(4/5)

Automated Daily Weather Data Fetcher and Storage

Automated workflow: Automated Daily Weather Data Fetcher and Storage. This workflow integrates 5 different services: stickyNote, httpRequest, airtable, scheduleTrigger, stopAndError. It contains 7 nodes and follows best practices for error handling and security.

Integrations Used (3)

Schedule

Airtable

HTTP Request

Workflow Structure (3 nodes)

100%

Schedule Trigger

Http Request

Get Weather Data

Airtable

Store Weather Data

Node Types:

trigger

action

http

Requires credentials

Prerequisites

Required Credentials (4)

Airtable Token

Used by: Store Weather Data

Docs

HTTP Basic Auth

Used by: Get Weather Data

Docs

HTTP Header Auth

Used by: Get Weather Data

Docs

Http Query Auth

Used by: Get Weather Data

Docs

Multiple services required

This workflow needs 4 different credentials. Make sure you have accounts for all services before importing.

Complexity

Moderate

Some experience helpful. Multiple integrations or logic.

Setup time: ~35 min

Score: 31/100

When to Use This Workflow

Automated Reporting

Automatically collect and organize data into spreadsheets for analysis.

Spend less time on data entry and more time on insights.

Scheduled Operations

Run automated tasks at specific times - daily reports, weekly cleanups, monthly backups.

Set it and forget it - reliable automation that runs on your schedule.

Real-time Response

React instantly when events happen - new orders, form submissions, or API calls.

Zero delay between trigger and action for time-sensitive workflows.

workflow.json

{
  "id": "PHp3gKoyYfSztbTB",
  "meta": {
    "instanceId": "workflow-9bc356da",
    "versionId": "1.0.0",
    "createdAt": "2025-09-29T07:07:46.430202",
    "updatedAt": "2025-09-29T07:07:46.430209",
    "owner": "n8n-user",
    "license": "MIT",
    "category": "automation",
    "status": "active",
    "priority": "high",
    "environment": "production"
  },
  "name": "Automated Daily Weather Data Fetcher and Storage",
  "tags": [
    "automation",
    "n8n",
    "production-ready",
    "excellent",
...