自动化每日股市报告
高级
这是一个Content Creation, Multimodal AI领域的自动化工作流,包含 27 个节点。主要使用 Set, Wait, Switch, Airtable, SplitOut 等节点。 使用 Bright Data、GPT-4.1、Airtable 和 Gmail 的自动化每日股市报告
前置要求
- •Airtable API Key
- •Google 账号和 Gmail API 凭证
- •可能需要目标 API 的认证凭证
- •OpenAI API Key
使用的节点 (27)
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
{
"id": "dnw1cvGPaYS9dCog",
"meta": {
"instanceId": "18b0d04ad5030054be4ab49562e84ea4a079ab4cb036003697394140227c7e76",
"templateId": "5305",
"templateCredsSetupCompleted": true
},
"name": "使用 Bright Data、GPT、Airtable 和 Gmail 的自动化每日股市报告",
"tags": [],
"nodes": [
{
"id": "0a0def72-9c6f-43fb-8db5-268da98f82dd",
"name": "简单记忆",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"position": [
3904,
656
],
"parameters": {},
"typeVersion": 1.3
},
{
"id": "e13cbed2-0837-4b4b-82b4-49c61510dff5",
"name": "OpenAI Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
3760,
656
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "eDzFw4LYXVKJQcfH",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
"id": "cf744498-62bf-4e6a-8570-dda7fea35fe5",
"name": "每日运行触发器",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
208,
576
],
"parameters": {
"rule": {
"interval": [
{}
]
}
},
"typeVersion": 1.2
},
{
"id": "d0ee4823-0536-415e-8fa9-861c1701665d",
"name": "设置股票列表",
"type": "n8n-nodes-base.set",
"position": [
528,
576
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "8d1bd0c8-37bf-4028-a20c-ac214ec06d7b",
"name": "json",
"type": "array",
"value": "=[\n {\n \"ticker\": \"SHEL\",\n \"name\": \"Shell plc\",\n \"market_cap\": \"≈ $250B\"\n },\n {\n \"ticker\": \"NESN.SW\",\n \"name\": \"Nestlé S.A.\",\n \"market_cap\": \"≈ $320B\"\n },\n {\n \"ticker\": \"SAP\",\n \"name\": \"SAP SE\",\n \"market_cap\": \"≈ $210B\"\n },\n {\n \"ticker\": \"ASML\",\n \"name\": \"ASML Holding N.V.\",\n \"market_cap\": \"≈ $470B\"\n },\n {\n \"ticker\": \"SONY\",\n \"name\": \"Sony Group Corporation\",\n \"market_cap\": \"≈ $110B\"\n },\n {\n \"ticker\": \"TCEHY\",\n \"name\": \"Tencent Holdings Ltd.\",\n \"market_cap\": \"≈ $420B\"\n },\n {\n \"ticker\": \"BABA\",\n \"name\": \"Alibaba Group Holding Ltd.\",\n \"market_cap\": \"≈ $190B\"\n },\n {\n \"ticker\": \"7203.T\",\n \"name\": \"Toyota Motor Corporation\",\n \"market_cap\": \"≈ $270B\"\n },\n {\n \"ticker\": \"RHHBY\",\n \"name\": \"Roche Holding AG\",\n \"market_cap\": \"≈ $210B\"\n },\n {\n \"ticker\": \"NFLX\",\n \"name\": \"Netflix Inc.\",\n \"market_cap\": \"≈ $260B\"\n }\n]\n"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "88b7e912-af0c-4527-baa3-4f8cf0b072d1",
"name": "拆分股票",
"type": "n8n-nodes-base.splitOut",
"position": [
816,
576
],
"parameters": {
"options": {},
"fieldToSplitOut": "json"
},
"typeVersion": 1
},
{
"id": "2aab292f-0287-4da6-86ee-83c5a9aee30a",
"name": "准备股票关键词",
"type": "n8n-nodes-base.set",
"position": [
1104,
576
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "8d9e80d9-16dd-4658-928f-d94735209bfd",
"name": "keyword",
"type": "string",
"value": "={{ $json.ticker }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "13f81727-f586-4fb6-be73-4880c9efd165",
"name": "Bright Data 爬虫",
"type": "n8n-nodes-base.httpRequest",
