Python makes it incredibly easy to interact with your computer's networking features. Whether you're learning automation, networking, or system administration, these WiFi-related projects are practical, beginner-friendly, and fun to build.
In this blog, we'll explore five useful Python scripts that use Windows' built-in netsh command to retrieve WiFi information. These examples are intended for educational and system administration purposes.
1. WiFi Signal Strength Checker
Knowing your WiFi signal strength can help you identify weak connections and determine the best place to work or stream content.
Python Code
import subprocess
output = subprocess.check_output(
"netsh wlan show interfaces",
shell=True
).decode()
print(output)
How It Works
-
Uses Python's
subprocessmodule. -
Executes the Windows command:
netsh wlan show interfaces - Displays detailed information about the currently connected WiFi network, including signal quality, SSID, radio type, and connection state.
Applications
- Monitor WiFi signal quality.
- Troubleshoot slow connections.
- Learn Windows networking commands.
2. WiFi Profile Lister
Windows stores the names of WiFi networks you've connected to. This script displays those saved profiles.
Python Code
import subprocess
profiles = subprocess.check_output(
"netsh wlan show profiles",
shell=True
).decode()
print(profiles)
How It Works
The command
netsh wlan show profiles
lists every WiFi profile stored on your Windows computer.
Applications
- View saved WiFi networks.
- Clean up unused profiles.
- Learn about Windows WiFi management.
3. WiFi Connection Status
Need to know whether your computer is currently connected to WiFi? This simple script provides the answer.
Python Code
import subprocess
status = subprocess.check_output(
"netsh wlan show interfaces",
shell=True
).decode()
print(status)
What You'll See
The output includes:
- Connection status
- Current SSID
- Signal strength
- Authentication type
- Channel number
- Receive and transmit rates
Applications
- Create a network monitoring tool.
- Detect connection issues.
- Build desktop utilities.
4. WiFi SSID Finder
Sometimes you only need the name of the currently connected WiFi network. This script extracts the SSID from the command output.
Python Code
import subprocess
result = subprocess.check_output(
"netsh wlan show interfaces",
shell=True
).decode()
for line in result.split("\n"):
if "SSID" in line and "BSSID" not in line:
print(line)
How It Works
The script:
- Executes the Windows networking command.
- Reads each line of the output.
- Finds the line containing SSID.
- Ignores BSSID, which refers to the access point's MAC address.
Applications
- Network-aware automation.
- Desktop widgets.
- Logging the connected WiFi network.
5. WiFi Adapter Information
This script retrieves detailed information about your wireless network adapter.
Python Code
import subprocess
adapter = subprocess.check_output(
"netsh wlan show drivers",
shell=True
).decode()
print(adapter)
Information Displayed
You'll see details such as:
- Adapter name
- Driver version
- Manufacturer
- Supported WiFi standards
- Authentication methods
- Cipher support
- Hosted network capability
Applications
- Check adapter compatibility.
- Verify driver installation.
- Learn about wireless hardware.
Requirements
These examples work on:
- Windows 10
- Windows 11
- Python 3.x
No external Python libraries are required because they rely on Python's built-in subprocess module.
Install Python from:
https://python.org
Why Learn WiFi Automation with Python?
Working with WiFi information using Python helps you understand:
- Python automation
- Windows command-line tools
- System administration
- Networking fundamentals
- Device diagnostics
These small projects are excellent stepping stones toward building larger networking applications.
Final Thoughts
Python is a powerful language for automating everyday networking tasks. With just a few lines of code, you can inspect WiFi profiles, check signal strength, monitor your connection, identify the current SSID, and retrieve adapter information.
These beginner-friendly projects are practical, easy to understand, and can be expanded into more advanced networking tools as your Python skills grow.
Happy Coding! 🚀






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