Flight Analysis

Abstract

1. Introduction

A Python package for scraping flight data from Google Flights and analyzing flight prices.

2. Objective

Python package to scrape flight data from Google Flights and analyzes prices. Can determine optimal flight from date, place, and price

This project demonstrates how Python, Pandas can be applied to a real-world Data Science problem.

3. Key Features / Modules

• Scrape flight data from Google Flights (round-trip, one-way, multi-city)
• Store in SQLite database for historical analysis
• CLI interface for agents and automation
• Price history tracking and analysis
• Scheduled scraping via GitHub Actions

4. Technology Stack

5. System Requirements

General requirements for this technology stack — check the README for exact versions.

• Python 3.8 or later
• pip / virtualenv for dependencies
• VS Code, PyCharm or Jupyter Notebook
• Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/celebi-pkg/flight-analysis.git
cd flight-analysis

pip install google-flight-analysis

git clone https://github.com/celebi-pkg/flight-analysis
cd flight-analysis
pip install -e .

# Get current price for a route
flight-cli price JFK LAX -d 2026-06-01

# Scrape and store flight data
flight-cli scrape JFK LAX -d 2026-06-01

# Database operations
flight-cli db init
flight-cli db routes
flight-cli db history JFK LAX --days 30

Full setup instructions are in the project README.

7. Future Enhancements

Suggested extensions you can add to make this your own project.

• Turn the analysis into an interactive dashboard
• Automate data refresh with a scheduled job
• Add a predictive model on top of the analysis

8. Viva / Review Questions

Common questions examiners ask for projects in this domain.

1. What is the source of the dataset and how was missing data handled?
2. Which exploratory analysis steps revealed the most useful insight?
3. Why were these particular charts chosen to present the data?
4. Which statistical or ML technique supports the conclusions?
5. How could the analysis be automated or refreshed with new data?

9. Source Code & License

This project is developed by celebi-pkg and published on GitHub under the MIT License. Please follow the license terms and credit the original author when you use or modify this code.