Price Tracker REST API

Price Tracker REST API is a Go-based web service that tracks product prices from ebuyer.com e-commerce website. It allows users to monitor price changes over time and fetches the latest prices daily using a scheduled task.

Features

• Track product prices from specified URLs.
• Schedule daily price checks at a specific time.
• RESTful endpoints to manage tracked products and their price histories.
• MongoDB integration for storing product and price data.

Prerequisites

• Go 1.16 or later
• MongoDB

Installation

1. Clone the repository:

   git clone https://github.com/KemalBekir/price-tracker-rest-api-go.git
   cd price-tracker-rest-api-go
   

2. Install Go dependencies:

   go mod tidy
   

3. Set up environment variables:

   Create a .env file in the root directory and configure your MongoDB connection string:

   MONGODB_URI=mongodb://localhost:27017
   DB_NAME=priceTracker
   

Running the Application

Backend

1. Run the backend server:

   go run main.go
   

   The server will start on http://localhost:5000.

Frontend

If you have a frontend application (assuming it runs on http://localhost:5173), make sure it is running.

API Endpoints

Product Management

• Get All Products

  GET /
  

• Get Product by ID

  GET /:id
  

• Add New Product

  POST /scrape
  Body: {
    "url": "string"
  }
  

Scheduled Tasks

The application uses a cron job to update the prices of all tracked products daily at 23:00.

The cron job is configured in the main.go file:

c := cron.New()
_, err = c.AddFunc("0 23 * * *", func() {
    err := services.UpdatePrices(searchesCollection, pricesCollection)
    if err != nil {
        log.Printf("Error updating pricing: %v", err)
    } else {
        log.Println("Price update completed successfully.")
    }
})
c.Start()

Code Structure

• main.go: Entry point of the application, initializes the server and the cron job.
• internal/db: Database connection and setup.
• internal/router: HTTP router and endpoints.
• internal/services: Business logic, including the price update logic.
• internal/handler: HTTP handlers for managing products and scraping.
• model: Data models for MongoDB collections.