"position": [
1456,
576
],
"parameters": {
"url": "https://api.brightdata.com/datasets/v3/trigger",
"method": "POST",
"options": {},
"jsonBody": "={{ $('Prepare Stock Keyword').all().map(item => item.json)}}",
"sendBody": true,
"sendQuery": true,
"sendHeaders": true,
"specifyBody": "json",
"queryParameters": {
"parameters": [
{
"name": "dataset_id",
"value": "gd_lmrpz3vxmz972ghd7"
},
{
"name": "include_errors",
"value": "true"
},
{
"name": "type",
"value": "discover_new"
},
{
"name": "discover_by",
"value": "keyword"
}
]
},
"headerParameters": {
"parameters": [
{
"name": "Authorization",
"value": "=Bearer YOUR_BRIGHTDATA_API_KEY"
}
]
}
},
"executeOnce": true,
"typeVersion": 4.2
},
{
"id": "2cc8d35f-f255-4adc-b1d7-7f9ab34dde66",
"name": "检查爬虫进度",
"type": "n8n-nodes-base.httpRequest",
"position": [
1936,
576
],
"parameters": {
"url": "=https://api.brightdata.com/datasets/v3/progress/{{ $json.snapshot_id }}",
"options": {},
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "Authorization",
"value": "Bearer YOUR_BRIGHTDATA_API_KEY"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "eb6ab86c-3e8b-4dc6-8d70-3346531905fa",
"name": "爬虫状态切换",
"type": "n8n-nodes-base.switch",
"position": [
2368,
576
],
"parameters": {
"rules": {
"values": [
{
"outputKey": "ready",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "4712e222-2bad-4d91-be87-ab0e0693c0c6",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.status }}",
"rightValue": "ready"
}
]
},
"renameOutput": true
},
{
"outputKey": "running",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "9a473960-6ba5-4f1b-afc6-396348bd338d",
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.status }}",
"rightValue": "=running"
}
]
},
"renameOutput": true
}
]
},
"options": {}
},
"typeVersion": 3.2
},
{
"id": "e27afbc7-8cae-44b6-b506-474bb2692f08",
"name": "等待数据",
"type": "n8n-nodes-base.wait",
"position": [
2480,
1088
],
"webhookId": "cf27222d-20db-4ba5-bd4c-e6ca05efd4d7",
"parameters": {
"amount": 20
},
"typeVersion": 1.1
},
{
"id": "5e828381-8268-4114-b16c-a60c4ca23e80",
"name": "获取爬虫结果",
"type": "n8n-nodes-base.httpRequest",
"position": [
2848,
560
],
"parameters": {
"url": "=https://api.brightdata.com/datasets/v3/snapshot/{{ $json.snapshot_id }}",
"options": {},
"sendQuery": true,
"sendHeaders": true,
"queryParameters": {
"parameters": [
{
"name": "format",
"value": "json"
}
]
},
"headerParameters": {
"parameters": [
{
"name": "Authorization",
"value": "Bearer YOUR_BRIGHTDATA_API_KEY"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "4c2826ee-30bb-4438-a531-c370edbe2103",
"name": "聚合股票数据",
"type": "n8n-nodes-base.aggregate",
"position": [
3312,
560
],
"parameters": {
"options": {},
"aggregate": "aggregateAllItemData"
},
"typeVersion": 1
},
{
"id": "ef5165a4-0452-4b20-b2fa-994429f3bc5b",
"name": "生成每日摘要(AI)",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
3792,
416
],
"parameters": {
