diff --git a/app/charts/asynchronous.py b/app/charts/asynchronous.py
index 3a6df93..a3259ab 100644
--- a/app/charts/asynchronous.py
+++ b/app/charts/asynchronous.py
@@ -6,10 +6,11 @@ import datetime
 from datetime import date, timedelta
 from .models import Coin, Social, P2Pool
 import requests
-import pygsheets
 from django.conf import settings
+import pandas as pd
 
 BASE_DIR = settings.BASE_DIR
+DATA_FILE = settings.DATA_FILE
 
 
 ####################################################################################
@@ -377,7 +378,7 @@ async def update_social_data(symbol):
 
 
 ####################################################################################
-#   Asynchronous get p2pool and p2poolmini data and then save to google sheets
+#   Asynchronous get p2pool and p2poolmini data and then save to .ods
 ####################################################################################
 async def get_p2pool_data(session, mini):
     today = date.today()
@@ -426,33 +427,27 @@ async def get_p2pool_data(session, mini):
                 p2pool_stat.mini = False
                 p2pool_stat.save()
                 print("p2pool saved!")
-                gc = pygsheets.authorize(
-                    service_file="service_account_credentials.json"
-                )
-                sh = gc.open("zcash_bitcoin")
-                wks = sh.worksheet_by_title("p2pool")
-                values_mat = wks.get_values(
-                    start=(3, 1), end=(9999, 3), returnas="matrix"
-                )
+
+                df = pd.read_excel(DATA_FILE, sheet_name="p2pool", engine="odf")
+                start_row, end_row = 2, 9999
+                start_col, end_col = 0, 2
+                values_mat = df.iloc[start_row:end_row, start_col:end_col].to_numpy()
+
                 k = len(values_mat)
                 date_aux = datetime.datetime.strptime(values_mat[k - 1][0], "%Y-%m-%d")
                 date_aux2 = datetime.datetime.strftime(date.today(), "%Y-%m-%d")
                 date_aux2 = datetime.datetime.strptime(date_aux2, "%Y-%m-%d")
                 if date_aux < date_aux2:
-                    cell = "F" + str(k + 3)
-                    wks.update_value(cell, p2pool_stat.totalblocksfound)
-                    cell = "E" + str(k + 3)
-                    wks.update_value(cell, p2pool_stat.totalhashes)
-                    cell = "D" + str(k + 3)
-                    wks.update_value(cell, p2pool_stat.percentage)
-                    cell = "C" + str(k + 3)
-                    wks.update_value(cell, p2pool_stat.hashrate)
-                    cell = "B" + str(k + 3)
-                    wks.update_value(cell, p2pool_stat.miners)
-                    cell = "A" + str(k + 3)
-                    wks.update_value(
-                        cell, datetime.datetime.strftime(p2pool_stat.date, "%Y-%m-%d")
-                    )
+                    values_mat[k][5] = p2pool_stat.totalblocksfound
+                    values_mat[k][4] = p2pool_stat.totalhashes
+                    values_mat[k][3] = p2pool_stat.percentage
+                    values_mat[k][2] = p2pool_stat.hashrate
+                    values_mat[k][1] = p2pool_stat.miners
+                    values_mat[k][0] = datetime.datetime.strftime(p2pool_stat.date, "%Y-%m-%d")
+
+                    df.iloc[start_row:end_row, start_col:end_col] = values_mat
+                    df.to_excel(DATA_FILE, sheet_name="p2pool", index=False)
+
                     print("spreadsheet updated")
                 else:
                     print("spreadsheet already with the latest data")
@@ -473,33 +468,27 @@ async def get_p2pool_data(session, mini):
                 p2pool_stat.mini = True
                 p2pool_stat.save()
                 print("p2pool_mini saved!")
-                gc = pygsheets.authorize(
-                    service_file="service_account_credentials.json"
-                )
-                sh = gc.open("zcash_bitcoin")
-                wks = sh.worksheet_by_title("p2poolmini")
-                values_mat = wks.get_values(
-                    start=(3, 1), end=(9999, 3), returnas="matrix"
-                )
+
+                df = pd.read_excel(DATA_FILE, sheet_name="p2poolmini", engine="odf")
+                start_row, end_row = 2, 9999
+                start_col, end_col = 0, 2
+                values_mat = df.iloc[start_row:end_row, start_col:end_col].to_numpy()
+
                 k = len(values_mat)
                 date_aux = datetime.datetime.strptime(values_mat[k - 1][0], "%Y-%m-%d")
                 date_aux2 = datetime.datetime.strftime(date.today(), "%Y-%m-%d")
                 date_aux2 = datetime.datetime.strptime(date_aux2, "%Y-%m-%d")
                 if date_aux < date_aux2:
-                    cell = "F" + str(k + 3)
-                    wks.update_value(cell, p2pool_stat.totalblocksfound)
-                    cell = "E" + str(k + 3)
-                    wks.update_value(cell, p2pool_stat.totalhashes)
-                    cell = "D" + str(k + 3)
-                    wks.update_value(cell, p2pool_stat.percentage)
-                    cell = "C" + str(k + 3)
-                    wks.update_value(cell, p2pool_stat.hashrate)
-                    cell = "B" + str(k + 3)
-                    wks.update_value(cell, p2pool_stat.miners)
-                    cell = "A" + str(k + 3)
-                    wks.update_value(
-                        cell, datetime.datetime.strftime(p2pool_stat.date, "%Y-%m-%d")
-                    )
+                    values_mat[k][5] = p2pool_stat.totalblocksfound
+                    values_mat[k][4] = p2pool_stat.totalhashes
+                    values_mat[k][3] = p2pool_stat.percentage
+                    values_mat[k][2] = p2pool_stat.hashrate
+                    values_mat[k][1] = p2pool_stat.miners
+                    values_mat[k][0] = datetime.datetime.strftime(p2pool_stat.date, "%Y-%m-%d")
+
+                    df.iloc[start_row:end_row, start_col:end_col] = values_mat
+                    df.to_excel(DATA_FILE, sheet_name="p2poolmini", index=False)
+
                     print("spreadsheet updated")
                 else:
                     print("spreadsheet already with the latest data")