AI-generated weather analysis with NWS alerts, radar imagery, and Home Assistant

Open on n8n.io

$20/month : Unlimited workflows

2500 executions/month

Try free

THE #1 IN WEB SCRAPING

Scrape any website without limits

Try free

HOSTINGER

Early Deal
DISCOUNT 20%

Self-hosted n8n

Unlimited workflows - from $4.99/mo

Try free

#1 hub for scraping, AI & automation

6000+ actors - $5 credits/mo

Try free

Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

This n8n template demonstrates how you can generate an AI produced weather analysis of your local radar loop and home assistant precipitation sensor(s) to keep your family informed of National Weat...

Best for

Personal Productivity automation workflows
AI Summarization automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.webhook, n8n-nodes-base.httprequest, n8n-nodes-base.splitout, n8n-nodes-base.set, n8n-nodes-base.filter, @n8n/n8n-nodes-langchain.openai, n8n-nodes-base.homeassistant, n8n-nodes-base.merge

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Carl Danley.

Original n8n.io source

1.1 Workflow description

Title: AI-generated weather analysis with NWS alerts, radar imagery, and Home Assistant
Workflow name: AI-generated weather analysis with NWS alerts, radar imagery, and Home Assistant

Overview

This n8n template demonstrates how you can generate an AI-produced weather analysis of your local radar loop and home assistant precipitation sensor(s) to keep your family informed of National Weather Service Alerts.

With as crazy as things have been lately in the open world, how will you and your family know when a severe or extreme alert impacts your area?

How it Works

This workflow is triggered by a webhook which takes a latitude and longitude json payload to identify the area for monitoring.
Then, it fetches the National Weather Service Alerts and filters them down to alerts which are currently active and their severity.
Next, it fetches the local precipitation value from your Home Assistant instance (a value like "Light Rain" or "No Rain", etc) coupled with your respective weather.gov radar loop image.
It then submits this data to OpenAI and produces an output regarding the image analysis.
Finally, it takes this analysis and uses OpenAI to again generate a short summary.

How to Use

Import the workflow into your n8n instance
Update the credentials in the problematic nodes
Make sure you adjust the radar loop image that is being used

Requirements

A Home Assistant Instance (you could remove this data if you wanted)
An OpenAI account for LLM and image analysis

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Webhook

Type / Role: n8n-nodes-base.webhook - webhook
Config choices: Version 2

Block 2 - Get NWS Alerts

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 3 - Split Out

Type / Role: n8n-nodes-base.splitOut - splitOut
Config choices: Version 1

Block 4 - Remove Irrelevant Fields

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 5 - Filter by Severity

Type / Role: n8n-nodes-base.filter - filter
Config choices: Version 2.2

Block 6 - Filter by Effective

Type / Role: n8n-nodes-base.filter - filter
Config choices: Version 2.2

Block 7 - Filter by Status

Type / Role: n8n-nodes-base.filter - filter
Config choices: Version 2.2

Block 8 - Fetch Weather.gov Radar Loop

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 9 - Filter by Expired

Type / Role: n8n-nodes-base.filter - filter
Config choices: Version 2.2

Block 10 - Analyze Radar Image

Type / Role: @n8n/n8n-nodes-langchain.openAi - openAi
Config choices: Version 1.8

Block 11 - Map JSON Response

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 12 - Get Local Weather Precipication

Type / Role: n8n-nodes-base.homeAssistant - homeAssistant
Config choices: Version 1

Block 13 - Merge JSON with Image

Type / Role: n8n-nodes-base.merge - merge
Config choices: Version 3.2

Block 14 - Merge Radar Analysis with NWS Data

Type / Role: n8n-nodes-base.merge - merge
Config choices: Version 3.2

Block 15 - OpenAI Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.2

Block 16 - Code

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 17 - Aggregate

Type / Role: n8n-nodes-base.aggregate - aggregate
Config choices: Version 1

Block 18 - Generate a Summary

Type / Role: @n8n/n8n-nodes-langchain.chainSummarization - chainSummarization
Config choices: Version 2.1

Block 19 - Map JSON to Response

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 20 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

3. Summary Table

Workflow	AI-generated weather analysis with NWS alerts, radar imagery, and Home Assistant
Complexity	advanced
Nodes	20
Categories	Personal Productivity, AI Summarization
Author	Carl Danley
Published	19 Jul 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/6188/6188.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Personal Productivity workflows AI Summarization workflows

Frequently asked questions

What does AI-generated weather analysis with NWS alerts, radar imagery, and Home Assistant do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Personal Productivity, AI Summarization use case.

Carl Danley

1 workflow

Nodes

n8n-nodes-base.webhook n8n-nodes-base.httprequest n8n-nodes-base.splitout n8n-nodes-base.set n8n-nodes-base.filter @n8n/n8n-nodes-langchain.openai n8n-nodes-base.homeassistant n8n-nodes-base.merge

Complexity

advanced

Published 19 Jul 2025

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/6188/6188.json

Share Your Workflow

Have a useful automation to share? Publish it and help the community.

