使用AI监控股市：新闻分析与多渠道警报
高级
这是一个Ticket Management、AI Summarization领域的自动化工作流，包含 31 个节点。主要使用 Code、Merge、Slack、OpenAi、Switch 等节点。 使用AI监控股市：新闻分析与通过Slack和Telegram的多渠道警报
前置要求
- •Slack Bot Token 或 Webhook URL
- •OpenAI API Key
- •Airtable API Key
- •Telegram Bot Token
- •Google Sheets API 凭证
使用的节点 (31 个)
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": "db30e8ae4100235addbd4638770997b7ef11878d049073c888ba440ca84c55fc",
"templateCredsSetupCompleted": true
},
"nodes": [
{
"id": "bba1c8da-0573-48b8-8d4a-4ec5b9fd4b26",
"name": "每15分钟",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
-624,
48
],
"parameters": {
"rule": {
"interval": [
{
"field": "minutes",
"minutesInterval": 15
}
]
}
},
"typeVersion": 1.2
},
{
"id": "cb1c8499-9a64-428b-822d-d64ee3b71f6b",
"name": "Bloomberg 市场资讯",
"type": "n8n-nodes-base.rssFeedRead",
"position": [
-288,
-128
],
"parameters": {
"url": "https://feeds.bloomberg.com/markets/news.rss",
"options": {}
},
"typeVersion": 1.2
},
{
"id": "3c790b7e-63ed-4636-90c7-27b63b6c4b16",
"name": "CNBC 突发新闻",
"type": "n8n-nodes-base.rssFeedRead",
"position": [
-288,
48
],
"parameters": {
"url": "https://www.cnbc.com/id/100003114/device/rss/rss.html",
"options": {}
},
"typeVersion": 1.2
},
{
"id": "e6ffacb5-0fd4-43d2-9e92-65fb0479c0e4",
"name": "路透社商业新闻",
"type": "n8n-nodes-base.rssFeedRead",
"position": [
-288,
224
],
"parameters": {
"url": "https://feeds.reuters.com/reuters/businessNews",
"options": {}
},
"typeVersion": 1.2
},
{
"id": "279a49ac-4be5-405b-8bfd-edef40e1d6ec",
"name": "聚合新闻源",
"type": "n8n-nodes-base.merge",
"position": [
-32,
48
],
"parameters": {
"mode": "combine",
"options": {}
},
"typeVersion": 3
},
{
"id": "27ed15f2-8487-4726-8d39-50b96b1bb376",
"name": "过滤和提取信号",
"type": "n8n-nodes-base.code",
"position": [
224,
48
],
"parameters": {
"jsCode": "const items = $input.all();\nconst now = new Date();\nconst oneHourAgo = new Date(now - 60 * 60 * 1000);\n\n// Filter recent articles and extract keywords\nconst filtered = items\n .filter(item => {\n const pubDate = new Date(item.json.pubDate || item.json.isoDate);\n return pubDate > oneHourAgo;\n })\n .map(item => ({\n json: {\n title: item.json.title,\n link: item.json.link,\n pubDate: item.json.pubDate || item.json.isoDate,\n content: item.json.contentSnippet || item.json.content || '',\n source: item.json.link.includes('bloomberg') ? 'Bloomberg' : \n item.json.link.includes('cnbc') ? 'CNBC' : 'Reuters',\n \n // Extract potential stock tickers and keywords\n tickers: extractTickers(item.json.title + ' ' + (item.json.contentSnippet || '')),\n keywords: extractKeywords(item.json.title + ' ' + (item.json.contentSnippet || ''))\n }\n }));\n\nfunction extractTickers(text) {\n const tickerPattern = /\\b[A-Z]{1,5}\\b/g;\n const matches = text.match(tickerPattern) || [];\n return [...new Set(matches)].filter(t => t.length >= 2).slice(0, 5);\n}\n\nfunction extractKeywords(text) {\n const keywords = ['earnings', 'acquisition', 'merger', 'bankruptcy', 'profit', 'loss', \n 'revenue', 'growth', 'decline', 'surge', 'plunge', 'rally', 'crash',\n 'innovation', 'AI', 'crypto', 'Fed', 'interest', 'inflation'];\n return keywords.filter(k => text.toLowerCase().includes(k.toLowerCase()));\n}\n\nreturn filtered;"
},
"typeVersion": 2
},
{
"id": "7c96b18c-e5bb-4739-9b9c-2ce34a6341b0",
"name": "AI 情感分析",
"type": "n8n-nodes-base.openAi",
"position": [
464,
-96
],
"parameters": {
"prompt": {
"messages": [
{
"role": "system",
"content": "You are a financial analyst AI. Analyze news articles and provide: 1) Market Sentiment (Bullish/Neutral/Bearish/Crisis), 2) Impact Level (Low/Medium/High/Critical), 3) Affected Sectors (list), 4) Trading Signal (Strong Buy/Buy/Hold/Sell/Strong Sell), 5) Confidence Score (0-100), 6) Key Catalyst (brief explanation), 7) Risk Factors. Return as JSON only."
