silent (bool, optional): Set to True, to disable messages printed in log info
-        
+
     Examples:
         >>> from pynsee.localdata import get_ascending_area
         >>> df = get_ascending_area("commune", code='59350', date='2018-01-01')
@@ -62,7 +63,7 @@ def get_ascending_area(
 
     params_hash = ["get_ascending_area", area, code, date, type]
     params_hash = [x if x else "_" for x in params_hash]
-    
+
     INSEE_localdata_api_link = "https://api.insee.fr/metadonnees/V1/geo/"
 
     api_link = INSEE_localdata_api_link + area + f"/{code}/ascendants?"
@@ -75,10 +76,8 @@ def get_ascending_area(
 
     api_link = api_link + "&".join(params)
 
-    request = _request_insee(
-        api_url=api_link, file_format="application/json"
-    )
-    
+    request = _request_insee(api_url=api_link, file_format="application/json")
+
     try:
         data = request.json()
 
@@ -92,6 +91,6 @@ def get_ascending_area(
 
     except Exception:
         logger.error("No data found !")
-        data_final = pd.DataFrame()    
+        data_final = pd.DataFrame()
 
     return data_final
diff --git a/pynsee/localdata/get_descending_area.py b/pynsee/localdata/get_descending_area.py
index 21d634e4..782b81a8 100644
--- a/pynsee/localdata/get_descending_area.py
+++ b/pynsee/localdata/get_descending_area.py
@@ -12,8 +12,10 @@
 from pynsee.utils.save_df import save_df
 
 import logging
+
 logger = logging.getLogger(__name__)
 
+
 @save_df(day_lapse_max=90)
 def get_descending_area(
     area: str,
@@ -21,6 +23,7 @@ def get_descending_area(
     date: str = None,
     type: str = None,
     update: bool = False,
+    silent: bool = True,
 ):
     """
     Get information about areas contained in a given area
@@ -36,6 +39,8 @@ def get_descending_area(
 
         update (bool): locally saved data is used by default. Trigger an update with update=True.
 
+        silent (bool, optional): Set to True, to disable messages printed in log info
+
     Examples:
         >>> from pynsee.localdata import get_area_descending
         >>> df = get_descending_area("commune", code='59350', date='2018-01-01')
@@ -59,7 +64,7 @@ def get_descending_area(
 
     params_hash = ["get_descending_area", area, code, date, type]
     params_hash = [x if x else "_" for x in params_hash]
-    
+
     INSEE_localdata_api_link = "https://api.insee.fr/metadonnees/V1/geo/"
 
     api_link = INSEE_localdata_api_link + area + f"/{code}/descendants?"
@@ -72,9 +77,7 @@ def get_descending_area(
 
     api_link = api_link + "&".join(params)
 
-    request = _request_insee(
-        api_url=api_link, file_format="application/json"
-    )
+    request = _request_insee(api_url=api_link, file_format="application/json")
 
     try:
         data = request.json()
@@ -89,6 +92,6 @@ def get_descending_area(
 
     except Exception:
         logger.error("No data found !")
-        data_final = pd.DataFrame()    
+        data_final = pd.DataFrame()
 
     return data_final
diff --git a/pynsee/localdata/get_geo_list.py b/pynsee/localdata/get_geo_list.py
index 6f6e8ba1..fbed1025 100644
--- a/pynsee/localdata/get_geo_list.py
+++ b/pynsee/localdata/get_geo_list.py
@@ -13,8 +13,9 @@
 
 from pynsee.utils.save_df import save_df
 
+
 @save_df(day_lapse_max=90)
-def get_geo_list(geo=None, date=None, update=False, silent=False):
+def get_geo_list(geo=None, date=None, update=False, silent=True):
     """Get a list of French geographic areas (communes, departements, regions ...)
 
