Skip to content

Instagram Automation Tools leveraging Instagrapi

Notifications You must be signed in to change notification settings

ridhotamma/Project-Roy

Repository files navigation

Social Media Post Automation

GitHub stars GitHub forks GitHub issues GitHub license

🚀 Overview

Welcome to the Social Media Post Automation project! This tool is designed to automate Instagram posts, stories, and much more. Whether you're looking to upload in bulk, schedule content, or streamline your social media management, this project has you covered.

✨ Features

  • Bulk Post Upload: Upload multiple posts at once with ease.
  • Bulk Story Upload: Share multiple stories in a single go.
  • Content Scheduling: Plan and schedule your posts and stories for future dates and times.
  • Automatic Posting: Automate your posts to go live at the optimal times.
  • Detailed Analytics: Get insights and analytics on your posts and stories.
  • User-Friendly Interface: Simple and intuitive interface for seamless navigation.
  • Multi-Account Management: Manage multiple Instagram accounts effortlessly.

🛠️ Technologies Used

  • FastAPI: For building the backend API.
  • React: For building the frontend interface.
  • Celery: For handling asynchronous tasks.
  • MongoDB: For storing data.
  • Redis: For task queuing.

📸 Screenshots

Dashboard Screenshot Bulk Upload Screenshot

📚 Getting Started

Prerequisites

  • Python 3.9+
  • Node.js 14+
  • MongoDB
  • Redis

Installation

  1. Clone the repository:

    git clone https://github.com/ridhotamma/Project-Roy.git
    cd ./Project-Roy
  2. Project Setup

    Create a virtual environment for the backend FastAPI:

    If on macOS/Linux:

    python3 -m venv venv

    If on Windows:

    python -m venv venv

    Activate the virtual environment:

    If on macOS/Linux:

    source venv/bin/activate

    If on Windows:

    .\venv\Scripts\activate

    Install backend dependencies:

    pip install -r requirements.txt

    Install frontend dependencies:

    cd ./frontend
    npm install
  3. How to run the project

    Run the backend:

    uvicorn app.main:app --reload

    Run the frontend:

    cd ./frontend && npm run dev

    If you are using macOS, just run using the Makefile:

    make start-dev
  4. Running with Docker

    Using Docker Compose:

    docker-compose up --build -d

P.S. The frontend is still in progress. You can play around with the Swagger docs at http://localhost:8000/docs.

About

Instagram Automation Tools leveraging Instagrapi

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published