监控LinkedIn帖子并使用OpenAI和Airtable创建AI内容摘要
高级
这是一个Content Creation, Multimodal AI领域的自动化工作流，包含 30 个节点。主要使用 If, Set, Code, Wait, Airtable 等节点。 监控LinkedIn帖子并使用OpenAI和Airtable创建AI内容摘要
前置要求
- •Airtable API Key
- •可能需要目标 API 的认证凭证
- •OpenAI API Key
使用的节点 (30)
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": "94fc2c6a7a77ded555aa833bb96d962eb52fa6fab7c08bc61fda4e8d5d10e8c1",
"templateCredsSetupCompleted": true
},
"nodes": [
{
"id": "92102cf3-03fb-4b4f-9c28-5c147393ae3a",
"name": "计划触发器",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
-2912,
496
],
"parameters": {
"rule": {
"interval": [
{}
]
}
},
"typeVersion": 1.2
},
{
"id": "49d460f3-90df-4b9b-9af8-f1c75029ea8f",
"name": "获取每日 LinkedIn 帖子",
"type": "n8n-nodes-base.httpRequest",
"position": [
-1568,
64
],
"parameters": {
"url": "=https://professional-network-data.p.rapidapi.com/get-profile-posts?start=0&username={{ $('Daily Check').item.json['LinkedIn profile URN'] }}",
"options": {},
"sendQuery": true,
"queryParameters": {
"parameters": [
{
"name": "postedAt",
"value": "={{ $('Set Date Variables').item.json.yesterday }}"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "8e25fef7-f183-46f0-a7c7-880a1b89b560",
"name": "提取信息",
"type": "n8n-nodes-base.code",
"position": [
-1120,
-32
],
"parameters": {
"jsCode": "// Extract data from LinkedIn API response\nconst inputData = $input.all();\n// Process each item in the input data\nconst results = [];\nfor (const item of inputData) {\n // Handle the actual structure - data is directly in item.json.data\n const posts = item.json?.data || [];\n \n for (const post of posts) {\n // Extract LinkedIn profile URL and URN\n const profileUrl = post.author?.url || '';\n const profileUrn = post.author?.urn || '';\n \n // Extract person's name information\n const firstName = post.author?.firstName || '';\n const lastName = post.author?.lastName || '';\n const fullName = firstName && lastName ? `${firstName} ${lastName}` : '';\n \n // Extract post URL and URN\n const postUrl = post.postUrl || '';\n const postUrn = post.urn || '';\n \n // Extract timestamp and published date\n const timestamp = post.postedDateTimestamp || 0;\n const publishedDate = post.postedDate || '';\n \n // Extract reactions and comments\n const reactions = post.totalReactionCount || 0;\n const comments = post.commentsCount || 0;\n \n // Extract post content/text\n const postContent = post.text || '';\n \n // Calculate 14 days from publish date\n let twoWeeksFromPublish = '';\n let dateCreated = '';\n \n if (timestamp) {\n const publishDate = new Date(timestamp);\n const twoWeeksLater = new Date(publishDate.getTime() + (14 * 24 * 60 * 60 * 1000));\n twoWeeksFromPublish = twoWeeksLater.toISOString().split('T')[0] + 'T' + twoWeeksLater.toISOString().split('T')[1];\n \n // Create clean date format MM/DD/YYYY\n const month = String(publishDate.getMonth() + 1).padStart(2, '0');\n const day = String(publishDate.getDate()).padStart(2, '0');\n const year = publishDate.getFullYear();\n dateCreated = `${month}/${day}/${year}`;\n }\n \n // Create result object\n results.push({\n linkedinProfileUrl: profileUrl,\n linkedinProfileUrn: profileUrn,\n firstName: firstName,\n lastName: lastName,\n fullName: fullName,\n postUrl: postUrl,\n postUrn: postUrn,\n timestamp: timestamp,\n publishedDate: publishedDate,\n dateCreated: dateCreated, // New clean date field in MM/DD/YYYY format\n postContent: postContent, // LinkedIn post text content\n reactions: reactions,\n comments: comments,\n twoWeeksFromPublishDate: twoWeeksFromPublish\n });\n }\n}\nreturn results;"