     Args:
@@ -179,16 +180,12 @@ def get_geo_list(geo=None, date=None, update=False, silent=False):
 
             for i in range(len(data_all.index)):
                 if pd.isna(data_all.loc[i, "TITLE_DEP1"]):
-                    data_all.loc[i, "CODE_DEP"] = data_all.loc[
-                        i, "code_dep2"
-                    ]
+                    data_all.loc[i, "CODE_DEP"] = data_all.loc[i, "code_dep2"]
                     data_all.loc[i, "TITLE_DEP"] = data_all.loc[
                         i, "TITLE_DEP2"
                     ]
                 else:
-                    data_all.loc[i, "CODE_DEP"] = data_all.loc[
-                        i, "code_dep1"
-                    ]
+                    data_all.loc[i, "CODE_DEP"] = data_all.loc[i, "code_dep1"]
                     data_all.loc[i, "TITLE_DEP"] = data_all.loc[
                         i, "TITLE_DEP1"
                     ]
diff --git a/pynsee/localdata/get_local_data.py b/pynsee/localdata/get_local_data.py
index c61f301a..546c8663 100644
--- a/pynsee/localdata/get_local_data.py
+++ b/pynsee/localdata/get_local_data.py
@@ -10,14 +10,18 @@
 import sys
 import datetime
 
-from pynsee.localdata._find_latest_local_dataset import _find_latest_local_dataset
+from pynsee.localdata._find_latest_local_dataset import (
+    _find_latest_local_dataset,
+)
 from pynsee.localdata._get_insee_local_onegeo import _get_insee_local_onegeo
 from pynsee.localdata.get_geo_list import get_geo_list
 from pynsee.utils.save_df import save_df
 
 import logging
+
 logger = logging.getLogger(__name__)
 
+
 @lru_cache(maxsize=None)
 def _warning_nivgeo(nivgeo):
     if nivgeo == "DEP":
@@ -29,9 +33,15 @@ def _warning_nivgeo(nivgeo):
     elif nivgeo == "FE":
         logger.info("By default, the query is on all France territory")
 
+
 @save_df(day_lapse_max=90)
 def get_local_data(
-    variables, dataset_version, nivgeo="FE", geocodes=["1"], update=False, silent=False
+    variables,
+    dataset_version,
+    nivgeo="FE",
+    geocodes=["1"],
+    update=False,
+    silent=True,
 ):
     """Get INSEE local numeric data
 
@@ -47,7 +57,7 @@ def get_local_data(
         update (bool): data is saved locally, set update=True to trigger an update
 
         silent (bool, optional): Set to True, to disable messages printed in log info
-        
+
     Raises:
         ValueError: Error if geocodes is not a list
 
@@ -74,7 +84,7 @@ def get_local_data(
 
     if isinstance(geocodes, pd.core.series.Series):
         geocodes = geocodes.to_list()
-    
+
     if type(geocodes) == str:
         geocodes = [geocodes]
 
@@ -94,37 +104,41 @@ def get_local_data(
             _warning_nivgeo(_warning_nivgeo)
         elif nivgeo != "METRODOM":
             logger.warning("Please provide a list with geocodes argument !")
-    
+
     #
     # LATEST AVAILABLE DATASET OPTION
     #
-    
-    pattern = re.compile('.*latest$')
+
+    pattern = re.compile(".*latest$")
 
     if pattern.match(dataset_version):
-        
-        dataset_version = _find_latest_local_dataset(dataset_version, variables, nivgeo, geocodes[0], update)
-       
-    list_data_all = []       
-    
+
+        dataset_version = _find_latest_local_dataset(
+            dataset_version, variables, nivgeo, geocodes[0], update
+        )
+
+    list_data_all = []
+
     for cdg in trange(len(geocodes), desc="Getting data"):
-        
+
         codegeo = geocodes[cdg]
-        df_default = pd.DataFrame({"CODEGEO": codegeo, "OBS_VALUE": np.nan}, index=[0])
-        
+        df_default = pd.DataFrame(
+            {"CODEGEO": codegeo, "OBS_VALUE": np.nan}, index=[0]
+        )
+
         try:
             df = _get_insee_local_onegeo(
                 variables, dataset_version, nivgeo, codegeo
             )
-            
+
         except Exception as e:
             df = df_default
 
         list_data_all.append(df)
 
     data_final = pd.concat(list_data_all).reset_index(drop=True)
-    
+
     if data_final.equals(df_default):
-        logger.error("Error or no data found !")  
-           
+        logger.error("Error or no data found !")
+
     return data_final
diff --git a/pynsee/macrodata/_get_dataset_list_internal.py b/pynsee/macrodata/_get_dataset_list_internal.py
index 997a919f..91305804 100644
--- a/pynsee/macrodata/_get_dataset_list_internal.py
+++ b/pynsee/macrodata/_get_dataset_list_internal.py
@@ -7,7 +7,10 @@
 
