LinkedIn潜在客户个性化（Google Drive、Apify与AI）
高级
这是一个Content Creation, Multimodal AI领域的自动化工作流，包含 25 个节点。主要使用 If, Set, Code, DateTime, Telegram 等节点。 LinkedIn潜在客户个性化（Google Drive、Apify与AI）
前置要求
- •Telegram Bot Token
- •Google Drive API 凭证
- •可能需要目标 API 的认证凭证
- •Google Sheets API 凭证
- •OpenAI API Key
- •Anthropic API Key
使用的节点 (25)
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": "0862f70dc42e115052f6a2d4c2b6537665b4361a614cec7cd17d1c45c8868621",
"templateCredsSetupCompleted": true
},
"nodes": [
{
"id": "7452bd6f-2ff8-45bf-a617-6471f97b94ab",
"name": "Anthropic Chat Model1",
"type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
"position": [
1360,
1008
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "claude-sonnet-4-20250514",
"cachedResultName": "Claude Sonnet 4"
},
"options": {
"temperature": 0.7
}
},
"credentials": {
"anthropicApi": {
"id": "LS0BBfEu5Na7rs9Z",
"name": "Anthropic_mariela"
}
},
"typeVersion": 1.3
},
{
"id": "827ba763-e599-4f7b-aed0-6e55961dd76f",
"name": "便签 10",
"type": "n8n-nodes-base.stickyNote",
"position": [
1328,
784
],
"parameters": {
"color": 3,
"width": 420,
"height": 340,
"content": "## 基于 LinkedIn 个人档案的个性化处理"
},
"typeVersion": 1
},
{
"id": "4688d3a9-8f3d-4433-9a81-6aa74ee4468f",
"name": "循环结束",
"type": "n8n-nodes-base.code",
"position": [
48,
128
],
"parameters": {
"jsCode": "// Get items from previous nodes\nconst items = $input.all();\n\n// Create a message for Telegram\nlet message = \"📊 *Lead Enrichment Results:*\\n\\n\";\n\n// Add Google Sheet information using the provided syntax\nconst sheetName = $('Google Drive Trigger1').first().json.name;\nconst sheetUrl = $('Google Drive Trigger1').first().json.webViewLink;\n\n// Add sheet name and URL to message\nmessage += `*Sheet Name:* ${sheetName}\\n`;\nmessage += `*URL:* ${sheetUrl}\\n\\n`;\n\n// Process all items\nitems.forEach((item, index) => {\n \n // Check if item has json data\n if (item.json) {\n // Add score and status if available\n if (item.json.score) message += `*Score:* ${item.json.score}\\n`;\n if (item.json.status) message += `*Status:* ${item.json.status}\\n`;\n }\n \n message += \"\\n\";\n});\n\n// Log for debugging\nconsole.log(\"Message prepared:\", message);\n\n// Return the message to be sent to Telegram\nreturn [{ json: { message } }];"
},
"typeVersion": 2
},
{
"id": "cb164d0f-899c-4279-9ba8-d41af5fca8bb",
"name": "便签",
"type": "n8n-nodes-base.stickyNote",
"position": [
1888,
368
],
"parameters": {
"color": 5,
"width": 420,
"height": 360,
"content": "## 更新 Google Sheets"
},
"typeVersion": 1
},
{
"id": "f1a71d1e-cccc-4420-8394-6f8799c463db",
"name": "潜在客户数据丰富化已完成",
"type": "n8n-nodes-base.telegram",
"position": [
272,
128
],
"webhookId": "926455ab-cd7e-4cde-99f0-b1e160ac3be6",
"parameters": {
"text": "={{ $json.message }}",
"chatId": "[put your Telegram Bot Chat ID here]",
"additionalFields": {}
},
"credentials": {
"telegramApi": {
"id": "xgqzwFjcXCMustjr",
"name": "Telegram_MarinextAI"
}
},
"typeVersion": 1.2
},
{
"id": "d5cc7599-1aa1-491e-ae20-086c15c752e2",
"name": "便签3",
"type": "n8n-nodes-base.stickyNote",
"position": [
0,
0
],
"parameters": {
"color": 7,
"width": 420,
"height": 360,
"content": "## 发送消息至 Telegram 机器人"
},
"typeVersion": 1
},
{
"id": "926d15a6-d8e6-451b-a234-ac709b1e0423",
"name": "个性化处理",
"type": "n8n-nodes-base.set",
"position": [
1968,
480
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "a9fff8dc-60fe-4f51-84c1-9b942deeb3a7",
