Instagram DM Automation is a production-ready instagram dm bot system built specifically for Android-based mobile automation. It automates direct message workflows inside the Instagram Android app, allowing controlled message sending, replies, and conversation handling while closely mirroring real user behavior.
The project is designed as an extensible instagram message bot, focusing on reliability, observability, and predictable execution on physical or emulated Android devices.
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Handling Instagram direct messages manually becomes difficult as inbox volume grows. Replying to repetitive inquiries, sending outreach messages, and maintaining response consistency across multiple conversations requires continuous attention.
This repository demonstrates instagram automation dm implemented as a mobile-first system. By using a structured instagram dm automation bot, teams can manage messaging workflows through a configurable instagram dm automation tool that operates entirely within the Android application.
At a high level, the system functions as an instagram auto dm bot that interacts with inbox threads, message composers, and conversation views using Android UI automation.
All messaging behavior is executed through instagram direct message automation, ensuring messages are sent, received, and validated using the same UI paths available to real users.
| Feature | Description |
|---|---|
| Bulk Messaging | Sends messages using instagram bulk dm workflows with pacing controls |
| Message Templates | Supports reusable templates for automated instagram messages |
| Auto Message Execution | Executes instagram auto message instagram flows inside the app |
| Inbox Navigation | Navigates threads and unread messages reliably |
| Cooldown Controls | Applies delays between actions to avoid rapid execution |
| Conversation State | Tracks message state across sessions |
| Retry Logic | Retries failed sends or interrupted flows |
| Execution Logs | Records every action and message outcome |
The system supports structured workflows commonly associated with instagram outreach automation, allowing controlled message sequences for first-contact conversations.
It can also be configured for instagram lead generation dm scenarios, where inbound replies are captured and categorized. In carefully scoped setups, the automation may resemble an instagram dm marketing bot, while remaining focused on workflow automation rather than mass messaging.
The automation operates by controlling the Instagram Android application through UI-level interaction. It identifies interface elements, performs gestures, and validates screen transitions before sending or reading messages.
This approach ensures instagram direct message automation remains aligned with real app behavior, without relying on unofficial network interception or browser-based scripts.
This project is built as an open source instagram dm bot with Android automation at its core.
- Implemented as a python instagram dm bot
- Uses Appium, ADB, and UIAutomator for device control
- Structured for collaboration and versioning via instagram dm bot github
- Organized as a modular instagram dm automation script with reusable components
The architecture allows new messaging workflows to be added without modifying the core execution engine.
instagram-dm-automation/
├── src/
│ ├── main.py
│ ├── bot/
│ │ ├── inbox_manager.py
│ │ ├── message_sender.py
│ │ ├── conversation_state.py
│ │ └── template_engine.py
│ ├── mobile/
│ │ ├── appium_driver.py
│ │ ├── ui_selectors.py
│ │ └── gesture_utils.py
│ ├── automation/
│ │ ├── workflow_runner.py
│ │ └── scheduler.py
│ ├── utils/
│ │ ├── logger.py
│ │ ├── rate_limiter.py
│ │ └── config_loader.py
├── config/
│ ├── workflows.yaml
│ └── devices.env
├── logs/
│ └── instagram_dm_automation.log
├── output/
│ ├── sent_messages.json
│ └── conversation_states.csv
├── tests/
│ └── test_dm_flows.py
├── requirements.txt
└── README.md
It navigates the Instagram Android app, opens message threads, composes messages, and sends them using UI automation while validating each step.
Instagram DMs can be automated by controlling the Android app with mobile automation tools, defining message workflows, and applying pacing and validation logic.
Automated messages are sent by opening conversation threads, inserting predefined templates, and confirming delivery through the app interface.
Automation should follow platform usage rules. This project focuses on demonstrating technical automation patterns rather than policy circumvention.
Yes. The system runs locally with full control over devices, execution timing, logs, and recovery behavior.
- Execution Speed: Operates at human-like speed based on UI response times
- Success Rate: Designed for over 90% successful message delivery with retries
- Scalability: Supports parallel execution across multiple Android devices
- Resource Usage: Moderate CPU and memory usage per connected device
- Error Handling: Includes retries, screen recovery logic, and structured logging
- Demonstrate Android-based Instagram DM automation patterns
- Provide a clean reference for mobile messaging automation
- Encourage system-based design over fragile scripts
- Maintain clarity, reliability, and operational transparency