},
{
"content": "Article: {{ $json.title }}\n\nContent: {{ $json.content }}\n\nSource: {{ $json.source }}\nDetected Tickers: {{ $json.tickers.join(', ') }}\nKeywords: {{ $json.keywords.join(', ') }}"
}
]
},
"options": {
"maxTokens": 800,
"temperature": 0.2
},
"resource": "chat",
"requestOptions": {}
},
"typeVersion": 1.1
},
{
"id": "28a0f4d8-eb77-4974-aa81-6d0052ef4b7c",
"name": "获取股票数据",
"type": "n8n-nodes-base.code",
"position": [
464,
240
],
"parameters": {
"jsCode": "// Fetch stock data from Yahoo Finance API\nconst ticker = $input.first().json.tickers[0] || 'SPY';\nconst url = `https://query1.finance.yahoo.com/v8/finance/chart/${ticker}?interval=1d&range=5d`;\n\ntry {\n const response = await fetch(url, {\n method: 'GET',\n headers: {\n 'User-Agent': 'Mozilla/5.0'\n }\n });\n \n if (!response.ok) {\n // If API fails, return mock data to keep workflow running\n return {\n json: {\n chart: {\n result: [{\n indicators: {\n quote: [{\n close: [100, 101, 102, 103, 104],\n volume: [1000000, 1100000, 1050000, 1200000, 1150000]\n }]\n }\n }]\n }\n }\n };\n }\n \n const data = await response.json();\n return { json: data };\n \n} catch (error) {\n // Fallback with mock data if fetch fails\n return {\n json: {\n chart: {\n result: [{\n indicators: {\n quote: [{\n close: [100, 101, 102, 103, 104],\n volume: [1000000, 1100000, 1050000, 1200000, 1150000]\n }]\n }\n }]\n },\n error: error.message\n }\n };\n}"
},
"typeVersion": 2
},
{
"id": "948371be-eb9a-4bc3-8e09-ad113eb95f92",
"name": "合成情报报告",
"type": "n8n-nodes-base.code",
"position": [
720,
48
],
"parameters": {
"jsCode": "const newsData = $('Filter & Extract Signals').first().json;\nconst aiAnalysis = JSON.parse($('AI Sentiment Analysis').first().json.choices[0].message.content);\nconst stockData = $input.first().json;\n\n// Calculate technical indicators\nconst prices = stockData?.chart?.result?.[0]?.indicators?.quote?.[0]?.close || [];\nconst volumes = stockData?.chart?.result?.[0]?.indicators?.quote?.[0]?.volume || [];\n\nconst latestPrice = prices[prices.length - 1];\nconst previousPrice = prices[prices.length - 2];\nconst priceChange = latestPrice && previousPrice ? ((latestPrice - previousPrice) / previousPrice * 100).toFixed(2) : 0;\n\n// Simple Moving Average\nconst sma5 = prices.slice(-5).reduce((a, b) => a + b, 0) / 5;\nconst trend = latestPrice > sma5 ? 'Uptrend' : 'Downtrend';\n\n// Volume analysis\nconst avgVolume = volumes.reduce((a, b) => a + b, 0) / volumes.length;\nconst latestVolume = volumes[volumes.length - 1];\nconst volumeRatio = (latestVolume / avgVolume).toFixed(2);\n\nreturn {\n json: {\n timestamp: new Date().toISOString(),\n \n // News Data\n headline: newsData.title,\n source: newsData.source,\n link: newsData.link,\n tickers: newsData.tickers,\n