"name": "personalization",
"type": "string",
"value": "={{ $json.output }}"
},
{
"id": "bc443ef4-6be5-4f90-93bc-c4c8ee3502db",
"name": "sheetId",
"type": "string",
"value": "={{ $('Google Drive Trigger1').first().json.id }}"
},
{
"id": "557dc3cb-f021-4d93-94b4-bc3f47760ce8",
"name": "FileName",
"type": "string",
"value": "={{ $('Google Drive Trigger1').first().json.name }}"
},
{
"id": "ce35648a-c08b-4f22-b825-adb077faa8fe",
"name": "SheetName",
"type": "string",
"value": "="
}
]
}
},
"typeVersion": 3.4
},
{
"id": "f605f00d-d973-4919-859d-7475fb81662f",
"name": "收集 LinkedIn 数据",
"type": "n8n-nodes-base.httpRequest",
"position": [
1104,
864
],
"parameters": {
"url": "https://api.apify.com/v2/acts/dev_fusion~linkedin-profile-scraper/run-sync-get-dataset-items?token=[put your token here]",
"method": "POST",
"options": {},
"jsonBody": "={\n \"profileUrls\": [\"{{ $('Loop Over Items1').item.json.linkedinUrl }}\"]\n}",
"sendBody": true,
"sendHeaders": true,
"specifyBody": "json",
"headerParameters": {
"parameters": [
{
"name": "Content-Type",
"value": "application/json"
},
{
"name": "Accept",
"value": "application/json"
},
{
"name": "Authorization",
"value": "Bearer [put your token here]"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "1b80dfc6-a55c-4ca9-a19d-7c97ba84f051",
"name": "AI Agent1",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
1328,
368
],
"parameters": {
"text": "=I need to create a personalized outreach message for a prospect. Please use this recent LinkedIn post from their profile and generate a single personalized sentence I can use in my outreach email.\n\nLinkedIn Post:\n{{ $('Scrape LinkedIn Profile Post').item.json.text }}\n\nContext: I own an AI automation agency focused on building Lead Generation Outreach and Lead Enrichment Systems. I'm reaching out to this person because their work appears relevant to our services.\n\nGenerate a single personalized sentence that references their LinkedIn activity in a natural, non-intrusive way that I can include in my outreach email. ",
"options": {
"systemMessage": "You are a LinkedIn Post Analyzer specialized in creating personalized outreach sentences. Your purpose is to examine the most recent LinkedIn posts from a prospect's profile and generate a single, authentic engagement sentence that can be used in cold email outreach.\n\nTASK:\n1. Use the most recent LinkedIn post provided in the user prompt.\n2. From the selected post, craft ONE personalized sentence (25-30 words maximum) that:\n - References specific content from the post without appearing stalkerish\n - Creates a genuine connection based on the post's content\n - Uses conversational language that sounds natural in an email\n - Avoids generic compliments or obvious flattery\n - Maintains a professional tone while being personable\n\nIMPORTANT: Your output must ONLY contain the single personalized sentence with no labels or prefixes. Do not include \"Personalized Sentence:\" or any other text before your response. Do not include greetings, introductions, or closings. Focus solely on creating a natural reference to their LinkedIn post that demonstrates genuine interest in their professional perspective.\n\nThe output will be inserted directly into a CRM system with no human review, so it must be ready to use without any additional formatting or labels."