 
 @save_df(day_lapse_max=90)
-def _get_dataset_list_internal():
+def _get_dataset_list_internal(silent=True):
+    """
+    silent (bool, optional): Set to True, to disable messages printed in log info
+    """
 
     zip_file = pkg_resources.resource_stream(
         __name__, "data/dataset_list_internal.zip"
diff --git a/pynsee/macrodata/_get_dataset_metadata_core.py b/pynsee/macrodata/_get_dataset_metadata_core.py
index f6343f32..d06508a4 100644
--- a/pynsee/macrodata/_get_dataset_metadata_core.py
+++ b/pynsee/macrodata/_get_dataset_metadata_core.py
@@ -8,6 +8,7 @@
 from pynsee.macrodata._get_dimension_values import _get_dimension_values
 from pynsee.utils.save_df import save_df
 
+
 @save_df(day_lapse_max=90)
 def _get_dataset_metadata_core(dataset, update=False, silent=True):
 
@@ -15,12 +16,12 @@ def _get_dataset_metadata_core(dataset, update=False, silent=True):
     # test1 = _get_dataset_metadata_core('IPC-2015', update=True)
     # test2 = _get_dataset_metadata_core('IRL', update=True)
 
-    idbank_list = _download_idbank_list(update=update, silent=True)
+    idbank_list = _download_idbank_list(update=update, silent=silent)
 
     # get dataset's dimensions
-    dataset_dimension = _get_dataset_dimension(dataset, update=update, silent=True).reset_index(
-        drop=True
-    )
+    dataset_dimension = _get_dataset_dimension(
+        dataset, update=update, silent=silent
+    ).reset_index(drop=True)
 
     # select only the idbanks corresponding to the dataset
     idbank_list_dataset = idbank_list[idbank_list["nomflow"] == dataset]
@@ -34,11 +35,14 @@ def _get_dataset_metadata_core(dataset, update=False, silent=True):
     # subset new columns in case of mismatch between idbank list and insee metadata
     new_columns = [new_columns[c] for c in range(len(df_cleflow_splitted[0]))]
 
-    df_cleflow_splitted = pd.DataFrame(df_cleflow_splitted, columns=new_columns)
+    df_cleflow_splitted = pd.DataFrame(
+        df_cleflow_splitted, columns=new_columns
+    )
 
     # join the splitted cleflow dataframe with the former idbank list
     idbank_list_dataset = pd.concat(
-        [idbank_list_dataset.reset_index(drop=True), df_cleflow_splitted], axis=1
+        [idbank_list_dataset.reset_index(drop=True), df_cleflow_splitted],
+        axis=1,
     )
 
     n_dimensions = len(dataset_dimension.index)
@@ -49,13 +53,19 @@ def _get_dataset_metadata_core(dataset, update=False, silent=True):
         dim_local_rep = dataset_dimension["local_representation"].iloc[irow]
 
         # get dimension values #
-        dim_values = _get_dimension_values(dim_local_rep, update=update, silent=True)
+        dim_values = _get_dimension_values(
+            dim_local_rep, update=update, silent=silent
+        )
 
         # drop dimension label
         dim_values = dim_values[dim_values["id"] != dim_local_rep]
 
         # rename columns
-        dim_values.columns = [dim_id, dim_id + "_label_fr", dim_id + "_label_en"]
+        dim_values.columns = [
+            dim_id,
+            dim_id + "_label_fr",
+            dim_id + "_label_en",
+        ]
 
         if dim_id in idbank_list_dataset.columns:
             idbank_list_dataset = idbank_list_dataset.merge(
diff --git a/pynsee/macrodata/_load_dataset_data.py b/pynsee/macrodata/_load_dataset_data.py
index 81213cb0..9457da45 100644
--- a/pynsee/macrodata/_load_dataset_data.py
+++ b/pynsee/macrodata/_load_dataset_data.py
@@ -6,15 +6,16 @@
 from pynsee.macrodata._get_dataset_metadata import _get_dataset_metadata
 from pynsee.utils.save_df import save_df
 