Submit Your Template How to Submit

Related Workflows

Manage Google Calendar events with Zalo Bot, OpenAI and Gemini

## Quick Overview This workflow lets users manage Google Calendar by sending text or voice messages to a Zalo Official Account bot, transcribing voice notes with Google Gemini and using an OpenAI-powered agent to create, update, list, or delete events, then replying in Zalo with the result. ## How it works 1. Receives an incoming text or voice message through a Zalo Bot trigger. 2. Sends a typing indicator back to the Zalo chat and normalizes key message fields (chat ID, type, text, and voice URL). 3. If the message is a voice note, sends the audio URL to Google Gemini to transcribe it into text. 4. Sends the combined text/transcription to an OpenAI chat model agent that interprets the request in Vietnamese and decides whether to list, create, update, or delete a Google Calendar event. 5. Uses Google Calendar tools to get events and then create, update, or delete the targeted event based on the agent’s extracted parameters. 6. Sends the agent’s Markdown-formatted response back to the user in Zalo, and posts an error message to Zalo if the agent run fails. ## Setup 1. Install the community node package `n8n-nodes-zalo-bot-official` and restart n8n if required. 2. Connect your Zalo Bot API credentials and configure the Zalo webhook URL in your Zalo Official Account so incoming messages reach this workflow. 3. Add a Google Calendar OAuth2 credential and set the target calendar account (currently configured as `[email protected]`) for all calendar operations. 4. Add a Google Gemini (PaLM) API credential for audio transcription and ensure voice messages include a reachable `voice_url`. 5. Add an OpenAI API credential, select the chat model you want to use (currently `gpt-5-mini`), and adjust the system prompt/tone if needed.

View

Screen LinkedIn jobs and generate tailored resume and cover PDFs with Anthropic and DocRaptor

## Quick Overview This workflow collects your job preferences and resume via an n8n form, scrapes fresh LinkedIn job listings with Apify, screens and ranks matches using Anthropic Claude, generates tailored resume and cover letter PDFs via DocRaptor, then emails them to you and logs each match in Google Sheets. ## How it works 1. Receives a form submission with your email, target role, seniority, locations, skills, deal-breakers, and resume text. 2. Calls the Apify LinkedIn Job Scraper API to fetch up to 150 jobs posted in the last 7 days for the provided keywords and location. 3. Removes duplicates and filters out obvious mismatches based on seniority, required years of experience patterns, and location rules. 4. Uses Anthropic Claude (Haiku) to score each remaining job for relevance and eligibility and returns a JSON verdict and fit score. 5. Ranks the results, drops rejected roles, and keeps the top five best-scoring matches. 6. Uses Anthropic Claude (Sonnet) to generate a structured resume JSON and cover letter JSON tailored to each shortlisted job using only facts from your provided profile. 7. Renders the resume and cover letter to HTML, converts them to PDF files with DocRaptor, emails the PDFs to you via Gmail, and appends a tracker row to Google Sheets. ## Setup 1. Add credentials for Anthropic (Claude), Gmail, Google Sheets, and DocRaptor (HTTP Basic Auth with your API key as the username and a blank password). 2. Replace YOUR_APIFY_TOKEN in the Apify HTTP request URL and ensure you have access to the Apify LinkedIn Jobs Scraper actor endpoint used in the workflow. 3. Create a Google Sheet with a “Tracker” tab and set the document ID (YOUR_TRACKER_SHEET_ID) to match your sheet. 4. If you want non-watermarked PDFs, set DocRaptor "test" to false in both PDF generation requests.

View

Triage and route tasks with Google Sheets, GPT-4o-mini, Gmail, Slack, and Google Tasks

## Quick Overview This workflow collects tasks via a webhook, stores validated tasks in Google Sheets, and runs a daily prioritization routine that creates urgent items in Google Tasks with Slack alerts while summarizing medium/low tasks with OpenAI and emailing the digest via Gmail. ## How it works 1. Receives a POST webhook request containing task details and normalizes fields like priority and due date. 2. Validates required fields (including allowed priority values) and rejects invalid submissions with an error. 3. Appends valid tasks to Google Sheets with a pending status and returns a success response to the webhook caller. 4. Runs daily on a schedule, reads tasks from Google Sheets, keeps only pending items, removes duplicates, and sorts them by priority. 5. For high-priority tasks, creates a Google Tasks item and sends a Slack alert. 6. For medium and low-priority tasks, compiles a digest, generates an email-ready summary with OpenAI, and sends it via Gmail. 7. Updates each handled task in Google Sheets with a Processed status and a processed timestamp. ## Setup 1. Create a Google Sheet with columns for taskName, priority, category, dueDate, status, createdAt, and processedAt, and update the spreadsheet and sheet IDs in the Google Sheets steps. 2. Add Google Sheets OAuth2 credentials for both reading and updating/appending rows. 3. Add credentials for Google Tasks, Slack (OAuth2), Gmail, and OpenAI, and set the target Google Task list, Slack destination, and email recipients/subject as needed. 4. Copy the webhook URL from the webhook trigger and configure your task intake source to send POST requests with fields like "Task Name", "Priority", "Category", and "Due Date". 5. Adjust the schedule time and any validation rules (required fields and accepted priority values) to match your process.

View

Need Custom Automation?

Get help designing a custom n8n workflow that connects your stack and fits your process.

AI-generated weather analysis with NWS alerts, radar imagery, and Home Assistant

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Overview

How it Works

How to Use

Requirements

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Webhook

Block 2 - Get NWS Alerts

Block 3 - Split Out

Block 4 - Remove Irrelevant Fields

Block 5 - Filter by Severity

Block 6 - Filter by Effective

Block 7 - Filter by Status

Block 8 - Fetch Weather.gov Radar Loop

Block 9 - Filter by Expired

Block 10 - Analyze Radar Image

Block 11 - Map JSON Response

Block 12 - Get Local Weather Precipication

Block 13 - Merge JSON with Image

Block 14 - Merge Radar Analysis with NWS Data

Block 15 - OpenAI Chat Model

Block 16 - Code

Block 17 - Aggregate

Block 18 - Generate a Summary

Block 19 - Map JSON to Response

Block 20 - Sticky Note

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions