✍️ 使用GPT-4o创建博客推广LinkedIn帖文的AI代理
中级
这是一个AI, Marketing领域的自动化工作流，包含 13 个节点。主要使用 Set, Code, Ghost, Merge, GoogleSheets 等节点，结合人工智能技术实现智能自动化。 ✍️ 使用GPT-4o创建博客推广LinkedIn帖文的AI代理
前置要求
- •Google Sheets API 凭证
- •OpenAI API Key
工作流预览
可视化展示节点连接关系，支持缩放和平移
导出工作流
复制以下 JSON 配置到 n8n 导入，即可使用此工作流
{
"meta": {
"instanceId": "=",
"templateCredsSetupCompleted": true
},
"nodes": [
{
"id": "4815105b-4175-45ad-85bc-07917de9526c",
"name": "When clicking ‘Test workflow’",
"type": "n8n-nodes-base.manualTrigger",
"position": [
-140,
-720
],
"parameters": {},
"typeVersion": 1
},
{
"id": "b8f2a706-4868-4f0d-99a1-c31e1f7022e3",
"name": "AI Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
1220,
-580
],
"parameters": {
"text": "=Article Title: {{ $json.title }}\nArticle Link: {{ $json.link }}\nArticle Content: {{ $json.clean_content }}",
"options": {
"systemMessage": "=You are a content marketing assistant. Based on the article metadata (ID, title) and cleaned content, generate a short LinkedIn promotional message for a professional audience.\n\nFollow this structure:\n\nStart with a hook that grabs attention (a bold insight, surprising fact, or thought-provoking question).\n\nBriefly summarize the article’s value — what readers will learn or gain from it.\n\nInclude a clear call-to-action encouraging readers to read the article.\n\nEnd with this author signature and invitation:\n“—\nSamir Saci\nSupply Chain Data Scientist & Founder of LogiGreen\n📩 Contact me: https://logi-green.com/contactus”\n\nUse a professional and engaging tone. Do not include hashtags or Markdown formatting."
},
"promptType": "define"
},
"typeVersion": 1.8
},
{
"id": "ac1538f6-67ef-4fd0-b4a9-d44b49149e5f",
"name": "OpenAI Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
1160,
-420
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": {}
},
"typeVersion": 1.2
},
{
"id": "bac79ecf-b92d-42ba-bb0f-f1e1f85ca1c9",
"name": "Clean HTML",
"type": "n8n-nodes-base.code",
"position": [
780,
-620
],
"parameters": {
"jsCode": "const htmlContent = $input.first().json.content;\n\nconst cleanText = htmlContent\n .replace(/<[^>]*>/g, '') // remove tags\n .replace(/\\s+/g, ' ') // normalize spaces\n .replace(/ /g, ' ') // decode common entity\n .trim();\n\nreturn [\n {\n json: {\n clean_content: cleanText\n }\n }\n];\n"
},
"typeVersion": 2
},
{
"id": "fa57b494-370a-4f37-bcbe-38ba6138da76",
"name": "Extract Blog Posts",
"type": "n8n-nodes-base.ghost",
"position": [
80,
-720
],
"parameters": {
"limit": 3,
"options": {},
"operation": "getAll"
},
"notesInFlow": true,
"typeVersion": 1
},
{
"id": "dc19b6a4-fa17-41b4-8f8c-352519f07569",
"name": "Extract Post Content",
"type": "n8n-nodes-base.set",
"position": [
300,
-720
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "00b337cd-1c61-4f19-8c51-b76f3a8dece1",
"name": "id",
"type": "string",
"value": "={{ $json.id }}"
},
{
"id": "8d38f4bc-bca6-4343-8c5e-5d9fd9cbe178",
"name": "title",
"type": "string",
"value": "={{ $json.title }}"
},
{
"id": "c34ddd76-0db6-4225-82fa-04d5542f9c7c",
"name": "featured_image",
"type": "string",
"value": "={{ $json.feature_image }}"
},
{
"id": "c0f9593c-0d5a-4659-9e25-91b098318bd6",
"name": "excerpt",
"type": "string",
"value": "={{ $json.excerpt }}"
},
{
"id": "0d11d3d5-49f8-473a-8602-b49769f88005",
"name": "content",
"type": "string",
"value": "={{ $json.html }}"
},
{
"id": "ec89a00d-9d76-4594-a8ce-98aa177e6737",
"name": "link",
"type": "string",
"value": "={{ $json.url }}"
}
]
}
},
"notesInFlow": true,
"typeVersion": 3.4
},
{
"id": "45656e13-5f03-48f9-8422-0ea3993e3289",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-180,
-1080
],
"parameters": {
"color": 7,
"width": 200,
"height": 520,
"content": "### 1. Workflow Trigger\nThis workflow uses simple trigger.\n\n#### How to setup?\n*Nothing to do.*\n"
},
"typeVersion": 1
},
{
"id": "7b8c3c49-069f-464b-acd2-a1a047fb2138",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
40,
-1080
],
"parameters": {
"color": 7,
"width": 400,
"height": 520,
"content": "### 2. Extract Blog Posts Content\nThe Ghost node extracts all the posts of your blog with content and metadata. In the second node, we extract description, URL, content and features image url.\n\n#### How to setup?\n- **Ghost Account API**:\n 1. Add your Ghost Blog Account Credentials\n 2. Select the number of Blog Posts you want to collect\n [Learn more about the Ghost Node](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.ghost)\n\n"
},
"typeVersion": 1
},
{
"id": "0a5e4045-7df2-4713-a475-509844c58344",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
480,
-1080
],
"parameters": {
"color": 7,
"width": 1520,
"height": 800,
"content": "### 3. Generate a Linkedin Post for each Post with an AI Agent\nThis block loops through all the posts pulled by the Ghost Node, send the content to the AI agent that generates a Linkedin post. The results are combined and pulled in a Google Sheet.\n\n#### How to setup?\n- **AI Agent with the Chat Model**:\n 1. Add a **chat model** with the required credentials *(Example: Open AI 4o-mini)*\n 2. Adapt the system prompt with your **post signature** and additional points you want to add in your posts\n [Learn more about the AI Agent Node](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.agent)\n- **Record Long Break in the Google Sheet Node**:\n 1. Add your Google Sheet API credentials to access the Google Sheet file\n 2. Select the file using the list, an URL or an ID\n 3. Select the sheet in which you want to record your working sessions\n 4. Map the fields\n [Learn more about the Google Sheet Node](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.googlesheets)\n\n"
},
"typeVersion": 1
},
{
"id": "29b09c7f-c39c-414d-b9d5-897b0d540328",
"name": "Record the posts",
"type": "n8n-nodes-base.googleSheets",
"position": [
1840,
-480
],
"parameters": {
"columns": {
"value": {
"id": "={{ $json.id }}",
"title": "={{ $json.title }}",
"content": "={{ $json.content }}",
"excerpt": "={{ $json.excerpt }}",
"clean_content": "={{ $json.clean_content }}",
"linkedin_post": "={{ $json.output }}",
"featured_image": "={{ $json.featured_image }}"
},
"schema": [
{
"id": "id",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "id",
"defaultMatch": true,
"canBeUsedToMatch": true
},
{
"id": "title",
"type": "string",
"display": true,
"required": false,
"displayName": "title",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "featured_image",
"type": "string",
"display": true,
"required": false,
"displayName": "featured_image",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "excerpt",
"type": "string",
"display": true,
"required": false,
"displayName": "excerpt",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "content",
"type": "string",
"display": true,
"required": false,
"displayName": "content",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "clean_content",
"type": "string",
"display": true,
"required": false,
"displayName": "clean_content",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "linkedin_post",
"type": "string",
"display": true,
"required": false,
