AI驱动的新闻监控与社交帖子生成器 - OpenAI和Upload-Post
高级
这是一个Social Media, Multimodal AI领域的自动化工作流，包含 22 个节点。主要使用 If, Code, GoogleSheets, Agent, UploadPost 等节点。 基于OpenAI和Upload-Post的AI驱动新闻监控与社交帖子生成器
前置要求
- •Google Sheets API 凭证
- •OpenAI API Key
使用的节点 (22)
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": "3378b0d68c3b7ebfc71b79896d94e1a044dec38e99a1160aed4e9c323910fbe2"
},
"nodes": [
{
"id": "b53885b1-ab6b-49ab-931f-2df9e1a4763f",
"name": "部分：获取文章",
"type": "n8n-nodes-base.stickyNote",
"position": [
-2544,
1392
],
"parameters": {
"width": 192,
"height": 448,
"content": "**获取**"
},
"typeVersion": 1
},
{
"id": "080f5b14-4418-45a9-a07f-91d1c2a7b288",
"name": "部分：分析与评分",
"type": "n8n-nodes-base.stickyNote",
"position": [
-2352,
1392
],
"parameters": {
"width": 344,
"height": 448,
"content": "**分析与评分**"
},
"typeVersion": 1
},
{
"id": "dae4a8c3-057a-4f97-8305-04c6539e3516",
"name": "部分：解析与丰富",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1248,
1120
],
"parameters": {
"width": 176,
"height": 416,
"content": "**解析与丰富**"
},
"typeVersion": 1
},
{
"id": "d5824fef-69dd-4344-97cb-54cb4326d789",
"name": "部分：路由",
"type": "n8n-nodes-base.stickyNote",
"position": [
-2016,
1392
],
"parameters": {
"width": 400,
"height": 448,
"content": "**路由**"
},
"typeVersion": 1
},
{
"id": "ff8b6280-94ed-42bb-bdd3-c1a5cb4c74ec",
"name": "部分：内容生成",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1616,
1120
],
"parameters": {
"width": 380,
"height": 416,
"content": "**内容生成**"
},
"typeVersion": 1
},
{
"id": "dc8fd346-298a-4e0b-9df9-2d257e230d7e",
"name": "部分：存储与发布",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1072,
1120
],
"parameters": {
"width": 312,
"height": 416,
"content": "**存储与发布**"
},
"typeVersion": 1
},
{
"id": "a1b9a4e6-7033-4f6a-b38f-17dd82a54c68",
"name": "部分：审核与归档",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1616,
1536
],
"parameters": {
"width": 360,
"height": 336,
"content": "**审核与归档**"
},
"typeVersion": 1
},
{
"id": "ecec5c9b-945a-4b90-be82-3eb918c402c6",
"name": "RSS Feed触发器",
"type": "n8n-nodes-base.rssFeedReadTrigger",
"position": [
-2496,
1488
],
"parameters": {
"feedUrl": "https://morss.it/https://techcrunch.com/feed/",
"pollTimes": {
"item": [
{
"mode": "everyHour"
}
]
}
},
"typeVersion": 1
},
{
"id": "a589db79-e8da-4381-a537-21e515498a78",
"name": "OpenAI 聊天模型",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
-2288,
1664
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o",
"cachedResultName": "gpt-4o"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "XJdxgMSXFgwReSsh",
"name": "n8n key"
}
},
"typeVersion": 1.2
},
{
"id": "9772cc4e-e487-4383-b806-691736d3b0e4",
"name": "代码",
"type": "n8n-nodes-base.code",
"position": [
-1952,
1488
],
"parameters": {
"jsCode": "// Parse AI Agent JSON response\nconst items = $input.all();\nconst parsedItems = [];\n\nfor (const item of items) {\n const rawResponse = item.json.output;\n \n try {\n // Clean up escaped characters and parse the JSON response from AI\n const cleanedResponse = rawResponse.replace(/\\\\n/g, '').replace(/\\\\/g, '');\n const aiAnalysis = JSON.parse(cleanedResponse);\n \n // Handle key_topics - it might be a string or array\n let topicsString = \"\";\n if (Array.isArray(aiAnalysis.key_topics)) {\n topicsString = aiAnalysis.key_topics.join(\", \");\n } else if (typeof aiAnalysis.key_topics === 'string') {\n topicsString = aiAnalysis.key_topics;\n }\n \n // Combine original article data with parsed AI analysis\n parsedItems.push({\n json: {\n // Original article data\n title: $node[\"RSS Feed Trigger\"].json.title,\n link: $node[\"RSS Feed Trigger\"].json.link,\n pubDate: $node[\"RSS Feed Trigger\"].json.pubDate,\n content: $node[\"RSS Feed Trigger\"].json['content:encoded'],\n \n // Parsed AI analysis\n quality_score: aiAnalysis.quality_score || 5,\n relevance_score: aiAnalysis.relevance_score || 5,\n key_topics: topicsString,\n summary: aiAnalysis.summary || \"No summary provided\",\n content_angle: aiAnalysis.content_angle || \"No angle provided\",\n action: aiAnalysis.action || \"REVIEW\"\n }\n });\n \n } catch (error) {\n // Handle parsing errors gracefully\n console.log(\"Parsing error:\", error.message);\n console.log(\"Raw response:\", rawResponse);\n \n parsedItems.push({\n json: {\n title: $node[\"RSS Feed Trigger\"].json.title,\n link: $node[\"RSS Feed Trigger\"].json.link,\n pubDate: $node[\"RSS Feed Trigger\"].json.pubDate,\n content: $node[\"RSS Feed Trigger\"].json['content:encoded'],\n quality_score: 5,\n relevance_score: 5,\n key_topics: \"Parse Error\",\n summary: \"AI response could not be parsed: \" + error.message,\n content_angle: \"Manual review needed\",\n action: \"REVIEW\"\n }\n });\n }\n}\n\nreturn parsedItems;"
