bynogame price analyst

Price Analyst & Comparison Tool

Welcome to the Price Analyst & Comparison Tool! This application allows you to analyze and compare prices from various sources, including Bynogame.com and the Steam market.

Table of Contents

• Overview
• Technologies Used
• Deployment
• Architecture
• Frontend
• Usage
• Contributing
• License

Overview

This tool provides price analysis and comparison features for products available on Bynogame.com and the Steam market. It includes a backend system for data processing and storage, as well as a frontend interface for users to interact with the analyzed data.

The frontend GitHub repository can be found here.

Technologies Used

• Golang: Used for building the main backend API, as well as the Producer and Consumer components.
• Kafka: Messaging system for data communication.
• MongoDB: Used to store and retrieve data.
• React.js: Frontend framework for the user interface.

Deployment

• Backend:

  • Core API running on Fly.io.
  • Producer and Consumer components are also hosted on Fly.io.
  • Kafka is hosted serverlessly on Upstash.
  • MongoDB is hosted on MongoDB Atlas.

• Frontend: The frontend is deployed on Vercel and can be accessed at https://bynogamepriceanalyst.vercel.app/.

Architecture

The architecture of the system is as follows:

• Producer gathers data from Bynogame.com.
• Consumer consumes data from Kafka and processes it, also gathers data from the Steam market.
• Kafka is used for asynchronous data transfer between components.
• A core API handles data writing to MongoDB and reading from it.

Frontend

The frontend provides an intuitive interface for users to:

• View price analysis results.
• Compare prices from different sources.
• See the latest price
• Percentage between the two sources.

Screenshots

Usage

Access the frontend to start using the tool.

TODO

• Add price history graph.
• Add search and filter options.
• Add pagination.
• Add Filter by item type, quality, rarity and exterior.
• Add Filter by item quality.
• Add notifications for low listing prices.

Contributing

Feel free to open issues or submit pull requests to this GitHub repository.

License

This project is licensed under the MIT License.