shopify-mock-products v1.0.0

Shopify Mock Products Generator

This Node.js application generates a CSV file with mock product data for Shopify stores. It allows you to create a specified number of products within a given category and includes product images fetched from the Pexels API.

Features

• Generates mock product data based on a specified category
• Includes product images from the Pexels API
• Exports data to a Shopify-compatible CSV file

Prerequisites

• Node.js (version 14 or later recommended)
• NPM (Node Package Manager)
• Pexels API key

Installation

1. Clone the repository:

git clone https://github.com/yourusername/shopify-mock-products.git

2. Change the current directory to the project folder:

cd shopify-mock-products

3. Install the required dependencies:

npm install

4. Set up the environment variables: Create a .env file in the project's root directory and add your Pexels API key:

PEXELS_API_KEY=your_pexels_api_key_here

Replace your_pexels_api_key_here with your actual Pexels API key.

Usage

To generate mock products, run the following command:

node app.js "Category" NumberOfProducts

Replace Category with the desired product category (e.g., "Electronics") and NumberOfProducts with the number of products you want to generate (e.g., 10).

Example:

node app.js "Electronics" 10

This command will generate a CSV file named shopify_products.csv containing 10 mock electronic products.

NOTE / TODO

• The amount argument is a maximum, but you will most likely get less, because ones w/o images are discarded
• Main improvement would be to have higher quality images, currently using Pexels, but considering other options including adding better keywords for filtering
• You can request any amount you want; however, over 100 at once, there may be errors

Contributing

Contributions are welcome! If you'd like to contribute, please create a fork of this repository, make your changes, and submit a pull request. If you have any questions or need assistance, feel free to open an issue.

License

This project is licensed under the MIT License. For more information, see the LICENSE file.