✈️ PHX Flight Data Scraper & Tracker

A Python-based web application that scrapes live flight data from Phoenix Sky Harbor International Airport (PHX) and displays it through a Flask-powered web interface. Includes optional automation for sending periodic flight updates via email to subscribed users.

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Features

• Live Data Scraping — Pulls current flight information from PHX airport’s public data.
• Web Interface — Flask app with HTML/CSS front-end for easy viewing of flight details.
• Optional Email Notifications — Automatically sends flight updates to subscribers. ()
• Data Formatting — Cleans and formats scraped data for user-friendly display.
• Customizable — Easily update scraping targets or display styles.

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Technologies Used

• Python
• Flask — Web framework for serving data.
• HTML / CSS — Front-end display.
• Selenium — Data scraping & parsing.

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Project Structure

PHX-Flight-data/
│── app.py               # Main Flask application
│── scraper.py           # Logic for scraping PHX flight data
│── templates/           # HTML templates for Flask
│── static/              # CSS and static assets
│── requirements.txt     # Python dependencies
│── README.md            # Project documentation

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🚀 Getting Started

Clone the repository

git clone https://github.com/Americana808/PHX-Flight-data.git
cd PHX-Flight-data

Install dependencies

pip install -r requirements.txt

Run the application

python app.py

The app will start locally. Open your browser and go to:

http://127.0.0.1:5000

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Optional Email Notifications

• Feature is disabled by default
• Users can enable it in the code if email notifications if they want to receive scheduled flight status updates
• Configure your email server settings in app.py or a .env file.

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Live Demo

mport6.pythonanywhere.com

Real-world usage:

This application is actively used at my current job at a Phoenix Sky Harbor International Airport kiosk to help monitor real-time flights and provide accurate travel information to customers. The system replaces manual checks, streamlining customer service and improving efficiency.

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Contributing

Pull requests are welcome! If you find any bugs or want to suggest improvements, open an issue or submit a PR.

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Author: Marco Portillo