Threads Auto DM Bot

Automate personalized direct messages on Instagram Threads with human-like precision across real devices and emulators. This project removes the grind of manual outreach, handles smart throttling and rotations, and delivers measurable growth through safe, scalable automation. If you need a reliable Threads Auto DM Bot, this repo shows a production-ready approach from device control to delivery analytics.

     

Created by Appilot, built to showcase our approach to Automation!
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Introduction

This system automates sending, replying, and managing DMs on Instagram Threads at scale. It replaces repetitive outreach workflows—account switching, message templating, lead queue handling, and safety checks—with a robust, dashboard-controlled pipeline. The result is consistent engagement, faster responses, and predictable growth for brands and creators.

Automating Threads Direct Messaging at Scale

• Queue-driven outreach with templates, spin-text, variables, and dynamic personalization.
• Smart pacing per account/device with cooldowns, human-like delays, and jitter.
• Proxy, fingerprint, and session isolation for safer large-scale operations.
• Resilient retries, screenshot-based verification, and message delivery audits.
• Works on real devices and emulators with no-ADB wireless control via Appilot.

Core Features

• Real Devices and Emulators: Run on physical Android phones/tablets and popular emulators (Bluestacks/Nox). Device profiles, resolutions, and input latencies are respected for more “real” behavior.
• No-ADB Wireless Automation: Appilot’s agent enables secure, wireless control without exposing ADB ports—reducing flags and improving operational safety on shared networks.
• Mimicking Human Behavior: Randomized tap paths, typing cadence, dwell times, scroll physics, and micro-pauses emulate authentic usage and minimize pattern detection.
• Multiple Accounts Support: Account pools with independent quotas, proxy bindings, session cookies, and per-account schedules to avoid cross-contamination.
• Multi-Device Integration: Orchestrate 10–1000+ devices with queues and workers. Horizontal scaling via device farms and cloud emulators.
• Exponential Growth for Your Account: Consistent DM throughput, auto-warmed accounts, and engagement loops (reply handling, follow-backs) compound reach over time.
• Premium Support: SLA-backed onboarding, device farm guidance, and custom feature development for enterprise needs.
• Template & Personalization Engine: Spin syntax, {variables}, CSV ingestion, and conditional blocks for hyper-relevant DMs.
• Safety & Throttling Policies: Daily/hourly caps, cool-downs, burst control, and time-window scheduling aligned with platform norms.
• Observability & Alerting: Structured logs, device snapshots, delivery metrics, and webhook/Discord/Slack alerts for failures or rate-limit signals.

Additional Feature Set

Feature	Description
Lead Pipeline Manager	Import targets from CSV/API, deduplicate, prioritize, and route to eligible accounts/devices.
Reply Automations	Keyword/intention-based reply rules, follow-ups, and escalation to human agents.
Proxy & Fingerprint Routing	Residential/mobile proxies per account; persistent identity and rotation policies.
Scheduler & Timezones	Cron-like windows with per-geo local time rules; quiet hours and weekend modes.
A/B Message Testing	Test multiple templates, track open/reply rates, and auto-promote winners.
Compliance Guardrails	Opt-out lists, blocklists, and content filters to respect user preferences.

How It Works

1. Input or Trigger — From the Appilot dashboard, define targets (CSV/API), message templates, schedules, and device/account assignments. Start a run or set recurring windows.
2. Core Logic — Workers control Android devices/emulators via UI Automator/Appilot (optionally Appium) to open Threads, navigate to profiles, compose DMs with variables, and send with human-like timing.
3. Output or Action — Messages are delivered and logged with status (sent/failed/retry). Replies are captured for follow-up rules or routed to human agents.
4. Other functionalities — Retry with backoff, screenshot checks, error tagging, structured logging, and parallel processing. Webhooks can trigger CRM updates or analytics pipelines.