},
"typeVersion": 2
},
{
"id": "95ce7b87-d6ff-4efe-a9b8-d516a3bf8f35",
"name": "简单记忆",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"position": [
-2192,
1696
],
"parameters": {
"sessionKey": "={{ $execution.id }}",
"sessionIdType": "customKey"
},
"typeVersion": 1.3
},
{
"id": "9f585af3-e98e-4cb0-bdd3-ffc7409d5b9b",
"name": "OpenAI 聊天模型1",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
-1520,
1408
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1",
"cachedResultName": "gpt-4.1"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "XJdxgMSXFgwReSsh",
"name": "n8n key"
}
},
"typeVersion": 1.2
},
{
"id": "6d1b0895-a43d-4748-904a-2ec9e35ed7e0",
"name": "代码1",
"type": "n8n-nodes-base.code",
"position": [
-1216,
1232
],
"parameters": {
"jsCode": "// Parse content creation AI response\nconst items = $input.all();\nconst contentItems = [];\n\nfor (const item of items) {\n try {\n const rawResponse = item.json.output;\n const cleanedResponse = rawResponse.replace(/\\\\\\\\n/g, '').replace(/\\\\\\\\/g, '');\n const contentData = JSON.parse(cleanedResponse);\n\n // Get the original article data\n const originalData = $node[\"Code\"].json; // Reference our enhanced parsing node\n\n contentItems.push({\n json: {\n // Original article info\n title: originalData.title,\n link: originalData.link,\n quality_score: originalData.quality_score,\n relevance_score: originalData.relevance_score,\n summary: originalData.summary,\n\n // Generated content\n twitter_thread: contentData.twitter_thread || [],\n linkedin_post: contentData.linkedin_post || \"Content generation failed\",\n content_ready: contentData.content_ready || false,\n\n // Metadata\n created_at: new Date().toISOString(),\n platform_ready: true\n }\n });\n\n } catch (error) {\n // Handle parsing errors\n contentItems.push({\n json: {\n title: $node[\"Code\"].json.title,\n link: $node[\"Code\"].json.link,\n twitter_thread: [\"Content generation failed\"],\n linkedin_post: \"Content generation failed: \" + error.message,\n content_ready: false,\n error: error.message\n }\n });\n }\n}\n\nreturn contentItems;\n"
},
"typeVersion": 2
},
{
"id": "9263bf82-338b-4a87-b16b-f118b03adf1e",
"name": "存储内容",
"type": "n8n-nodes-base.googleSheets",
"position": [
-992,
1232
],
"parameters": {
"columns": {
"value": {
"Article Link": "={{ $json.link }}",
"Date Created": "={{ $now }}",
"Article Title": "={{ $json.title }}",
"Quality Score": "={{ $json.quality_score }}",
"Twitter Content": "={{ $json.twitter_thread[0] }}{{ $json.twitter_thread[1] }}{{ $json.twitter_thread[2] }}{{ $json.twitter_thread[3] }}",
"LinkedIn Content": "={{ $json.linkedin_post }}"
},
"schema": [
{
"id": "Date Created",
"type": "string",
"display": true,
"required": false,
"displayName": "Date Created",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Article Title",
"type": "string",
"display": true,
"required": false,
"displayName": "Article Title",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Article Link",
"type": "string",
"display": true,
"required": false,
"displayName": "Article Link",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Quality Score",
"type": "string",
"display": true,
"required": false,
"displayName": "Quality Score",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Twitter Content",
"type": "string",
"display": true,
"required": false,
"displayName": "Twitter Content",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "LinkedIn Content",
"type": "string",
"display": true,
"required": false,
"displayName": "LinkedIn Content",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Published (Yes/No)",
