[SOLVED] How To Track Location Using Python

This tutorial about How To Track Location Using Python was developed using Python Programming, this simple Python Project With Source Code created using Graphical User Interface (GUI), the purpose of this project is to locate the country name based on the mobile number you input in the textbox.

A tutorial How To Track Phone Number Using Python is just a simple desktop application made using TKinter for them aim of tracking the country through phone number.

Track Phone Number Location Using Python : Project Information’s

Additionally, this is a simple project and for educational purpose only. and this tutorial is good for the beginners or the students who wants to learn Programming, specially Python Programming Language

Moreover, this Track Phone Number Using Python also includes a downloadable Project With Source Code for free, just find the downloadable source code below and click to start downloading.

By the way if you are new to python programming and you don’t know what would be the the Python IDE to use, I have here a list of Best Python IDE for Windows, Linux, Mac OS that will suit for you.

I also have here How to Download and Install Latest Version of Python on Windows.

To start executing this tutorial on How To Track Mobile Location Using Python With Source Code, make sure that you have installed Python 3.9 and PyCharm in your computer.

Steps on how to run the project

Codes on How To Track Location Using Python

Installed Libraries

import json 
import pycountry
from tkinter import Tk, Label, Button, Entry
from phone_iso3166.country import phone_country

Complete Source Code

import json 
import pycountry
from tkinter import Tk, Label, Button, Entry
from phone_iso3166.country import phone_country


class Location_Tracker:
    def __init__(self, App):
        self.window = App
        self.window.title("Phone number Tracker")
        self.window.geometry("500x400")
        self.window.configure(bg="#3f5efb")
        self.window.resizable(False, False)

        #___________Application menu_____________
        Label(App, text="Enter a phone number",fg="white", font=("Times", 20), bg="#3f5efb").place(x=150,y= 30)
        self.phone_number = Entry(App, width=16, font=("Arial", 15), relief="flat")
        self.track_button = Button(App, text="Track Country", bg="#22c1c3", relief="sunken")
        self.country_label = Label(App,fg="white", font=("Times", 20), bg="#3f5efb")

        #___________Place widgets on the window______
        self.phone_number.place(x=170, y=120)
        self.track_button.place(x=200, y=200)
        self.country_label.place(x=100, y=280)

        #__________Linking button with countries ________
        self.track_button.bind("<Button-1>", self.Track_location)
        #255757294146
    
    def Track_location(self,event):
        phone_number = self.phone_number.get()
        country = "Country is Unknown"
        if phone_number:
            tracked = pycountry.countries.get(alpha_2=phone_country(phone_number))
            print(tracked)
            if tracked:
                    if hasattr(tracked, "official_name"):
                        country = tracked.official_name
                    else:
                        country = tracked.name
        self.country_label.configure(text=country)



PhoneTracker = Tk()
MyApp = Location_Tracker(PhoneTracker)
PhoneTracker.mainloop()

Output

Download Source Code below

Summary

This tutorial was developed using Python Programming, this simple Python Project With Source Code created using Graphical User Interface (GUI), The purpose of this project is to locate the country name based on the mobile number you input in the textbox.

Inquiries

If you have any questions or suggestions about How To Track Location Using Python With Source Code, please feel free to leave a comment below.

Angel Jude Suarez

Full-Stack Developer at PIES IT Solution

Focuses on Python development, machine learning, and AI integration. Has built production AI systems including OpenAI Whisper integration for medical transcription and GPT-4o-powered diagnosis assistance. Strong background in pandas, scikit-learn, and TensorFlow.

Expertise: Python · PHP · Java · VB.NET · ASP.NET · Machine Learning · AI Integration · OpenCV · Django · CodeIgniter  · View all posts by Angel Jude Suarez →