This article provides a complete, practical walkthrough of the Openweathermap Telegram Automate Triggered n8n agent. It connects HTTP Request, Webhook across approximately 1 node(s). Expect a Intermediate setup in 15-45 minutes. One‑time purchase: €29.

What This Agent Does

This agent orchestrates a reliable automation between HTTP Request, Webhook, handling triggers, data enrichment, and delivery with guardrails for errors and rate limits.

It streamlines multi‑step processes that would otherwise require manual exports, spreadsheet cleanup, and repeated API requests. By centralizing logic in n8n, it reduces context switching, lowers error rates, and ensures consistent results across teams.

Typical outcomes include faster lead handoffs, automated notifications, accurate data synchronization, and better visibility via execution logs and optional Slack/Email alerts.

How It Works

The workflow uses standard n8n building blocks like Webhook or Schedule triggers, HTTP Request for API calls, and control nodes (IF, Merge, Set) to validate inputs, branch on conditions, and format outputs. Retries and timeouts improve resilience, while credentials keep secrets safe.

Third‑Party Integrations

• HTTP Request
• Webhook

Import and Use in n8n

1. Open n8n and create a new workflow or collection.
2. Choose Import from File or Paste JSON.
3. Paste the JSON below, then click Import.
4. Show n8n JSON

   Title:  
   Automating Real-Time Weather Updates on Telegram with n8n
   
   Meta Description:  
   Learn how to build a Telegram bot using n8n that delivers real-time weather updates from OpenWeatherMap. Discover the step-by-step automation workflow and how it connects APIs seamlessly.
   
   Keywords:  
   n8n, Telegram bot, weather updates, OpenWeatherMap API, automation workflow, Telegram automation, no-code API integration, chatbot automation, weather bot, Telegram weather bot
   
   Third-Party APIs Used:
   
   - Telegram Bot API  
   - OpenWeatherMap API  
   
   Article:
   
   Automating Real-Time Weather Updates on Telegram with n8n
   
   As modern workflows increasingly depend on timely information and direct communication, integrating public APIs into messaging platforms has become a smart way to deliver value where people are most active. One such powerful use case is the delivery of real-time weather data directly into Telegram chats using n8n—a powerful no-code/low-code workflow automation tool.
   
   In this article, we’ll walk through a simple but effective n8n workflow that leverages Telegram and OpenWeatherMap APIs to provide users with up-to-date weather information at their request.
   
   What is n8n?
   
   n8n (pronounced "n-eight-n") is an open-source workflow automation tool that allows users to connect various apps and services via APIs. Much like Zapier or Integromat, but with greater flexibility and self-hosting capabilities, n8n is ideal for developers and tech-savvy automation enthusiasts.
   
   Overview of the Telegram Weather Workflow
   
   This n8n workflow listens for messages on a Telegram bot and automatically responds with current weather conditions for Berlin, Germany. It’s composed of three main nodes:
   
   1. Telegram Trigger  
   2. OpenWeatherMap API Node  
   3. Telegram Response Node  
   
   Let’s break down what each component does.
   
   1. Telegram Trigger Node
   
   The workflow starts with the Telegram Trigger node. This listens for incoming “message” updates sent to a particular Telegram bot (configured through the Telegram Bot API). When a user sends any message, this node activates the workflow.
   
   It captures details such as:
   - Chat ID of the sender
   - Message text
   - Metadata used for the response
   
   Even though the current build doesn’t inspect the message content (e.g., parsing a city name), it does show the fundamental automation pattern that can be expanded later.
   
   2. OpenWeatherMap Node
   
   Once a message is received, the workflow proceeds to the OpenWeatherMap node. This node is configured to retrieve weather data using the OpenWeatherMap API.
   
   Key configuration details:
   - City: Berlin, Germany ("berlin,de")
   - API Key: Integrated via the user's n8n credential store
   
   This API call retrieves real-time weather data, including:
   - General weather condition (e.g., "clear sky", "light rain")
   - Current temperature (in Celsius)
   - Feels-like temperature, which factors in humidity and wind chill
   
   3. Telegram Response Node
   
   After gathering weather data, the Telegram node is triggered to send a formatted message back to the user. It uses expression placeholders to inject dynamic values extracted from the API response into a friendly message.
   
