Paul Karrmann This workflow corresponds to n8n.io template #13121 — we link there as the canonical source.
This workflow follows the Agent → Gmail 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 →
{
"id": "HRyFjV8E0q8972jxLIpIE",
"meta": {
"templateCredsSetupCompleted": true
},
"name": "LinkedIn Triage with Labels",
"tags": [],
"nodes": [
{
"id": "19cf7de1-76aa-4360-88c2-3d69f349c823",
"name": "Structured Output Parser",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"onError": "continueRegularOutput",
"position": [
752,
384
],
"parameters": {
"autoFix": true,
"schemaType": "manual",
"inputSchema": "{\n \"$schema\": \"https://json-schema.org/draft/2020-12/schema\",\n \"type\": \"object\",\n \"additionalProperties\": false,\n \"required\": [\n \"message_id\",\n \"subject\",\n \"action\",\n \"relevancy_score\",\n \"sales_likelihood\",\n \"summary\"\n ],\n \"properties\": {\n \"message_id\": { \"type\": \"string\", \"minLength\": 1, \"maxLength\": 200 },\n \"date_iso\": { \"type\": \"string\", \"minLength\": 0, \"maxLength\": 40 },\n \"from_name\": { \"type\": \"string\", \"maxLength\": 120 },\n \"subject\": { \"type\": \"string\", \"maxLength\": 200 },\n\n \"action\": { \"type\": \"string\", \"enum\": [\"reply_quick\", \"review\", \"ignore\", \"block\"] },\n \"relevancy_score\": { \"type\": \"integer\", \"minimum\": 0, \"maximum\": 100 },\n \"sales_likelihood\": { \"type\": \"number\", \"minimum\": 0, \"maximum\": 1 },\n\n \"summary\": { \"type\": \"string\", \"maxLength\": 220 },\n \"reply_draft\": { \"type\": \"string\", \"maxLength\": 700 },\n \"tags\": {\n \"type\": \"array\",\n \"maxItems\": 6,\n \"items\": { \"type\": \"string\", \"maxLength\": 24 }\n }\n }\n}\n"
},
"executeOnce": false,
"retryOnFail": true,
"typeVersion": 1.3,
"alwaysOutputData": false
},
{
"id": "bd362e1e-6945-43b1-9a9c-173a428c7518",
"name": "OpenAI Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
752,
592
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-5.2",
"cachedResultName": "gpt-5.2"
},
"options": {},
"builtInTools": {}
},
"typeVersion": 1.3
},
{
"id": "2d0ec52f-4b29-443d-908e-33f37d061143",
"name": "Daily Trigger",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
-496,
160
],
"parameters": {
"rule": {
"interval": [
{}
]
}
},
"typeVersion": 1.3
},
{
"id": "9e8cdc78-af9d-416c-b967-4a94c4d8e403",
"name": "Pull Messages From with LinkedIn tags",
"type": "n8n-nodes-base.gmail",
"position": [
-272,
160
],
"parameters": {
"limit": 500,
"filters": {
"labelIds": [
"REPLACE_WITH_YOUR_GMAIL_LABEL_ID"
],
"receivedAfter": "={{ $now.minus({ days: 1 }).startOf('day').toISO() }}\n"
},
"operation": "getAll"
},
"typeVersion": 2.2
},
{
"id": "0b144918-ad7e-40c2-9ecf-3bb29ff63754",
"name": "First Filter for non direct messages or invites",
"type": "n8n-nodes-base.filter",
"position": [
-48,
160
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 3,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "or",
"conditions": [
{
"id": "REDACTED_CONDITION_ID",
"operator": {
"type": "string",
"operation": "contains"
},
"leftValue": "={{ $json.From }}",
"rightValue": "invitations"
},
{
"id": "REDACTED_CONDITION_ID",
"operator": {
"type": "string",
"operation": "contains"
},
"leftValue": "={{ $json.From }}",
"rightValue": "messages"
}
]
}
},
"typeVersion": 2.3
},
{
"id": "3193be9d-48df-4297-b6dc-0cc517aea00b",
"name": "Second Filter for non direct messages or invites",
"type": "n8n-nodes-base.filter",
"position": [
176,
160
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 3,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "REDACTED_CONDITION_ID",
"operator": {
"type": "string",
"operation": "notContains"
},
"leftValue": "={{ $json.snippet }}",
"rightValue": "You're getting noticed"
},
{
"id": "REDACTED_CONDITION_ID",
"operator": {
"type": "string",
"operation": "notContains"
},
"leftValue": "={{ $json.Subject }}",
"rightValue": "Welcome to"
},
{
"id": "REDACTED_CONDITION_ID",
"operator": {
