diff --git a/parser/__main__.py b/parser/__main__.py
index e09065c..cc6f312 100644
--- a/parser/__main__.py
+++ b/parser/__main__.py
@@ -5,7 +5,7 @@ import time
 from . import RossetiParser, split_addresses, fetch_builing_ids, preprocess_df
 
 
-def job():
+def job() -> None:
     parser = RossetiParser()
 
     print(parser)
diff --git a/parser/address.py b/parser/address.py
index 9b61a76..fe9d4a9 100644
--- a/parser/address.py
+++ b/parser/address.py
@@ -1,4 +1,5 @@
-from typing import List, TypeVar
+from __future__ import annotations
+from typing import List, Iterable, TypeVar, Any
 
 import pandas as pd
 import re
@@ -34,11 +35,11 @@ def unfold_houses_list(token: str) -> List[str]:
     return [token]
 
 
-def any_of_in(substrings: List[str], string) -> bool:
+def any_of_in(substrings: Iterable[str], string: str) -> bool:
     return any(map(lambda substring: substring in string, substrings))
 
 
-def flatten(arr: List[List[T]]) -> List[T]:
+def flatten(arr: Iterable[List[T]]) -> List[T]:
     return sum(arr, [])
 
 
@@ -69,7 +70,7 @@ def split_address(address: str) -> List[str]:
     return [address]
 
 
-def process_row(row):
+def process_row(row: pd.Series[str]) -> pd.Series[str]:
     if pd.isnull(row['Улица']):
         return row
 
diff --git a/parser/building_id.py b/parser/building_id.py
index 4bc0938..3aeb998 100644
--- a/parser/building_id.py
+++ b/parser/building_id.py
@@ -1,10 +1,11 @@
-from typing import Optional, Tuple
+from __future__ import annotations
+from typing import Optional, Tuple, Any
 
 import requests
 import pandas as pd
 
 
-def get_building_id(row) -> Optional[Tuple[int, float, float]]:
+def get_building_id(row: pd.Series[Any]) -> Optional[Tuple[int, float, float]]:
     r = requests.get('https://geocode.gate.petersburg.ru/parse/eas', params={
         'street': row['Улица']
     })
diff --git a/parser/rosseti.py b/parser/rosseti.py
index 8bcdf20..ab76ed5 100644
--- a/parser/rosseti.py
+++ b/parser/rosseti.py
@@ -8,7 +8,7 @@ import pandas as pd
 
 
 class RossetiParser:
-    def __init__(self, ndays=7, today: Optional[datetime] = None, file_path: Optional[str] = None):
+    def __init__(self, ndays=7, today: Optional[datetime] = None, file_path: Optional[str] = None) -> None:
         self.base_url = "https://rosseti-lenenergo.ru/planned_work"
 
         if today is None:
@@ -23,7 +23,7 @@ class RossetiParser:
         else:
             self.load_df(file_path)
 
-    def __str__(self):
+    def __str__(self) -> str:
         return f"From {self.today.date()} for {self.ndays} days with {len(self.df)} records"
 
     @staticmethod
@@ -39,7 +39,7 @@ class RossetiParser:
             'date_finish': date_finish
         }
 
-    def __get_page(self, url: str, params: Mapping[str, str]):
+    def __get_page(self, url: str, params: Mapping[str, str]) -> None:
         r = requests.get(url, params)
 
         self.soup = BeautifulSoup(r.text, features='html.parser')
@@ -58,14 +58,14 @@ class RossetiParser:
 
         return pd.read_html(io.StringIO(str(table)))[0]
 
-    def __save_page(self, uri: str):
+    def __save_page(self, uri: str) -> None:
         print(f'Processing page "{uri}"')
         self.__get_page(self.base_url + uri, self.__params)
         self.df = pd.concat(
             (self.df, self.__parse_table()), ignore_index=True)
 
-    def __set_columns(self):
-        self.df.columns = (
+    def __set_columns(self) -> None:
+        self.df.columns = pd.Index((
             "Регион РФ (область, край, город фед. значения, округ)",
             "Административный район",
             "Населённый пункт",
@@ -77,9 +77,9 @@ class RossetiParser:
             "Филиал",
             "РЭС",
             "Комментарий",
-        )
+        ))
 
-    def fetch(self, ndays: Optional[int] = None, today: Optional[datetime] = None):
+    def fetch(self, ndays: Optional[int] = None, today: Optional[datetime] = None) -> None:
         if ndays is None:
             ndays = self.ndays
         if today is None:
@@ -100,10 +100,10 @@ class RossetiParser:
 
         self.__set_columns()
 
-    def save_df(self, file_path: str):
+    def save_df(self, file_path: str) -> None:
         print(f'Saved as "{file_path}"')
         self.df.to_csv(file_path, index=False)
 
-    def load_df(self, file_path: str):
+    def load_df(self, file_path: str) -> None:
         print(f'Read from "{file_path}"')
         self.df = pd.read_csv(file_path)