This article provides a complete, practical walkthrough of the Openweathermap Webhook Automate 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:  
   Automating Real-Time Weather Updates with n8n and OpenWeatherMap
   
   Meta Description:  
   Learn how to create an automated workflow using n8n and OpenWeatherMap to fetch and process real-time weather data based on user input via webhook. Ideal for developers and automation enthusiasts.
   
   Keywords:  
   n8n workflow, OpenWeatherMap API, weather automation, real-time weather updates, webhook automation, weather data API, temperature and humidity automation, no-code weather solution
   
   Third-Party APIs Used:  
   - OpenWeatherMap API (https://openweathermap.org/api)
   
   Article:
   
   In an age where automation drives efficiency, retrieving real-time weather data on-demand can be a key feature in a wide range of applications — from logistics and travel apps to smart home systems and personal dashboards. This article explores how to set up a simple yet effective weather-fetching automation using the powerful open-source tool, n8n, coupled with the OpenWeatherMap API.
   
   Whether you're a developer, an automation hobbyist, or someone building a no-code project, this workflow demonstrates how easy it is to connect multiple nodes in n8n to deliver useful weather insights to any application.
   
   Overview of the Workflow
   
   This n8n workflow performs the following key tasks:
   
   1. Listens for a webhook request containing a city name.
   2. Queries the OpenWeatherMap API with the given city.
   3. Extracts and formats key weather data (temperature, humidity, wind speed, description, city, and country).
   4. Responds to the webhook request with formatted weather information.
   
   Let’s break it down node by node.
   
   Node 1: Webhook Trigger
   At the heart of this workflow is the Webhook node. It acts as the trigger that starts this automation. When a POST request is sent to a specific path (in this case, `39f1b81f-f538-4b94-8788-29180d5e4016`), n8n captures the payload, which must include a JSON object that contains the name of the city for which weather data is requested.
   
   Example Payload:
   ```json
   {
     "body": {
       "city": "Paris"
     }
   }
   ```
   
   The webhook node doesn’t process data on its own but passes it to the next node to continue the workflow.
   
   Node 2: OpenWeatherMap API
   The next step is the integration with the OpenWeatherMap API. This node takes the city name from the incoming request and sends it to OpenWeatherMap to retrieve the current weather conditions.
   
   Configuration:
   - City Name: Dynamically set using `{{$json["body"]["city"]}}`
   - Credentials: You must connect your OpenWeatherMap API key via the credentials panel in n8n.
   
   When the request succeeds, the node returns a JSON response containing detailed weather data including temperature, weather descriptions, wind speed, and much more. However, not all of this data is needed for the final output — that’s where the next node comes in.
   
   Node 3: Set Node
   The Set node is used to clean and structure the data. Here, the workflow extracts just the most relevant information:
   - Temperature in Celsius (`tempC`)
   - Humidity percentage (`humidity`)
   - Wind speed in m/s (`windspeed`)
   - Weather condition description (e.g., "clear sky", `description`)
   - City and country (combined into a single string, `city`)
   
   The parameters for extraction are configured using expressions such as:
   ```javascript
   ={{$json["main"]["temp"]}}
   ={{$json["main"]["humidity"]}}
   ={{$json["wind"]["speed"]}}
   ={{$json["weather"][0]["description"]}}
   ={{$json["name"]}}, {{$json["sys"]["country"]}}
   ```
   
   The “keepOnlySet” option is enabled, ensuring that only the specified key-value pairs are retained in the final output.
   
   Final Output
   The output at the end of the workflow looks something like this:
   ```json
   {
     "tempC": 18.3,
     "humidity": 72,
     "windspeed": 3.5,
     "description": "light rain",
     "city": "Paris, FR"
   }
   ```
   
   This is returned to the requester via the webhook node, completing the automated process.
   
   Use Cases and Applications
   
   This workflow serves as a base for countless applications:
   - Weather alert systems
   - Dynamic user interfaces in travel apps
   - Smart home interfaces triggering environmental changes based on weather
   - Chatbots or Slack bots responding with real-time weather data
   - Custom dashboards for logistics or healthcare applications
   
   Benefits of Using n8n for This Task:
   - No-code/low-code interface with drag-and-drop functionality
   - Reusability and expandability (e.g., add notifications, logging, alerts)
   - Easy integration with REST APIs via built-in nodes
   
   Final Thoughts
   
   Combining n8n with the OpenWeatherMap API provides a powerful yet user-friendly way to automate weather data retrieval. This simple workflow lays the foundation for much more complex automations — from integrating with Google Sheets to logging historical data on cloud storage platforms or even triggering push notifications or alerts.
   
   Whether you're building a weather chatbot, a smart home controller, or a custom weather station UI, this n8n workflow helps you gather meaningful data in real time — with minimal coding required.
   
   Get started today by creating your own weather automation!

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.