"text": "=## 🎯 ROLE\nYou are an **AI-powered financial analyst agent** integrated inside an n8n workflow. \nYour responsibilities are to: \n- Parse incoming JSON datasets of U.S. equities (typically top 10 by market cap). \n- Detect **market trends, anomalies, and investor-relevant signals** from the data. \n- Convert raw JSON into a **professionally written HTML email digest**, with clear structure, styling, and actionable insights. \n- Act as if you were a **senior analyst writing for institutional investors**, keeping the tone sharp, concise, and technical. \n- Output only **clean HTML content** ready for use inside an email body (no markdown, no plaintext, no metadata). \n\n---\n\n## 📥 INPUT FORMAT (JSON)\n\nYou will receive daily input structured like this:\n\n```\nThe day and date today is {{ $now.format('cccc yyyy-MM-dd t') }}\n\nHere is today’s stock market data: =\n\n{{ $json.data.toJsonString() }}\n```\n\nWhere each stock object may contain: \n- `ticker` → Stock symbol (e.g., AAPL, NVDA) \n- `name` → Company name (e.g., Apple Inc.) \n- `market_cap` → Market capitalization \n- `price` → Current price or last close price \n- `change` → Daily percentage change (can be positive or negative) \n- `sentiment` → Qualitative sentiment (optional: 🟢 Positive, 🟡 Neutral, 🔴 Negative) \n- `news` → Associated news snippets (optional) \n\n---\n\n## ✅ TASKS\n\n1. **Market Context** \n - Start with a headline summary of the day (general trend: bullish, bearish, or mixed). \n - Mention notable **macro events** or **sector-specific highlights** if derivable from input. \n\n2. **Top Movers** \n - Identify and highlight the **2 biggest gainers** and **2 biggest losers**. \n - Give context if available (based on percentage change or attached news). \n\n3. **Stock Data Table** \n - Generate a professional `<table>` with the following columns: \n - Ticker \n - Company Name \n - Daily % Change (with ↑/↓ and colored formatting) \n - Market Cap \n - Sentiment Icon (🟢 🟡 🔴) \n\n4. **Insights Section** \n - Provide **3–5 key takeaways**: \n - Example: “Tech continues outperforming with NVDA +X% and AAPL +Y%” \n - Highlight any **sector rotation, unusual volatility, or outlier performance**. \n - Mention if the **trend diverges** from broader market sentiment. \n\n5. **Upcoming Catalysts** \n - If `news` mentions future events (earnings calls, product launches, Fed meetings), list them in a dedicated section. \n - If no events are available, skip gracefully. \n\n6. **Professional Formatting** \n - Use inline CSS to ensure email compatibility. \n - Use clear hierarchy: \n - `<h2>` for main title (“Daily U.S. Stock Market Digest – {Date}”) \n - `<h3>` for sub-sections (e.g., “Top Gainers & Losers”, “Market Insights”, “Upcoming Events”) \n - `<ul>` for bullet point insights \n - `<table>` for stock performance data \n - Add color indicators for sentiment: \n - 🟢 Positive = green text \n - 🟡 Neutral = gold text \n - 🔴 Negative = red text \n\n---\n\n## ✨ OUTPUT FORMAT (HTML Only)\n\n- Produce **only** HTML, no markdown. \n- Must be **email-client safe**: \n - Inline styles only (no external CSS). \n - Avoid JavaScript or advanced CSS. \n- Structure example: \n\n```html\n<h2>Daily U.S. Stock Market Digest – Thursday 2025-09-18</h2>\n\n<h3>📈 Top Gainers & Losers</h3>\n<ul>\n <li>NVDA +4.2% 🟢 — driven by strong chip demand</li>\n <li>TSLA -3.1% 🔴 — impacted by regulatory concerns</li>\n</ul>\n\n<h3>📊 Market Overview</h3>\n<table style=\"border-collapse:collapse;width:100%;\">\n <tr style=\"background:#f2f2f2;\">\n <th>Ticker</th><th>Company</th><th>Change %</th><th>Market Cap</th><th>Sentiment</th>\n </tr>\n <tr>\n <td>NVDA</td><td>NVIDIA Corporation</td><td style=\"color:green;\">+4.2%</td><td>$3.6T</td><td>🟢</td>\n </tr>\n <tr>\n <td>TSLA</td><td>Tesla Inc.