"type": "string",
"operation": "notContains"
},
"leftValue": "={{ $json.snippet }}",
"rightValue": "LinkedIn Page admin"
},
{
"id": "REDACTED_CONDITION_ID",
"operator": {
"type": "string",
"operation": "notContains"
},
"leftValue": "={{ $json.snippet }}",
"rightValue": "company verification"
}
]
}
},
"typeVersion": 2.3
},
{
"id": "d9be4829-a33a-4ee4-b663-ff6e63dee4c6",
"name": "Pull body of messages",
"type": "n8n-nodes-base.gmail",
"position": [
400,
160
],
"parameters": {
"simple": false,
"options": {},
"messageId": "={{ $json.id }}",
"operation": "get"
},
"typeVersion": 2.2
},
{
"id": "8c44d562-1c1f-4287-89fb-643edb8e20f3",
"name": "Open AI Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
624,
384
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-5.2",
"cachedResultName": "gpt-5.2"
},
"options": {
"maxTokens": 6000
},
"builtInTools": {}
},
"typeVersion": 1.3
},
{
"id": "8083ae5c-9dce-4309-a2e4-2e7aa48d7b52",
"name": "LinkedIn Triage Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"onError": "continueRegularOutput",
"position": [
656,
160
],
"parameters": {
"text": "=MessageID(DO NOT CHANGE):{{ $json.id }}\nSubject: {{ $json.subject }}\nDate: {{ $json.date }}\nSender: {{ $json.from.value[0].name }}\nBody: {{ ($json.text || '').slice(0, 4000) }}\n",
"options": {
"systemMessage": "You are triaging my LinkedIn related emails from the last 24 hours.\n\nGoal:\n- Surface messages worth my time\n- Filter out sales and spam aggressively\n- Suggest short replies when it looks like an actual person message or InMail content\n\nRules:\n- If it smells like outbound sales, set sales_likelihood high and action to ignore or block.\n- If it could be real business, action is reply_quick and include 1 to 3 suggested replies.\n- If it is interesting but not urgent, action is review.\n- If it is annoying, repetitive, irrelevant, or clearly automated, ignore.\n- Block only if it is clearly spammy, pushy sales, or deceptive.\n\nReturn ONLY valid JSON matching the schema.\n\nIf unsure, choose action ignore, sales_likelihood 0.5, relevancy_score 20, summary minimal"
},
"promptType": "define",
"hasOutputParser": true
},
"executeOnce": false,
"retryOnFail": true,
"typeVersion": 3.1
},
{
"id": "54068f8e-6b42-48a9-a99e-76872ddd4c35",
"name": "Filter out Irrelevant and Sales heavy requests",
"type": "n8n-nodes-base.filter",
"position": [
1120,
160
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 3,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "REDACTED_CONDITION_ID",
"operator": {
"type": "number",
"operation": "lt"
},
"leftValue": "={{ $json.output.sales_likelihood }}",
"rightValue": 0.8
},
{
"id": "REDACTED_CONDITION_ID",
"operator": {
"type": "number",
"operation": "gt"
},
"leftValue": "={{ $json.output.relevancy_score }}",
"rightValue": 40
}
]
}
},
"typeVersion": 2.3
},
{
"id": "e75bc8d3-1c56-4564-8e5b-181848b252c9",
"name": "Put into Ticketing System",
"type": "n8n-nodes-base.notion",
"position": [
1344,
160
],
"parameters": {
"simple": false,
"options": {},
"resource": "databasePage",
"databaseId": {
"__rl": true,
"mode": "list",
"value": "REPLACE_WITH_YOUR_NOTION_DATABASE_ID"
},
"propertiesUi": {
"propertyValues": [
{
"key": "date_iso|rich_text",
"textContent": "={{ $json.output.date_iso }}"
},
{
"key": "from_name|rich_text",
"textContent": "={{ $json.output.from_name }}"
},
{
"key": "message_id|title",
"title": "={{ $json.output.message_id }}"
},
{
"key": "relevancy_score|number",
"numberValue": "={{ $json.output.relevancy_score }}"
},
{
"key": "reply_draft|rich_text",
"textContent": "={{ $json.output.reply_draft || \"\" }}"
},
{
"key": "sales_likelihood|number",
"numberValue": "={{ $json.output.sales_likelihood }}"
},
{
"key": "subject|rich_text",
"textContent": "={{ $json.output.subject }}"
},
{
"key": "summary|rich_text",
"textContent": "={{ $json.output.summary }}"
},
{
"key": "tags|multi_select",
"multiSelectValue": "={{ $json.output.action }}"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "ed407ae0-6888-4246-b5be-9da0c8a74524",
