This article provides a complete, practical walkthrough of the Http Schedule Import 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:  
   Automate Daily Weather Tracking with n8n and Airtable: A No-Code Workflow
   
   Meta Description:  
   Learn how to set up a fully automated workflow using n8n to fetch daily weather data from OpenWeatherMap and store it in Airtable. Ideal for analysts, businesses, or weather hobbyists wanting a structured and up-to-date weather history.
   
   Keywords:  
   n8n weather workflow, Airtable automation, OpenWeatherMap API, weather data tracking, no-code automation, weather record database, automated weather logger, n8n Airtable integration, no-code OpenWeatherMap, daily weather fetcher
   
   Third-Party APIs/Apps Used:  
   - OpenWeatherMap API  
   - Airtable API  
   
   —
   
   Article:
   
   Automate Daily Weather Tracking with n8n and Airtable: A No-Code Workflow
   
   For analysts, researchers, and businesses keen on maintaining a daily weather log, manual data collection can be tedious and error-prone. Enter the world of no-code automation with n8n — a flexible workflow automation tool — which, when paired with APIs like OpenWeatherMap and Airtable, becomes a powerful instrument for real-time data logging.
   
   In this article, we’ll take a closer look at an n8n workflow titled "Automated Daily Weather Data Fetcher and Storage." This workflow fetches weather data for a specific location daily at 10 a.m. and stores it automatically in Airtable without any manual intervention.
   
   Let’s break down how it works and why it’s a valuable solution for automating weather tracking.
   
   🔁 Workflow Overview
   
   The workflow consists of three key nodes that interact to perform the automation:
   
   1. Schedule Trigger (Every Day at 10 a.m.)
   2. HTTP Request to OpenWeatherMap (Retrieve Weather Data)
   3. Airtable Module (Store Data)
   
   Each component plays a vital role in ensuring weather data is retrieved, parsed, and logged consistently every single day.
   
   🕰️ Schedule Trigger: A Morning Routine
   
   The workflow begins with the Schedule Trigger node set to activate at 10 a.m. daily. This trigger acts like a morning alarm for your automation, initiating the sequence of events that follows. With minimal configuration, this cron-like node ensures that data fetch starts punctually, keeping your database up to date.
   
   ☁️ HTTP Request: Access to OpenWeatherMap API
   
   Once the workflow is triggered, the next step involves connecting with the OpenWeatherMap API — one of the most widely used public weather services. The workflow sends an HTTP GET request to retrieve the current weather details of a specified location:  
   Latitude: 23.0059  
   Longitude: 72.5547  
   (Unit set to metric for Celsius)
   
   The OpenWeatherMap API responds with a detailed JSON payload containing parameters such as temperature, humidity, wind speed, timezone, and city name. These attributes are crucial for real-time and historical weather data analysis.
   
   🔐 API Authentication
   
   To securely access the OpenWeatherMap API, the n8n workflow uses secure credentials with “httpQueryAuth” (and fallbacks for other authentication methods like basic or header auth), ensuring API calls are safely authenticated.
   
   📥 Airtable Integration: Create Historical Data Logs
   
   After receiving weather data from the API, n8n moves to the final step — storing this data in Airtable. This is done using the Airtable node configured with a base and table predefined for weather data storage.
   
   The Airtable table includes the following fields:
   
   - Location
   - Timezone
   - Temp (Temperature)
   - Humidity
   - Wind Speed
   
   Each day, a new row is added to the table with fresh data, resulting in a growing log of weather metrics. This is particularly valuable for analytics, climate tracking, or even business intelligence systems relying on weather-dependent operations (e.g., agriculture, logistics, travel, and outdoor events).
   
   📁 Why Airtable?
   
   Airtable is an ideal companion for this kind of automation. It combines the flexibility of a spreadsheet with the power of a database. With rich field types and easy integrations, it becomes an accessible repository for structured weather data.
   
   🌍 Use Cases for the Workflow
   
   - Climate researchers collecting city-specific temperature trends
   - Agricultural planners monitoring daily weather for crop management
   - Smart home systems adapting operations based on historical weather data
   - Local news applications building visual dashboards with daily conditions
   - Weather hobbyists logging patterns for personal interest
   
   💡 Customizations You Can Add
   
   The workflow is highly flexible and can be extended or customized further. Here are a few ideas:
   
   - Add a filter to store only when specific temperature thresholds are met
   - Send a daily SMS or Slack message with the day's weather summary
   - Store multiple cities' weather data for comparison
   - Visualize data in a dashboard using Airtable’s interface or integration with tools like Power BI or Google Data Studio
   
   🔄 Summary
   
   This n8n workflow showcases the powerful fusion of automation and data storage using a visual programming approach. With free APIs and no-code tools, even non-developers can automate complex tasks and let technology handle the grunt work.
   
   Whether you're documenting weather stats for data science, monitoring environmental changes, or just satisfy weather curiosity, this automation blueprint saves time and ensures consistency.
   
   So set it up once, and enjoy daily, hands-free weather tracking — powered by n8n, OpenWeatherMap, and Airtable.
   
   —
   
   By leveraging no-code platforms like n8n, anyone from hobbyists to enterprises can unlock smart solutions to everyday challenges. This weather automation is just one small example of the possibilities. Happy automating!

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.