使用 Dumpling AI 和 Google 文档的表单转博客自动化
高级
这是一个Content Creation, Multimodal AI领域的自动化工作流，包含 17 个节点。主要使用 Code, Wait, Limit, SplitOut, Aggregate 等节点。 使用 Dumpling AI、OpenAI 和 Google 文档从关键词自动化博客创建
前置要求
- •可能需要目标 API 的认证凭证
- •OpenAI API Key
使用的节点 (17)
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": "hCUgw7o0NPlNWR0K",
"meta": {
"instanceId": "a1ae5c8dc6c65e674f9c3947d083abcc749ef2546dff9f4ff01de4d6a36ebfe6",
"templateCredsSetupCompleted": true
},
"name": "使用 Dumpling AI 和 Google 文档的表单转博客自动化",
"tags": [],
"nodes": [
{
"id": "5e40b2b3-8d03-46b0-b1da-a1111997da55",
"name": "表单提交（关键词）",
"type": "n8n-nodes-base.formTrigger",
"position": [
-416,
32
],
"webhookId": "1efeb31a-b7f2-4750-8c8a-5aabbdafd57d",
"parameters": {
"options": {},
"formTitle": "Blog form",
"formFields": {
"values": [
{
"fieldLabel": "Keywords"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "4e2c4c76-6d22-4a6b-abd1-8771b2ff21f7",
"name": "Dumpling AI 自动补全",
"type": "n8n-nodes-base.httpRequest",
"position": [
-192,
32
],
"parameters": {
"url": "https://app.dumplingai.com/api/v1/get-autocomplete",
"method": "POST",
"options": {},
"sendBody": true,
"authentication": "genericCredentialType",
"bodyParameters": {
"parameters": [
{
"name": "query",
"value": "={{ $json.Keywords }}"
},
{
"name": "country",
"value": "US"
}
]
},
"genericAuthType": "httpHeaderAuth"
},
"credentials": {
"httpHeaderAuth": {
"id": "RLFzAcGRepr5eXZB",
"name": "Dumpling AI-n8n"
}
},
"typeVersion": 4.2
},
{
"id": "99e4b141-da82-4131-a38e-d65e14307049",
"name": "分割自动补全建议",
"type": "n8n-nodes-base.splitOut",
"position": [
32,
32
],
"parameters": {
"options": {},
"fieldToSplitOut": "suggestions"
},
"typeVersion": 1
},
{
"id": "cc647e9e-fb05-4ea0-ac9c-c5c619ff0d7c",
"name": "循环建议",
"type": "n8n-nodes-base.splitInBatches",
"position": [
256,
32
],
"parameters": {
"options": {}
},
"typeVersion": 3
},
{
"id": "dd3edb69-ea7c-4d45-9fec-28400e9c16d7",
"name": "请求间延迟",
"type": "n8n-nodes-base.wait",
"position": [
464,
32
],
"webhookId": "7ec6dbb9-5d73-43f1-aec9-ba1d6d6c7890",
"parameters": {},
"typeVersion": 1.1
},
{
"id": "2e768d0f-a2fa-4236-a25f-1ed2ae36a9f1",
"name": "Dumpling AI 谷歌新闻",
"type": "n8n-nodes-base.httpRequest",
"position": [
672,
32
],
"parameters": {
"url": " https://app.dumplingai.com/api/v1/search-news",
"method": "POST",
"options": {},
"sendBody": true,
"authentication": "genericCredentialType",
"bodyParameters": {
"parameters": [
{
"name": "query",
"value": "={{ $json.value }}"
},
{
"name": "country",
"value": "US"
}
]
},
"genericAuthType": "httpHeaderAuth"
},
"credentials": {
"httpHeaderAuth": {
"id": "RLFzAcGRepr5eXZB",
"name": "Dumpling AI-n8n"
}
},
"typeVersion": 4.2
},
{
"id": "4cc5e45e-3fd1-444b-b872-83ca62196b41",
"name": "分割新闻文章",
"type": "n8n-nodes-base.splitOut",
"position": [
864,
32
],
"parameters": {
"options": {},
"fieldToSplitOut": "news"
},
"typeVersion": 1
},
{
"id": "3f03dc09-2cbc-4c6a-a798-1a61b81a8073",
"name": "筛选文章（1-2 天前）",