"name": "Filter out reply quick tickets",
"type": "n8n-nodes-base.filter",
"position": [
1568,
160
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 3,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "REDACTED_CONDITION_ID",
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.properties.tags.multi_select[0].name }}",
"rightValue": "reply_quick"
}
]
}
},
"typeVersion": 2.3
},
{
"id": "1c0c409b-508a-42a4-b9ce-8c15c2e9f6a2",
"name": "Send Message to myself",
"type": "n8n-nodes-base.slack",
"position": [
1792,
160
],
"parameters": {
"text": "=Daily LinkedIn: \nSubject: {{ $json.properties.from_name.rich_text[0].text.content }}\nSummary: {{ $json.properties.summary.rich_text[0].text.content }}\n\nPossible drafts: \n{{ $json.properties.reply_draft.rich_text[0].text.content }}",
"user": {
"__rl": true,
"mode": "list",
"value": "REPLACE_WITH_YOUR_SLACK_USER_ID",
"cachedResultName": "me"
},
"select": "user",
"otherOptions": {},
"authentication": "oAuth2"
},
"typeVersion": 2.4
},
{
"id": "cf99bf36-e47f-4c52-89fc-8e2818c7d93d",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1072,
-432
],
"parameters": {
"width": 464,
"height": 720,
"content": "## LinkedIn notifications and InMails triage\n\nThis workflow runs daily and turns LinkedIn email noise into a short list of messages worth your attention. It pulls emails from Gmail using a label, filters out common automated notifications, fetches the full email body, and uses an AI agent to classify each message. The result is stored in Notion so you have a searchable inbox, and the most relevant items can trigger a Slack DM so you can reply quickly.\n\n## How it works\n* Trigger daily\n* Read Gmail messages from a LinkedIn label (last 24h)\n* Filter out invitations and automated notifications\n* Fetch full email body (not just the snippet)\n* AI triage returns structured fields like action, relevancy, and a reply draft\n* Save the result to Notion\n* Optionally notify you in Slack for items marked reply_quick\n\n## Setup steps\n* Create a Gmail label for LinkedIn emails and add the label id in the Gmail node\n* Connect Gmail, OpenAI, Notion, and Slack credentials\n* Replace the Notion database id and ensure properties match the mapped fields\n* Replace the Slack user id (or change to a channel)\n* Run once, check a few results, then activate the workflow\n"
},
"typeVersion": 1
},
{
"id": "6bdecd8d-871a-452d-a89f-de68d3a7034f",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-304,
-32
],
"parameters": {
"color": 7,
"width": 816,
"height": 352,
"content": "## Gmail intake and noise filters\n* Pull messages from a Gmail label\n* Keep only real LinkedIn messages and InMails\n* Remove common automated notifications\nTip: update filter phrases to match your LinkedIn email language\n"
},
"typeVersion": 1
},
{
"id": "9da769c2-9ac6-4e2f-8f6b-6f9e8aefed6c",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
592,
-48
],
"parameters": {
"color": 7,
"width": 432,
"height": 784,
"content": "## AI triage\n* Sends subject, sender, date, and a body excerpt to the model\n* Returns structured output for stable mapping\n* Produces action, relevancy, sales likelihood, summary, and optional reply draft\n"
},
"typeVersion": 1
},
{
"id": "e5f03d0a-bc28-4f9f-b11d-74ff675003b8",
"name": "Sticky Note5",
"type": "n8n-nodes-base.stickyNote",
"position": [
848,
-288
],
"parameters": {
"color": 3,
"width": 336,
"height": 256,
"content": "## Privacy note\nThis workflow sends email content to an LLM.\n\nDo not run this on sensitive mailboxes unless you are comfortable with that.\n\nIf needed:\n* reduce body length\n* redact content before the agent\n* store only summaries\n"
},
"typeVersion": 1
},
{
"id": "6a69872d-f2b0-4dd9-a609-d2cb771ec496",
"name": "Sticky Note9",
"type": "n8n-nodes-base.stickyNote",
"position": [
1328,
0
],
"parameters": {
"color": 7,
"width": 624,
"height": 320,
