Multilanguage Telegram Bot with Dynamic Language Support

This n8n workflow creates a multilingual Telegram bot that triggers on incoming messages, extracts the chat ID and user's language code, and dynamically selects responses from a language dictionary loaded via HTTP requests (replacing deprecated NocoDB nodes). It uses a Switch node to route commands such as /start and /help, with fallback handling for other inputs, ensuring seamless multilingual interactions.

Key benefits include effortless addition of new languages by updating the dictionary without modifying the workflow, reducing maintenance overhead. It supports scalable bot deployments for global audiences, with features like language fallback to English if unsupported. Ideal for customer support, FAQs, or interactive bots where localization boosts user engagement.

Use cases: Deploy for e-commerce order tracking in multiple languages, multilingual onboarding flows, or community management bots. Handles API quirks gracefully and provides a robust foundation for extending with more commands or integrations like databases or AI services.