"type": "string",
"display": true,
"required": false,
"displayName": "Published (Yes/No)",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Performance Notes",
"type": "string",
"display": true,
"required": false,
"displayName": "Performance Notes",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "append",
"sheetName": {
"__rl": true,
"mode": "list",
"value": "gid=0",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1lg_9P1CJ8QT2fT2UBZChtxr8TZhpca1LzgSzm65Eldo/edit#gid=0",
"cachedResultName": "Hoja 1"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1lg_9P1CJ8QT2fT2UBZChtxr8TZhpca1LzgSzm65Eldo",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1lg_9P1CJ8QT2fT2UBZChtxr8TZhpca1LzgSzm65Eldo/edit?usp=drivesdk",
"cachedResultName": "horoscopo"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "3IOU2VjBnR4hGohx",
"name": "Google Sheets account"
}
},
"typeVersion": 4.7
},
{
"id": "b3d1d859-f55c-4a34-9125-98bc4cf1def4",
"name": "待审核",
"type": "n8n-nodes-base.googleSheets",
"position": [
-1360,
1568
],
"parameters": {
"columns": {
"value": {
"Link": "={{ $json.link }}",
"Title": "={{ $json.title }}",
"Summary": "={{ $json.summary }}",
"Pub Date": "={{ $json.pubDate }}",
"Content Angle": "={{ $json.content_angle }}",
"Quality Score": "={{ $json.quality_score }}",
"Relevance Score": "={{ $json.relevance_score }}"
},
"schema": [
{
"id": "Title",
"type": "string",
"display": true,
"required": false,
"displayName": "Title",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Link",
"type": "string",
"display": true,
"required": false,
"displayName": "Link",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Pub Date",
"type": "string",
"display": true,
"required": false,
"displayName": "Pub Date",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Quality Score",
"type": "string",
"display": true,
"required": false,
"displayName": "Quality Score",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Relevance Score",
"type": "string",
"display": true,
"required": false,
"displayName": "Relevance Score",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Summary",
"type": "string",
"display": true,
"required": false,
"displayName": "Summary",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Content Angle",
"type": "string",
"display": true,
"required": false,
"displayName": "Content Angle",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Reviewer",
"type": "string",
"display": true,
"required": false,
"displayName": "Reviewer",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Status",
"type": "string",
"display": true,
"required": false,
"displayName": "Status",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Notes",
"type": "string",
"display": true,
"required": false,
"displayName": "Notes",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "append",
"sheetName": {
"__rl": true,
"mode": "list",
"value": 1806686957,
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1qlgo9kKDnD6j7GZ6AhKD3EVbFyQu6MfGNEsNCz9lizg/edit#gid=1806686957",
"cachedResultName": "For Review"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1qlgo9kKDnD6j7GZ6AhKD3EVbFyQu6MfGNEsNCz9lizg",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1qlgo9kKDnD6j7GZ6AhKD3EVbFyQu6MfGNEsNCz9lizg/edit?usp=drivesdk",
"cachedResultName": "Content Research System"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "3IOU2VjBnR4hGohx",
"name": "Google Sheets account"
}
},
"typeVersion": 4.7
},
{
"id": "00e54584-0466-413f-8080-d27f5d92e4bc",
"name": "归档",
"type": "n8n-nodes-base.googleSheets",
"position": [
-1360,
1728
],
"parameters": {
"columns": {
"value": {
"Link": "={{ $json.link }}",
"Title": "={{ $json.title }}",
"Reason": "={{ $json.summary }}",
"Pub Date": "={{ $json.pubDate }}",
"Quality Score": "={{ $json.quality_score }}"
},
"schema": [
{
"id": "Title",
"type": "string",
"display": true,
"required": false,
"displayName": "Title",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Link",
"type": "string",
"display": true,
"required": false,
"displayName": "Link",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Pub Date",
"type": "string",
"display": true,
