This workflow follows the Agent → HTTP Request 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": "linkedinGhostWritter",
"nodes": [
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "15aeac4c-d92f-4d90-98e1-695cd53570f5",
"name": "linkedinURL",
"value": "={{ $json.body.linkedinUrl }}",
"type": "string"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
80,
420
],
"id": "98a0e543-3da0-4272-8701-6c64e8483da4",
"name": "Edit Fields"
},
{
"parameters": {
"method": "POST",
"url": "https://api.apify.com/v2/acts/dev_fusion~linkedin-profile-scraper/runs?token=apify_api_5ytrhHkfUpb7wvx83mlKBigCpwflBC2T5EdB",
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "=profileUrls",
"value": "={{ [$('Webhook').item.json.body.linkedinUrl] }}"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
320,
420
],
"id": "d6cd6daa-04d6-44b2-9e3e-d7c6fcf13789",
"name": "HTTP Request"
},
{
"parameters": {
"promptType": "define",
"text": "=\ud83d\udcc4 The following is the user's LinkedIn profile information:\n\n\ud83d\udc64 **Headline**: {{ $('Scrapper').item.json.headline ?? '' }}\n\ud83e\uddfe **About**: {{ $('Scrapper').item.json.about?.slice(0, 700) ?? '' }}\n\n\ud83d\udcda Below are some of the user\u2019s past LinkedIn posts. Analyze their tone, storytelling style, emoji usage, and structure.\n\n{{ $json.combinedPostText.slice(0, 2000) ?? '' }}\n\n\n---\n\n\u270d\ufe0f Now, based on this tone and voice, generate a **new LinkedIn post**.\n\n\ud83c\udfaf **Topic**: {{ $('Webhook').item.json.body.topic ?? '' }}\n\ud83e\udde0 **Perspective**: {{ $('Webhook').item.json.body.perspective ?? ''}}\n\ud83d\udcc2 **Category**: {{ $('Webhook').item.json.body.category ?? '' }}\n\n\ud83d\udccc Output Guidelines:\n- Start with a compelling hook line (use an emoji)\n- Follow a story-driven structure (personal touch + examples)\n- Use emojis that reflect the tone and add clarity\n- Make it sound authentic, like the previous posts\n- Reflect the user\u2019s experience, mindset, and domain knowledge\n- End with a reflective question or a powerful takeaway\n- Include **3\u20135 relevant and creative hashtags**\n",
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.agent",
"typeVersion": 2,
"position": [
2120,
240
],
"id": "990090a2-4697-4f3d-b5e2-057b811a0c3d",
"name": "AI Agent"
},
{
"parameters": {
"model": "llama-3.3-70b-versatile",
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatGroq",
"typeVersion": 1,
"position": [
2120,
500
],
"id": "4f35921e-cf6e-4c8d-a48e-c53856839a2f",
"name": "Groq Chat Model",
"credentials": {
"groqApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"sessionIdType": "customKey",
"sessionKey": "trial-session-run"
},
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"typeVersion": 1.3,
"position": [
2240,
640
],
"id": "55b9cd43-efa4-4b52-9cf7-594058f6ed92",
"name": "Simple Memory"
},
{
"parameters": {
"jsCode": "const updates = $input.first().json.updates || [];\nlet combinedText = \"\";\n\nfor (let i = 0; i < updates.length; i++) {\n if (updates[i].postText) {\n combinedText += `\ud83d\udcdd Post ${i + 1}:\\n${updates[i].postText}\\n\\n`;\n }\n}\n\nreturn [\n {\n json: {\n combinedPostText: combinedText.trim()\n }\n }\n];\n"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
1840,
240
],
"id": "6583b1af-a8a1-4c55-8c8e-20d1c1fbe06f",
"name": "Code"
},
{
"parameters": {
"httpMethod": "POST",
"path": "d2d4342f-c128-41c0-8c19-840855d034fc",
"responseMode": "responseNode",
"options": {}
},
"type": "n8n-nodes-base.webhook",
"typeVersion": 2,
"position": [
-480,
20
],
"id": "c8c2c507-4440-48a9-935c-25e7eeba1a28",
"name": "Webhook"
},
{
"parameters": {
"amount": 15
},
"type": "n8n-nodes-base.wait",
