Project Overview Developed a Python script to monitor and track flight prices across multiple airlines in real-time, providing alerts and updates on the best available fares.

Technical Challenges

• Real-Time Data Capture: Extracting up-to-date flight information from various airline websites that frequently update their pricing.

• Handling Website Dynamics: Navigating through complex website architectures and dynamic content to access flight data.

Solutions Implemented

• Dynamic Web Scraping: Utilized Selenium to interact with web pages dynamically and BeautifulSoup for parsing HTML content efficiently.

• Scheduled Data Retrieval: Set up scheduled tasks using cron to regularly check and update flight prices.

Project Outcome The script successfully provides timely notifications on flight price changes, helping users to book flights at optimal prices and plan their travels more economically.

Technologies Used

• Languages: Python

• Libraries: Selenium, BeautifulSoup, APScheduler