Telegram Auto Welcome Bot

A production-ready automation that greets new Telegram members the instant they join, assigns roles or tags, and kicks off onboarding flows — all without touching the Telegram Bot API limits. This Telegram Auto Welcome Bot runs on real Android devices or emulators, reliably mimicking human actions to avoid detection and deliver consistent results for communities, brands, and support teams.

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

What it does: Automatically detects new members joining Telegram groups/channels and sends personalized welcome messages, FAQs, rules, and quick-action buttons. It can also log joins, tag users, and trigger onboarding sequences.

Workflow it automates: The repetitive task of watching chats, greeting newcomers, sharing starter info, and collecting first responses — across multiple accounts and devices.

Benefit: Faster onboarding, consistent messaging, and measurable community growth with minimal manual effort.

Automating Telegram Community Onboarding

• Detects new joins instantly via Android UI events; sends human-like welcome replies with delays and variations.
• Works on real devices and popular emulators (Bluestacks, LDPlayer, etc.) with optional no-ADB wireless control.
• Multi-account, multi-device execution enables parallel onboarding at scale with per-group rules.
• Built-in anti-patterns: randomized typing, varied delays, and scroll/tap jitter to emulate real users.

Core Features

• Real Devices and Emulators: Run on physical Android phones or emulators (Bluestacks/LDPlayer). Consistent UI synchronization, robust to Telegram UI updates.
• No-ADB Wireless Automation: Control devices over Wi-Fi using Accessibility + input bridges; zero USB tethering in production racks.
• Mimicking Human Behavior: Randomized delays, typing cadence, natural scroll/tap variance, and cooldown windows to evade heuristics.
• Multiple Accounts Support: Profile containers with isolated caches, distinct Telegram accounts, and separate rule sets per community.
• Multi-Device Integration: Dispatch workers to a device farm; each device handles distinct groups/channels concurrently.
• Exponential Growth for Your Account: Convert joins into engagement with auto-replies, rule acknowledgment, and CTA flows to drive retention.
• Premium Support: Priority debugging, device-farm hardening, and custom onboarding flows tailored to your community.
• Smart Scheduling & Rate Limits: Time windows, quiet hours, join-burst dampeners, and adaptive pacing based on recent activity.
• Proxy & Fingerprint Management: Per-account proxy routing and device fingerprint separation to reduce correlation risks.
• Modular Workflow Builder: Compose steps (detect → greet → pin → log → DM) via YAML; hot-reload without redeploys.

Additional Capabilities

Feature	Description
Rule-Based Welcome Templates	Per-group YAML templates with variables: {first_name}, {username}, {group_title} and conditional blocks.
Button & Link CTAs	Sends inline buttons/links to rules, forms, or onboarding guides; tracks click-through signals.
Auto-Moderation Hooks	Optional checks for banned keywords on first message; soft-warn or escalate to moderator queue.
Join Event Logging	Structured logs to JSON/CSV; optional push to webhooks, Kafka, or Google Sheets for analytics.
Retry & Backoff Engine	Resilient actions with exponential backoff, idempotency keys, and crash-safe task resumes.
Secrets & Config Vault	Environment-based credential loading with .env and encrypted keystores for account data.

How It Works

1. Input or Trigger — From the Appilot dashboard, select target devices/accounts and groups. Set welcome templates, quiet hours, and throttles; start the session.
2. Core Logic — Appilot orchestrates UI Automator/Accessibility to watch Telegram join events, open the group thread, and craft messages using your YAML template and variables.
3. Output or Action — Sends the welcome post (and optional DM), pins messages if configured, and records actions to logs/metrics backends.
4. Other functionalities — Automatic retries, screenshot-on-failure, structured logging, and parallel workers; hot-reload rules without restarting devices.
5. Observability — Live dashboard: per-device health, action timelines, and join → message conversion stats.

Tech Stack

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

Directory Structure

telegram-auto-welcome-bot/
│
├── src/
│ ├── main.py
│ ├── bot/
│ │ ├── detectors/
│ │ │ ├── join_watcher.py
│ │ │ └── ui_events.py
│ │ ├── actions/
│ │ │ ├── send_message.py
│ │ │ ├── pin_message.py
│ │ │ └── dm_user.py
│ │ ├── workflows/
│ │ │ ├── welcome_runner.py
│ │ │ └── scheduler.py
│ │ └── utils/
│ │ ├── logger.py
│ │ ├── device_bridge.py
│ │ ├── template_engine.py
│ │ └── rate_limit.py
│ └── adapters/
│ ├── appilot_client.py
│ ├── adb_client.py
│ └── webhook_client.py
│
├── config/
│ ├── settings.yaml
│ ├── templates/
│ │ ├── general_welcome.yaml
│ │ └── vip_welcome.yaml
│ ├── devices.yaml
│ └── credentials.env
│
├── dashboards/
│ └── grafana.json
│
├── logs/
│ └── runtime.log
│
├── output/
│ ├── events.json
│ └── report.csv
│
├── tests/
│ ├── test_templates.py
│ └── test_rate_limit.py
│
├── docker/
│ ├── Dockerfile
│ └── compose.yaml
│
├── requirements.txt
└── README.md

Use Cases

• Community managers use it to auto-greet and share rules with new members, so they can reduce churn and improve first-day engagement.
• Support teams use it to route newcomers to FAQs and forms, so they can cut repetitive questions by 40–60%.
• Growth marketers use it to trigger CTAs and track conversions, so they can measure onboarding impact across campaigns.
• Agencies run it on multi-device farms for multiple clients, so they can deliver consistent onboarding at scale.

FAQs

How do I configure this for multiple accounts?
Add account entries in credentials.env and map each to a device profile in devices.yaml. The scheduler distributes groups across devices with isolated caches and proxies.

Does it support proxy rotation or anti-detection?
Yes. Per-account proxy settings and fingerprint separation are supported. Human-like typing, randomized delays, and motion variance reduce behavioral flags.

Can I schedule quiet hours and rate limits?
Absolutely. Define quiet-time windows and per-minute/hour caps in settings.yaml. The system adapts pacing when join bursts happen.

Can it run without USB using only Wi-Fi?
Yes. Use the No-ADB Wireless Automation mode to operate devices over Wi-Fi with Accessibility-driven inputs.

Performance & Reliability Benchmarks

• Execution Speed: Sub-2s reaction time from join detection to queued welcome on warmed devices; ~5–8s cold-start on mid-tier emulators.
• Success Rate: 95% end-to-end delivery in steady-state networks with retry/backoff on UI race conditions.
• Scalability: Proven on 300–1000 Android instances using parallel workers and shard-aware scheduling.
• Resource Efficiency: Single vCPU emulator handles 12–18 welcome actions/min with <350MB additional RAM footprint per worker.
• Error Handling: Exponential backoff, screenshot-on-failure, structured logs, dead-letter queues, and Slack/Webhook alerts for escalations.

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