Generate personalized weather reports with OpenWeatherMap, Python and GPT-4.1-mini

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Important notice

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

1. Workflow Overview

How it works User enters name of a city for which most current weather information will be gathered Custom Python code processes the weather data and generates a custom email about the weather AI a...

Best for

Personal Productivity automation workflows
Multimodal AI automation workflows
intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.httprequest, n8n-nodes-base.code, n8n-nodes-base.gmail, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatopenai, n8n-nodes-base.formtrigger, n8n-nodes-base.stickynote

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title: Generate personalized weather reports with OpenWeatherMap, Python and GPT-4.1-mini
Workflow name: Generate personalized weather reports with OpenWeatherMap, Python and GPT-4.1-mini

How it works

User enters name of a city for which most current weather information will be gathered
Custom Python code processes the weather data and generates a custom email about the weather
AI agent further customizes the email and add a related joke about the weather
Recipient gets the custom email for the city

Set up instructions

Enter city to get the weather data
Add OpenWeather API and replace <your_API_key> with your actual API key
Add your OpenAI API in OpenAI Chat Model Node
Add your Gmail credentials and specify a recipient for the custom email

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 - Fetch Weather Data

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

Block 2 - Process Weather Data

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

Block 3 - Generate Email Content

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

Block 4 - Send a message

Type / Role: n8n-nodes-base.gmail - gmail
Config choices: Version 2.1

Block 5 - AI Agent

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

Block 6 - OpenAI Chat Model

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

Block 7 - On form submission

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

Block 8 - Sticky Note

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

Block 9 - Sticky Note1

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

Block 10 - Sticky Note2

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

Block 11 - Sticky Note3

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

3. Summary Table

Workflow	Generate personalized weather reports with OpenWeatherMap, Python and GPT-4.1-mini
Complexity	intermediate
Nodes	11
Categories	Personal Productivity, Multimodal AI
Author	Moe Ahad
Published	25 Jul 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/6400/6400.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 Multimodal AI workflows

Frequently asked questions

What does Generate personalized weather reports with OpenWeatherMap, Python and GPT-4.1-mini 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, Multimodal AI use case.

Moe Ahad

3 workflows

Nodes

n8n-nodes-base.httprequest n8n-nodes-base.code n8n-nodes-base.gmail @n8n/n8n-nodes-langchain.agent @n8n/n8n-nodes-langchain.lmchatopenai n8n-nodes-base.formtrigger n8n-nodes-base.stickynote

Complexity

intermediate

Published 25 Jul 2025

Likes 0

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Install path: /data/workflows/6400/6400.json

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Generate personalized weather reports with OpenWeatherMap, Python and GPT-4.1-mini

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

How it works

Set up instructions

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Fetch Weather Data

Block 2 - Process Weather Data

Block 3 - Generate Email Content

Block 4 - Send a message

Block 5 - AI Agent

Block 6 - OpenAI Chat Model

Block 7 - On form submission

Block 8 - Sticky Note

Block 9 - Sticky Note1

Block 10 - Sticky Note2

Block 11 - Sticky Note3

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