},
"promptType": "define"
},
"typeVersion": 1.8
},
{
"id": "2b9bb8f4-0ec5-4712-a181-2eab3c3f50e0",
"name": "Anthropic Chat Model3",
"type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
"position": [
1328,
528
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "claude-sonnet-4-20250514",
"cachedResultName": "Claude Sonnet 4"
},
"options": {}
},
"credentials": {
"anthropicApi": {
"id": "LS0BBfEu5Na7rs9Z",
"name": "Anthropic_mariela"
}
},
"typeVersion": 1.3
},
{
"id": "5a811cc3-b9f4-47a4-b2ad-a94aa0ffd50a",
"name": "抓取 LinkedIn 个人档案帖子",
"type": "n8n-nodes-base.httpRequest",
"position": [
128,
528
],
"parameters": {
"url": "https://api.apify.com/v2/acts/apimaestro~linkedin-profile-posts/run-sync-get-dataset-items?token=[put your token here]",
"method": "POST",
"options": {},
"jsonBody": "={\n \"limit\": 1,\n \"username\": \"{{ $json.linkedinUrl }}\"\n}",
"sendBody": true,
"sendHeaders": true,
"specifyBody": "json",
"headerParameters": {
"parameters": [
{
"name": "Content-Type",
"value": "application/json"
},
{
"name": "Accept",
"value": "application/json"
},
{
"name": "Authorization",
"value": "Bearer [put your token here]"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "ccaa40f8-f471-4f6b-9cae-3a6a4383282a",
"name": "循环遍历项目1",
"type": "n8n-nodes-base.splitInBatches",
"position": [
-96,
512
],
"parameters": {
"options": {}
},
"typeVersion": 3
},
{
"id": "db8d44e4-a0ce-4db2-b660-62043fc06101",
"name": "Google Drive Trigger1",
"type": "n8n-nodes-base.googleDriveTrigger",
"position": [
-1008,
512
],
"parameters": {
"event": "fileCreated",
"options": {},
"pollTimes": {
"item": [
{
"mode": "everyMinute"
}
]
},
"triggerOn": "specificFolder",
"folderToWatch": {
"__rl": true,
"mode": "list",
"value": "1-b1yzCQA8RzQmG4vOaGKzYY8iZQxKpvf",
"cachedResultUrl": "https://drive.google.com/drive/folders/1-b1yzCQA8RzQmG4vOaGKzYY8iZQxKpvf",
"cachedResultName": "Clean Leads_Enrichment"
}
},
"credentials": {
"googleDriveOAuth2Api": {
"id": "JMOSxEuHpRTROOex",
"name": "Google_marinextai"
}
},
"typeVersion": 1
},
{
"id": "0fe1577c-db15-4973-968c-e8c9a5cf244b",
"name": "Google Drive_DownLoad1",
"type": "n8n-nodes-base.googleDrive",
"position": [
-800,
512
],
"parameters": {
"fileId": {
"__rl": true,
"mode": "id",
"value": "={{ $json.id }}"
},
"options": {},
"operation": "download"
},
"credentials": {
"googleDriveOAuth2Api": {
"id": "JMOSxEuHpRTROOex",
"name": "Google_marinextai"
}
},
"typeVersion": 3
},
{
"id": "b20613a4-b475-4a1d-b146-723816431def",
"name": "OpenAI",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
544,
528
],
"parameters": {
"modelId": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1-mini",
"cachedResultName": "GPT-4.1-MINI"
},
"options": {},
"messages": {
"values": [
{
"role": "system",
"content": "You are a LinkedIn Post Analyzer that determines if a profile has posts from the current year. Your sole purpose is to examine LinkedIn post data and determine if there are any posts from 2025.\nTASK:\nAnalyze the provided LinkedIn profile post data and determine:\n\nIf the profile has ANY posts\nIf any posts are from the current year (2025)\n\nOUTPUT FORMAT:\nYou must respond with EXACTLY ONE of these values:\n\n\"true\" - If there is at least one post from 2025\n\"false\" - If there are no posts from 2025\n\nDo not include any explanations, reasoning, or additional text - ONLY return \"true\" or \"false\" based on your analysis."
},
{
"content": "=Examine the following LinkedIn profile data and determine if there are any posts from the current year - 2025.\nLinkedIn Profile Data:\n\nPost: {{ $('Scrape LinkedIn Profile Post').item.json.text }}\nDate: {{ $('Scrape LinkedIn Profile Post').item.json.posted_at.date }}\nCurrent Date: {{ $json.currentDate }}\n\nIf the data contains at least one post with a timestamp or date indicating it was posted in 2025, respond with only the word \"true\".\nIf the profile has no posts OR all posts are from years prior to 2025, respond with only the word \"false\".\nYour entire response must be ONLY \"true\" or \"false\" with no additional text."
}
]
},
"jsonOutput": true
},
"credentials": {
"openAiApi": {
"id": "OwpPpcltPaXyVklS",
"name": "OpenAi_Mariela.b.d."