"type": "n8n-nodes-base.code",
"position": [
1104,
32
],
"parameters": {
"jsCode": "// Works in n8n Code node\n// Filters only articles that are between 1 and 2 days old\n\nfunction parseRelative(relative, baseNow) {\n if (typeof relative !== 'string') return null;\n const s = relative.trim().toLowerCase();\n\n // quick rejects\n if (s.includes('yesterday')) {\n // treat \"yesterday\" as exactly 1 day ago\n return new Date(baseNow.getTime() - 24 * 3600000);\n }\n if (s.includes('week') || s.includes('month') || s.includes('year')) return null;\n\n // match \"15 hours ago\", \"2 days ago\", etc.\n const m = s.match(/(\\d+)\\s*(second|seconds|sec|secs|minute|min|minutes|mins|hour|hours|day|days)\\s*ago$/);\n if (!m) return null;\n\n const amount = parseInt(m[1], 10);\n const unit = m[2];\n\n const msMap = {\n second: 1000, seconds: 1000, sec: 1000, secs: 1000,\n minute: 60000, minutes: 60000, min: 60000, mins: 60000,\n hour: 3600000, hours: 3600000,\n day: 86400000, days: 86400000,\n };\n\n const ms = msMap[unit];\n if (!ms) return null;\n\n return new Date(baseNow.getTime() - amount * ms);\n}\n\n// Collect articles from either shape\nlet articles = [];\nif (items.length === 1 && Array.isArray(items[0].json)) {\n articles = items[0].json;\n} else {\n articles = items.map(i => i.json);\n}\n\n// Determine \"now\" (or override with present_date if provided)\nlet baseNow = new Date();\nconst present = items?.[0]?.json?.present_date;\nif (typeof present === 'string' && /^\\d{4}-\\d{2}-\\d{2}$/.test(present)) {\n const [y, m, d] = present.split('-').map(n => parseInt(n, 10));\n baseNow = new Date(y, m - 1, d, 12, 0, 0, 0);\n}\n\n// Define boundaries\nconst twoDaysAgo = new Date(baseNow.getTime() - 2 * 24 * 3600000);\nconst oneDayAgo = new Date(baseNow.getTime() - 1 * 24 * 3600000);\n\nconst out = [];\nfor (const a of articles) {\n const rel = a.date || a.published_time || a.publishedAt || a.pubDate || a.time || '';\n const abs = parseRelative(rel, baseNow);\n if (!abs) continue;\n\n // Keep only if between 1 and 2 days ago\n if (abs >= twoDaysAgo && abs < oneDayAgo) {\n const url = a.link || a.url || a.uri;\n if (!url) continue;\n\n out.push({ json: { URL: String(url), score: 10 } });\n }\n}\n\nreturn out;\n"
},
"typeVersion": 2,
"alwaysOutputData": true
},
{
"id": "a62c05a4-a000-4e0a-af8d-834f0623802c",
"name": "限制文章数量",
"type": "n8n-nodes-base.limit",
"position": [
1328,
32
],
"parameters": {
"maxItems": 2
},
"typeVersion": 1
},
{
"id": "30ba63a3-5ac6-4a80-ab09-39ead3320774",
"name": "Dumpling AI 爬虫",
"type": "n8n-nodes-base.httpRequest",
"onError": "continueRegularOutput",
"position": [
1568,
32
],
"parameters": {
"url": "https://app.dumplingai.com/api/v1/scrape",
"method": "POST",
"options": {},
"sendBody": true,
"authentication": "genericCredentialType",
"bodyParameters": {
"parameters": [
{
"name": "url",
"value": "={{ $json.URL }}"
}
]
},
"genericAuthType": "httpHeaderAuth"
