🤖 自动化社交媒体内容引擎：从RSS到发布帖子
高级
这是一个Social Media, Multimodal AI领域的自动化工作流，包含 58 个节点。主要使用 If, Set, Code, Late, Switch 等节点。 使用AI、Airtable和GetLate为多平台自动化RSS到社交媒体发布流程
前置要求
- •Airtable API Key
- •可能需要目标 API 的认证凭证
使用的节点 (58)
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": "Gax5ozmMKpBb1s7z",
"meta": {
"instanceId": "74d713ac149bdf2e1c898ad831b3f08fdb291e841248586bcb28212c38bd700b"
},
"name": "🤖 自动化社交媒体内容引擎：从 RSS 到发布帖子",
"tags": [
{
"id": "B0Svy69BBALasOax",
"name": "social-media-automation",
"createdAt": "2025-09-30T19:09:24.274Z",
"updatedAt": "2025-09-30T19:09:24.274Z"
},
{
"id": "ePBEMpRwi21NHJQ6",
"name": "ai-content-generation",
"createdAt": "2025-09-30T19:10:15.132Z",
"updatedAt": "2025-09-30T19:10:15.132Z"
},
{
"id": "YtvOAZaBOf88KVk9",
"name": "rss-to-social",
"createdAt": "2025-09-30T19:10:22.750Z",
"updatedAt": "2025-09-30T19:10:22.750Z"
},
{
"id": "7XQbCSxeyZ4aPM1O",
"name": "getlate-api",
"createdAt": "2025-09-30T19:10:38.744Z",
"updatedAt": "2025-09-30T19:10:38.744Z"
}
],
"nodes": [
{
"id": "8c08347d-a66d-40f8-847e-bec6ab08f699",
"name": "设置帖子排程",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
784,
1504
],
"parameters": {
"rule": {
"interval": [
{
"field": "weeks",
"triggerAtDay": [
1
],
"triggerAtHour": 12
}
]
}
},
"typeVersion": 1.2
},
{
"id": "4ee7d7a6-9c16-45b9-810f-13d398381096",
"name": "LinkedIn SMCG",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
2048,
1360
],
"parameters": {
"batching": {},
"hasOutputParser": true
},
"typeVersion": 1.7
},
{
"id": "a31281d3-9d15-4423-ba81-3d0d57fc8017",
"name": "Bluesky SMCG",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
2048,
1664
],
"parameters": {
"batching": {}
},
"typeVersion": 1.7
},
{
"id": "0916877b-7835-4fe5-8e36-b9d91c5b0e17",
"name": "生成帖子图片（LinkedIn）",
"type": "n8n-nodes-base.httpRequest",
"position": [
2816,
1344
],
"parameters": {
"url": "https://api-inference.huggingface.co/models/stabilityai/stable-diffusion-xl-base-1.0",
"method": "POST",
"options": {
"response": {
"response": {
"fullResponse": true
}
}
},
"sendBody": true,
"sendHeaders": true,
"authentication": "genericCredentialType",
"bodyParameters": {
"parameters": [
{
"name": "inputs",
"value": "={{ $json.output.image_prompt }}"
}
]
},
"genericAuthType": "httpBearerAuth",
"headerParameters": {
"parameters": [
{
"name": "accept",
"value": "image/png"
}
]
}
},
"credentials": {
"httpBearerAuth": {
"id": "gv5zYpvHHxYv727R",
"name": "Bearer YOUR_TOKEN_HERE account - Hugging Face"
}
},
"typeVersion": 4.2
},
{
"id": "47ef3d09-df53-4163-93b8-7be5dcc3a230",
"name": "在 Imgbb 存储图片（LinkedIn）",
"type": "n8n-nodes-base.httpRequest",
"position": [
3248,
1344
],
"parameters": {
"url": "https://api.imgbb.com/1/upload",
"method": "POST",
"options": {},
"sendBody": true,
"sendQuery": true,
"contentType": "multipart-form-data",
"authentication": "genericCredentialType",
"bodyParameters": {
"parameters": [
{
"name": "image",
"value": "={{ $('Convert to Base64 (LinkedIn)').item.json.image_data[0].binary.data.data }}"
}
]
},
"genericAuthType": "httpQueryAuth",
"queryParameters": {
"parameters": [
{
"name": "name",
"value": "={{ $('Pull New Articles').item.json.createdTime }}-{{ $('Pull New Articles').item.json.id }}-{{ $('Pull New Articles').item.json.platform.toLowerCase() }}"
}
]
}
},
"credentials": {
"httpQueryAuth": {
"id": "pT3TEBbPhLosrjma",
"name": "Query Auth account - Imgbb"
},
"httpBearerAuth": {
"id": "gv5zYpvHHxYv727R",
"name": "Bearer YOUR_TOKEN_HERE account - Hugging Face"
}
},
"typeVersion": 4.2
},
{
"id": "1aff70b8-54bd-4fe9-9cd2-8a5721cc90f4",
"name": "存储生成的帖子内容（LinkedIn）",
"type": "n8n-nodes-base.airtable",
"position": [
3664,
1344
],
"parameters": {
"base": {
"__rl": true,
"mode": "list",
"value": "appobCAkHxBSApdQ3",
"cachedResultUrl": "https://airtable.com/appobCAkHxBSApdQ3",
"cachedResultName": "RSS Feed Store - Wallabag RSS Feed Aggregator"
},
"table": {
"__rl": true,
"mode": "list",
"value": "tbl8jsh0nMt3F5mo5",
"cachedResultUrl": "https://airtable.com/appobCAkHxBSApdQ3/tbl8jsh0nMt3F5mo5",
"cachedResultName": "RSS Feed - Content Store"
},
"columns": {
"value": {
"id": "={{ $('Pull New Articles').item.json.id }}",
"cta_used": "={{ $('LinkedIn SMCG').item.json.output.cta_used }}",
"image_id": "={{ $('Store Image on Imgbb (LinkedIn)').item.json.data.id }}",
"is_posted": 1,
"post_text": "={{ $('LinkedIn SMCG').item.json.output.post_text }}",
"image_link": "={{ $('Store Image on Imgbb (LinkedIn)').item.json.data.image.url }}",
"article_url": "={{ $('Pull New Articles').item.json.article_url }}",
"goal_applied": "={{ $('LinkedIn SMCG').item.json.output.goal_applied }}",
"image_prompt": "={{ $('LinkedIn SMCG').item.json.output.image_prompt }}",
"tone_applied": "={{ $('LinkedIn SMCG').item.json.output.tone_applied }}",
"image_filename": "={{ $('Store Image on Imgbb (LinkedIn)').item.json.data.title }}",
"character_count": "={{ $('LinkedIn SMCG').item.json.output.character_count }}",
"audience_ targeted": "={{ $('LinkedIn SMCG').item.json.output.audience_targeted }}",
