使用 Gemini AI 和 Flux 图像生成通过热门帖子分析自动创建 LinkedIn 内容
高级
这是一个Content Creation, Multimodal AI领域的自动化工作流，包含 20 个节点。主要使用 Code, Wait, Filter, LinkedIn, Aggregate 等节点。 使用 Gemini AI 和 Flux 图像生成通过热门帖子分析自动创建 LinkedIn 内容
前置要求
- •LinkedIn API 凭证
- •可能需要目标 API 的认证凭证
- •Google Sheets API 凭证
- •Google Gemini API Key
使用的节点 (20)
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": "YOUR_N8N_INSTANCE_ID",
"templateCredsSetupCompleted": true
},
"nodes": [
{
"id": "2421d1cb-fd45-4d09-af46-fe7eddb014bc",
"name": "Google Gemini 聊天模型",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
-800,
1648
],
"parameters": {},
"typeVersion": 1
},
{
"id": "843e69c0-6734-463d-ba79-81eed6350568",
"name": "LinkedIn 内容自动化调度器",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
-1520,
144
],
"parameters": {},
"typeVersion": 1.2
},
{
"id": "ee8cbee4-5929-409e-9f42-daa15971347d",
"name": "获取 LinkedIn 个人资料链接",
"type": "n8n-nodes-base.googleSheets",
"position": [
-1296,
144
],
"parameters": {},
"typeVersion": 4.5
},
{
"id": "a134c65a-51a8-4ad2-9361-56770428013b",
"name": "批量处理个人资料",
"type": "n8n-nodes-base.splitInBatches",
"position": [
-1072,
144
],
"parameters": {},
"typeVersion": 3
},
{
"id": "baa9d8d0-dbc3-405c-827c-44201e9e1864",
"name": "抓取 LinkedIn 帖子 API",
"type": "n8n-nodes-base.httpRequest",
"position": [
-848,
80
],
"parameters": {},
"typeVersion": 4.2
},
{
"id": "200bf2c7-c5b1-499d-bdce-0c13c0f1018c",
"name": "速率限制延迟",
"type": "n8n-nodes-base.wait",
"position": [
-624,
80
],
"webhookId": "YOUR_WEBHOOK_ID",
"parameters": {},
"typeVersion": 1.1
},
{
"id": "beec62a4-f99e-489e-ab2f-3102999e5853",
"name": "筛选高互动帖子",
"type": "n8n-nodes-base.filter",
"position": [
-400,
80
],
"parameters": {},
"typeVersion": 2.2
},
{
"id": "eaa2f9f9-462f-4838-a5ca-69fa6be91614",
"name": "将热门帖子保存到表格",
"type": "n8n-nodes-base.googleSheets",
"position": [
-176,
144
],
"parameters": {},
"typeVersion": 4.5
},
{
"id": "5a5a5e59-e3ad-4c78-9296-495c90a00ad7",
"name": "新帖子数据触发器",
"type": "n8n-nodes-base.googleSheetsTrigger",
"position": [
-1456,
1456
],
"parameters": {},
"typeVersion": 1
},
{
"id": "de36c1f0-e0d9-4613-8853-f7778ec3125d",
"name": "筛选近期帖子（3天内）",
"type": "n8n-nodes-base.filter",
"position": [
-1232,
1456
],
"parameters": {},
"typeVersion": 2.2
},
{
"id": "d29253cd-e744-4f41-90c4-07d4c7b101da",
"name": "聚合趋势内容",
"type": "n8n-nodes-base.aggregate",
"position": [
-1008,
1456
],
"parameters": {},
"typeVersion": 1
},
{
"id": "5b66d4ed-93c5-487f-b421-4988efb6f765",
"name": "LinkedIn 内容策略 AI",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
-784,
1456
],
"parameters": {},
"typeVersion": 2.2
},
{
"id": "5a5bec30-5bf1-4f0b-b925-7b5d482dd455",
"name": "JSON 输出解析器",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
-640,
1680
],
"parameters": {},
"typeVersion": 1.3
},
{
"id": "72e67a9d-7f68-4f12-ae37-f568e9cc8a28",
"name": "生成帖子图片",
"type": "n8n-nodes-base.httpRequest",
"position": [
-432,
1456
],
"parameters": {},
"typeVersion": 4.2
},
{
"id": "ced01e5e-bb88-4eeb-86e0-df7d20725872",
"name": "下载生成的图片",
"type": "n8n-nodes-base.httpRequest",
"position": [
-208,
1456
],
"parameters": {},
"typeVersion": 4.2
},
{
"id": "7501ca46-93ac-4ce8-a5d3-8d0eb0e2dc4f",
"name": "发布到 LinkedIn",
"type": "n8n-nodes-base.linkedIn",
"position": [
16,
1456
],
"parameters": {},
"typeVersion": 1
},
{
"id": "3ec614e2-a0c0-4a3e-b189-29417ed8caf1",
"name": "提取已分析帖子链接",
"type": "n8n-nodes-base.code",
"position": [
224,
1456
],
"parameters": {},
"typeVersion": 2
},
{
"id": "129d48d7-7c3b-4ef7-9296-d058d034832b",
"name": "标记帖子为已分析",
"type": "n8n-nodes-base.googleSheets",
"position": [
448,
1456
],
"parameters": {},
"typeVersion": 4.7
},
{
"id": "009b2c84-7c90-4e76-8ffa-430e63d79853",