"required": false,
"displayName": "Pub Date",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Quality Score",
"type": "string",
"display": true,
"required": false,
"displayName": "Quality Score",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Reason",
"type": "string",
"display": true,
"required": false,
"displayName": "Reason",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "append",
"sheetName": {
"__rl": true,
"mode": "list",
"value": "gid=0",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1lg_9P1CJ8QT2fT2UBZChtxr8TZhpca1LzgSzm65Eldo/edit#gid=0",
"cachedResultName": "Hoja 1"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1lg_9P1CJ8QT2fT2UBZChtxr8TZhpca1LzgSzm65Eldo",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1lg_9P1CJ8QT2fT2UBZChtxr8TZhpca1LzgSzm65Eldo/edit?usp=drivesdk",
"cachedResultName": "horoscopo"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "3IOU2VjBnR4hGohx",
"name": "Google Sheets account"
}
},
"typeVersion": 4.7
},
{
"id": "6a76195f-77b3-45e6-b80c-a0e2a21a1124",
"name": "内容 AI",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
-1520,
1248
],
"parameters": {
"text": "=Create social media content for this article:\n\nTitle: {{ $json.title }}\nSummary: {{ $json.summary }}\nSuggested Angle: {{ $json.content_angle }}\nLink: {{ $json.link }}\n\nArticle scored {{ $json.quality_score }}/10 for quality and {{ $json.relevance_score }}/10 for relevance.\n",
"options": {
"systemMessage": "You are an expert social media content creator specializing in AI and automation topics.\n\nYour job is to take high-quality articles and create engaging, platform-specific content that drives audience engagement and positions the author as a thought leader.\n\nFor each article, create content for these platforms:\n\nTWITTER THREAD (3-4 tweets):\n- Tweet 1: Hook that grabs attention and introduces the main insight\n- Tweet 2-3: Key takeaways with specific examples or data\n- Tweet 4: Call-to-action with link to original article\n- Use emojis strategically\n- Keep each tweet under 280 characters\n\nLINKEDIN POST:\n- Professional tone suitable for business audience\n- 150-200 word summary highlighting business value\n- Include 2-3 key insights from the article\n- End with an engaging question to drive comments\n- Use professional hashtags (#artificialintelligence #businessautomation #productivity)\n\nReturn your response as valid JSON in this exact format:\n{\n \"twitter_thread\": [\"tweet 1 text\", \"tweet 2 text\", \"tweet 3 text\", \"tweet 4 text\"],\n \"linkedin_post\": \"full linkedin post text here\",\n \"content_ready\": true\n}\n\nFocus on value, insights, and engagement. Avoid being overly promotional."
},
"promptType": "define"
},
"typeVersion": 2.2
},
{
"id": "c3014888-18b3-415d-902e-aec5e62fe703",
"name": "评分 AI",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
-2288,
1488
],
"parameters": {
"text": "=Analyze this article: {{ $json.title }} - {{ $json['content:encoded'] }}",
"options": {
"systemMessage": "You are a content research assistant specializing in AI and automation topics.\n\nYour job is to analyze articles and determine their value for a content creator who focuses on:\n- AI tools and techniques\n- No-code automation platforms \n- Business automation workflows\n- AI news and developments\n\nIMPORTANT: You must respond with valid JSON in exactly this format:\n\n{\n \"quality_score\": 8,\n \"relevance_score\": 9,\n \"key_topics\": \"AI tools\", \"automation\", \"business efficiency\",\n \"summary\": \"Brief 2-3 sentence summary of the key points and main value.\",\n \"content_angle\": \"Suggested angle for social media content creation\",\n \"action\": \"PUBLISH\"\n}\n\nCRITICAL: Ensure all strings are properly quoted with double quotes. Arrays should contain quoted strings like [\"item1\", \"item2\", \"item3\"].\n\nScoring guidelines:\n- Quality Score (1-10): Based on source credibility, content depth, and usefulness\n- Relevance Score (1-10): How well it matches our AI/automation focus\n- Action: PUBLISH (scores 8+), REVIEW (scores 5-7), or ARCHIVE (scores <5)\n\nOnly return the JSON object, nothing else."