},
"credentials": {
"httpHeaderAuth": {
"id": "RLFzAcGRepr5eXZB",
"name": "Dumpling AI-n8n"
}
},
"typeVersion": 4.2
},
{
"id": "f1ad7937-7877-4c35-9840-27b8ac21d447",
"name": "清理和准备文章内容",
"type": "n8n-nodes-base.code",
"position": [
1776,
32
],
"parameters": {
"jsCode": "// n8n Code node, JavaScript\n\n// If the incoming item is a single item whose .json is an array,\n// make it our working array. Otherwise assume multiple items.\nconst raw = Array.isArray(items[0]?.json) ? items[0].json : items.map(i => i.json);\n\nfunction cleanMarkdown(md) {\n if (!md || typeof md !== \"string\") return \"\";\n\n let text = md;\n\n // Remove markdown images  and bare images \n text = text.replace(/!\\[[^\\]]*?\\]\\([^)]+\\)/g, \"\");\n\n // Replace markdown links [text](url) with just \"text\"\n text = text.replace(/\\[([^\\]]+)\\]\\((?:https?:\\/\\/|mailto:)[^)]+\\)/g, \"$1\");\n\n // Remove bare URLs\n text = text.replace(/https?:\\/\\/\\S+/g, \"\");\n\n // Cut everything after non article sections\n const cutMarkers = [\n /^##\\s*More videos\\b/mi,\n /^##\\s*Related Articles\\b/mi,\n /^##\\s*More Regional News\\b/mi,\n /^\\s*Share This Article\\b/mi,\n /^##\\s*About Me\\b/mi,\n ];\n for (const rx of cutMarkers) {\n const idx = text.search(rx);\n if (idx !== -1) {\n text = text.slice(0, idx);\n break;\n }\n }\n\n // Drop common clutter lines\n const dropStarts = [\n \"Skip to content\",\n \"Skip to main content\",\n \"Share\",\n \"Watch later\",\n \"Copy link\",\n \"Include playlist\",\n \"More videos\",\n \"You are signed out\",\n \"CancelConfirm\",\n \"Search\",\n \"Shopping\",\n \"Info\",\n \"Tap to unmute\",\n \"If playback does not begin\",\n \"Video Player is loading\",\n \"Play Video\",\n \"Stream Type\",\n \"Seek to live\",\n \"Remaining Time\",\n \"Playback Rate\",\n \"Chapters\",\n \"Captions\",\n \"Audio Track\",\n \"Fullscreen\",\n \"Close Modal Dialog\",\n \"Topic:\",\n ];\n text = text\n .split(\"\\n\")\n .filter(line => {\n const L = line.trim();\n if (!L) return true;\n return !dropStarts.some(s => L.startsWith(s));\n })\n .join(\"\\n\");\n\n // Remove heading markers but keep their words\n text = text.replace(/^#{1,6}\\s*/gm, \"\");\n\n // Remove blockquote markers\n text = text.replace(/^\\s*>\\s?/gm, \"\");\n\n // Remove leftover image captions such as \"(Image by ...)\"\n text = text.replace(/\\((?:Image by|Photo|GIF|Video)[^)]+\\)\\s*/gi, \"\");\n\n // Compress extra blank lines\n text = text.replace(/\\n{3,}/g, \"\\n\\n\").trim();\n\n return text;\n}\n\nconst out = raw.map(a => {\n const title = a.title || \"\";\n const content = a.content || \"\";\n return {\n json: {\n title,\n article: cleanMarkdown(content),\n },\n };\n});\n\nreturn out;\n"
},
"typeVersion": 2
},
{
"id": "e122251c-5540-4dd3-be3f-59620c1aacf2",
"name": "聚合文章",
"type": "n8n-nodes-base.aggregate",
"position": [
496,
-208
],
"parameters": {
"include": "specifiedFields",
"options": {},
"aggregate": "aggregateAllItemData",