"suggested_hashtags": "={{ $('LinkedIn SMCG').item.json.output.suggested_hashtags.join(', ') }}"
},
"schema": [
{
"id": "id",
"type": "string",
"display": true,
"removed": false,
"readOnly": true,
"required": false,
"displayName": "id",
"defaultMatch": true
},
{
"id": "id",
"type": "string",
"display": true,
"removed": false,
"readOnly": true,
"required": false,
"displayName": "id",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "feed_id",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "feed_id",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "article_url",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "article_url",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "title",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "title",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "author",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "author",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "content_markdown",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "content_markdown",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "is_posted",
"type": "number",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "is_posted",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "platform",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "platform",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "post_text",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "post_text",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "suggested_hashtags",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "suggested_hashtags",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "cta_used",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "cta_used",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "tone_applied",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "tone_applied",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "goal_applied",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "goal_applied",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "audience_ targeted",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "audience_ targeted",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "character_count",
"type": "number",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "character_count",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "image_prompt",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "image_prompt",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "image_filename",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "image_filename",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "image_id",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "image_id",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "image_link",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "image_link",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"id"
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "upsert"
},
"credentials": {
"airtableTokenApi": {
"id": "D9AiOyADd2P9e8YQ",
"name": "Airtable Personal Access Token account 2"
}
},
"typeVersion": 2.1
},
{
"id": "351e0052-367d-42e2-ae40-9cb396fb9d0e",
"name": "存储生成的帖子内容（无图片，LinkedIn）",
"type": "n8n-nodes-base.airtable",
"position": [
3040,
1520
],
"parameters": {
"base": {
"__rl": true,
"mode": "list",
"value": "appobCAkHxBSApdQ3",
"cachedResultUrl": "https://airtable.com/appobCAkHxBSApdQ3",
"cachedResultName": "GetLate n8n Arena Challenge - Wallabag Content Store"
},
"table": {
"__rl": true,
"mode": "list",
"value": "tbl8jsh0nMt3F5mo5",
"cachedResultUrl": "https://airtable.com/appobCAkHxBSApdQ3/tbl8jsh0nMt3F5mo5",
"cachedResultName": "RSS Feed - Content Store"
},
"columns": {
"value": {
"id": "={{ $('Pull New Articles').item.json.id }}",
"cta_used": "={{ $('Validate JSON (LinkedIn)').item.json.cta_used }}",
"is_posted": 1,
"post_text": "={{ $('Validate JSON (LinkedIn)').item.json.post_text }}",
"article_url": "={{ $('Pull New Articles').item.json.article_url }}",
"goal_applied": "={{ $('Validate JSON (LinkedIn)').item.json.goal_applied }}",
"image_prompt": "={{ $('Validate JSON (LinkedIn)').item.json.image_prompt }}",
"tone_applied": "={{ $('Validate JSON (LinkedIn)').item.json.tone_applied }}",
"character_count": "={{ $('Validate JSON (LinkedIn)').item.json.character_count }}",
"audience_ targeted": "={{ $('Validate JSON (LinkedIn)').item.json.audience_targeted }}",
"suggested_hashtags": "={{ $('Validate JSON (LinkedIn)').item.json.suggested_hashtags.join(\", \")}}"
},
"schema": [
{
"id": "id",
"type": "string",
"display": true,
"removed": false,
"readOnly": true,
"required": false,
"displayName": "id",
"defaultMatch": true
},
{
"id": "id",
"type": "string",
"display": true,
"removed": false,
"readOnly": true,
"required": false,