Tech Stack

• Language: Kotlin, Java, JavaScript, Python
• Frameworks: Appium, UI Automator, Espresso, Robot Framework, Cucumber
• Tools: Appilot, Android Debug Bridge (ADB), Appium Inspector, Bluestacks, Nox Player, Scrcpy, Firebase Test Lab, MonkeyRunner, Accessibility
• Infrastructure: Dockerized device farms, Cloud-based emulators, Proxy networks, Parallel Device Execution, Task Queues, Real device farm

Directory Structure

threads-auto-dm-bot/
│
├── src/
│ ├── python/
│ │ ├── main.py
│ │ ├── workers/
│ │ │ ├── device_worker.py
│ │ │ ├── scheduler.py
│ │ │ └── reply_handler.py
│ │ └── utils/
│ │ ├── logger.py
│ │ ├── fingerprint.py
│ │ ├── proxy_manager.py
│ │ └── metrics.py
│ ├── java/
│ │ └── ui-automator/
│ │ ├── build.gradle
│ │ └── src/main/java/com/appilot/threads/UiFlows.java
│ └── js/
│ └── dashboard-sdk/
│ ├── index.js
│ └── client.js
│
├── automation/
│ ├── flows/
│ │ ├── open_threads.yaml
│ │ ├── compose_dm.yaml
│ │ └── verify_delivery.yaml
│ └── policies/
│ ├── throttling.yaml
│ ├── safety_rules.yaml
│ └── schedules.yaml
│
├── config/
│ ├── settings.yaml
│ ├── templates/
│ │ ├── welcome_spin.txt
│ │ └── followup_spin.txt
│ ├── accounts.csv
│ └── proxies.csv
│
├── data/
│ ├── leads.csv
│ └── opt_out.csv
│
├── logs/
│ ├── device/
│ └── runs/
│
├── output/
│ ├── reports/
│ │ ├── sent_summary.csv
│ │ └── ab_test_results.csv
│ └── screenshots/
│
├── infra/
│ ├── docker/
│ │ ├── docker-compose.yml
│ │ └── worker.Dockerfile
│ └── k8s/
│ ├── deployments.yaml
│ └── secrets.example.yaml
│
├── media/
│ └── threads-auto-dm-bot-banner.png
│
├── .env.example
├── requirements.txt
├── package.json
└── README.md

Use Cases

• Creators use it to welcome new followers with personalized DMs, so they can build relationships at scale without manual effort.
• Agencies use it to run targeted campaigns for multiple clients, so they can boost engagement and conversions predictably.
• E-commerce brands use it to send promo codes and recover abandoned carts, so they can increase revenue from social traffic.
• Community managers use it to answer FAQs and route complex queries, so they can maintain fast response times.

FAQs

How do I configure this automation for multiple accounts?
Add accounts to config/accounts.csv, bind each to a proxy in config/proxies.csv, and set per-account quotas in automation/policies/throttling.yaml. The scheduler assigns accounts to devices automatically.

Does it support proxy rotation or anti-detection?
Yes. Each account maps to a residential/mobile proxy, with sticky sessions or rotation windows. Fingerprinting utilities ensure consistent device identity across runs.

Can I schedule it to run periodically?
Absolutely. Define time windows and cron-like rules in automation/policies/schedules.yaml to run during safe hours per timezone.

What happens if a DM fails to send?
The worker retries with exponential backoff, takes a screenshot for diagnostics, tags the error, and—if limits are suspected—parks the account until the next window.

Performance & Reliability Benchmarks

• Execution Speed: ~20–45 DMs per device per hour (configurable), with adaptive pacing based on live feedback signals.
• Success Rate: 95% observed message-send success on healthy accounts with proper warm-up and proxy hygiene.
• Scalability: Proven patterns for 300–1000 concurrent Android devices/emulators using queue workers and horizontal sharding.
• Resource Efficiency: Lightweight workers (<200MB RSS each) with batched I/O and headless emulator modes for dense packing.
• Error Handling: Structured logs, screenshot evidence, tagged exceptions, retry with jitter, circuit-breakers for rate limits, and alerting via webhooks/Discord/Slack.