+
 @save_df(day_lapse_max=90)
 def _load_dataset_data(update=False, silent=True):
-    
-    list_dataset = list(get_dataset_list(silent=True).id.unique())
+
+    list_dataset = list(get_dataset_list(silent=silent).id.unique())
     list_metadata = []
 
-    for dt in trange(len(list_dataset), desc='Metadata download'):    
+    for dt in trange(len(list_dataset), desc="Metadata download"):
         dataset = list_dataset[dt]
-        metadata = _get_dataset_metadata(dataset, silent=True)
-        list_metadata += [metadata]        
-    
+        metadata = _get_dataset_metadata(dataset, silent=silent)
+        list_metadata += [metadata]
+
     return pd.concat(list_metadata)
diff --git a/pynsee/macrodata/get_dataset.py b/pynsee/macrodata/get_dataset.py
index 88a0ad16..6bc1bcea 100644
--- a/pynsee/macrodata/get_dataset.py
+++ b/pynsee/macrodata/get_dataset.py
@@ -9,11 +9,12 @@
 from pynsee.utils._paste import _paste
 from pynsee.utils.save_df import save_df
 
+
 @save_df(day_lapse_max=30)
 def get_dataset(
     dataset,
     update=False,
-    silent=False,
+    silent=True,
     metadata=True,
     filter=None,
     startPeriod=None,
@@ -30,6 +31,8 @@ def get_dataset(
 
         update (bool, optional): Set to True, to update manually the data stored locally on the computer. Defaults to False.
 
+        silent (bool, optional): Set to True, to disable messages printed in log info
+
         metadata (bool, optional): If True, some metadata is added to the data
 
         filter (str, optional): Use the filter to choose only some values in a dimension.
@@ -62,8 +65,8 @@ def get_dataset(
         >>> #
         >>> business_climate = get_dataset("CLIMAT-AFFAIRES", lastNObservations = 1)
     """
-    
-    insee_dataset = get_dataset_list(silent=True)    
+
+    insee_dataset = get_dataset_list(silent=silent)
     insee_dataset_list = insee_dataset["id"].to_list()
 
     # check if the dataset exists in INSEE's list
@@ -108,12 +111,12 @@ def get_dataset(
     # add metadata
     if metadata:
         try:
-            
-            idbank_list = get_series_list(dataset, silent=True)            
 
-            newcol = [col for col in idbank_list.columns if col not in data.columns] + [
-                "IDBANK"
-            ]
+            idbank_list = get_series_list(dataset, silent=silent)
+
+            newcol = [
+                col for col in idbank_list.columns if col not in data.columns
+            ] + ["IDBANK"]
             idbank_list = idbank_list[newcol]
 
             data = data.merge(idbank_list, on="IDBANK", how="left")
diff --git a/pynsee/macrodata/get_dataset_list.py b/pynsee/macrodata/get_dataset_list.py
index 58eb53d1..04aac206 100644
--- a/pynsee/macrodata/get_dataset_list.py
+++ b/pynsee/macrodata/get_dataset_list.py
@@ -19,7 +19,7 @@
 
 
 @save_df(day_lapse_max=30)
-def get_dataset_list(update=False, silent=False):
+def get_dataset_list(update=False, silent=True):
     """Download a full INSEE's datasets list from BDM macroeconomic database
 
     Args:
diff --git a/pynsee/macrodata/get_series.py b/pynsee/macrodata/get_series.py
index 08ec21e3..5aa99fb9 100644
--- a/pynsee/macrodata/get_series.py
+++ b/pynsee/macrodata/get_series.py
@@ -11,11 +11,12 @@
 from pynsee.utils._paste import _paste
 from pynsee.utils.save_df import save_df
 
+
 @save_df(day_lapse_max=30)
 def get_series(
     *idbanks,
     update=False,
-    silent=False,
+    silent=True,
     metadata=True,
     startPeriod=None,
     endPeriod=None,
@@ -137,7 +138,7 @@ def get_series(
             api_query = api_query + added_param_string
 
         df = _get_insee(
-            api_query=api_query,  
+            api_query=api_query,
             sdmx_query=sdmx_query,
             step=str("{0}/{1}").format(q + 1, max_seq_idbank),
         )
@@ -158,7 +159,9 @@ def get_series(
                     metadata_df["IDBANK"].isin(list_idbank_data)
                 ].reset_index(drop=True)
 
