Dmytro Rozhkov
The Forecasts Parser project is designed to scrape sports forecasts from a third-party website, filter them based on specific criteria, and manage the data effectively. High-quality forecasts that meet the set criteria are saved into a database. Additionally, the system sends email notifications containing a table with the most crucial information about each forecast.
Features:
Web Scraping: Efficiently extracts sports forecasts from a designated third-party website.
Data Filtering: Implements robust filtering criteria to identify and retain high-quality forecasts.
Database Management: Stores validated forecasts in a structured and secure database.
Email Notifications: Automatically sends email alerts with a table summarizing key forecast information.
Admin Panel: Provides an admin interface to view new forecasts and server logs, facilitating monitoring and troubleshooting.
Deployment: Fully deployed and managed on AWS for scalability and reliability.
This project ensures that users receive timely and relevant information about sports forecasts, enhancing their decision-making process through automated data collection and processing. The added admin panel allows for easy monitoring of new forecasts and access to server logs to address any potential issues promptly.