}
},
"typeVersion": 1.8
},
{
"id": "45996741-f4a9-4d08-b48b-eeecce5e9614",
"name": "便签4",
"type": "n8n-nodes-base.stickyNote",
"position": [
464,
432
],
"parameters": {
"width": 420,
"height": 340,
"content": "## 判断 LinkedIn 个人档案是否有近期帖子"
},
"typeVersion": 1
},
{
"id": "7d1ce1ea-ef57-45a4-9593-96abc904ff05",
"name": "日期与时间",
"type": "n8n-nodes-base.dateTime",
"position": [
320,
528
],
"parameters": {
"options": {}
},
"typeVersion": 2
},
{
"id": "39a45d84-4d23-46fc-9226-37fd236dc807",
"name": "便签 11",
"type": "n8n-nodes-base.stickyNote",
"position": [
-160,
400
],
"parameters": {
"color": 4,
"width": 420,
"height": 360,
"content": "## 抓取 LinkedIn 近期帖子"
},
"typeVersion": 1
},
{
"id": "41c6ba1b-0147-4d9e-bb80-5e83ab30af4b",
"name": "如果 LinkedIn 帖子在最近30天内",
"type": "n8n-nodes-base.if",
"position": [
992,
528
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "345eb764-6267-4f0c-9147-07f827cf605b",
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.message.content.result }}",
"rightValue": "true"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "28798f9a-bd93-49f9-b8f9-54757c807ec6",
"name": "AI Agent_无LinkedIn帖子的个性化处理",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
1408,
864
],
"parameters": {
"text": "=Create ONE personalized, emotional opening sentence for a cold email to {{ $json.firstName }} {{ $json.lastName }} that will compel them to read further. Focus on our Lead Generation Sales System that saves time.\nOutput only the sentence, nothing else. \n",
"options": {
"systemMessage": "=You are a sales development expert crafting personalized cold email opening lines without website data.\n\nYour task is to create ONE compelling opening sentence for a cold email that will grab attention immediately. focus on:\n\n1. Using the name of the lead: {{ $json.firstName }}\n2. Using their headline: {{ $json.headline }}\n3. Using their LInkedIN about section: {{ $json.about }}\n4. Current company: {{ $json.experiences[0].subtitle }}\n5. Addressing a universal pain point related to lead generation that resonates with their likely business challenges\n6. Creating curiosity about our Lead Generation Sales System\n7. Mentioning a specific benefit (saving time, reducing costs, increasing conversion rates)\n8. Making it conversational and emotionally engaging (15-25 words maximum)\n\nOUR PRODUCT: We offer a Lead Generation Sales System that automates prospect qualification, outreach sequences and lead enrichment after booking. Key benefits include:\n- 60% reduction in time spent on manual prospecting\n- 40% lower customer acquisition costs\n- 3x higher quality leads through AI-powered targeting\n- Elimination of repetitive sales tasks\n\nTONE GUIDELINES:\n- Confident but not aggressive\n- Curious rather than presumptive\n- Focused on their potential gains, not their current problems\n- Conversational, as if from one professional to another\n\nEXAMPLES OF EXCELLENT OPENERS:\n- \"What if your sales team at [Company] could focus exclusively on closing while an automated system handles all prospecting, [First Name]?\"\n- \"The companies outperforming their competitors this quarter have one thing in common, [First Name]: they've eliminated manual lead generation entirely.\"\n- \"Imagine cutting your customer acquisition costs by 40% while simultaneously improving lead quality, [First Name] - that's what our system recently did for a company similar to [Company].\"\n- \"While researching innovative companies in the [derived industry] space, [Company]'s approach stood out as perfectly positioned to benefit from automated lead generation.\"\n\nRemember: ONE sentence only. Make it compelling enough that they WANT to read the next line of the email. "
},
"promptType": "define"
},
"typeVersion": 1.8
},
{
"id": "21ee9d5d-4cf7-4431-8beb-3958fbc8b039",
"name": "Google Sheets 解析",
"type": "n8n-nodes-base.spreadsheetFile",
"position": [
-608,
512
],
"parameters": {
"options": {
"headerRow": true
}
},
"typeVersion": 1
},
{
"id": "de275fe8-4798-4e48-9de0-f4d75576ea26",
"name": "便签12",
"type": "n8n-nodes-base.stickyNote",
"position": [
1232,
288
],
"parameters": {
"color": 4,
"width": 420,
"height": 340,
"content": "## 基于近期 LinkedIn 帖子的个性化处理"
},
"typeVersion": 1
},
{
"id": "4710c92f-74d3-49e5-abc7-ab7e5acae2d8",
"name": "代码1",
"type": "n8n-nodes-base.code",
"position": [
-384,
512
],
"parameters": {
"jsCode": "// Process all items from Google Sheet Parse\nconst items = $input.all();\n\n// Map the items to a more usable format\nconst processedItems = items.map(item => {\n return {\n json: {\n firstName: item.json['First Name'],\n lastName: item.json['Last Name'],\n company: item.json['Company Name for Emails'],\n linkedinUrl: item.json['Person Linkedin Url'],\n email: item.json['Email'],\n website: item.json['Website'],\n // Add any other fields you need from the sheet\n }\n };\n});\n\nreturn limitedItems;"