"fieldsToInclude": "article",
"destinationFieldName": "article"
},
"typeVersion": 1
},
{
"id": "acf43fa6-f8d4-4533-8522-68640916877c",
"name": "OpenAI：生成博客草稿",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
752,
-208
],
"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 professional content writer. I will provide you with raw scraped content from different articles. Your job is to create a polished, original blog post based on the ideas and insights in that content.\n\nOutput Requirements:\n- Return ONLY valid JSON (no explanations, no markdown formatting outside JSON, no comments).\n- JSON must have exactly these keys:\n {\n \"Blog_post\": \"Markdown formatted blog post\",\n \"title\": \"A clear, engaging blog post title\"\n }\n\nWriting Instructions:\n1. Write the blog post in engaging, professional, and conversational language.\n2. Use Markdown formatting: \n - Headings (#, ##, ###) for sections\n - Bold or italic where necessary\n - Lists where it improves readability\n3. Do not copy the scraped text directly. Rewrite it in your own words while keeping the meaning.\n4. Exclude clutter such as “related articles,” “share this,” or video references.\n5. Organize with a strong introduction, clear body sections, and a compelling conclusion.\n6. Add smooth transitions between sections so the blog post flows naturally.\n\n"
},
{
"content": "=---\nHere is the scraped content to base the blog post on:\n{{ JSON.stringify($json.article) }}\n---\n"
}
]
},
"jsonOutput": true
},
"credentials": {
"openAiApi": {
"id": "dd8NvMC6rvx8RITo",
"name": "OpenAi account 2"
}
},
"typeVersion": 1.8
},
{
"id": "04ee4323-3527-401c-a963-a726c7f1dad6",
"name": "Google 文档：创建博客文件",
"type": "n8n-nodes-base.googleDocs",
"position": [
1104,
-208
],
"parameters": {
"title": "={{ $json.message.content.title }}",
"folderId": "1NU00YbKNiHJptNuQZH6kgVUhLvDzE0ka"
},
"credentials": {
"googleDocsOAuth2Api": {
"id": "Ofx9WFXGfyxTK2fk",
"name": "Google Docs account"
}
},
"typeVersion": 2
},
{
"id": "bacf9175-722d-4f93-a571-4a5e4e555995",
"name": "Google 文档：插入博客内容",
"type": "n8n-nodes-base.googleDocs",
"position": [
1312,
-208
],
"parameters": {
"actionsUi": {
"actionFields": [
{
"text": "={{ $('OpenAI: Generate Blog Draft').item.json.message.content.Blog_post }}",
"action": "insert"
}
]
},
"operation": "update",
"documentURL": "={{ $json.id }}"
},
"credentials": {
"googleDocsOAuth2Api": {
"id": "Ofx9WFXGfyxTK2fk",
"name": "Google Docs account"
}
},
"typeVersion": 2
},
{
"id": "cac11f57-cf15-40ec-9c0a-49ad02b48564",
"name": "便签",
"type": "n8n-nodes-base.stickyNote",
"position": [
-400,
-208
],
"parameters": {
"width": 624,
"height": 368,
"content": "## 代理分支"
},
"typeVersion": 1
},
{
"id": "d382d3f0-74fc-47d3-8b32-8e3c48f5bf40",
"name": "便签1",
"type": "n8n-nodes-base.stickyNote",
"position": [
704,
-384
],
"parameters": {
"width": 752,
"height": 256,
"content": "## 博客分支"
},
"typeVersion": 1
}
],