-                list_col = ['IDBANK'] + [c for c in metadata_df.columns if c not in data]
+                list_col = ["IDBANK"] + [
+                    c for c in metadata_df.columns if c not in data
+                ]
                 metadata_df = metadata_df[list_col]
 
                 data = data.merge(metadata_df, on="IDBANK", how="left")
diff --git a/pynsee/macrodata/get_series_list.py b/pynsee/macrodata/get_series_list.py
index 11baaa03..1e4528df 100644
--- a/pynsee/macrodata/get_series_list.py
+++ b/pynsee/macrodata/get_series_list.py
@@ -9,8 +9,9 @@
 
 from pynsee.utils.save_df import save_df
 
+
 @save_df(day_lapse_max=30)
-def get_series_list(*datasets, update=False, silent=False):
+def get_series_list(*datasets, update=False, silent=True):
     """Download an INSEE's series key list for one or several datasets from BDM macroeconomic database
 
     Args:
@@ -35,7 +36,7 @@ def get_series_list(*datasets, update=False, silent=False):
         >>> dataset_list = get_dataset_list()
         >>> idbank_ipc = get_series_list('IPC-2015', 'CLIMAT-AFFAIRES')
     """
-    insee_dataset = get_dataset_list(silent=True)
+    insee_dataset = get_dataset_list(silent=silent)
     insee_dataset_list = insee_dataset["id"].to_list()
 
     if len(datasets) == 1:
@@ -52,7 +53,9 @@ def get_series_list(*datasets, update=False, silent=False):
     idbank_list_dataset = []
 
     for dt in datasets:
-        idbank_list_dt = _get_dataset_metadata(dt, update=update, silent=True)
+        idbank_list_dt = _get_dataset_metadata(
+            dt, update=update, silent=silent
+        )
 
         idbank_list_dataset.append(idbank_list_dt)
 
@@ -72,6 +75,8 @@ def get_series_list(*datasets, update=False, silent=False):
         columns={"nomflow": "DATASET", "idbank": "IDBANK", "cleFlow": "KEY"}
     )
 
-    idbank_list.columns = [col.replace("-", "_") for col in idbank_list.columns]
+    idbank_list.columns = [
+        col.replace("-", "_") for col in idbank_list.columns
+    ]
 
     return idbank_list
diff --git a/pynsee/metadata/get_legal_entity.py b/pynsee/metadata/get_legal_entity.py
index 82e0038b..637f2840 100644
--- a/pynsee/metadata/get_legal_entity.py
+++ b/pynsee/metadata/get_legal_entity.py
@@ -9,8 +9,9 @@
 from pynsee.utils._request_insee import _request_insee
 from pynsee.utils.save_df import save_df
 
+
 @save_df(day_lapse_max=30)
-def get_legal_entity(codes, print_err_msg=True, update=False, silent=False):
+def get_legal_entity(codes, print_err_msg=True, update=False, silent=True):
     """Get legal entities labels
 
     Args:
@@ -39,7 +40,7 @@ def get_legal_entity(codes, print_err_msg=True, update=False, silent=False):
     data_final = pd.concat(list_data).reset_index(drop=True)
 
     data_final = data_final.rename(columns={"intitule": "title"})
-    
+
     return data_final
 
 
diff --git a/pynsee/sirene/search_sirene.py b/pynsee/sirene/search_sirene.py
index 4ab6194d..264dec07 100644
--- a/pynsee/sirene/search_sirene.py
+++ b/pynsee/sirene/search_sirene.py
@@ -33,6 +33,7 @@ def _warning_data_save():
         "Set update=True to trigger an update"
     )
 
+
 @save_df(day_lapse_max=30, obj=SireneDataFrame)
 def search_sirene(
     variable,
@@ -47,7 +48,7 @@ def search_sirene(
     legal=False,
     closed=False,
     update=False,
-    silent=False
+    silent=True,
 ):
     """Get data about companies from criteria on variables
 
