diff --git a/.gitignore b/.gitignore
index f5e96db..2298396 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1 +1,3 @@
-venv
\ No newline at end of file
+venv
+.env
+*.xlsx
\ No newline at end of file
diff --git a/script.py b/script.py
index 40e4e68..8c5efe2 100644
--- a/script.py
+++ b/script.py
@@ -1,3 +1,76 @@
 import os
+import re
+from dotenv import load_dotenv
+from netmiko.cisco.cisco_wlc_ssh import CiscoWlcSSH
+import pandas as pd
 
-print("Hello world!")
\ No newline at end of file
+load_dotenv()
+
+ip = input("Please input the WLC IP: ")
+user = os.environ.get("USER")
+password = os.environ.get("PASS")
+
+wlc = CiscoWlcSSH(
+    ip=ip,
+    username=user,
+    password=password
+)
+
+wlc.send_command("config paging disable")
+ap_summary = wlc.send_command("show ap summary", read_timeout=30)
+
+pattern = re.compile(r"""
+    (?P<AP_Name>\S+)\s+                    # AP Name (non-space characters followed by spaces)
+    (?P<Slots>\d+)\s+                      # Slots (digits followed by spaces)
+    (?P<AP_Model>[\w\-]+)\s+               # AP Model (alphanumeric or hyphen)
+    (?P<Ethernet_MAC>[0-9a-fA-F:]+)\s+     # Ethernet MAC address (hexadecimal, colon-separated)
+    (?P<Location>[\w\s\-]+)\s+             # Location (alphanumeric, space, or hyphen)
+    (?P<Country>\w+)\s+                    # Country (two uppercase letters)
+    (?P<IP_Address>\d+\.\d+\.\d+\.\d+)\s+  # IP Address (IPv4 format)
+    (?P<Clients>\d+)\s+                    # Clients (digits)
+    (?P<DSE_Location>\[.*\])               # DSE Location (list format)
+""", re.VERBOSE)
+
+# List to store parsed dictionaries
+parsed_data = []
+
+# Process each row in the text (excluding the header and separator)
+for line in ap_summary.strip().splitlines()[2:]:
+    match = pattern.match(line)
+    if match:
+        parsed_data.append(match.groupdict())
+
+# Create a DataFrame from the parsed data
+df = pd.DataFrame(parsed_data)
+
+# Define the Excel file name
+file_name = 'ap_data.xlsx'
+
+with pd.ExcelWriter(file_name, engine='openpyxl') as writer:
+    # Write the dataframe to the first sheet without the header row
+    df.to_excel(writer, index=False, header=False, sheet_name='AP Data')
+
+    # Access the workbook and the sheet
+    workbook = writer.book
+    worksheet = workbook['AP Data']
+    from openpyxl.utils import get_column_letter
+    # Set the column headers to letters (A, B, C, D, etc.)
+    for idx in range(len(df.columns)):
+        # Convert the column index (starting from 0) to Excel letters (A, B, C, ...)
+        worksheet[get_column_letter(idx + 1) + '1'].value = get_column_letter(idx + 1)
+
+    # Set the column width for better readability
+    column_widths = {}
+    for col in df.columns:
+        max_length = max(df[col].astype(str).map(len).max(), len(col)) + 2  # Add a bit of padding
+        column_widths[col] = max_length
+
+    for idx, width in enumerate(column_widths.values()):
+        worksheet.column_dimensions[get_column_letter(idx + 1)].width = width
+
+    # Add a bold header row (A, B, C, D, etc.)
+    for cell in worksheet[1]:
+        cell.font = cell.font.copy(bold=True)
+
+# Let the user know the file has been saved
+print(f"Excel file '{file_name}' has been created successfully.")
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