"active": false,
"pinData": {
"Dumpling AI Autocomplete": [
{
"json": {
"credits": 1,
"suggestions": [
{
"value": "ai agents"
},
{
"value": "ai agents explained"
},
{
"value": "ai agents vs agentic ai"
},
{
"value": "ai agents course"
},
{
"value": "ai agents examples"
},
{
"value": "ai agents startup science machine"
},
{
"value": "ai agents reddit"
},
{
"value": "ai agents directory"
},
{
"value": "ai agents tools"
},
{
"value": "ai agents in action"
}
],
"searchParameters": {
"q": "AI agents",
"gl": "us",
"type": "autocomplete",
"engine": "google"
}
}
}
],
"Form Submission (Keywords)": [
{
"json": {
"Keywords": "AI agents",
"formMode": "test",
"submittedAt": "2025-08-23T10:19:28.477+10:00"
}
}
]
},
"settings": {
"executionOrder": "v1"
},
"versionId": "34bb81b5-d086-4f95-b702-3f42cb606281",
"connections": {
"a62c05a4-a000-4e0a-af8d-834f0623802c": {
"main": [
[
{
"node": "30ba63a3-5ac6-4a80-ab09-39ead3320774",
"type": "main",
"index": 0
}
]
]
},
"cc647e9e-fb05-4ea0-ac9c-c5c619ff0d7c": {
"main": [
[
{
"node": "e122251c-5540-4dd3-be3f-59620c1aacf2",
"type": "main",
"index": 0
}
],
[
{
"node": "dd3edb69-ea7c-4d45-9fec-28400e9c16d7",
"type": "main",
"index": 0
}
]
]
},
"e122251c-5540-4dd3-be3f-59620c1aacf2": {
"main": [
[
{
"node": "acf43fa6-f8d4-4533-8522-68640916877c",
"type": "main",
"index": 0
}
]
]
},
"30ba63a3-5ac6-4a80-ab09-39ead3320774": {
"main": [
[
{
"node": "f1ad7937-7877-4c35-9840-27b8ac21d447",
"type": "main",
"index": 0
}
]
]
},
"4cc5e45e-3fd1-444b-b872-83ca62196b41": {
"main": [
[
{
"node": "3f03dc09-2cbc-4c6a-a798-1a61b81a8073",
"type": "main",
"index": 0
}
]
]
},
"dd3edb69-ea7c-4d45-9fec-28400e9c16d7": {
"main": [
[
{
"node": "2e768d0f-a2fa-4236-a25f-1ed2ae36a9f1",
"type": "main",
"index": 0
}
]
]
},
"2e768d0f-a2fa-4236-a25f-1ed2ae36a9f1": {
"main": [
[
{
"node": "4cc5e45e-3fd1-444b-b872-83ca62196b41",
"type": "main",
"index": 0
}
]
]
},
"4e2c4c76-6d22-4a6b-abd1-8771b2ff21f7": {
"main": [
[
{
"node": "99e4b141-da82-4131-a38e-d65e14307049",
"type": "main",
"index": 0
}
]
]
},
"5e40b2b3-8d03-46b0-b1da-a1111997da55": {
"main": [
[
{
"node": "4e2c4c76-6d22-4a6b-abd1-8771b2ff21f7",
"type": "main",
"index": 0
}
]
]
},
"acf43fa6-f8d4-4533-8522-68640916877c": {
"main": [
[
{
"node": "04ee4323-3527-401c-a963-a726c7f1dad6",
"type": "main",
"index": 0
}
]
]
},
"04ee4323-3527-401c-a963-a726c7f1dad6": {
"main": [
[
{
"node": "bacf9175-722d-4f93-a571-4a5e4e555995",
"type": "main",
"index": 0
}
]
]
},
"99e4b141-da82-4131-a38e-d65e14307049": {
"main": [
[
{
"node": "cc647e9e-fb05-4ea0-ac9c-c5c619ff0d7c",
"type": "main",
"index": 0
}
]
]
},
"f1ad7937-7877-4c35-9840-27b8ac21d447": {
"main": [
[
{
"node": "cc647e9e-fb05-4ea0-ac9c-c5c619ff0d7c",
"type": "main",
"index": 0
}
]
]
},
"3f03dc09-2cbc-4c6a-a798-1a61b81a8073": {
"main": [
[
{
"node": "a62c05a4-a000-4e0a-af8d-834f0623802c",
"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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