diff --git a/src/aki_prj23_transparenzregister/utils/data_extraction/news/base.py b/src/aki_prj23_transparenzregister/utils/data_extraction/news/base.py
index ae46bf7..45d655b 100644
--- a/src/aki_prj23_transparenzregister/utils/data_extraction/news/base.py
+++ b/src/aki_prj23_transparenzregister/utils/data_extraction/news/base.py
@@ -1,9 +1,6 @@
 """Base class for news extractors."""
 import abc
 
-import requests
-from bs4 import BeautifulSoup
-
 from aki_prj23_transparenzregister.models.news import News
 
 
@@ -31,6 +28,7 @@ class BaseNewsExtractor(metaclass=abc.ABCMeta):
             list[News] | None: List of news or None if an error occured.
         """
 
+    @abc.abstractmethod
     def __get_news_details_text__(self, url: str) -> str:
         """Retrieve the text of a news article.
 
@@ -40,9 +38,3 @@ class BaseNewsExtractor(metaclass=abc.ABCMeta):
         Returns:
             str: Text of the news article.
         """
-        content = requests.get(url, timeout=60)
-        soup = BeautifulSoup(content.text, features="html.parser")
-
-        return " ".join(
-            [elem.text.replace("\n", " ") for elem in soup.find_all("p")][:]
-        )
diff --git a/src/aki_prj23_transparenzregister/utils/data_extraction/news/handelsblatt.py b/src/aki_prj23_transparenzregister/utils/data_extraction/news/handelsblatt.py
index 77c35f2..98cba65 100644
--- a/src/aki_prj23_transparenzregister/utils/data_extraction/news/handelsblatt.py
+++ b/src/aki_prj23_transparenzregister/utils/data_extraction/news/handelsblatt.py
@@ -3,6 +3,8 @@ from datetime import datetime
 
 import requests
 import xmltodict
+from bs4 import BeautifulSoup
+from selenium import webdriver
 
 from aki_prj23_transparenzregister.models.news import News
 from aki_prj23_transparenzregister.utils.data_extraction.news.base import (
@@ -41,9 +43,36 @@ class HandelsblattRSS(BaseNewsExtractor):
                     date=datetime.strptime(
                         article["pubDate"], "%a, %d %b %Y %H:%M:%S %z"
                     ).strftime("%Y-%m-%dT%H:%M:%S%z"),
-                    # FIXME Will now require JS enabled --> Use selenium rather than simple requests
                     text=self.__get_news_details_text__(article["link"]),
                     source_url=article["link"],
                 )
             )
+            break
         return news
+
+    def __get_news_details_text__(self, url: str) -> str:
+        """Retrieve the text of a news article.
+
+        Args:
+            url (str): URL of the news article.
+
+        Returns:
+            str: Text of the news article.
+        """
+        options = webdriver.ChromeOptions()
+        preferences = {
+            "profile.default_content_settings.popups": 0,
+            "safebrowsing.enabled": True,
+        }
+        options.add_argument("--headless=new")
+        options.add_experimental_option("prefs", preferences)
+        options.add_experimental_option("excludeSwitches", ["enable-logging"])
+
+        driver = webdriver.Chrome(options=options)
+        driver.get(url)
+        content = driver.page_source
+        soup = BeautifulSoup(content, features="html.parser")
+
+        return " ".join(
+            [elem.text.replace("\n", " ") for elem in soup.find_all("p")][:]
+        ).strip()
diff --git a/src/aki_prj23_transparenzregister/utils/data_extraction/news/tagesschau.py b/src/aki_prj23_transparenzregister/utils/data_extraction/news/tagesschau.py
index 82481b7..43cb322 100644
--- a/src/aki_prj23_transparenzregister/utils/data_extraction/news/tagesschau.py
+++ b/src/aki_prj23_transparenzregister/utils/data_extraction/news/tagesschau.py
@@ -1,5 +1,6 @@
 """Tageschau API news extractor."""
 import requests
+from bs4 import BeautifulSoup
 
 from aki_prj23_transparenzregister.models.news import News
 from aki_prj23_transparenzregister.utils.data_extraction.news.base import (
@@ -42,3 +43,19 @@ class TagesschauAPI(BaseNewsExtractor):
                 )
             )
         return news
+
+    def __get_news_details_text__(self, url: str) -> str:
+        """Retrieve the text of a news article.
+
+        Args:
+            url (str): URL of the news article.
+
+        Returns:
+            str: Text of the news article.
+        """
+        content = requests.get(url, timeout=60)
+        soup = BeautifulSoup(content.text, features="html.parser")
+
+        return " ".join(
+            [elem.text.replace("\n", " ") for elem in soup.find_all("p")][1:]
+        ).strip()