"displayName": "id",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "feed_id",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "feed_id",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "article_url",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "article_url",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "title",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "title",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "author",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "author",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "content_markdown",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "content_markdown",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "is_posted",
"type": "number",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "is_posted",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "platform",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "platform",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "post_text",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "post_text",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "suggested_hashtags",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "suggested_hashtags",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "cta_used",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "cta_used",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "tone_applied",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "tone_applied",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "goal_applied",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "goal_applied",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "audience_ targeted",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "audience_ targeted",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "character_count",
"type": "number",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "character_count",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "image_prompt",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "image_prompt",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "image_filename",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "image_filename",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "image_id",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "image_id",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "image_link",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "image_link",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"id"
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "upsert"
},
"credentials": {
"airtableTokenApi": {
"id": "D9AiOyADd2P9e8YQ",
"name": "Airtable Personal Access Token account 2"
}
},
"typeVersion": 2.1
},
{
"id": "6ac4287e-18e8-43d6-8b01-0bbc7bd0d99a",
"name": "检查平台",
"type": "n8n-nodes-base.switch",
"position": [
1696,
1488
],
"parameters": {
"rules": {
"values": [
{
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "0dbe36a7-9d05-4ea1-8be6-aca799a0a361",
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.platform }}",
"rightValue": "linkedin"
}
]
}
},
{
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "c9c2ccff-03be-474b-b1d9-86b809c723a8",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.platform }}",
"rightValue": "bluesky"
}
]
}
},
{
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "71eb6b63-8128-479d-92f9-1184f45f3cbc",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.platform }}",
"rightValue": "instagram"
}
]
}
}
]
},
"options": {}
},
"typeVersion": 3.3
},
{
"id": "ada5c92f-69ea-45f4-aa1a-bcce063a2aa1",
"name": "Bluesky SMCG 提示",
"type": "n8n-nodes-base.set",
"position": [
1872,
1664
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "3a30f765-4dac-4605-8f56-74b2076ece93",
"name": "chatInput",
"type": "string",
"value": "=\nRole: You are a professional social media content generator specializing in Bluesky.\n\nTask: Create one optimized Bluesky post (skeet) based on the provided article content and user specifications.\n\nInput Data:\n- Niche: {{ $('Set SMCG Custom Parameters & Settings').item.json.niche }}\n- Tone: {{ $('Set SMCG Custom Parameters & Settings').item.json.tone }}\n- Goal: {{ $('Set SMCG Custom Parameters & Settings').item.json.goal }}\n- Call-To-Action (CTA): {{ $('Set SMCG Custom Parameters & Settings').item.json.cta }}\n- Target Audience: {{ $('Set SMCG Custom Parameters & Settings').item.json.target_audience }}\n- Custom Tags: {{ $('Set SMCG Custom Parameters & Settings').item.json.custom_tags }}\n- Needs Image Prompt: {{ $('Set SMCG Custom Parameters & Settings').item.json.generate_image_bluesky }}\n- Article Title: {{ $('Pull New Articles').item.json.title }}\n- Article Author: {{ $('Pull New Articles').item.json.author }}\n- Article Content: {{ $('Pull New Articles').item.json.content_markdown }}\n\nContent Creation Guidelines:\n\n1. Bluesky Post Structure:\n- Create concise, engaging content suitable for a broad, real-time audience.\n- Length: Optimal 250-300 characters, maximum 300 characters.\n- First line must contain a strong, scroll-stopping hook.\n- Focus on one key insight, surprising takeaway, or compelling question from the article.