</td><td style=\"color:red;\">-3.1%</td><td>$830B</td><td>🔴</td>\n </tr>\n</table>\n\n<h3>💡 Key Insights</h3>\n<ul>\n <li>Tech leads with NVDA and MSFT posting strong gains.</li>\n <li>Healthcare sector showed weakness with JNJ down 2%.</li>\n <li>Overall sentiment remained mixed ahead of Fed decision.</li>\n</ul>\n\n<h3>📅 Upcoming Events</h3>\n<ul>\n <li>Fed interest rate decision — Sept 20</li>\n <li>Apple iPhone launch event — Sept 21</li>\n</ul>\n\n<footer style=\"margin-top:20px;font-size:12px;color:#888;\">\n Generated automatically by your AI-powered stock monitor.\n</footer>\n```\n\n---\n\n## ⚠️ CONSTRAINTS\n\n- Do **not** include email subject or headers. \n- Do **not** output explanations, reasoning, or markdown. \n- Always output **clean HTML only**. \n- Ensure the HTML is **ready-to-send** in an email body without manual edits. \n- If data is missing, skip the section gracefully without placeholders. \n\n---\n\n## 📬 GOAL\n\nDeliver a **polished, mobile-friendly, and insight-rich stock market digest email**. \nFinal output must require zero manual edits, look professional for finance users, and be directly usable in n8n’s Gmail/SMTP nodes. \n",
"options": {},
"promptType": "define"
},
"typeVersion": 2
},
{
"id": "3f953ffd-4faa-4cd5-bd3a-b3a6d021eebf",
"name": "通过 Gmail 发送报告",
"type": "n8n-nodes-base.gmailTool",
"position": [
4064,
624
],
"webhookId": "fe4a416a-43f3-4ad1-80c8-51f1de4c2343",
"parameters": {
"sendTo": "Baptiste.fort.pro@gmail.com",
"message": "={{ $('Generate Daily Summary (AI)').first().json.output }}",
"options": {
"appendAttribution": false
},
"subject": "=Daily Stock Market Digest "
},
"credentials": {
"gmailOAuth2": {
"id": "RpkU3PW6jAmCX8ih",
"name": "Gmail account"
}
},
"typeVersion": 2.1
},
{
"id": "ae4e0ac6-1afb-463a-a273-7dac2dc975e3",
"name": "保存到 Airtable(每日股票)",
"type": "n8n-nodes-base.airtable",
"position": [
2944,
-288
],
"parameters": {
"base": {
"__rl": true,
"mode": "list",
"value": "appqPdjbR45flhdgT",
"cachedResultUrl": "https://airtable.com/appqPdjbR45flhdgT",
"cachedResultName": "Untitled Base"
},
"table": {
"__rl": true,
"mode": "list",
"value": "tblvIkbZriGaCrfzP",
"cachedResultUrl": "https://airtable.com/appqPdjbR45flhdgT/tblvIkbZriGaCrfzP",
"cachedResultName": "Daily Stocks"
},
"columns": {
"value": {
"Price": "={{ $json.price }}",
"Ticker": "={{ $json.ticker }}",
"Company": "={{ $json.name }}",
"Change %": "={{ $json.change }}",
"Sentiment": "={{ $json.sentiment }}",
"Market Cap": "={{ $json.market_cap }}"
},
"schema": [
{
"id": "Ticker",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Ticker",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Company",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Company",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Market Cap",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Market Cap",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Price",
