diff --git a/environment.yml b/environment.yml
index 1a8b92646d9..c5e113762a7 100644
--- a/environment.yml
+++ b/environment.yml
@@ -15,6 +15,7 @@ dependencies:
   - tensorflow
   - nb_conda_kernels
   - pillow
+  - python-decouple
   # - selenium
   # - webdriver-manager
   # - pycountry
diff --git a/src/intensivstationen/DateProvider.py b/src/intensivstationen/DateProvider.py
index c43d161dfa3..3cf08a0fee1 100644
--- a/src/intensivstationen/DateProvider.py
+++ b/src/intensivstationen/DateProvider.py
@@ -3,7 +3,9 @@ import requests
 from datetime import datetime
 from time import sleep
 from selenium import webdriver
-from selenium.webdriver.firefox.options import Options
+from webdriver_manager.chrome import ChromeDriverManager
+from selenium.webdriver.chrome.service import Service as ChromeService
+from selenium.webdriver.chrome.options import Options
 import pandas as pd
 
 class DateProvider:
@@ -39,15 +41,23 @@ class DateProvider:
         options = Options()
         options.headless = True
         options.add_argument("-profile")
-        # put the root directory your default profile path here, you can check it by opening Firefox and then pasting 'about:profiles' into the url field 
-        options.add_argument("/home/frankknoll/snap/firefox/common/.mozilla/firefox/1j6r2yp6.default")
-        driver = webdriver.Firefox(options = options)
+        driver = self._getWebDriver()
         driver.get('https://www.intensivregister.de/#/aktuelle-lage/downloads')
         sleep(10)
         innerHTML = driver.execute_script("return document.body.innerHTML")
         driver.quit()
         return innerHTML
 
+    def _getWebDriver(self):
+        return webdriver.Chrome(
+            service = ChromeService(executable_path = ChromeDriverManager().install()),
+            options = self._getOptions())
+
+    def _getOptions(self):
+        options = Options()
+        options.headless = True
+        return options
+
     def _asDataFrame(self, html, lastUpdatedColumn):
         dataFrame = pd.read_html(html, parse_dates = [lastUpdatedColumn])[0]
         dataFrame[lastUpdatedColumn] = pd.to_datetime(dataFrame[lastUpdatedColumn], format = "%d.%m.%Y %H:%M Uhr")