\n- CRITICAL: After the main content and CTA, append ALL custom tags from the user's \"custom_tags\" input at the very end of the post, ensuring the total character count stays within the 300 character limit.\n- Integrate the CTA naturally into the post flow - weave it into the narrative rather than tacking it on at the end.\n\n2. Content Quality:\n- Extract the most valuable, counterintuitive, or actionable insight from the article.\n- Match the specified tone (can be more conversational or punchy than LinkedIn).\n- Express the CTA using natural language that matches the post's tone and flow.\n- Encourage replies or engagement (e.g., with a rhetorical question or bold claim).\n- Add brief context or perspective—don't just summarize.\n- Reserve character space to append all user-provided custom tags (hashtags and @mentions) at the end.\n- Make the CTA feel like an organic part of the conversation, not a separate command.\n\n3. Image Prompt Handling:\n- If \"needs_image_prompt\" is true: Generate a clear, descriptive image prompt reflecting the article's core idea in a visually engaging, Bluesky-appropriate style.\n- If \"needs_image_prompt\" is false: Set \"image_prompt\" to JSON null (not the string \"null\").\n- Image prompts should be detailed enough for AI image generation.\n\nOutput Requirements:\n- Return ONLY a valid JSON object with no extra text, markdown, or comments.\n- All keys and string values must use double quotes.\n- \"character_count\" must be an integer.\n- Do not include any fields beyond those listed.\n- Ensure all custom tags provided by the user appear at the end of post_text within the 300 character limit.\n\nJSON Output Structure:\n\n{\n \"platform\": \"Bluesky\",\n \"post_text\": \"Hook-driven post with CTA woven naturally, ending with custom tags: #tag1 #tag2 @mention\",\n \"suggested_hashtags\": [\"#customtag1\", \"#customtag2\", \"#relevant\"],\n \"cta_used\": \"{{ $('Set SMCG Custom Parameters & Settings').item.json.cta }}\",\n \"tone_applied\": \"{{ $('Set SMCG Custom Parameters & Settings').item.json.tone }}\",\n \"goal_applied\": \"{{ $('Set SMCG Custom Parameters & Settings').item.json.goal }}\",\n \"audience_targeted\": \"{{ $('Set SMCG Custom Parameters & Settings').item.json.target_audience }}\",\n \"character_count\": 285,\n \"image_prompt\": \"Descriptive image prompt or null\"\n}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "1d93e90d-914e-4987-b511-439529dad682",
"name": "RSS 源触发器：'#to-share-bluesky'",
"type": "n8n-nodes-base.rssFeedReadTrigger",
"position": [
784,
432
],
"parameters": {
"feedUrl": "https://your-wallabag.instance/feed/wallabag/00000000000000/tags/t:your-tag-here",
"pollTimes": {
"item": [
{
"mode": "everyMinute"
}
]
}
},
"typeVersion": 1
},
{
"id": "ab9052df-b7c0-4833-bf59-e50f495eaa19",
"name": "设置平台（Bluesky）",
"type": "n8n-nodes-base.set",
"position": [
1104,
432
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "b9b8246a-695e-4d14-ace8-f194a0d1fc9f",
"name": "platform",
"type": "string",
"value": "=bluesky"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "f63a70b0-984e-4ebb-bf4a-3ace9f8db7f9",
"name": "存储文章内容（LinkedIn）",
"type": "n8n-nodes-base.airtable",
"position": [
1792,
240
],
"parameters": {
"base": {
"__rl": true,
"mode": "list",
"value": "appobCAkHxBSApdQ3",
"cachedResultUrl": "https://airtable.com/appobCAkHxBSApdQ3",
"cachedResultName": "GetLate n8n Arena Challenge - Wallabag Content Store"
},
"table": {
"__rl": true,
"mode": "list",
"value": "tbl8jsh0nMt3F5mo5",
"cachedResultUrl": "https://airtable.com/appobCAkHxBSApdQ3/tbl8jsh0nMt3F5mo5",
"cachedResultName": "RSS Feed - Content Store"
},
"columns": {
"value": {
"title": "={{ $('RSS Feed Trigger: \\'#to-share-linkedin\\'').item.json.title }}",
"author": "={{ $('RSS Feed Trigger: \\'#to-share-linkedin\\'').item.json.author }}",
"feed_id": "={{ $('RSS Feed Trigger: \\'#to-share-linkedin\\'').item.json.id }}",
"platform": "={{ $('Set Platform (LinkedIn)').item.json.platform.toLowerCase() }}",
"is_posted": 0,
"article_url": "={{ $('RSS Feed Trigger: \\'#to-share-linkedin\\'').item.json.link }}",
"character_count": 0,
"content_markdown": "={{ $json.content_markdown }}"
},
"schema": [
{
"id": "id",
"type": "string",
"display": true,
"removed": true,
"readOnly": true,
"required": false,
"displayName": "id",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "feed_id",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "feed_id",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "article_url",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "article_url",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "title",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "title",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "author",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "author",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "content_markdown",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "content_markdown",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "is_posted",
