diff --git a/app/cron_ipo_news.py b/app/cron_ipo_news.py
index 86793cf..0b0de5b 100644
--- a/app/cron_ipo_news.py
+++ b/app/cron_ipo_news.py
@@ -1,17 +1,17 @@
 import os
 import pandas as pd
-import ujson
-import orjson
+import sqlite3
 from selenium import webdriver
 from selenium.webdriver.common.by import By
 from selenium.webdriver.chrome.service import Service
-from webdriver_manager.chrome import ChromeDriverManager
 from selenium.webdriver.chrome.options import Options
+from webdriver_manager.chrome import ChromeDriverManager
 from dotenv import load_dotenv
-import sqlite3
-from datetime import datetime
 
 def clean_link(url):
+    """
+    Clean the article link to extract the actual URL if it's wrapped in a redirect.
+    """
     if 'url=' in url:
         return url.split('url=')[-1]
     return url
@@ -25,7 +25,7 @@ def main():
     con.close()
 
     load_dotenv()
-    url = os.getenv('IPO_NEWS') # IPO news URL
+    url = os.getenv('IPO_NEWS')  # IPO news URL
 
     # Set up the WebDriver options
     options = Options()
@@ -42,8 +42,9 @@ def main():
     try:
         # Fetch the website
         driver.get(url)
-        # Wait for the page to load (if needed, adjust the time)
+        # Wait for the page to load
         driver.implicitly_wait(5)
+
         # Find all the news containers
         news_items = driver.find_elements(By.CSS_SELECTOR, ".gap-4.border-gray-300.bg-white.p-4.shadow.last\\:pb-1")
 
@@ -51,28 +52,32 @@ def main():
         news_data = []
         for item in news_items:
             try:
+                # Extract relevant elements
                 title_element = item.find_element(By.CSS_SELECTOR, "h3 a")
                 description_element = item.find_element(By.CSS_SELECTOR, "p")
                 timestamp_element = item.find_element(By.CSS_SELECTOR, ".text-sm.text-faded")
                 stocks_element = item.find_elements(By.CSS_SELECTOR, ".ticker")
+                img_element = item.find_element(By.CSS_SELECTOR, "img.h-full.w-full.rounded.object-cover")
 
+                # Get element data
                 title = title_element.text
                 description = description_element.text
                 timestamp = timestamp_element.text
                 link = title_element.get_attribute("href")
                 stocks = [stock.text for stock in stocks_element]
+                img_link = img_element.get_attribute("src")
 
-                stock_list = []
-                for symbol in stocks:
-                    if symbol in stock_symbols:
-                        stock_list.append(symbol)
+                # Filter stocks that exist in the database
+                stock_list = [symbol for symbol in stocks if symbol in stock_symbols]
 
+                # Add to news data
                 news_data.append({
                     "title": title,
                     "description": description,
                     "timestamp": timestamp,
                     "link": clean_link(link),
-                    "stocks": stock_list
+                    "stocks": stock_list,
+                    "img": img_link
                 })
 
             except Exception as e:
@@ -80,12 +85,10 @@ def main():
 
         # Convert the data into a DataFrame
         df = pd.DataFrame(news_data)
-        print(df)
 
         # Save the DataFrame to a JSON file
         df.to_json(json_file_path, orient='records', indent=2)
 
-
     finally:
         # Ensure the WebDriver is closed
         driver.quit()
diff --git a/app/primary_cron_job.py b/app/primary_cron_job.py
index 5af27ee..37b611a 100755
--- a/app/primary_cron_job.py
+++ b/app/primary_cron_job.py
@@ -180,6 +180,7 @@ def run_cron_market_news():
     week = datetime.today().weekday()
     if week <= 4:
         run_command(["python3", "cron_market_news.py"])
+        run_command(["python3", "cron_ipo_news.py"])
 
 def run_company_news():
     week = datetime.today().weekday()