},
"typeVersion": 2
},
{
"id": "67a88aea-3991-45d5-abf0-e370efb911c2",
"name": "随机延迟",
"type": "n8n-nodes-base.code",
"position": [
-2016,
64
],
"parameters": {
"jsCode": "// Random Time Generator - Returns single random time object\n\n// Function to generate random seconds with decimal places\nfunction generateRandomSeconds(min = 0.1, max = 60, decimalPlaces = 1) {\n const randomValue = Math.random() * (max - min) + min;\n return Number(randomValue.toFixed(decimalPlaces));\n}\n\n// Generate single random time\nconst seconds = generateRandomSeconds(0.1, 60, 1);\n\n// Return array with single object (n8n requirement)\nreturn [{\n seconds: seconds,\n formatted: `${seconds} seconds`,\n milliseconds: seconds * 1000\n}];"
},
"typeVersion": 2
},
{
"id": "c8ab6ef7-594b-4892-8718-cdc1a7b7a112",
"name": "等待",
"type": "n8n-nodes-base.wait",
"position": [
-1792,
64
],
"webhookId": "dff44515-35fc-463d-ba65-c72485a5941a",
"parameters": {
"amount": "={{ $('Random Delay').item.json.seconds }}"
},
"typeVersion": 1.1
},
{
"id": "4a122b91-a994-42e7-ac87-4068cce1f4b7",
"name": "遍历项目",
"type": "n8n-nodes-base.splitInBatches",
"position": [
-2240,
496
],
"parameters": {
"options": {}
},
"typeVersion": 3
},
{
"id": "fe9cad80-f403-4c6d-858d-c5cd6bddb78b",
"name": "条件判断",
"type": "n8n-nodes-base.if",
"position": [
-1344,
64
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "cd679495-e5a2-4c4e-a1c9-2388aaa9c221",
"operator": {
"type": "boolean",
"operation": "true",
"singleValue": true
},
"leftValue": "={{ $json.data && $json.data.length > 0 }}",
"rightValue": ""
},
{
"id": "f5cfff76-e915-4596-a6db-e72fb7a20cb5",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "",
"rightValue": ""
}
]
}
},
"typeVersion": 2.2
},
{
"id": "79b97de1-6014-4b88-abaa-4c8892fe450a",
"name": "无操作，不执行任何操作",
"type": "n8n-nodes-base.noOp",
"position": [
-1120,
160
],
"parameters": {},
"typeVersion": 1
},
{
"id": "fb2d459f-f272-47e1-93a1-af9ce01b1a5b",
"name": "无操作，不执行任何操作2",
"type": "n8n-nodes-base.noOp",
"position": [
-2032,
256
],
"parameters": {},
"typeVersion": 1
},
{
"id": "e7e38169-a02f-4eff-a13c-fc1f0112991c",
"name": "设置日期变量",
"type": "n8n-nodes-base.set",
"position": [
-2688,
496
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "end_of_day",
"name": "yesterday",
"type": "string",
"value": "={{ new Date(Date.now() - 24 * 60 * 60 * 1000).toISOString().split('T')[0] }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "4cb60e14-5e0c-42a9-9aaa-0cb81faaa0cb",
"name": "每日检查",
"type": "n8n-nodes-base.airtable",
"position": [
-2464,
496
],
"parameters": {
"base": {
"__rl": true,
"mode": "url",
"value": ""
},
"sort": {
"property": [
{
"field": "Name"
}
]
},
"table": {
"__rl": true,
"mode": "list",
"value": "",
"cachedResultUrl": "",
"cachedResultName": ""
},
"options": {},
"operation": "search",
"filterByFormula": "="
},
"credentials": {
"airtableTokenApi": {
"id": "HEt5eMuHHO1BKceg",
"name": "TEST"
}
},
"typeVersion": 2.1
},
{
"id": "e7f98dbd-a612-4c67-81c0-20cd2b2e3787",
"name": "查找 CB 社区",
"type": "n8n-nodes-base.airtable",
"position": [
-672,
-32
],
"parameters": {
"base": {
"__rl": true,
"mode": "url",
"value": ""
},
"table": {
"__rl": true,
"mode": "url",
"value": ""
},
"options": {},
"operation": "search",
"filterByFormula": "="
},
"credentials": {
"airtableTokenApi": {
"id": "HEt5eMuHHO1BKceg",
"name": "TEST"
}
},
"typeVersion": 2.1,
"alwaysOutputData": true
},
{