"type": "number",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "is_posted",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "platform",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "platform",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "post_text",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "post_text",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "suggested_hashtags",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "suggested_hashtags",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "cta_used",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "cta_used",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "tone_applied",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "tone_applied",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "goal_applied",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "goal_applied",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "audience_ targeted",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "audience_ targeted",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "character_count",
"type": "number",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "character_count",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "image_prompt",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "image_prompt",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "image_filename",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "image_filename",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "image_id",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "image_id",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "image_link",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "image_link",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "create"
},
"credentials": {
"airtableTokenApi": {
"id": "D9AiOyADd2P9e8YQ",
"name": "Airtable Personal Access Token account 2"
}
},
"typeVersion": 2.1
},
{
"id": "c9b18bb9-2011-4888-92f1-8d27a759b1a8",
"name": "设置平台（LinkedIn）",
"type": "n8n-nodes-base.set",
"position": [
1104,
240
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "b9b8246a-695e-4d14-ace8-f194a0d1fc9f",
"name": "platform",
"type": "string",
"value": "=linkedin"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "0bfff711-413d-4aad-b7bc-c97ffd8f8ccb",
"name": "RSS 源触发器：'#to-share-linkedin'",
"type": "n8n-nodes-base.rssFeedReadTrigger",
"position": [
784,
240
],
"parameters": {
"feedUrl": "https://your-wallabag.instance/feed/wallabag/00000000000000/tags/t:your-tag-here",
"pollTimes": {
"item": [
{
"mode": "everyMinute"
}
]
}
},
"typeVersion": 1
},
{
"id": "10a20919-e4df-412b-b219-b208d655a543",
"name": "LinkedIn SMCG 提示",
"type": "n8n-nodes-base.set",
"position": [
1872,
1360
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "3a30f765-4dac-4605-8f56-74b2076ece93",
"name": "chatInput",
"type": "string",
"value": "=Role: You are a professional social media content generator specializing in LinkedIn.\n\nTask: Create one optimized LinkedIn post based on the provided article content and user specifications.\n\nInput Data:\n- Niche: {{ $('Set SMCG Custom Parameters & Settings').item.json.niche }}\n- Tone: {{ $('Set SMCG Custom Parameters & Settings').item.json.tone }}\n- Goal: {{ $('Set SMCG Custom Parameters & Settings').item.json.goal }}\n- Call-To-Action (CTA): {{ $('Set SMCG Custom Parameters & Settings').item.json.cta }}\n- Target Audience: {{ $('Set SMCG Custom Parameters & Settings').item.json.target_audience }}\n- Custom Tags: {{ $('Set SMCG Custom Parameters & Settings').item.json.custom_tags }}\n- Needs Image Prompt: {{ $('Set SMCG Custom Parameters & Settings').item.json.generate_image_linkedin }}\n- Article Title: {{ $('Pull New Articles').item.json.title }}\n- Article Author: {{ $('Pull New Articles').item.json.author }}\n- Article Content: {{ $('Pull New Articles').item.json.content_markdown }}\n\nContent Creation Guidelines:\n\n1. LinkedIn Post Structure:\n- Create professional content suitable for {{ $('Set SMCG Custom Parameters & Settings').item.json.niche }} audiences.\n- Length: 1,500-2,000 characters optimal, maximum 3,000 characters.\n- The first 150-200 characters must function as a standalone, high-impact hook designed to stop the scroll and entice the reader to click \"See more.\" This hook should pose a bold question, share a surprising insight, or challenge a common assumption.\n- Place the hook before any line breaks or paragraph spacing it must appear at the very top with no leading whitespace or emojis that might push it past the fold.\n- Follow the hook with 2-3 short, scannable paragraphs separated by line breaks.\n- Include 3-5 relevant hashtags at the end.\n- CRITICAL: After the main content and CTA, append ALL custom tags from the user's \"custom_tags\" input at the very end of the post, ensuring the total character count stays within the 3,000 character limit.