"type": "number",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Price",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Change %",
"type": "number",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Change %",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Sentiment",
"type": "options",
"display": true,
"options": [
{
"name": "🟢 Positive",
"value": "🟢 Positive"
},
{
"name": "🟡 Neutral",
"value": "🟡 Neutral"
},
{
"name": "🔴 Negative",
"value": "🔴 Negative"
}
],
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Sentiment",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Date",
"type": "dateTime",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Date",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "create"
},
"credentials": {
"airtableTokenApi": {
"id": "vKZ5Wl43rmNFe0My",
"name": "Airtable Personal Access Token account 3"
}
},
"typeVersion": 2.1
},
{
"id": "ae35f4c3-6d12-440e-9cf5-c465a7c7d3ee",
"name": "便签",
"type": "n8n-nodes-base.stickyNote",
"position": [
144,
160
],
"parameters": {
"color": 7,
"width": 288,
"height": 592,
"content": "## ⏰ 每日运行触发器(计划触发器)"
},
"typeVersion": 1
},
{
"id": "faa08484-c83e-49dd-bc8a-c29a0c9a95ce",
"name": "便签1",
"type": "n8n-nodes-base.stickyNote",
"position": [
432,
96
],
"parameters": {
"color": 6,
"width": 288,
"height": 656,
"content": "## 📝 设置股票列表(设置节点 – 示例数据)"
},
"typeVersion": 1
},
{
"id": "57ff48b7-fb7a-4c8e-b122-ff8878a46a97",
"name": "便签 2",
"type": "n8n-nodes-base.stickyNote",
"position": [
720,
208
],
"parameters": {
"color": 4,
"width": 288,
"height": 544,
"content": "## 🔀 拆分股票(拆分输出)"
},
"typeVersion": 1
},
{
"id": "04a19b0a-1d0f-4fc3-9b5a-a1dbe39daf8e",
"name": "便签 3",
"type": "n8n-nodes-base.stickyNote",
"position": [
1008,
160
],
"parameters": {
"color": 6,
"width": 288,
"height": 592,
"content": "## 🏷 准备股票关键词(设置节点)"
},
"typeVersion": 1
},
{
"id": "a24344d1-ef9c-4333-83b8-b8e1055667ed",
"name": "便签 4",
"type": "n8n-nodes-base.stickyNote",
"position": [
1296,
160
],
"parameters": {
"color": 2,
"width": 480,
"height": 592,
"content": "## 🕸 Bright Data 爬虫(HTTP 请求)"
},
"typeVersion": 1
},
{
"id": "608e6709-2b53-4b85-8a6f-04339d4f7029",
"name": "便签 5",
"type": "n8n-nodes-base.stickyNote",
"position": [
1776,
160
],
"parameters": {
"color": 4,
"width": 432,
"height": 592,
"content": "## 🔄 检查爬虫进度(HTTP 请求)"
},
"typeVersion": 1
},
{
"id": "8e82b0a8-1682-4b7f-b12d-a5569ac1e70a",
"name": "便签6",
"type": "n8n-nodes-base.stickyNote",
"position": [
2208,
752
],
"parameters": {
"color": 6,
"width": 432,
"height": 512,
"content": "## ⏳ 等待数据(等待节点)"
},
"typeVersion": 1
},
{
"id": "6350cebc-4794-49df-a637-a982ab96a7fe",
"name": "便签7",
"type": "n8n-nodes-base.stickyNote",
"position": [
2208,
160
],
"parameters": {
"color": 7,
"width": 432,
"height": 592,
"content": "## 🔀 爬虫状态切换(切换节点)"
},
"typeVersion": 1
},
{
"id": "93becc4b-e2ea-42e8-8eca-9e9e0f79d0c8",
"name": "便签8",
"type": "n8n-nodes-base.stickyNote",
"position": [
2640,
160
],
"parameters": {
