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Enterprise Automation

Instagram Social Media Marketing Farm

A multi-device, multi-clone automation engine designed to execute large-scale Instagram actions intelligently using phones, time slots, and dynamic scheduling.

Project Overview

This system performs Instagram actions such as likes, saves, comments, and combined interactions across multiple Android phones and multiple Instagram clones per device. Tasks are fetched automatically from an external SSM panel and executed in a controlled, scalable, and fault-tolerant manner.

Purpose & Scope

The purpose of this system is to automate large-scale Instagram execution across real devices while maintaining scheduling control, clone isolation, and recovery handling. Its scope includes order ingestion, job splitting, device and slot allocation, execution tracking, fallback routing, and warm-up automation.

Core Features

  • Multi-phone, multi-clone task execution
  • Quantity-based task distribution across devices
  • Automatic duplicate-prevention per clone and post
  • Smart fallback when a clone fails
  • Warm-up routines when no tasks are available
  • Continuous polling for new jobs every minute

Automation Workflow

  • Orders are fetched from the SSM panel at fixed intervals
  • Jobs are stored locally and split based on required quantity
  • Available phones, clones, and time slots are selected
  • Each execution runs on a unique clone and slot
  • Status updates are sent back to the SSM panel on completion

System Architecture

The architecture combines an external order ingestion layer, a local execution database, and a scheduler-driven automation engine. Time-slot logic assigns each clone controlled execution windows, and fallback routing moves failed jobs to other available clones without repeating interactions.

Technology Stack

Python ADB Android Automation Supabase / PostgreSQL Scheduler Engine SSM Panel Integration

Use Cases

Designed for social media marketing teams and automation specialists who need reliable, large-scale Instagram execution across real devices while maintaining safety, isolation, and consistency.