\n- Use the user-provided CTA ({{ $('Set SMCG Custom Parameters & Settings').item.json.cta }}) as the core action you want readers to take, and express it naturally within the post using language that matches the specified tone.\n\n2. Content Quality:\n- Focus on valuable insights from the article.\n- Use professional language matching the specified tone.\n- Place the user-provided CTA naturally at or near the end of the post.\n- Include a clear call-to-action aligned with the goal.\n- Pose questions to encourage engagement.\n- Add context or perspective beyond simple article summary.\n- Reserve space at the end to append all user-provided custom tags (hashtags and @mentions).\n\n3. Image Prompt Handling:\n- If \"needs_image_prompt\" is true: Generate a descriptive image prompt that visually represents the article's core concept in a professional style.\n- If \"needs_image_prompt\" is false: Set image_prompt to null.\n- Image prompts should be clear, descriptive, and suitable for general image generation.\n\nOutput Requirements:\n- Return ONLY a valid JSON object with no additional text.\n- Use the exact keys and types specified below:\n - \"platform\": string (always \"LinkedIn\")\n - \"post_text\": string (1500-3000 characters, with engaging hook and ALL custom tags appended at the end)\n - \"suggested_hashtags\": array of strings (3-5 hashtags relevant to the content)\n - \"cta_used\": string (clear call-to-action)\n - \"tone_applied\": string (from input)\n - \"goal_applied\": string (from input)\n - \"audience_targeted\": string (from input)\n - \"character_count\": integer (accurate count of post_text including appended custom tags)\n - \"image_prompt\": string or null (descriptive if needed)\n\nJSON Output Structure:\n\n{\n \"platform\": \"LinkedIn\",\n \"post_text\": \"Hook-driven post with content and CTA, ending with all custom tags appended: #customtag1 #customtag2 @mention\",\n \"suggested_hashtags\": [\"#tag1\", \"#tag2\", \"#tag3\"],\n \"cta_used\": \"{{ $('Set SMCG Custom Parameters & Settings').item.json.cta }}\",\n \"tone_applied\": \"{{ $('Set SMCG Custom Parameters & Settings').item.json.tone }}\",\n \"goal_applied\": \"{{ $('Set SMCG Custom Parameters & Settings').item.json.goal }}\",\n \"audience_targeted\": \"{{ $('Set SMCG Custom Parameters & Settings').item.json.target_audience }}\",\n \"character_count\": 1850,\n \"image_prompt\": \"Descriptive image prompt or null\"\n}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "e9464751-3a9e-4e13-9239-6e1befc7a179",
"name": "便签4",
"type": "n8n-nodes-base.stickyNote",
"position": [
2736,
1248
],
"parameters": {
"width": 1392,
"height": 1088,
"content": "## ⚙️ 配置 Imgbb 和图片生成服务凭据"
},
"typeVersion": 1
},
{
"id": "61f6a0bb-82b1-491b-ba5e-088ad675219d",
"name": "便利贴5",
"type": "n8n-nodes-base.stickyNote",
"position": [
720,
1392
],
"parameters": {
"color": 3,
"height": 304,
"content": "## ⚙️ 定义发布排程"
},
"typeVersion": 1
},
{
"id": "33eb5616-a843-4eba-a475-c1e2c5b9c425",
"name": "便签 6",
"type": "n8n-nodes-base.stickyNote",
"position": [
992,
1392
],
"parameters": {
"color": 4,
"width": 304,
"height": 304,
"content": "## ⚙️ 设置 AI 内容生成器参数和配置"
},
"typeVersion": 1
},
{
"id": "85364747-b049-4c31-b2ac-86dc26bf37c6",
"name": "便签3",
"type": "n8n-nodes-base.stickyNote",
"position": [
2000,
1248
],
"parameters": {
"width": 304,
"height": 1104,
"content": "## ⚙️ 配置 LLM 凭据"
},
"typeVersion": 1
},
{
"id": "8e9c8934-a71b-480a-b715-151b6a0abac3",
"name": "便签 7",
"type": "n8n-nodes-base.stickyNote",
"position": [
720,
128
],
"parameters": {
"width": 656,
"height": 720,
"content": "## ⚙️ 配置源凭据和社交媒体平台"
},
"typeVersion": 1
},
{
"id": "44538b3e-c45d-4122-9edc-4c79732a5693",
"name": "便签8",
"type": "n8n-nodes-base.stickyNote",
"position": [
1616,
128
],
"parameters": {
"width": 448,
"height": 720,
"content": "## ⚙️ 配置 Airtable 凭据"
},
"typeVersion": 1
},
{
"id": "f8b84a38-9cb9-48e4-97df-a1d12940426d",
"name": "通过 GetLate API 发布/草稿（无图片，LinkedIn）",
"type": "n8n-nodes-late.late",
"position": [
2816,
1520
],
"parameters": {
"tags": "={{ $json.suggested_hashtags.join(\", \") }}",
"content": "={{ $json.post_text }}",
"isDraft": "={{ $('Set SMCG Custom Parameters & Settings').item.json.post_as_draft }}",
"resource": "posts",
"operation": "create",
"mediaItems": {
"items": []
},
"publishNow": "={{ ! $('Set SMCG Custom Parameters & Settings').item.json.post_as_draft }}",
"scheduledFor": "={{ $now.toFormat('yyyy-MM-dd HH:mm:ss') }}",
"requestOptions": {},
"linkedinAccounts": [
"68dde73738690b4b9b1929b6"
],
"selectedPlatforms": [
"linkedin"
]
},
"credentials": {
"lateApi": {
"id": "n2J6xMNjaYjvIa9p",
"name": "LATE account"
}
},
"typeVersion": 1
},
{
"id": "1f6b7008-9b63-44e8-a2ba-c549a05ae2a6",
"name": "设置 SMCG 自定义参数和配置",
"type": "n8n-nodes-base.set",
"position": [
1088,
1504
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "f40fcd95-5826-4562-abbf-b0ffac59463a",
"name": "niche",
