The instagram-auto-dm-automation-bot automates sending targeted Instagram direct messages at scale, removing the repetitive manual effort involved in outreach. This tool helps creators, marketers, and businesses reach more users consistently while keeping workflows efficient and reliable. By handling scheduling, messaging, and safety guardrails, the bot delivers a smooth and dependable automation experience.
This automation tool sends personalized auto-DMs to selected Instagram users. It replaces repetitive outreach tasks with a structured automation flow. Users and businesses benefit from increased engagement without manual workloads.
- Removes manual messaging and replaces it with scheduled automation.
- Supports personalized templates and randomized pacing for safer behavior.
- Ensures consistent outreach for marketing and community engagement.
- Reduces human error in repetitive communication workflows.
- Works with proxy configurations for multi-account scalability.
| Feature | Description |
|---|---|
| Auto DM Sender | Automatically sends direct messages to selected usernames |
| Template Personalization | Uses dynamic message templates for human-like messaging |
| Proxy Rotation | Supports rotating proxies to reduce detection risk |
| Account Session Isolation | Keeps each Instagram account in separate session containers |
| Scheduler | Runs tasks periodically without manual triggering |
| Target Import | Loads user lists from CSV, JSON, or APIs |
| Logging System | Stores detailed logs for debugging and performance |
| Retry & Backoff | Retries failed sends based on smart backoff rules |
| Analytics Summary | Generates daily statistics for sent and successful messages |
| Safety Controls | Limits messaging rates to avoid bans |
Input or Trigger User loads target handles, message templates, and schedule configuration.
Core Logic Worker processes iterate through targets, personalize messages, and send via automated browser or API-like flows.
Output or Action Messages are delivered, logged, and summarized into daily reports.
Other Functionalities Proxy management, session resets, pacing randomization, and template injection.
Language: Python
Frameworks: Selenium, AsyncIO
Tools: Scheduler, Proxy Manager, Logging System
automation-bot/
├── src/
│ ├── main.py
│ ├── automation/
│ │ ├── tasks.py
│ │ ├── scheduler.py
│ │ └── utils/
│ │ ├── logger.py
│ │ ├── proxy_manager.py
│ │ └── config_loader.py
├── config/
│ ├── settings.yaml
│ ├── credentials.env
├── logs/
│ └── activity.log
├── output/
│ ├── results.json
│ └── report.csv
├── requirements.txt
└── README.md
Marketers use it to auto-send DMs to targeted audiences, so they can scale outreach without manual grind. E-commerce teams use it to update listings across multiple stores, so they can keep catalogs consistent. Community managers use it to moderate and engage faster, so they can improve response times. QA engineers use it to execute end-to-end device tests, so they can catch regressions pre-release.
How do I configure this automation for multiple accounts? Set up independent profiles with their own session folders, environment variables, and isolated proxy assignments.
Does it support proxy rotation or anti-detection? Yes — proxy pools, randomized time gaps, device-like behavior, and request pacing help minimize detection.
Can I schedule it to run periodically? Use the built-in scheduler to define intervals, cron-like patterns, queued tasks, and retry sequences.
What about emulator vs real device parity? Most features work on both; real devices are preferred when testing platform-specific behavior.
Execution Speed: Handles ~35–50 DM actions/min across standard worker setups.
Success Rate: 93–94% reliability over long-running outreach tasks with retries.
Scalability: Supports 300–1,000 accounts via distributed workers and sharded queues.
Resource Efficiency: ~300–450MB RAM and ~10–15% CPU usage per worker under load.
Error Handling: Automatic retries, exponential backoff, structured logs, notifications, and safe recovery states.
