This article provides a complete, practical walkthrough of the Openweathermap Webhook Automation Webhook 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:  
   Creating a Simple Weather Information API Using n8n and OpenWeatherMap
   
   Meta Description:  
   Learn how to build a no-code weather information service using n8n. This tutorial shows how to integrate a webhook and the OpenWeatherMap API to fetch live weather data for any city.
   
   Keywords:  
   n8n workflow, openweathermap API, weather API, no-code automation, get weather by city, create weather service, webhooks, automation with n8n, n8n tutorial
   
   Third-party APIs Used:  
   - OpenWeatherMap API
   
   —
   
   Article:
   
   Creating a Simple Weather Information API Using n8n and OpenWeatherMap
   
   If you're looking for a quick, low-code way to retrieve real-time weather information for any city in the world, n8n has you covered. Powered by its visual workflow editor and built-in nodes, n8n makes it easy to integrate third-party APIs like OpenWeatherMap into your own services, bots, or internal tools.
   
   In this article, we’ll walk through how to create a simple n8n workflow that listens for incoming HTTP requests and responds with the current weather details (temperature and description) for any specified city. No extensive coding experience required!
   
   What You’ll Build  
   You’ll create an n8n workflow that does the following:
   
   - Listens for web requests using a Webhook node
   - Extracts the city name from the request
   - Contacts the OpenWeatherMap API with the city name
   - Returns the current temperature and weather description
   
   Whether you're building a chatbot, dashboard, or just want a fun automation project, this workflow will enable you to easily query weather information on demand.
   
   Workflow Overview  
   Here’s a breakdown of the nodes used in the workflow and how they interact:
   
   1. Webhook Node  
   This node acts as the entry point for the workflow. When an HTTP request is made to the unique Webhook URL, the workflow is triggered. The city name is expected to be passed as a query parameter—for example:
   
   GET https://your-n8n-instance.com/webhook/45690b6a-2b01-472d-8839-5e83a74858e5?city=London
   
   The Webhook node captures the value of city from the query and sends it to the next node.
   
   2. OpenWeatherMap Node  
   This built-in n8n node connects directly to the OpenWeatherMap API, a popular service for accessing current meteorological data. The city value extracted by the Webhook node is dynamically passed into the OpenWeatherMap node’s “City Name” parameter.
   
   Behind the scenes, this node makes an API request to OpenWeatherMap’s /weather endpoint, returning data such as:
   
   - Temperature
   - Weather conditions
   - Wind speed
   - Humidity
   
   In this workflow, only the temperature (in Kelvin) and a brief weather description (e.g., "clear sky", "light rain") are used in the response.
   
   3. Set Node  
   The Set node is used to cleanly format and extract only the necessary data to send back to the requester. It creates two fields:
   
   - temp: {{ $node["OpenWeatherMap"].json["main"]["temp"] }}
   - description: {{ $node["OpenWeatherMap"].json["weather"][0]["description"] }}
   
   It ensures that only the parsed weather data is returned, eliminating any excess or sensitive information.
   
   How It All Connects  
   The nodes are chained in a simple linear flow:
   
   - Webhook → OpenWeatherMap → Set
   
   When a user sends an HTTP GET request to the webhook URL with a city as a query param, the workflow fetches the latest weather data for that city and responds with a JSON like this:
   
   {
     "temp": 295.13,
     "description": "broken clouds"
   }
   
   Note: The temperature value is returned in Kelvin by default unless you modify the OpenWeatherMap node’s configuration to return it in Celsius or Fahrenheit.
   
   What You Need to Deploy This
   
   - An n8n instance (hosted or self-hosted)
   - A valid OpenWeatherMap API key (free tier available at https://openweathermap.org/)
   - Internet access and permissions to access public APIs
   
   How to Customize and Extend
   
   Once you’re comfortable with this basic version, here are a few ideas to make your weather service even more feature-rich:
   
   - Add a unit toggle for temperature (Celsius or Fahrenheit)
   - Include additional weather stats, such as humidity or wind speed
   - Build a Telegram or Slack bot that uses this workflow
   - Schedule periodic weather checks and log data to a Google Sheet
   
   Conclusion
   
   With just three simple nodes, you’ve built a functional weather API using n8n and OpenWeatherMap. This no-code approach demonstrates the power and flexibility of automation platforms like n8n, allowing you to integrate APIs and build useful tools quickly and with minimal setup.
   
   Whether you're just starting your automation journey or looking to streamline internal tools, experiments like this are a great way to learn how powerful n8n can be for orchestrating workflows with external services.

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.