"type": "string",
"value": "Sustainable fashion"
},
{
"id": "1c4fce50-7c27-4bea-9ea9-35e2e4fef801",
"name": "tone",
"type": "string",
"value": "Friendly, witty, conversational"
},
{
"id": "333f453a-a9c4-4401-adee-73e07ec754fc",
"name": "goal",
"type": "string",
"value": "Spark debate or conversation"
},
{
"id": "62fb7748-1f2e-4c40-ba01-d0d159844f23",
"name": "cta",
"type": "string",
"value": "Leave a comment, visit newsletter"
},
{
"id": "aae1540d-873c-40d4-9326-fda99ccfdf10",
"name": "target_audience",
"type": "string",
"value": "Students, fashion/lifestyle influencer"
},
{
"id": "54adc187-37ef-4005-842f-56d444004889",
"name": "custom_tags",
"type": "string",
"value": "#n8n, #automation"
},
{
"id": "7c18b6f9-2e26-44a0-acc8-904c6e4a311f",
"name": "post_as_draft",
"type": "boolean",
"value": true
},
{
"id": "8037d300-2be0-47cf-8ef8-8314a7ffd089",
"name": "generate_image_bluesky",
"type": "boolean",
"value": true
},
{
"id": "27bd8ac8-747f-4651-acf2-0a3f574310bb",
"name": "generate_image_linkedin",
"type": "boolean",
"value": true
},
{
"id": "e516e735-4146-40c6-a018-dde3db6ed06b",
"name": "bluesky_account_id",
"type": "string",
"value": "{ BLUESKY_ACCOUNT_ID }"
},
{
"id": "b0736923-4372-46c4-bfdf-91f68125d958",
"name": "linkedin_account_id",
"type": "string",
"value": "{ LINKEDIN_ACCOUNT_ID }"
},
{
"id": "24439397-d438-47fc-ab19-b450f57cf6cf",
"name": "instagram_account_id",
"type": "string",
"value": "{ INSTAGRAM_ACCOUNT_ID }"
}
]
}
},
"typeVersion": 3.4,
"alwaysOutputData": false
},
{
"id": "2e346ac6-30cc-472e-b254-9c4235a348b8",
"name": "Instagram SMCG 提示",
"type": "n8n-nodes-base.set",
"position": [
1872,
1936
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "3a30f765-4dac-4605-8f56-74b2076ece93",
"name": "chatInput",
"type": "string",
"value": "=\nRole: You are a professional social media content generator specializing in Instagram.\n\nTask: Create one optimized Instagram post with a single image based on the provided article content and user specifications.\n\nInput Data:\n- Niche: {{ $('Set SMCG Custom Parameters & Settings').item.json.niche }}\n- Tone: {{ $('Set SMCG Custom Parameters & Settings').item.json.tone }}\n- Goal: {{ $('Set SMCG Custom Parameters & Settings').item.json.goal }}\n- Call-To-Action (CTA): {{ $('Set SMCG Custom Parameters & Settings').item.json.cta }}\n- Target Audience: {{ $('Set SMCG Custom Parameters & Settings').item.json.target_audience }}\n- Custom Tags: {{ $('Set SMCG Custom Parameters & Settings').item.json.custom_tags }}\n- Article Title: {{ $('Pull New Articles').item.json.title }}\n- Article Author: {{ $('Pull New Articles').item.json.author }}\n- Article Content: {{ $('Pull New Articles').item.json.content_markdown }}\n\nContent Creation Guidelines:\n\n1. Instagram Post Structure:\n- Create a single, powerful image post (no carousel support)\n- Caption length: 125-200 characters maximum\n- Write as a single paragraph with NO LINE BREAKS - use emojis and punctuation for flow\n- First sentence must be a scroll-stopping hook with emotional appeal\n- Include 1-2 relevant emojis maximum to maintain clean appearance\n- Focus on one key takeaway that complements a single strong visual\n- Use the user-provided CTA ({{ $('Set SMCG Custom Parameters & Settings').item.json.cta }}) as the core action you want readers to take, and express it naturally within the post using language that matches the specified tone.\n- CRITICAL: After the main content and CTA, append ALL custom tags from the user's \"custom_tags\" input at the very end of the post, ensuring the total character count stays within the 200 character limit.\n\n2. Content Quality:\n- Extract the most visually compelling aspect that can be represented in one image\n- Use conversational, authentic language that matches Instagram's tone\n- Place the user-provided CTA naturally at or near the end of the post.\n- Include a clear call-to-action for engagement (comments, saves, link clicks)\n- Create curiosity and emotional connection in a single continuous paragraph\n- Ensure the caption flows naturally without line breaks or paragraph separation\n- Reserve character space to append all user-provided custom tags at the end.\n\n3. Hashtag Strategy:\n- suggested_hashtags: 3-5 hashtags for first comment (include all custom tags from user)\n- Mix of niche-specific and community engagement hashtags\n- No hashtags in the main caption text EXCEPT for the custom tags appended at the very end\n\n4. Image Prompt Handling:\n- Generate ONE comprehensive image prompt that captures the essence of the article\n- Focus on a single compelling visual that tells the story\n- Include specific details: composition, mood, lighting, style, and key elements\n- Optimize for Instagram feed performance and scroll-stopping impact\n\nOutput Requirements:\n- Return ONLY a valid JSON object with no additional text.