"content": "## Outputs\n* Notion stores every triaged message for later review\n* Slack notifies you only for reply_quick items\n"
},
"typeVersion": 1
},
{
"id": "c66580a6-5c86-4c39-8387-940109157b85",
"name": "Sticky Note10",
"type": "n8n-nodes-base.stickyNote",
"position": [
2016,
48
],
"parameters": {
"color": 3,
"width": 336,
"height": 224,
"content": "## Cost and reliability\nNotes:\n* `maxTokens` is high, which can increase cost\n* If parsing fails, reduce body length or simplify the schema\n* Consider a fallback:\n * if output invalid, set `action = review`\n"
},
"typeVersion": 1
}
],
"active": false,
"settings": {
"availableInMCP": false,
"executionOrder": "v1"
},
"versionId": "830e9afc-f6ac-4268-9c73-75d599ab5d70",
"connections": {
"Daily Trigger": {
"main": [
[
{
"node": "Pull Messages From with LinkedIn tags",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "Structured Output Parser",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Open AI Chat Model": {
"ai_languageModel": [
[
{
"node": "LinkedIn Triage Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"LinkedIn Triage Agent": {
"main": [
[
{
"node": "Filter out Irrelevant and Sales heavy requests",
"type": "main",
"index": 0
}
]
]
},
"Pull body of messages": {
"main": [
[
{
"node": "LinkedIn Triage Agent",
"type": "main",
"index": 0
}
]
]
},
"Structured Output Parser": {
"ai_outputParser": [
[
{
"node": "LinkedIn Triage Agent",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"Put into Ticketing System": {
"main": [
[
{
"node": "Filter out reply quick tickets",
"type": "main",
"index": 0
}
]
]
},
"Filter out reply quick tickets": {
"main": [
[
{
"node": "Send Message to myself",
"type": "main",
"index": 0
}
]
]
},
"Pull Messages From with LinkedIn tags": {
"main": [
[
{
"node": "First Filter for non direct messages or invites",
"type": "main",
"index": 0
}
]
]
},
"Filter out Irrelevant and Sales heavy requests": {
"main": [
[
{
"node": "Put into Ticketing System",
"type": "main",
"index": 0
}
]
]
},
"First Filter for non direct messages or invites": {
"main": [
[
{
"node": "Second Filter for non direct messages or invites",
"type": "main",
"index": 0
}
]
]
},
"Second Filter for non direct messages or invites": {
"main": [
[
{
"node": "Pull body of messages",
"type": "main",
"index": 0
}
]
]
}
}
}
Pro
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
About this workflow
This n8n template demonstrates how to use AI to triage LinkedIn emails in your Gmail inbox, so you only see the messages worth your time. It filters out automated noise, scores sales likelihood, drafts quick replies for real conversations, stores everything in Notion, and sends…
Source: https://n8n.io/workflows/13121/ — original creator credit. Request a take-down →
Related workflows
Workflows that share integrations, category, or trigger type with this one. All free to copy and import.
Created by: Peyton Leveillee Last updated: October 2025
OpenAI Chat, Google Sheets, HTTP Request +5
This n8n-powered workflow automates the entire lifecycle of real estate lead intake, qualification, routing, assignment, and reporting across multiple channels. It brings WhatsApp inquiries and websit
Gmail, Typeform Trigger, WhatsApp Trigger +8
This workflow automates end-to-end sustainability lifecycle management for corporate sustainability teams, ESG governance officers, and circular economy programme leads. It addresses the challenge of
Form Trigger, Agent, OpenAI Chat +11
This workflow automates end-to-end ESG (Environmental, Social, and Governance) sustainability reporting for enterprise sustainability teams, compliance officers, and green governance leads. It solves
Agent, OpenAI Chat, Output Parser Structured +12
This template is designed for B2B sales teams, recruiters, and business development professionals who want to identify sales opportunities by monitoring hiring signals from target companies. It's part
@Apify/N8N Nodes Apify, Google Sheets, Agent +4