Telegram Bot Development (Python/Node.js) — Full Stack

I build Telegram bots end to end — from the first conversation about what you actually need, through development and testing, all the way to a deployed bot running in production with monitoring in place. Over the years I have shipped bots of every shape: simple notification senders, multi-step order wizards, paid-subscription gateways, and bots that quietly glue together a company's internal tools. Whatever the idea, I start by turning it into a clear specification, so we both know exactly what is being built before a single line of code is written.

On the technical side I work in Python with aiogram 3 or in Node.js with grammY and telegraf, backed by PostgreSQL or MongoDB and Redis. I handle the parts that make a bot genuinely useful rather than a toy: real payment flows, integrations with CRMs and spreadsheets, and a proper web admin panel so you can manage content, users, and broadcasts without touching the code. Because a bot that falls over at three in the morning helps no one, I deploy on a VPS with systemd or Docker, wire up error monitoring, and set up CI/CD so future changes go live safely.

You receive the full source code, documentation, and thirty days of post-launch support so any rough edges get smoothed out.

— Bot architecture: multi-step wizards, state machines, keyboards; inline mode; group and channel bots; webhook or long-polling
— Payments: Telegram Stars, Stripe, YooKassa, LiqPay
— Integrations: Bitrix24, amoCRM, HubSpot; Google Sheets, Notion, Airtable; REST/GraphQL APIs; S3 for media
— Admin panel: web dashboard for content, users and broadcasts; analytics — DAU, retention, conversion funnels; CSV/Excel export
— Infrastructure: VPS with systemd/Docker, Sentry monitoring, CI/CD
— Stack: Python aiogram 3 or Node.js grammY, PostgreSQL, Redis, FastAPI/Express
— Delivery: source code, documentation, 30-day post-launch support