},
"typeVersion": 2
},
{
"id": "333b7a08-15fa-406f-8474-b222bffcc165",
"name": "使用个性化数据更新 Google Sheets",
"type": "n8n-nodes-base.googleSheets",
"position": [
2192,
480
],
"parameters": {
"columns": {
"value": {
"email": "={{ $('Code1').item.json.email }}",
"personalization": "={{ $json.personalization }}"
},
"schema": [
{
"id": "First Name",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "First Name",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Last Name",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Last Name",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Company Name for Emails",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Company Name for Emails",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Email",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Email",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Person Linkedin Url",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Person Linkedin Url",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Website",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Website",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "email",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "email",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "username",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "username",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "domain",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "domain",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "personalization",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "personalization",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "row_number",
"type": "string",
"display": true,
"removed": false,
"readOnly": true,
"required": false,
"displayName": "row_number",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"email"
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "update",
"sheetName": {
"__rl": true,
"mode": "name",
"value": "=Sheet1"
},
"documentId": {
"__rl": true,
"mode": "id",
"value": "={{ $json.sheetId }}"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "X2AWP2SzWWzqGSUt",
"name": "Google_marinextai"
}
},
"typeVersion": 4.5
},
{
"id": "77f46864-2f96-4d90-a315-e8b7c31bc249",
"name": "便签13",
"type": "n8n-nodes-base.stickyNote",
"position": [
992,
784
],
"parameters": {
"color": 4,
"width": 300,
"height": 280,
"content": "## 抓取 LinkedIn 个人档案"
},
"typeVersion": 1
}
],
"pinData": {},
"connections": {
"Code1": {
"main": [
[
{
"node": "Loop Over Items1",
"type": "main",
"index": 0
}
]
]
},
"OpenAI": {
"main": [
[
{
"node": "If the LN post is in the last 30 days",
"type": "main",
"index": 0
}
]
]
},
"AI Agent1": {
"main": [
[
{
"node": "Personalization",
"type": "main",
"index": 0
}
]
]
},
"Date & Time": {
"main": [
[
{
"node": "OpenAI",
"type": "main",
"index": 0
}
]
]
},
"End of Loops": {
"main": [
[
{
"node": "Lead Enrichment is ready",
"type": "main",
"index": 0
}
]
]
},
"Personalization": {
"main": [
[
{
"node": "Google Sheets Update with Personalization",
"type": "main",
"index": 0
}
]
]
},
"Loop Over Items1": {
"main": [
[
{
"node": "End of Loops",
"type": "main",
"index": 0
}
],
[
{
"node": "Scrape LinkedIn Profile Post",
"type": "main",
"index": 0
}
]
]
},
"Google Sheet Parse": {
"main": [
[
{
"node": "Code1",
"type": "main",
"index": 0
}
]
]
},
"Colect LinkedIn Data": {
"main": [
[
{
"node": "AI Agent_Personalization_no LN post",
"type": "main",
"index": 0
}
]
]
},
"Anthropic Chat Model1": {
"ai_languageModel": [
[
{
"node": "AI Agent_Personalization_no LN post",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Anthropic Chat Model3": {
"ai_languageModel": [
[
{
"node": "AI Agent1",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Google Drive Trigger1": {
"main": [
[
{
"node": "Google Drive_DownLoad1",
"type": "main",
"index": 0
}
]
]
},
"Google Drive_DownLoad1": {
"main": [
[
{
"node": "Google Sheet Parse",
"type": "main",
"index": 0
}
]
]
},
"Scrape LinkedIn Profile Post": {
"main": [
[
{
"node": "Date & Time",
"type": "main",
"index": 0
}
]
]
},
"AI Agent_Personalization_no LN post": {
"main": [
[
{
"node": "Personalization",
"type": "main",
"index": 0
}
]
]
},
"If the LN post is in the last 30 days": {
"main": [
[
{
"node": "AI Agent1",
"type": "main",
"index": 0
}
],
[
{
"node": "Colect LinkedIn Data",
"type": "main",
"index": 0
}
]
]
},
"Google Sheets Update with Personalization": {
"main": [
[
{
"node": "Loop Over Items1",
"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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工作流信息
难度等级
高级
节点数量25
分类2
节点类型15
作者
Mariela Slavenova
@marielabg🚀 Fractional Head of AI Ops | COO | CTO | I diagnose, fix & ship automations that pay for themselves | The Harden Method™ - Discover→Design→Build→Break→Harden→Launch→Monitor | Founder @ MarinextAI
外部链接
在 n8n.io 查看 →
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