keywords: newsData.keywords,\n \n // AI Analysis\n sentiment: aiAnalysis.market_sentiment || aiAnalysis.sentiment,\n impact: aiAnalysis.impact_level || aiAnalysis.impact,\n sectors: aiAnalysis.affected_sectors || [],\n signal: aiAnalysis.trading_signal || aiAnalysis.signal,\n confidence: aiAnalysis.confidence_score || 0,\n catalyst: aiAnalysis.key_catalyst || '',\n risks: aiAnalysis.risk_factors || '',\n \n // Technical Data\n ticker: newsData.tickers[0] || 'N/A',\n current_price: latestPrice,\n price_change_pct: priceChange,\n trend: trend,\n sma_5d: sma5.toFixed(2),\n volume_ratio: volumeRatio,\n \n // Composite Score\n composite_score: calculateCompositeScore(aiAnalysis, priceChange, volumeRatio),\n actionable: (aiAnalysis.confidence_score > 70 && Math.abs(priceChange) > 2) || \n aiAnalysis.impact_level === 'Critical'\n }\n};\n\nfunction calculateCompositeScore(ai, priceChange, volRatio) {\n const signalScores = {\n 'Strong Buy': 100, 'Buy': 75, 'Hold': 50, 'Sell': 25, 'Strong Sell': 0\n };\n const signalScore = signalScores[ai.trading_signal] || 50;\n const momentumScore = priceChange * 5; // Price change weight\n const volumeScore = volRatio > 1.5 ? 20 : 0; // Volume spike bonus\n const confidenceWeight = ai.confidence_score / 100;\n \n return Math.round((signalScore * confidenceWeight + momentumScore + volumeScore) * 0.85);\n}"
},
"typeVersion": 2
},
{
"id": "1c37bcc0-cb6b-4aa4-ad31-567a36071f93",
"name": "过滤可操作信号",
"type": "n8n-nodes-base.switch",
"position": [
976,
48
],
"parameters": {
"rules": {
"values": [
{
"conditions": {
"options": {
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "",
"rightValue": ""
}
]
}
}
]
},
"options": {}
},
"typeVersion": 3
},
{
"id": "4e938d32-00de-4ffd-976c-2f2bc5948c16",
"name": "发送交易警报",
"type": "n8n-nodes-base.slack",
"position": [
1216,
-128
],
"webhookId": "7683bf14-26c7-44b4-ba33-0170f7d95dd8",
"parameters": {
"text": "🚨 *MARKET SIGNAL DETECTED*\n\n*{{ $json.ticker }}* | {{ $json.signal }} Signal\n*Confidence:* {{ $json.confidence }}% | *Impact:* {{ $json.impact }}\n\n📰 *Headline:* {{ $json.headline }}\n*Source:* {{ $json.source }}\n\n📊 *Technical Analysis*\n• Price: ${{ $json.current_price }} ({{ $json.price_change_pct }}%)\n• Trend: {{ $json.trend }}\n• Volume Spike: {{ $json.volume_ratio }}x average\n\n🎯 *AI Analysis*\n• Sentiment: {{ $json.sentiment }}\n• Sectors: {{ $json.sectors.join(', ') }}\n• Catalyst: {{ $json.catalyst }}\n• Composite Score: {{ $json.composite_score }}/100\n\n⚠️ *Risks:* {{ $json.risks }}\n\n🔗 <{{ $json.link }}|Read Full Article>",
"otherOptions": {
"mrkdwn": true
},
"authentication": "oAuth2"
},
"typeVersion": 2.3
},
{
"id": "5bd4ef56-2dc2-4f4a-af96-3f7a34cdbaae",
"name": "移动通知",
"type": "n8n-nodes-base.telegram",
"position": [
1216,
240
],
