OmitPlastic

This full-stack app is designed to help people reduce plastic consumption by purchasing products with less plastic content. However, this full-stack e-commerce affiliate app that uses Next.js, Prisma, and MySQL can be adapted for other types of products. The affiliate marketing program used is Amazon Associates.

Technology

• TypeScript - strongly typed programming language
• ReactJS - user interface library
• NextJS - React framework for production
• Tailwind CSS - CSS framework
• MySQL - relational database management system
• Prisma - Node.js and TypeScript Object Relational Mapper
• Neon - database platform
• SWR - React hooks for data fetching
• Vercel - platform for deploying and hosting
• React Spring - component animations
• Cheerio - library for parsing and manipulating HTML and XML

Setup

• Clone this repository to your local computer.
• Install the dependencies for the project: npm install or yarn install
• Create a free account and database on Neon.
• Bootstrap a basic Prisma setup: npx prisma init
• Create the tables in the database using Prisma: npx prisma db push
• Open the example.env file and replace the dummy connection URL DATABASE_URL with 'postgresql://<DATABASE_NAME>'
• Run the application locally: npm run dev or yarn dev
• Open http://localhost:3000/ in your browser.
• To deploy to Vercel read this.

Data Model Definition - Product

model Product {
  id          Int     
  asin        String  
  price       String  
  category    String
  type        String
  name        String 
  slug        String  
  imageUrl    String 
  url         String
  description String? 
  features    String
}

Edit Database Schema

• Open the schema.prisma file.
• After you have made your changes, run npx prisma db push to update the database.
• Go here for more information about the Prisma schema file.

Edit Prisma Tables

• Run the command npx prisma studio
• This opens Prisma Studio.

Scraping Amazon Web Page For Pricing

• This app checks for and updates the prices for all products by scraping its corresponding Amazon web page.
• To view the Node.js code for this, go to the pages/api/price page.
• The Cheerio library is used to parse and traverse markup data to get pricing and availability.