"id": "9155dcef-8eef-484f-9224-d1baf09f1f73",
"name": "如果2",
"type": "n8n-nodes-base.if",
"position": [
-448,
-32
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "cd679495-e5a2-4c4e-a1c9-2388aaa9c221",
"operator": {
"type": "object",
"operation": "notEmpty",
"singleValue": true
},
"leftValue": "={{ $json }}",
"rightValue": ""
}
]
}
},
"typeVersion": 2.2
},
{
"id": "655a9f68-41e8-4e22-a67f-e865edd4c886",
"name": "无操作，不执行任何操作3",
"type": "n8n-nodes-base.noOp",
"position": [
-224,
64
],
"parameters": {},
"typeVersion": 1
},
{
"id": "d7ed4b4a-868c-4e15-b25a-9f33534e7c02",
"name": "清理个人资料数据1",
"type": "n8n-nodes-base.set",
"position": [
-896,
-32
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "f26c38a1-9094-4408-9786-021250920768",
"name": "linkedin_profile_clean_urn",
"type": "string",
"value": "={{ $('Extract Info').item.json.linkedinProfileUrn.replace('urn:li:fsd_profile:', '') }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "9ad2e8e5-0ce0-4e1c-9070-136f17f1740d",
"name": "OpenAI 聊天模型",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
16,
96
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "WD2Kd3Z9C0bcIZxN",
"name": "TEST"
}
},
"typeVersion": 1.2
},
{
"id": "dcf95f09-06aa-4b01-a17c-a3bfc15a25a6",
"name": "结构化输出解析器",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
144,
96
],
"parameters": {
"jsonSchemaExample": "{\n \"post_preview\": \"My top 5 fire tools to help im...\"\n}"
},
"typeVersion": 1.2
},
{
"id": "ff38831b-1b5f-4cf1-8598-298e28beee30",
"name": "检查帖子是否存在？",
"type": "n8n-nodes-base.if",
"position": [
576,
-128
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "cd679495-e5a2-4c4e-a1c9-2388aaa9c221",
"operator": {
"type": "object",
"operation": "notEmpty",
"singleValue": true
},
"leftValue": "={{ $json}}",
"rightValue": ""
}
]
}
},
"typeVersion": 2.2
},
{
"id": "c8251669-b2a2-46db-9bcc-61d9093ef316",
"name": "查找帖子",
"type": "n8n-nodes-base.airtable",
"position": [
352,
-128
],
"parameters": {
"base": {
"__rl": true,
"mode": "url",
"value": ""
},
"table": {
"__rl": true,
"mode": "url",
"value": "",
"__regex": "https://airtable.com/[a-zA-Z0-9]{2,}/([a-zA-Z0-9]{2,})"
},
"options": {},
"operation": "search",
"filterByFormula": "="
},
"credentials": {
"airtableTokenApi": {
"id": "HEt5eMuHHO1BKceg",
"name": "TEST"
}
},
"typeVersion": 2.1,
"alwaysOutputData": true
},
{
"id": "9769e6b0-5b77-4bb4-be4c-ea87f9f329c2",
"name": "格式化",
"type": "n8n-nodes-base.set",
"position": [
-224,
-128
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "2de2cad6-dd98-4d52-b990-02e33231d7b2",
"name": "postcontent",
"type": "string",
"value": "={{ $('Extract Info').item.json.postContent }}"
},
{
"id": "dc12b518-c5ad-48ee-94e8-776d08cc0df3",
"name": "authorfullname",
"type": "string",
"value": "={{ $json.Name }}"
},
{
"id": "207676d1-9d4f-42ba-aa34-376400720f39",
"name": "authorprofileurl",
"type": "string",
"value": "={{ $json['LinkedIn profile URL'] }}"
},
{
"id": "2e535b97-6cf9-4e62-98d0-648372782be5",
"name": "authorprofileurn",
"type": "string",
"value": "={{ $json['LinkedIn profile URN'] }}"
},
{
"id": "13a9739e-0c00-4a1b-9f80-a98ca45eedf4",
"name": "posturl",
"type": "string",
"value": "={{ $('Extract Info').item.json.postUrl }}"
},
{
"id": "175ea9d3-ed06-4f86-8f0d-f914c16b7336",
"name": "postdatecreated",
"type": "string",
"value": "={{ $('Extract Info').item.json.dateCreated }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "1e16a370-3cc3-41fd-9726-5a8a8bc9b10b",