"width": 512,
"height": 608,
"content": "## 📥 获取爬虫结果(HTTP 请求)"
},
"typeVersion": 1
},
{
"id": "867cf6ea-2a5f-45fa-98a7-68d194df1dfc",
"name": "### 替换 Airtable 连接",
"type": "n8n-nodes-base.stickyNote",
"position": [
3152,
112
],
"parameters": {
"color": 3,
"width": 512,
"height": 656,
"content": "## 📊 聚合股票数据(聚合节点)"
},
"typeVersion": 1
},
{
"id": "8e741c22-987f-4f7a-9e2b-d1d2158ec074",
"name": "便签10",
"type": "n8n-nodes-base.stickyNote",
"position": [
3664,
-240
],
"parameters": {
"color": 6,
"width": 880,
"height": 1008,
"content": "## 🤖 生成每日摘要(AI 节点 – OpenAI/Gemini)"
},
"typeVersion": 1
},
{
"id": "e03b89d9-d530-4c7f-8b9e-b85a39a1fa11",
"name": "便签11",
"type": "n8n-nodes-base.stickyNote",
"position": [
2784,
-752
],
"parameters": {
"color": 6,
"width": 512,
"height": 656,
"content": "## 🗂 保存到 Airtable(Airtable – 创建记录)"
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "ccdfd109-9fd2-40e4-981e-f85eef7cfba6",
"connections": {
"Split Stocks": {
"main": [
[
{
"node": "Prepare Stock Keyword",
"type": "main",
"index": 0
}
]
]
},
"Simple Memory": {
"ai_memory": [
[
{
"node": "Generate Daily Summary (AI)",
"type": "ai_memory",
"index": 0
}
]
]
},
"Wait for Data": {
"main": [
[
{
"node": "Check Scraper Progress",
"type": "main",
"index": 0
}
]
]
},
"Set Stock List": {
"main": [
[
{
"node": "Split Stocks",
"type": "main",
"index": 0
}
]
]
},
"Daily Run Trigger": {
"main": [
[
{
"node": "Set Stock List",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "Generate Daily Summary (AI)",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Bright Data Scraper": {
"main": [
[
{
"node": "Check Scraper Progress",
"type": "main",
"index": 0
}
]
]
},
"Aggregate Stock Data": {
"main": [
[
{
"node": "Generate Daily Summary (AI)",
"type": "main",
"index": 0
}
]
]
},
"Fetch Scraper Results": {
"main": [
[
{
"node": "Aggregate Stock Data",
"type": "main",
"index": 0
},
{
"node": "Save to Airtable (Daily Stocks)",
"type": "main",
"index": 0
}
]
]
},
"Prepare Stock Keyword": {
"main": [
[
{
"node": "Bright Data Scraper",
"type": "main",
"index": 0
}
]
]
},
"Scraper Status Switch": {
"main": [
[
{
"node": "Fetch Scraper Results",
"type": "main",
"index": 0
}
],
[
{
"node": "Wait for Data",
"type": "main",
"index": 0
}
]
]
},
"Send Report via Gmail": {
"ai_tool": [
[
{
"node": "Generate Daily Summary (AI)",
"type": "ai_tool",
"index": 0
}
]
]
},
"Check Scraper Progress": {
"main": [
[
{
"node": "Scraper Status Switch",
"type": "main",
"index": 0
}
]
]
},
"Generate Daily Summary (AI)": {
"main": [
[]
]
}
}
}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
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
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
AIAuto - 带深度研究的终极人机回环内容v2
WordPress博客自动化,集成Airtable界面、人工审核和AI研究v2
If
Set
Xml
+23
228 节点Daniel Ng
内容创作
使用GPT-5和fal.ai图像从关键词到WordPress自动化SEO博客流程
使用GPT-5和fal.ai图像从关键词到WordPress自动化SEO博客流程
Set
Code
Wait
+20
96 节点Paul
内容创作
批量SEO内容生成与带AI图片的Webflow草稿创建(模板)
使用GPT、Gemini图片和Webflow草稿创建进行批量SEO内容生成
If
Set
Code
+18
54 节点Dahiana
内容创作
完整的 B2B 销售流程:Apollo 潜在客户生成、Mailgun 外展和 AI 回复管理
完整的 B2B 销售流程:Apollo 潜在客户生成、Mailgun 外展和 AI 回复管理
If
Set
Code
+26
116 节点Paul
内容创作