"typeVersion": 1.1,
"position": [
1220,
240
],
"id": "0aa99387-4f50-4044-9d7b-fdf47025aab5",
"name": "Wait"
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "20535b95-5f6f-40df-a650-ea7c1bc3abbb",
"name": "runId",
"value": "={{ $json.data.id }}",
"type": "string"
},
{
"id": "38dbf1a3-44b2-4b53-a0e2-7c3a94240c55",
"name": "datasetId",
"value": "={{ $json.data.defaultDatasetId }}",
"type": "string"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
600,
420
],
"id": "15c3d563-3a02-4e86-b483-186f1093a95c",
"name": "Edit Fields1"
},
{
"parameters": {
"amount": 9
},
"type": "n8n-nodes-base.wait",
"typeVersion": 1.1,
"position": [
840,
420
],
"id": "7098d640-a5ec-4aba-8d6d-eeaa34de0e24",
"name": "Wait1"
},
{
"parameters": {
"url": "=https://api.apify.com/v2/actor-runs/{{ $json.runId }}",
"options": {}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
1020,
240
],
"id": "294677ec-facc-4b6b-9b6f-9bdd7986632c",
"name": "status"
},
{
"parameters": {
"url": "=https://api.apify.com/v2/datasets/{{ $json.data.defaultDatasetId }}/items?format=json",
"options": {}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
1520,
240
],
"id": "8bdb5227-5907-485d-b0c9-f62a2841a4fc",
"name": "Scrapper"
},
{
"parameters": {
"respondWith": "json",
"responseBody": "={{ { \"message\": $json.finalPost} }}",
"options": {
"responseCode": 200
}
},
"type": "n8n-nodes-base.respondToWebhook",
"typeVersion": 1.4,
"position": [
2660,
240
],
"id": "e2e0080a-d5b0-4aac-93c9-c74a0fd6f3f7",
"name": "Respond to Webhook"
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "6e7bbf94-8492-4c9b-bd49-8bcb0401eeff",
"name": "finalPost",
"value": "={{ $('AI Agent').item.json.output ?? '' }}\n",
"type": "string"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
2440,
240
],
"id": "d93228cd-1df2-471b-8feb-cdb0fd7adb48",
"name": "Edit Fields3"
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"id": "6589af5f-ba5e-47be-8217-bb9571e9d7a9",
"leftValue": "={{ $('status').item.json.data.status }}",
"rightValue": "SUCCEEDED",
"operator": {
"type": "string",
"operation": "equals",
"name": "filter.operator.equals"
}
}
],
"combinator": "and"
},
"options": {}
},
"type": "n8n-nodes-base.if",
"typeVersion": 2.2,
"position": [
1400,
440
],
"id": "81de96c3-68b9-4ee6-b65e-39dbfbdc770b",
"name": "If"
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"id": "d24e62d7-1d4b-489d-92bd-5b5b9fa66ebf",
"leftValue": "={{ $json.body.mode }}",
"rightValue": "manual",
"operator": {
"type": "string",
"operation": "equals",
"name": "filter.operator.equals"
}
}
],
"combinator": "and"
},
"options": {}
},
"type": "n8n-nodes-base.if",
"typeVersion": 2.2,
"position": [
-80,
20
],
"id": "d82f46df-fff8-485d-b6c1-a4f30c19abcd",
"name": "If1"
},
{
"parameters": {
"promptType": "define",
"text": "=\ud83d\udcc4 Below are multiple LinkedIn posts written by the user. These reflect their authentic voice, tone, structure, and use of emojis.\n\n{{ $('Webhook').item.json.body.postsArray.join('\\n\\n---\\n\\n') ?? '' }}\n\n\ud83e\udde0 Analyze the tone, sentence flow, storytelling style, emoji usage, and structure. Understand how the user expresses their thoughts, emotions, and expertise across posts.\n\n---\n\n\u270d\ufe0f Now, based on this voice and style, generate a **new LinkedIn post**.\n\n\ud83c\udfaf **Topic**: {{ $('Webhook').item.json.body.topic ?? '' }}\n\ud83d\udcac **Perspective**: {{ $('Webhook').item.json.body.perspective ?? '' }}\n\ud83d\udcc2 **Category**: {{ $('Webhook').item.json.body.category ?? '' }}\n\n\ud83d\udccc Output Guidelines:\n- Start with a compelling hook line (use an emoji)\n- Follow a personal, story-driven structure (authenticity matters)\n- Use emojis that match the tone and enhance clarity\n- Imitate the sentence rhythm, paragraph style, and word choice from the user\u2019s past posts\n- Reflect the user\u2019s mindset and domain understanding\n- End with a thought-provoking line, question, or insight\n- Add **3\u20135 creative and relevant hashtags**\n",
