Telegram bot for automating subscriptions and broadcasts in channels
Developed a high-performance Telegram bot for full automation of subscriber management in private Telegram channels. This bot takes over the routine of moderating requests and effectively interacting with a new audience.
Key features and implemented functionality:
Automatic approval of requests: The bot instantly intercepts and approves join requests to the channel (chat_join_request), without making users wait.
Delivery of Lead Magnet: Immediately after joining, the bot automatically sends the user a personalized greeting in direct messages (for example, bonus material, links, or rules).
Admin panel: A convenient menu for the channel owner displaying detailed statistics (total number of subscribers in the database and the number of new users per day).
Secure mass messaging: Built-in messaging system for all saved users. Protection against Telegram API limits (bypassing FloodWait error) is implemented to prevent bot blocking.
Reliable database: All data (Telegram ID, Username, name, join date) is securely stored for further marketing work.
Technical stack (Tech Stack):
Language: Python 3.12+
Framework: aiogram 3.x
Database: PostgreSQL
ORM: SQLAlchemy 2.0 (Asynchronous work)
Deployment and infrastructure: Docker, Docker Compose
The project is built using modern asynchronous approaches, ensuring stable operation and fast data processing even during high traffic influx. Fully prepared for quick deployment on the client's server (VPS).
#python #telegrambot #aiogram #postgresql #docker #automation #botdevelopment #chatbot #parsing
Key features and implemented functionality:
Automatic approval of requests: The bot instantly intercepts and approves join requests to the channel (chat_join_request), without making users wait.
Delivery of Lead Magnet: Immediately after joining, the bot automatically sends the user a personalized greeting in direct messages (for example, bonus material, links, or rules).
Admin panel: A convenient menu for the channel owner displaying detailed statistics (total number of subscribers in the database and the number of new users per day).
Secure mass messaging: Built-in messaging system for all saved users. Protection against Telegram API limits (bypassing FloodWait error) is implemented to prevent bot blocking.
Reliable database: All data (Telegram ID, Username, name, join date) is securely stored for further marketing work.
Technical stack (Tech Stack):
Language: Python 3.12+
Framework: aiogram 3.x
Database: PostgreSQL
ORM: SQLAlchemy 2.0 (Asynchronous work)
Deployment and infrastructure: Docker, Docker Compose
The project is built using modern asynchronous approaches, ensuring stable operation and fast data processing even during high traffic influx. Fully prepared for quick deployment on the client's server (VPS).
#python #telegrambot #aiogram #postgresql #docker #automation #botdevelopment #chatbot #parsing