@@ -120,10 +121,10 @@ def search_sirene(
         >>>            number = 2500,
         >>>            kind = "siret")
         >>> #
-        >>> # Find 1000 companies whose name sounds like Dassault Système or is a big company (GE), 
+        >>> # Find 1000 companies whose name sounds like Dassault Système or is a big company (GE),
         >>> # search is made as well on patterns whose accents have been removed
         >>> import os
-        >>> # environment variable 'pynsee_print_url' force the package to print the request 
+        >>> # environment variable 'pynsee_print_url' force the package to print the request
         >>> os.environ["pynsee_print_url"] = 'True'
         >>> df = search_sirene(variable = ["denominationUniteLegale", 'categorieEntreprise'],
         >>>                 pattern = ['Dassot Système', 'GE'],
@@ -165,30 +166,30 @@ def search_sirene(
         pattern = [pattern]
 
     list_siren_hist_variable = [
-        "nomUniteLegale",#
-        "nomUsageUniteLegale",#
-        "denominationUniteLegale",#
-        "denominationUsuelle1UniteLegale",#
-        "denominationUsuelle2UniteLegale",#
+        "nomUniteLegale",  #
+        "nomUsageUniteLegale",  #
+        "denominationUniteLegale",  #
+        "denominationUsuelle1UniteLegale",  #
+        "denominationUsuelle2UniteLegale",  #
         "denominationUsuelle3UniteLegale",
-        "categorieJuridiqueUniteLegale",#
-        "etatAdministratifUniteLegale",#
-        "nicSiegeUniteLegale",#
-        "activitePrincipaleUniteLegale",#
-        "caractereEmployeurUniteLegale",#
-        "economieSocialeSolidaireUniteLegale",#
-        #"nomenclatureActivitePrincipaleUniteLegale",
-    ] + ['societeMissionUniteLegale']
+        "categorieJuridiqueUniteLegale",  #
+        "etatAdministratifUniteLegale",  #
+        "nicSiegeUniteLegale",  #
+        "activitePrincipaleUniteLegale",  #
+        "caractereEmployeurUniteLegale",  #
+        "economieSocialeSolidaireUniteLegale",  #
+        # "nomenclatureActivitePrincipaleUniteLegale",
+    ] + ["societeMissionUniteLegale"]
 
     list_siret_hist_variable = [
-        "denominationUsuelleEtablissement",#
-        "enseigne1Etablissement",#
-        "enseigne2Etablissement",#
-        "enseigne3Etablissement",#
-        "activitePrincipaleEtablissement",#
-        "etatAdministratifEtablissement",#
-        "nomenclatureActiviteEtablissement",#
-        "caractereEmployeurEtablissement",#
+        "denominationUsuelleEtablissement",  #
+        "enseigne1Etablissement",  #
+        "enseigne2Etablissement",  #
+        "enseigne3Etablissement",  #
+        "activitePrincipaleEtablissement",  #
+        "etatAdministratifEtablissement",  #
+        "nomenclatureActiviteEtablissement",  #
+        "caractereEmployeurEtablissement",  #
     ]
 
     if kind == "siren":
@@ -208,8 +209,8 @@ def search_sirene(
         # using OR, unless it's a range condition, cf.
         # https://www.sirene.fr/static-resources/htm/sommaire.html
         if not (
-            re.match(r"\[\w+\s+TO\s+\w+\]", patt) or
-            re.match(r"\{\w+\s+TO\s+\w+\}", patt)
+            re.match(r"\[\w+\s+TO\s+\w+\]", patt)
+            or re.match(r"\{\w+\s+TO\s+\w+\}", patt)
         ):
             patt = re.sub(r"\s+", "|", patt)
         else:
@@ -221,13 +222,13 @@ def search_sirene(
         if upper_case:
             list_var_patt_maj = [p.upper() for p in list_patt]
             list_patt += list_var_patt_maj
-            
+
         if decode:
             list_var_decode = [unidecode(p) for p in list_patt]
             list_patt += list_var_decode
 
         list_patt = list(set(list_patt))
-        
+
         list_var_patt = []
         for ptt in list_patt:
             if var in list_hist_variable:
@@ -235,7 +236,7 @@ def search_sirene(
             else:
                 ptt_h = "{}{}:{}".format(var, phntc_string, ptt)
 
-            list_var_patt += [ptt_h]                
+            list_var_patt += [ptt_h]
 
         list_var_pattern.append(list_var_patt)