"webhookId": "6f9fefd3-3aa6-4c75-a367-344db929d50d",
"parameters": {
"text": "🎯 *{{ $json.signal }}*\n\n*{{ $json.ticker }}* - ${{ $json.current_price }} ({{ $json.price_change_pct }}%)\n\n{{ $json.headline }}\n\nConfidence: {{ $json.confidence }}%\nComposite Score: {{ $json.composite_score }}\n\n{{ $json.link }}",
"chatId": "YOUR_TELEGRAM_CHAT_ID",
"additionalFields": {}
},
"typeVersion": 1.2
},
{
"id": "81a9974d-686d-4e1c-b205-2943f996a1f6",
"name": "记录信号数据库",
"type": "n8n-nodes-base.airtable",
"position": [
1472,
48
],
"parameters": {
"base": {
"__rl": true,
"mode": "id",
"value": "appMARKETINTEL001"
},
"table": {
"__rl": true,
"mode": "id",
"value": "tblSignals"
},
"columns": {
"value": {
"Link": "={{ $json.link }}",
"Risks": "={{ $json.risks }}",
"Trend": "={{ $json.trend }}",
"Impact": "={{ $json.impact }}",
"Signal": "={{ $json.signal }}",
"Source": "={{ $json.source }}",
"Ticker": "={{ $json.ticker }}",
"Sectors": "={{ $json.sectors.join(', ') }}",
"Catalyst": "={{ $json.catalyst }}",
"Headline": "={{ $json.headline }}",
"Sentiment": "={{ $json.sentiment }}",
"Timestamp": "={{ $json.timestamp }}",
"Actionable": "={{ $json.actionable }}",
"Confidence": "={{ $json.confidence }}",
"Price_Change": "={{ $json.price_change_pct }}",
"Volume_Ratio": "={{ $json.volume_ratio }}",
"Current_Price": "={{ $json.current_price }}",
"Composite_Score": "={{ $json.composite_score }}"
},
"mappingMode": "defineBelow"
},
"options": {},
"operation": "create"
},
"typeVersion": 2.1
},
{
"id": "8dc3c119-fa23-4e48-a780-a79f2a44537a",
"name": "跟踪性能日志",
"type": "n8n-nodes-base.googleSheets",
"position": [
1712,
48
],
"parameters": {
"columns": {
"value": {
"Date": "={{ $json.timestamp.split('T')[0] }}",
"Time": "={{ $json.timestamp.split('T')[1].split('.')[0] }}",
"Price": "={{ $json.current_price }}",
"Score": "={{ $json.composite_score }}",
"Change": "={{ $json.price_change_pct }}",
"Signal": "={{ $json.signal }}",
"Source": "={{ $json.source }}",
"Ticker": "={{ $json.ticker }}",
"Sentiment": "={{ $json.sentiment }}",
"Confidence": "={{ $json.confidence }}"
},
"mappingMode": "defineBelow"
},
"options": {},
"operation": "append",
"sheetName": {
"__rl": true,
"mode": "id",
"value": "gid=0"
},
"documentId": {
"__rl": true,
"mode": "id",
"value": "1MARKET_INTELLIGENCE_SHEET_ID"
}
},
"typeVersion": 4.7
},
{
"id": "74d91e79-8bea-4de4-862b-342009e364fa",
"name": "生成交易策略",
"type": "n8n-nodes-base.openAi",
"position": [
1968,
48
],
"parameters": {
"prompt": {
"messages": [
{
"role": "system",
"content": "You are a portfolio strategist. Based on the trading signal and market conditions, provide: 1) Position sizing recommendation (% of portfolio), 2) Entry strategy (market/limit/staged), 3) Stop loss level, 4) Take profit targets, 5) Time horizon. Return as JSON."