   Sample message format:
   Right now, we have light rain. The temperature is 15°C but it really feels like 13°C 🙂
   
   The "chatId" parameter is dynamically set to respond directly to the user who initiated the message. This makes it a responsive and personalized bot interaction.
   
   Benefits of This Workflow
   
   - Real-Time Information: Delivers the latest weather data immediately upon user interaction.
   - Easy Customization: You can quickly change the city or extend the bot to accept city names from the user's message.
   - Scalable: This pattern can be repeated for different use cases—news, reminders, alerts, and more.
   - No-Code Solution: No programming necessary; built entirely with drag-and-drop nodes and simple expressions.
   
   How to Expand This Workflow
   
   For users looking to take this a step further, consider implementing the following enhancements:
   - Parse the message text to allow users to input different cities.
   - Add conditional logic to handle incorrect or missing input.
   - Introduce caching to avoid repetitive API calls when multiple users ask for the same data.
   - Schedule periodic broadcasts of weather updates at specific times using the Cron node in n8n.
   
   Security and Best Practices
   
   When dealing with APIs and user messages, always:
   - Keep your API keys safe using n8n’s credential management feature.
   - Validate and sanitize user input if you allow dynamic messaging.
   - Respect rate limits imposed by third-party APIs like OpenWeatherMap.
   
   Conclusion
   
   This Telegram Weather Workflow beautifully demonstrates the power and simplicity of n8n’s integration capabilities. By connecting Telegram and OpenWeatherMap, users can build a helpful chatbot that delivers immediate value without writing a single line of code.
   
   With n8n, building smart, real-time automation has never been more accessible. Whether you’re a hobbyist, developer, or consultant, incorporating weather updates into a Telegram bot can be a great way to learn and leverage the growing world of no-code tools.
   
   Ready to give it a try? Deploy this workflow in your local n8n environment or hosted instance, and start building your own weather assistant today.
   
   —  
   Written by your AI Workflow Assistant

5. Set credentials for each API node (keys, OAuth) in Credentials.
6. Run a test via Execute Workflow. Inspect Run Data, then adjust parameters.
7. Enable the workflow to run on schedule, webhook, or triggers as configured.

Tips: keep secrets in credentials, add retries and timeouts on HTTP nodes, implement error notifications, and paginate large API fetches.

Validation: use IF/Code nodes to sanitize inputs and guard against empty payloads.

Why Automate This with AI Agents

AI‑assisted automations offload repetitive, error‑prone tasks to a predictable workflow. Instead of manual copy‑paste and ad‑hoc scripts, your team gets a governed pipeline with versioned state, auditability, and observable runs.

n8n’s node graph makes data flow transparent while AI‑powered enrichment (classification, extraction, summarization) boosts throughput and consistency. Teams reclaim time, reduce operational costs, and standardize best practices without sacrificing flexibility.

Compared to one‑off integrations, an AI agent is easier to extend: swap APIs, add filters, or bolt on notifications without rewriting everything. You get reliability, control, and a faster path from idea to production.

Best Practices

• Credentials: restrict scopes and rotate tokens regularly.
• Resilience: configure retries, timeouts, and backoff for API nodes.
• Data Quality: validate inputs; normalize fields early to reduce downstream branching.
• Performance: batch records and paginate for large datasets.
• Observability: add failure alerts (Email/Slack) and persistent logs for auditing.
• Security: avoid sensitive data in logs; use environment variables and n8n credentials.

FAQs

Can I swap integrations later? Yes. Replace or add nodes and re‑map fields without rebuilding the whole flow.

How do I monitor failures? Use Execution logs and add notifications on the Error Trigger path.

Does it scale? Use queues, batching, and sub‑workflows to split responsibilities and control load.

Is my data safe? Keep secrets in Credentials, restrict token scopes, and review access logs.