"name": "LinkedIn 摘要",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
0,
-128
],
"parameters": {
"text": "=I will provide you a LinkedIn post as input. \n\nYou MUST format your response as JSON in the following format:\n{ \n \"post_preview\": \"<First 30 characters of the post followed by '...'>\"\n}\n\n\nFor the \"post_preview\" key, take only the first 30 characters of the original post and add \"...\" at the end.\n\nHere's the LinkedIn post I want you to analyze: {{ $json.postcontent }}\n\nYou MUST respond with ONLY valid JSON. Do not include any text before or after the JSON. Your entire response must be this exact format:\n\n{\n \"post_preview\": \"first 30 chars...\"\n}",
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 1.6
},
{
"id": "4c54e5ec-1f8f-4c20-baca-cfab03574a8b",
"name": "无操作，不执行任何操作1",
"type": "n8n-nodes-base.noOp",
"position": [
1008,
240
],
"parameters": {},
"typeVersion": 1
},
{
"id": "b78b7384-3e5d-48f6-9402-df914bcfe2eb",
"name": "创建摘要",
"type": "n8n-nodes-base.airtable",
"position": [
800,
448
],
"parameters": {
"base": {
"__rl": true,
"mode": "url",
"value": ""
},
"table": {
"__rl": true,
"mode": "url",
"value": ""
},
"columns": {
"value": {},
"schema": [
{
"id": "Role Name",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Role Name",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Company Name",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Company Name",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Company Website",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Company Website",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Company Info",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Company Info",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "GTM-related Role?",
"type": "boolean",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "GTM-related Role?",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Required Skills",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Required Skills",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Required Tools",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Required Tools",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Job Post Timestamp",
"type": "dateTime",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Job Post Timestamp",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Location",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Location",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Slack Thread",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Slack Thread",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Job Taken?",
"type": "boolean",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Job Taken?",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "create"
},
"credentials": {
"airtableTokenApi": {
"id": "HEt5eMuHHO1BKceg",
"name": "TEST"
}
},
"typeVersion": 2.1
},
{
"id": "390ed7e5-2d11-45a6-9fd2-8662bc7fe8d4",
"name": "便签 1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-3728,
-80
],
"parameters": {
"width": 640,
"height": 900,
"content": "## 🔍 LinkedIn 帖子监控与内容摘要"
},
"typeVersion": 1
},
{
"id": "338e329b-8f80-4c7a-846b-0fb6a5888ae4",
"name": "便签",
"type": "n8n-nodes-base.stickyNote",
"position": [
-2624,
208
],
"parameters": {
"color": 7,
"width": 300,
"height": 240,
"content": "## 1. 加载社区个人资料"
},
"typeVersion": 1
},
{
"id": "1565469f-b19d-4281-bd88-afc2275fc099",
"name": "便签 2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1680,
-80
],
"parameters": {