},
{
"content": "Signal: {{ $json.signal }}\nTicker: {{ $json.ticker }}\nPrice: ${{ $json.current_price }}\nConfidence: {{ $json.confidence }}%\nVolatility: {{ $json.price_change_pct }}%\nSentiment: {{ $json.sentiment }}\nRisks: {{ $json.risks }}"
}
]
},
"options": {
"maxTokens": 600,
"temperature": 0.4
},
"resource": "chat",
"requestOptions": {}
},
"typeVersion": 1.1
},
{
"id": "631bf7c1-f310-47a9-ad21-c64d377aa359",
"name": "存储交易计划",
"type": "n8n-nodes-base.airtable",
"position": [
2224,
48
],
"parameters": {
"base": {
"__rl": true,
"mode": "id",
"value": "appMARKETINTEL001"
},
"table": {
"__rl": true,
"mode": "id",
"value": "tblSignals"
},
"columns": {
"value": {
"Record_ID": "={{ $('Log Signal Database').item.json.id }}",
"Trading_Strategy": "={{ JSON.stringify(JSON.parse($json.choices[0].message.content)) }}"
},
"mappingMode": "defineBelow"
},
"options": {},
"operation": "update"
},
"typeVersion": 2.1
},
{
"id": "ae0f76b7-7260-4583-a084-c54cc58a9ea0",
"name": "便签",
"type": "n8n-nodes-base.stickyNote",
"position": [
-656,
-64
],
"parameters": {
"width": 176,
"height": 96,
"content": "每15分钟自动触发工作流。"
},
"typeVersion": 1
},
{
"id": "5bb5dbb8-27e6-4069-be92-abdf9278600d",
"name": "便签1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-320,
-240
],
"parameters": {
"width": 176,
"height": 96,
"content": "通过 RSS 获取最新市场新闻。"
},
"typeVersion": 1
},
{
"id": "d679ce10-9a8c-4236-941f-49b0be6c4d92",
"name": "便签2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-64,
-64
],
"parameters": {
"width": 176,
"height": 96,
"content": "将所有获取的 RSS 源合并为一个流。"
},
"typeVersion": 1
},
{
"id": "16b60dfb-0068-4a59-9828-2908d456ee75",
"name": "便签3",
"type": "n8n-nodes-base.stickyNote",
"position": [
192,
-64
],
"parameters": {
"width": 176,
"height": 96,
"content": "过滤近期新闻，提取股票代码和关键词。"
},
"typeVersion": 1
},
{
"id": "d520509e-3f0d-49de-953c-b828c49042d5",
"name": "便签说明4",
"type": "n8n-nodes-base.stickyNote",
"position": [
432,
-208
],
"parameters": {
"width": 176,
"height": 96,
"content": "使用 AI 分析市场情绪和影响。"
},
"typeVersion": 1
},
{
"id": "bca74330-48fc-49da-8503-9aa91ef85c57",
"name": "便签说明5",
"type": "n8n-nodes-base.stickyNote",
"position": [
432,
384
],
"parameters": {
"width": 176,
"height": 96,
"content": "从 Yahoo Finance 拉取股票价格和交易量。"
},
"typeVersion": 1
},
{
"id": "929da30d-9159-4d8c-a7ae-b819eb2dc4dc",
"name": "便签 6",
"type": "n8n-nodes-base.stickyNote",
"position": [
688,
-64
],
"parameters": {
"width": 176,
"height": 96,
"content": "将 AI 和股票数据合并为洞察。"
},
"typeVersion": 1
},
{
"id": "569db511-28b4-4552-bc59-70bf2a7706ef",
"name": "便签 7",
"type": "n8n-nodes-base.stickyNote",
"position": [
944,
-64
],
"parameters": {
"width": 176,
"height": 96,
"content": "仅保留强信号或高置信度的交易信号。"
},
"typeVersion": 1
},
{
"id": "ee078f26-d8df-48b9-9589-545feda57844",
"name": "## 为什么选择 4o 模型？👆",
"type": "n8n-nodes-base.stickyNote",
"position": [
1168,
-240
],
"parameters": {
"width": 176,
"height": 96,
"content": "向 Slack 频道发送详细的交易警报。"
},
"typeVersion": 1
},
{
"id": "e5d5df96-20e1-4472-8852-d06a5a71316d",
"name": "便签 9",
"type": "n8n-nodes-base.stickyNote",
"position": [
1168,
400
],
"parameters": {
"width": 176,
"height": 96,
"content": "向 Telegram 移动应用发送精简的交易警报。"
},
"typeVersion": 1
},
{
"id": "31c50d0c-e788-49ca-a8c4-95107f4c79bf",
"name": "便签10",
"type": "n8n-nodes-base.stickyNote",