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.agent",
"typeVersion": 2,
"position": [
260,
-220
],
"id": "c0ec6e82-6c16-4a10-b7f3-b9fee0529a21",
"name": "AI Agent1"
},
{
"parameters": {
"model": "llama-3.3-70b-versatile",
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatGroq",
"typeVersion": 1,
"position": [
260,
20
],
"id": "c2889348-a385-486f-82bc-79e40a569ea2",
"name": "Groq Chat Model1",
"credentials": {
"groqApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"sessionIdType": "customKey",
"sessionKey": "trail-session-run"
},
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"typeVersion": 1.3,
"position": [
380,
160
],
"id": "6911feba-9b1d-4360-b731-9f1052c04cb0",
"name": "Simple Memory1"
},
{
"parameters": {
"respondWith": "json",
"responseBody": "={{ { \"message\": $json.output} }}",
"options": {}
},
"type": "n8n-nodes-base.respondToWebhook",
"typeVersion": 1.4,
"position": [
660,
-220
],
"id": "15ac9e53-5d8a-49c1-90ce-d63c4a0f4a72",
"name": "Respond to Webhook1"
}
],
"connections": {
"Edit Fields": {
"main": [
[
{
"node": "HTTP Request",
"type": "main",
"index": 0
}
]
]
},
"HTTP Request": {
"main": [
[
{
"node": "Edit Fields1",
"type": "main",
"index": 0
}
]
]
},
"Groq Chat Model": {
"ai_languageModel": [
[
{
"node": "AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Simple Memory": {
"ai_memory": [
[
{
"node": "AI Agent",
"type": "ai_memory",
"index": 0
}
]
]
},
"Code": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
},
"Webhook": {
"main": [
[
{
"node": "If1",
"type": "main",
"index": 0
}
]
]
},
"Wait": {
"main": [
[
{
"node": "If",
"type": "main",
"index": 0
}
]
]
},
"Edit Fields1": {
"main": [
[
{
"node": "Wait1",
"type": "main",
"index": 0
}
]
]
},
"Wait1": {
"main": [
[
{
"node": "status",
"type": "main",
"index": 0
}
]
]
},
"status": {
"main": [
[
{
"node": "Wait",
"type": "main",
"index": 0
}
]
]
},
"Scrapper": {
"main": [
[
{
"node": "Code",
"type": "main",
"index": 0
}
]
]
},
"AI Agent": {
"main": [
[
{
"node": "Edit Fields3",
"type": "main",
"index": 0
}
]
]
},
"Edit Fields3": {
"main": [
[
{
"node": "Respond to Webhook",
"type": "main",
"index": 0
}
]
]
},
"If": {
"main": [
[
{
"node": "Scrapper",
"type": "main",
"index": 0
}
],
[
{
"node": "status",
"type": "main",
"index": 0
}
]
]
},
"If1": {
"main": [
[
{
"node": "AI Agent1",
"type": "main",
"index": 0
}
],
[
{
"node": "Edit Fields",
"type": "main",
"index": 0
}
]
]
},
"Groq Chat Model1": {
"ai_languageModel": [
[
{
"node": "AI Agent1",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Simple Memory1": {
"ai_memory": [
[
{
"node": "AI Agent1",
"type": "ai_memory",
"index": 0
}
]
]
},
"AI Agent1": {
"main": [
[
{
"node": "Respond to Webhook1",
"type": "main",
"index": 0
}
]
]
}
},
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "4f1c2da0-0650-4f13-9a48-82f4bc81c979",
"meta": {
"templateCredsSetupCompleted": true
},
"id": "v61JLeHLKOQMgbNz",
"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.
groqApi
Pro
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About this workflow
linkedinGhostWritter. Uses httpRequest, agent, lmChatGroq, memoryBufferWindow. Webhook trigger; 20 nodes.
Source: https://gist.github.com/deepviber0/57aea97e5155d2ffdbc2a178c5730700 — original creator credit. Request a take-down →
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