"color": 7,
"width": 300,
"height": 240,
"content": "## 2. 获取近期帖子"
},
"typeVersion": 1
},
{
"id": "f8bdcac8-cc4b-457a-8bf7-34fa6558421e",
"name": "便签 3",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1216,
-272
],
"parameters": {
"color": 7,
"width": 300,
"height": 240,
"content": "## 3. 提取和处理数据"
},
"typeVersion": 1
},
{
"id": "a8e7ae83-5256-4371-843e-4cf2fb77d225",
"name": "便签 4",
"type": "n8n-nodes-base.stickyNote",
"position": [
-32,
-304
],
"parameters": {
"color": 7,
"width": 300,
"height": 252,
"content": "## 4. AI 内容分析"
},
"typeVersion": 1
},
{
"id": "7450d75f-0338-4cda-a758-a8a2a77fe3f5",
"name": "便签 5",
"type": "n8n-nodes-base.stickyNote",
"position": [
608,
656
],
"parameters": {
"color": 7,
"width": 440,
"height": 180,
"content": "## 5. 存储处理后的帖子"
},
"typeVersion": 1
},
{
"id": "18dac769-c403-4504-ba4e-09b8da226d31",
"name": "便签6",
"type": "n8n-nodes-base.stickyNote",
"position": [
-2048,
880
],
"parameters": {
"color": 3,
"width": 460,
"height": 260,
"content": "### ⚠️ 设置要求！"
},
"typeVersion": 1
}
],
"pinData": {},
"connections": {
"If": {
"main": [
[
{
"node": "Extract Info",
"type": "main",
"index": 0
}
],
[
{
"node": "No Operation, do nothing",
"type": "main",
"index": 0
}
]
]
},
"If2": {
"main": [
[
{
"node": "Formatting",
"type": "main",
"index": 0
}
],
[
{
"node": "No Operation, do nothing3",
"type": "main",
"index": 0
}
]
]
},
"Wait": {
"main": [
[
{
"node": "Get Daily LinkedIn Post",
"type": "main",
"index": 0
}
]
]
},
"Formatting": {
"main": [
[
{
"node": "LinkedIn Digestion",
"type": "main",
"index": 0
}
]
]
},
"Daily Check": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"Lookup Post": {
"main": [
[
{
"node": "Check if post exist?",
"type": "main",
"index": 0
}
]
]
},
"Extract Info": {
"main": [
[
{
"node": "Clean Profile Data1",
"type": "main",
"index": 0
}
]
]
},
"Random Delay": {
"main": [
[
{
"node": "Wait",
"type": "main",
"index": 0
}
]
]
},
"Loop Over Items": {
"main": [
[
{
"node": "No Operation, do nothing2",
"type": "main",
"index": 0
}
],
[
{
"node": "Random Delay",
"type": "main",
"index": 0
}
]
]
},
"Create Digestion": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"Schedule Trigger": {
"main": [
[
{
"node": "Set Date Variables",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "LinkedIn Digestion",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"LinkedIn Digestion": {
"main": [
[
{
"node": "Lookup Post",
"type": "main",
"index": 0
}
]
]
},
"Set Date Variables": {
"main": [
[
{
"node": "Daily Check",
"type": "main",
"index": 0
}
]
]
},
"Clean Profile Data1": {
"main": [
[
{
"node": "Lookup CB Community",
"type": "main",
"index": 0
}
]
]
},
"Lookup CB Community": {
"main": [
[
{
"node": "If2",
"type": "main",
"index": 0
}
]
]
},
"Check if post exist?": {
"main": [
[
{
"node": "No Operation, do nothing1",
"type": "main",
"index": 0
}
],
[
{
"node": "Create Digestion",
"type": "main",
"index": 0
}
]
]
},
"Get Daily LinkedIn Post": {
"main": [
[
{
"node": "If",
"type": "main",
"index": 0
}
]
]
},
"No Operation, do nothing": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"Structured Output Parser": {
"ai_outputParser": [
[
{
"node": "LinkedIn Digestion",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"No Operation, do nothing1": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"No Operation, do nothing3": {
"main": [
[
{
"node": "Loop Over Items",
"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。
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