},
"promptType": "define"
},
"typeVersion": 2.2
},
{
"id": "4f150948-56e7-49e3-aec6-84ea4f34cd64",
"name": "质量过滤器",
"type": "n8n-nodes-base.if",
"position": [
-1744,
1488
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "2588090c-6a4a-4609-a8f8-1c7e3cbdda12",
"operator": {
"type": "number",
"operation": "gt"
},
"leftValue": "={{ $json.quality_score }}",
"rightValue": 4
}
]
}
},
"typeVersion": 2.2
},
{
"id": "36808aff-bfba-4c6d-aabc-f2b2277b227d",
"name": "质量过滤器 2",
"type": "n8n-nodes-base.if",
"position": [
-1584,
1680
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "c488b7fd-18a5-432d-af06-7a9748db4778",
"operator": {
"type": "number",
"operation": "gte"
},
"leftValue": "={{ $json.quality_score }}",
"rightValue": 5
}
]
}
},
"typeVersion": 2.2
},
{
"id": "a37813a5-c9d3-4105-9030-e3e9481648d4",
"name": "上传到 Twitter、LinkedIn 和 Threads",
"type": "n8n-nodes-upload-post.uploadPost",
"position": [
-992,
1376
],
"parameters": {
"user": "automated-tests",
"title": "={{ $json.twitter_thread }}",
"platform": [
"x",
"threads",
"linkedin"
],
"operation": "uploadText",
"linkedinTitle": "={{ $json.linkedin_post }}",
"targetLinkedinPageId": "urn:li:organization:108870530"
},
"credentials": {
"uploadPostApi": {
"id": "mREXP5Q3Gj5dS52e",
"name": "Smoker"
}
},
"typeVersion": 1
},
{
"id": "235e5e8b-37de-4ffc-9c51-650adecbdb77",
"name": "便签1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-2864,
1248
],
"parameters": {
"width": 320,
"height": 752,
"content": "**自动化内容策展与创作**"
},
"typeVersion": 1
}
],
"pinData": {},
"connections": {
"Code": {
"main": [
[
{
"node": "Quality Filter",
"type": "main",
"index": 0
}
]
]
},
"Code1": {
"main": [
[
{
"node": "Upload to Twitter,Linkedin and Threads",
"type": "main",
"index": 0
},
{
"node": "Store Content",
"type": "main",
"index": 0
}
]
]
},
"Content AI": {
"main": [
[
{
"node": "Code1",
"type": "main",
"index": 0
}
]
]
},
"Scoring AI": {
"main": [
[
{
"node": "Code",
"type": "main",
"index": 0
}
]
]
},
"Simple Memory": {
"ai_memory": [
[
{
"node": "Scoring AI",
"type": "ai_memory",
"index": 0
}
]
]
},
"Quality Filter": {
"main": [
[
{
"node": "Content AI",
"type": "main",
"index": 0
}
],
[
{
"node": "Quality Filter 2",
"type": "main",
"index": 0
}
]
]
},
"Quality Filter 2": {
"main": [
[
{
"node": "New for Review",
"type": "main",
"index": 0
}
],
[
{
"node": "Archive",
"type": "main",
"index": 0
}
]
]
},
"RSS Feed Trigger": {
"main": [
[
{
"node": "Scoring AI",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "Scoring AI",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"OpenAI Chat Model1": {
"ai_languageModel": [
[
{
"node": "Content AI",
"type": "ai_languageModel",
"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 - 社交媒体, 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22
分类2
节点类型9
作者
Juan Carlos Cavero Gracia
@carlosgraciaFollow me in linkedin: https://www.linkedin.com/in/juan-carlos-cavero-gracia/
外部链接
在 n8n.io 查看 →
分享此工作流