"position": [
1440,
-64
],
"parameters": {
"width": 176,
"height": 96,
"content": "将分析后的信号存储到 Airtable 数据库。"
},
"typeVersion": 1
},
{
"id": "545bcd58-562a-495d-8777-215cf8a749c9",
"name": "便签11",
"type": "n8n-nodes-base.stickyNote",
"position": [
1680,
-64
],
"parameters": {
"width": 176,
"height": 96,
"content": "将每笔交易的数据记录到 Google Sheets。"
},
"typeVersion": 1
},
{
"id": "14ed3ab8-de50-4098-81fb-43a54d3ea1d4",
"name": "便签12",
"type": "n8n-nodes-base.stickyNote",
"position": [
1936,
-64
],
"parameters": {
"width": 176,
"height": 96,
"content": "创建包含入场和出场计划的 AI 驱动策略。"
},
"typeVersion": 1
},
{
"id": "c470e944-df2b-4483-b274-07a8c054c70e",
"name": "便签13",
"type": "n8n-nodes-base.stickyNote",
"position": [
2192,
-64
],
"parameters": {
"width": 176,
"height": 96,
"content": "使用完整的交易策略 JSON 更新 Airtable 记录。"
},
"typeVersion": 1
},
{
"id": "8fe136bc-dbbc-4e6d-a8a7-c8adb6dee954",
"name": "便签 14",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1328,
-192
],
"parameters": {
"width": 608,
"height": 496,
"content": "# 🧠 AI 驱动的市场情报和交易信号工作流"
},
"typeVersion": 1
}
],
"pinData": {},
"connections": {
"Every 15 Minutes": {
"main": [
[
{
"node": "Bloomberg Markets Feed",
"type": "main",
"index": 0
},
{
"node": "CNBC Breaking News",
"type": "main",
"index": 0
},
{
"node": "Reuters Business",
"type": "main",
"index": 0
}
]
]
},
"Fetch Stock Data": {
"main": [
[
{
"node": "Synthesize Intelligence Report",
"type": "main",
"index": 0
}
]
]
},
"CNBC Breaking News": {
"main": [
[
{
"node": "Aggregate News Sources",
"type": "main",
"index": 1
}
]
]
},
"Send Trading Alert": {
"main": [
[
{
"node": "Log Signal Database",
"type": "main",
"index": 0
}
]
]
},
"Log Signal Database": {
"main": [
[
{
"node": "Track Performance Log",
"type": "main",
"index": 0
}
]
]
},
"Mobile Notification": {
"main": [
[
{
"node": "Log Signal Database",
"type": "main",
"index": 0
}
]
]
},
"AI Sentiment Analysis": {
"main": [
[
{
"node": "Synthesize Intelligence Report",
"type": "main",
"index": 0
}
]
]
},
"Track Performance Log": {
"main": [
[
{
"node": "Generate Trading Strategy",
"type": "main",
"index": 0
}
]
]
},
"Aggregate News Sources": {
"main": [
[
{
"node": "Filter & Extract Signals",
"type": "main",
"index": 0
}
]
]
},
"Bloomberg Markets Feed": {
"main": [
[
{
"node": "Aggregate News Sources",
"type": "main",
"index": 0
}
]
]
},
"Filter & Extract Signals": {
"main": [
[
{
"node": "AI Sentiment Analysis",
"type": "main",
"index": 0
},
{
"node": "Fetch Stock Data",
"type": "main",
"index": 0
}
]
]
},
"Filter Actionable Signals": {
"main": [
[
{
"node": "Send Trading Alert",
"type": "main",
"index": 0
},
{
"node": "Mobile Notification",
"type": "main",
"index": 0
}
]
]
},
"Generate Trading Strategy": {
"main": [
[
{
"node": "Store Trading Plan",
"type": "main",
"index": 0
}
]
]
},
"Synthesize Intelligence Report": {
"main": [
[
{
"node": "Filter Actionable Signals",
"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？
这是一个高级难度的工作流，适用于Ticket Management、AI Summarization等场景。适合高级用户，包含 16+ 个节点的复杂工作流
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31
分类2
节点类型11
作者
Daniel Shashko
@tomaxAI automation specialist and a marketing enthusiast. More than 6 years of experience in SEO/GEO. Senior SEO at Bright Data.
外部链接
在 n8n.io 上查看 →
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