"displayName": "linkedin_post",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"id"
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "append",
"sheetName": {
"__rl": true,
"mode": "list",
"value": "gid=0",
"cachedResultUrl": "=",
"cachedResultName": "="
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "=",
"cachedResultUrl": "=",
"cachedResultName": "="
}
},
"notesInFlow": true,
"typeVersion": 4.5
},
{
"id": "6f1c58db-a4bf-421a-a182-8149dac28725",
"name": "Merge Linkedin",
"type": "n8n-nodes-base.merge",
"position": [
1600,
-720
],
"parameters": {
"mode": "combineBySql"
},
"notesInFlow": true,
"typeVersion": 3
},
{
"id": "ebae3ccc-2727-44d9-9309-320c7d8e8349",
"name": "Add Clean HTML",
"type": "n8n-nodes-base.merge",
"position": [
1020,
-720
],
"parameters": {
"mode": "combineBySql"
},
"notesInFlow": true,
"typeVersion": 3
},
{
"id": "d839ca8d-f898-4617-955f-9c6d9a5412b7",
"name": "Loop Over Posts",
"type": "n8n-nodes-base.splitInBatches",
"position": [
580,
-720
],
"parameters": {
"options": {}
},
"typeVersion": 3
},
{
"id": "7e759203-b524-4cc5-89df-5e113c800504",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
-180,
-540
],
"parameters": {
"width": 660,
"height": 460,
"content": "### [📺Complete Tutorial](https://www.youtube.com/watch?v=Lhi6hV6rWEo)\n\n"
},
"typeVersion": 1
}
],
"pinData": {},
"connections": {
"b8f2a706-4868-4f0d-99a1-c31e1f7022e3": {
"main": [
[
{
"node": "6f1c58db-a4bf-421a-a182-8149dac28725",
"type": "main",
"index": 1
}
]
]
},
"bac79ecf-b92d-42ba-bb0f-f1e1f85ca1c9": {
"main": [
[
{
"node": "ebae3ccc-2727-44d9-9309-320c7d8e8349",
"type": "main",
"index": 1
}
]
]
},
"ebae3ccc-2727-44d9-9309-320c7d8e8349": {
"main": [
[
{
"node": "b8f2a706-4868-4f0d-99a1-c31e1f7022e3",
"type": "main",
"index": 0
},
{
"node": "6f1c58db-a4bf-421a-a182-8149dac28725",
"type": "main",
"index": 0
}
]
]
},
"6f1c58db-a4bf-421a-a182-8149dac28725": {
"main": [
[
{
"node": "29b09c7f-c39c-414d-b9d5-897b0d540328",
"type": "main",
"index": 0
}
]
]
},
"d839ca8d-f898-4617-955f-9c6d9a5412b7": {
"main": [
[],
[
{
"node": "bac79ecf-b92d-42ba-bb0f-f1e1f85ca1c9",
"type": "main",
"index": 0
},
{
"node": "ebae3ccc-2727-44d9-9309-320c7d8e8349",
"type": "main",
"index": 0
}
]
]
},
"29b09c7f-c39c-414d-b9d5-897b0d540328": {
"main": [
[
{
"node": "d839ca8d-f898-4617-955f-9c6d9a5412b7",
"type": "main",
"index": 0
}
]
]
},
"ac1538f6-67ef-4fd0-b4a9-d44b49149e5f": {
"ai_languageModel": [
[
{
"node": "b8f2a706-4868-4f0d-99a1-c31e1f7022e3",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"fa57b494-370a-4f37-bcbe-38ba6138da76": {
"main": [
[
{
"node": "dc19b6a4-fa17-41b4-8f8c-352519f07569",
"type": "main",
"index": 0
}
]
]
},
"dc19b6a4-fa17-41b4-8f8c-352519f07569": {
"main": [
[
{
"node": "d839ca8d-f898-4617-955f-9c6d9a5412b7",
"type": "main",
"index": 0
}
]
]
},
"4815105b-4175-45ad-85bc-07917de9526c": {
"main": [
[
{
"node": "fa57b494-370a-4f37-bcbe-38ba6138da76",
"type": "main",
"index": 0
}
]
]
}
}
}常见问题
如何使用这个工作流？
复制上方的 JSON 配置代码，在您的 n8n 实例中创建新工作流并选择「从 JSON 导入」，粘贴配置后根据需要修改凭证设置即可。
这个工作流适合什么场景？
中级 - 人工智能, 营销
需要付费吗？
本工作流完全免费，您可以直接导入使用。但请注意，工作流中使用的第三方服务（如 OpenAI API）可能需要您自行付费。
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工作流信息
难度等级
中级
节点数量13
分类2
节点类型10
作者
Samir Saci
@samirsaciAutomation, AI and Analytics for Supply Chain & Business Optimization Helping businesses streamline operations using n8n, AI agents, and data science to enhance efficiency and sustainability. Linkedin: www.linkedin.com/in/samir-saci
外部链接
在 n8n.io 查看 →
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