"name": "便签",
"type": "n8n-nodes-base.stickyNote",
"position": [
-2096,
-320
],
"parameters": {
"content": ""
},
"typeVersion": 1
},
{
"id": "2b60af78-4faa-407e-9ade-301328afed03",
"name": "便签1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-2080,
1040
],
"parameters": {
"content": ""
},
"typeVersion": 1
}
],
"pinData": {},
"connections": {
"JSON Output Parser": {
"ai_outputParser": [
[
{
"node": "LinkedIn Content Strategy AI",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"Generate Post Image": {
"main": [
[
{
"node": "Download Generated Image",
"type": "main",
"index": 0
}
]
]
},
"Publish to LinkedIn": {
"main": [
[
{
"node": "Extract Analyzed Post URLs",
"type": "main",
"index": 0
}
]
]
},
"Rate Limiting Delay": {
"main": [
[
{
"node": "Filter High-Engagement Posts",
"type": "main",
"index": 0
}
]
]
},
"New Post Data Trigger": {
"main": [
[
{
"node": "Filter Recent Posts (3 Days)",
"type": "main",
"index": 0
}
]
]
},
"Download Generated Image": {
"main": [
[
{
"node": "Publish to LinkedIn",
"type": "main",
"index": 0
}
]
]
},
"Google Gemini Chat Model": {
"ai_languageModel": [
[
{
"node": "LinkedIn Content Strategy AI",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Scrape LinkedIn Posts API": {
"main": [
[
{
"node": "Rate Limiting Delay",
"type": "main",
"index": 0
}
]
]
},
"Aggregate Trending Content": {
"main": [
[
{
"node": "LinkedIn Content Strategy AI",
"type": "main",
"index": 0
}
]
]
},
"Extract Analyzed Post URLs": {
"main": [
[
{
"node": "Mark Posts as Analyzed",
"type": "main",
"index": 0
}
]
]
},
"Save Viral Posts to Sheets": {
"main": [
[
{
"node": "Process Profiles in Batches",
"type": "main",
"index": 0
}
]
]
},
"Fetch LinkedIn Profile URLs": {
"main": [
[
{
"node": "Process Profiles in Batches",
"type": "main",
"index": 0
}
]
]
},
"Process Profiles in Batches": {
"main": [
[],
[
{
"node": "Scrape LinkedIn Posts API",
"type": "main",
"index": 0
}
]
]
},
"Filter High-Engagement Posts": {
"main": [
[
{
"node": "Save Viral Posts to Sheets",
"type": "main",
"index": 0
}
]
]
},
"Filter Recent Posts (3 Days)": {
"main": [
[
{
"node": "Aggregate Trending Content",
"type": "main",
"index": 0
}
]
]
},
"LinkedIn Content Strategy AI": {
"main": [
[
{
"node": "Generate Post Image",
"type": "main",
"index": 0
}
]
]
},
"LinkedIn Content Automation Scheduler": {
"main": [
[
{
"node": "Fetch LinkedIn Profile URLs",
"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？
高级 - 内容创作, 多模态 AI
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。
相关工作流推荐
LinkedIn和X病毒内容自动引擎
使用AI生成和发布自动创建LinkedIn和X的病毒内容
If
Set
Wait
+26
156 节点Diptamoy Barman
内容创作
WordPress博客自动化专业版（深度研究）v2.1市场
使用GPT-4o、Perplexity AI和多语言支持自动化SEO优化的博客创建
If
Set
Xml
+27
125 节点Daniel Ng
内容创作
内容聚合
使用Gemini AI从网站文章自动化社交媒体帖子发布到LinkedIn和X/Twitter
If
Set
Xml
+16
34 节点Vadim
内容创作
使用AI和Freepik将Reddit商业痛点转换为病毒式LinkedIn内容
使用AI和Freepik将Reddit商业痛点转换为病毒式LinkedIn内容
If
Set
Code
+16
48 节点Daniel Lianes
内容创作
Linkedin 自动化 - Archit Jain
使用 GPT-4 和 Google Sheets 从 Twitter AI 帖子自动创建 LinkedIn 内容
Code
Wait
Limit
+15
35 节点Archit Jain
人工智能
1. 播放列表详情设置机器人副本
使用 Suno、GPT-4、Runway 和 Creatomate 创建 AI 生成的 YouTube 音乐播放列表
If
Set
Code
+22
203 节点Joseph
内容创作
工作流信息
难度等级
高级
节点数量20
分类2
节点类型14
作者
Roshan Ramani
@rawsun007I love building smart n8n automations that actually work reliably. My focus is on making everyday tasks like email, social media, and CRM workflows simpler using AI. I've shared templates in the n8n community, including a WhatsApp Expense Tracker that people really enjoy. What keeps me excited is constantly trying new things - testing fresh nodes, playing with AI tools like LangChain, and discovering creative ways to connect systems!
外部链接
在 n8n.io 查看 →
分享此工作流