diff --git a/cy_airquality_rpi.py b/cy_airquality_rpi.py
index 7ff8627..9a46015 100644
--- a/cy_airquality_rpi.py
+++ b/cy_airquality_rpi.py
@@ -3,64 +3,115 @@
 import time
 import Adafruit_CharLCD as LCD
 from unidecode import unidecode
+import logging
+from datetime import datetime
 
-# Raspberry Pi pin and LCD configuration
-lcd_rs        = 25
-lcd_en        = 24
-lcd_d4        = 23
-lcd_d5        = 17
-lcd_d6        = 18
-lcd_d7        = 22
-lcd_backlight = 4
-lcd_columns = 16
-lcd_rows=2
+# Configure logging
+logging.basicConfig(
+    filename='console.log',
+    level=logging.INFO,
+    format='%(asctime)s [%(levelname)s] %(message)s',
+    datefmt='%Y-%m-%d %H:%M:%S'
+)
 
+# Raspberry Pi GPIO pin and LCD use configuration
+lcd_rs = 25
+lcd_en = 24
+lcd_d4 = 23
+lcd_d5 = 17
+lcd_d6 = 18
+lcd_d7 = 22
+lcd_backlight = 4
 lcd_columns = 16
-lcd_rows    = 2
+lcd_rows = 2
 
-lcd = LCD.Adafruit_CharLCD(lcd_rs, lcd_en, lcd_d4, lcd_d5, lcd_d6, lcd_d7,
-                           lcd_columns, lcd_rows, lcd_backlight)
+lcd = LCD.Adafruit_CharLCD(lcd_rs, lcd_en, lcd_d4, lcd_d5, lcd_d6, lcd_d7, lcd_columns, lcd_rows, lcd_backlight)
 
 while True:
-    # Update screen
-    lcd.clear()
-
     # Send a GET request to the webpage
     url = "https://www.airquality.dli.mlsi.gov.cy/"
     response = requests.get(url)
 
-    # Parse the HTML content using BeautifulSoup
-    soup = BeautifulSoup(response.content, "html.parser")
-
-    # Find the div containing the data where class is the div with info needed
-    divs = soup.find_all("div", class_="col col-xs-12 col-sm-6 col-md-3 col-lg-2 col-3")
-
-    # Loop through the divs and extract the data for Limassol only
-    for div in divs:
-        # Extract the location, pollutant, and value data
-        location_element = div.find("h4")
-        pollutant_label = div.find("span", class_="pollutant-label")
-        pollutant_value = div.find("span", class_="pollutant-value")
-        
-        # Check if elements are found
-        if location_element and pollutant_label and pollutant_value and "Limassol" in location_element.text:
-            location = location_element.text.strip()
-            pollutant = pollutant_label.text.strip()
-            value = pollutant_value.text.strip()
-            # Print result
-            print(f"Pollutant: {pollutant}, Value: {value}")
-            
-#        else:
-#           print("PARSE\nERROR")
-#           lcd.message("PARSE\nERROR")
-# Todo: error handling
-
-    # Normalize unicode text since LCD can't render unicode symbols
-    unicode_text = (f"Pollutant {pollutant}\nValue {value}")
-    normalized_text = unidecode(unicode_text)
-    
-    # Render on screen
-    lcd.message(normalized_text)
-    
+    if response.status_code == 200:
+        # Parse the HTML content using BeautifulSoup
+        soup = BeautifulSoup(response.content, "html.parser")
+
+        # Find the div element with the specified class that shows pollution data
+        div_element = soup.find("div", class_="col col-xs-12 col-sm-6 col-md-3 col-lg-2 col-3")
+
+        if div_element:
+            # Find the h4 header within the div to filter out results for Limassol
+            h4_header = div_element.find("h4", class_="field-content stations-overview-title")
+
+            if h4_header:
+                # Get the station city
+                station_name = h4_header.text.strip()
+
+                # Find all pollutant labels and values within the div
+                pollutant_labels = div_element.find_all(class_="pollutant-label")
+                pollutant_values = div_element.find_all(class_="pollutant-value")
+
+                # Create a list of formatted pollutant lines
+                pollutant_lines = []
+                for label, value in zip(pollutant_labels, pollutant_values):
+                    pollutant_label = label.text.strip().rstrip(":")  # Remove trailing colon
+                    pollutant_value = value.text.strip()
+                    if pollutant_value == "Not Measured":  # Short text for N/A
+                        pollutant_value = "N/A"
+                    line = f"Pollutant: {pollutant_label}\nValue: {pollutant_value}"
+                    pollutant_lines.append(line)
+
+                # Add the timestamp
+                now = datetime.now()
+                time_line = f"Updated:\n{now.strftime('%d.%m.%Y %H:%M:%S')}"
+                pollutant_lines.insert(8, time_line)
+
+                index = 0
+                while True:
+                    # Get the current line to display
+                    line = pollutant_lines[index]
+
+                    # Clear the LCD screen
+                    lcd.clear()
+
+                    # Normalize unicode text since LCD can't render unicode symbols
+                    normalized_text = unidecode(line)
+
+                    # Display the line on the LCD screen
+                    lcd.message(normalized_text)
+
+                    # Print all lines of pollutant data in the console
+                    for line in pollutant_lines:
+                        print(line)
+
+                    # Log all lines of pollutant data in the console without timestamp
+                    for i, line in enumerate(pollutant_lines):
+                        if i != 8:  # Skip logging for the 9th line
+                            logging.info(line)
+
+                    # Set the display duration for the first pollutant
+                    if index == 0:
+                        display_duration = 15
+                    else:
+                        display_duration = 7
+
+                    # Pause for the specified duration
+                    time.sleep(display_duration)
+
+                    # Increment the index and loop back to the beginning
+                    index = (index + 1) % len(pollutant_lines)
+
+            else:
+                print("Could not find table for Limassol, webpage updated or unavailable")
+                logging.error("Could not find table for Limassol, webpage updated or unavailable")
+        else:
+            print("Could not find the table, webpage updated or unavailable")
+            logging.error("Could not find the table, webpage updated or unavailable")
+
+    else:
+        lcd.clear()
+        lcd.message("Error fetching data")
+        logging.error("Error fetching data")
+
     # Update every 10 minutes
     time.sleep(600)