This workflow follows the Gmail → Googlegemini recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"name": "AI Weather Report Automation",
"nodes": [
{
"parameters": {
"url": "https://wttr.in/Nawabshah?format=j1",
"options": {}
},
"id": "c7b74cd1-da38-4d17-ad41-5d0193b435a4",
"name": "weather fetch",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.4,
"position": [
32,
-16
]
},
{
"parameters": {
"modelId": {
"__rl": true,
"value": "models/gemini-3.1-flash-lite",
"mode": "list",
"cachedResultName": "models/gemini-3.1-flash-lite"
},
"messages": {
"values": [
{
"content": "={{ $json.data }}"
}
]
},
"builtInTools": {},
"options": {
"systemMessage": "=You are a data extraction and weather reporting assistant. I will give you a raw JSON response from a weather API. Your task: 1. Extract only the useful information 2. Ignore all unnecessary data 3. Create a short weather report Extract these fields: - City - Maximum temperature (maxtempC) - Minimum temperature (mintempC) - Chance of rain - Weather condition description Then create a friendly weather report. Rules: - Start with \"Good Morning \u2600\ufe0f\" - Keep it under 150 words - Simple and human-like tone - No JSON output, only final message Here is the data: {{ $json.data }}"
}
},
"id": "e54a552b-9c50-4ece-b51a-ca0c1b980d37",
"name": "Message a model",
"type": "@n8n/n8n-nodes-langchain.googleGemini",
"typeVersion": 1.2,
"position": [
336,
-144
],
"credentials": {
"googlePalmApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"sendTo": "YOUR_EMAIL@example.com",
"subject": "Today's weather report in Nawabshah",
"emailType": "text",
"message": "={{ $json.content.parts[0].text }}",
"options": {
"appendAttribution": false
}
},
"id": "fd63e2a6-1092-4ecb-a695-42b99de7d41f",
"name": "Send a message",
"type": "n8n-nodes-base.gmail",
"typeVersion": 2.2,
"position": [
768,
0
],
"credentials": {
"gmailOAuth2": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"rule": {
"interval": [
{
"triggerAtHour": 8
}
]
}
},
"type": "n8n-nodes-base.scheduleTrigger",
"typeVersion": 1.3,
"position": [
-320,
-160
],
"id": "92ae071b-fa9c-44c1-9152-c577d71ff82c",
"name": "Schedule Trigger"
}
],
"connections": {
"weather fetch": {
"main": [
[
{
"node": "Message a model",
"type": "main",
"index": 0
}
]
]
},
"Message a model": {
"main": [
[
{
"node": "Send a message",
"type": "main",
"index": 0
}
]
]
},
"Schedule Trigger": {
"main": [
[
{
"node": "weather fetch",
"type": "main",
"index": 0
}
]
]
}
},
"active": false,
"settings": {
"executionOrder": "v1",
"binaryMode": "separate",
"availableInMCP": false
},
"versionId": "ed3fe39f-924b-4578-95e8-4dc6895441fc",
"meta": {
"templateCredsSetupCompleted": false
},
"nodeGroups": [],
"id": "STvL7BbaKRRcASWZ",
"tags": []
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
gmailOAuth2googlePalmApi
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About this workflow
AI Weather Report Automation. Uses httpRequest, googleGemini, gmail. Scheduled trigger; 4 nodes.
Source: https://github.com/zakir-maswani/AI-Weather-Report-Automation/blob/main/AI_Weather_Report_Automation.json — original creator credit. Request a take-down →
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