\n- Use the exact keys and types specified below:\n\nJSON Output Structure:\n\n{\n \"platform\": \"Instagram\",\n \"post_text\": \"Single paragraph with no line breaks using emojis strategically within continuous flow ending with custom tags: #tag1 #tag2\",\n \"suggested_hashtags\": [\"#customtag1\", \"#customtag2\", \"#niche\", \"#community\"],\n \"cta_used\": \"{{ $('Set SMCG Custom Parameters & Settings').item.json.cta }}\",\n \"tone_applied\": \"{{ $('Set SMCG Custom Parameters & Settings').item.json.tone }}\",\n \"goal_applied\": \"{{ $('Set SMCG Custom Parameters & Settings').item.json.goal }}\",\n \"audience_targeted\": \"{{ $('Set SMCG Custom Parameters & Settings').item.json.target_audience }}\",\n \"character_count\": 145,\n \"image_prompt\": \"Single compelling image: [detailed description of one powerful visual]\"\n}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "1615455c-644b-4ce0-8935-c26dd4ab1274",
"name": "Instagram SMCG",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
2048,
1936
],
"parameters": {
"batching": {}
},
"typeVersion": 1.7
},
{
"id": "a7212bf7-e7f3-4009-84b1-22b2e20093e7",
"name": "检查图片提示（Bluesky）",
"type": "n8n-nodes-base.if",
"position": [
2576,
1664
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "a729b165-a3f6-461c-bf55-90d34cd32db4",
"operator": {
"type": "string",
"operation": "notEmpty",
"singleValue": true
},
"leftValue": "={{ $json.image_prompt }}",
"rightValue": ""
}
]
}
},
"typeVersion": 2.2
},
{
"id": "dbc93362-8252-42ab-8486-4a602ab5e050",
"name": "检查图片提示（LinkedIn）",
"type": "n8n-nodes-base.if",
"position": [
2576,
1360
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "a729b165-a3f6-461c-bf55-90d34cd32db4",
"operator": {
"type": "string",
"operation": "notEmpty",
"singleValue": true
},
"leftValue": "=",
"rightValue": ""
}
]
}
},
"typeVersion": 2.2
},
{
"id": "98cb7f0f-afab-44c2-9d88-57698c6a623f",
"name": "通过 GetLate API 发布/草稿（LinkedIn）",
"type": "n8n-nodes-late.late",
"position": [
3456,
1344
],
"parameters": {
"tags": "={{ $('LinkedIn SMCG').item.json.output.suggested_hashtags.join(\" \") }}",
"content": "={{ $('LinkedIn SMCG').item.json.output.post_text }}",
"isDraft": "={{ $('Set SMCG Custom Parameters & Settings').item.json.post_as_draft }}",
"resource": "posts",
"operation": "create",
"mediaItems": {
"items": []
},
"publishNow": "={{ ! $('Set SMCG Custom Parameters & Settings').item.json.post_as_draft }}",
"requestOptions": {},
"linkedinAccounts": [
"68dde73738690b4b9b1929b6"
],
"selectedPlatforms": [
"linkedin"
]
},
"credentials": {
"lateApi": {
"id": "n2J6xMNjaYjvIa9p",
"name": "LATE account"
}
},
"typeVersion": 1
},
{
"id": "787ee4dc-4927-45f2-8531-ca6361866e12",
"name": "拉取新文章",
"type": "n8n-nodes-base.airtable",
"position": [
1344,
1504
],
"parameters": {
"base": {
"__rl": true,
"mode": "list",
"value": "appobCAkHxBSApdQ3",
"cachedResultUrl": "https://airtable.com/appobCAkHxBSApdQ3",
"cachedResultName": "RSS Feed Store - Wallabag RSS Feed Aggregator"
},
"table": {
"__rl": true,
"mode": "list",
"value": "tbl8jsh0nMt3F5mo5",
"cachedResultUrl": "https://airtable.com/appobCAkHxBSApdQ3/tbl8jsh0nMt3F5mo5",
"cachedResultName": "RSS Feed - Content Store"
},
"options": {
"view": {
"__rl": true,
"mode": "list",
"value": "viwzBm6hokiAHlXTp",
"cachedResultUrl": "https://airtable.com/appobCAkHxBSApdQ3/tbl8jsh0nMt3F5mo5/viwzBm6hokiAHlXTp",
"cachedResultName": "Grid view"
},
"fields": [
"id",
"feed_id",
"title",
"author",
"content_markdown",
"is_posted",
"platform",
"post_text",
"suggested_hashtags",
"cta_used",
"tone_applied",
"goal_applied",
"audience_ targeted",
"character_count",
"image_prompt",
"image_id",
"image_filename",
"image_link",
"article_url"
]
},
"operation": "search",
"filterByFormula": "is_posted=0"
},
"credentials": {
"airtableTokenApi": {
"id": "CebUWyzJFFDQNNfZ",
"name": "Airtable Personal Access Token account"
}
},
"typeVersion": 2.1,
"alwaysOutputData": false
},
{
"id": "0cf88e2a-8200-402f-9a28-401a56ca3029",
"name": "转换为 Base64（Bluesky）",
"type": "n8n-nodes-base.code",
"position": [
3232,
1728
],
"parameters": {
"jsCode": "// The image data (binary) is the raw response body (i.e. base64 encoded string)\nreturn {\n image_data: $input.all(),\n};"
},
"typeVersion": 2
},
{
"id": "9480fb73-6fbc-4e08-9b4b-50cb164b3653",
"name": "转换为 Base64（LinkedIn）",
"type": "n8n-nodes-base.code",
"position": [
3040,
1344
],
"parameters": {
"jsCode": "// The image data (binary) is the raw response body (i.e. base64 encoded string)\nreturn {\n image_data: $input.all(),\n};"
},
"typeVersion": 2
},
{
"id": "352b458b-5a3a-4a96-8aca-fe7f1f840208",
"name": "在 Imgbb 存储图片（Bluesky）",
"type": "n8n-nodes-base.httpRequest",
"position": [
3424,
1728
],
"parameters": {
"url": "https://api.imgbb.com/1/upload",
"method": "POST",
"options": {},
"sendBody": true,
"sendQuery": true,
"contentType": "multipart-form-data",
"authentication": "genericCredentialType",
"bodyParameters": {
"parameters": [
{
"name": "image",
"value": "={{ $('Convert to Base64 (Bluesky)').item.json.image_data[0].binary.data.data }}"
}
]
},
"genericAuthType": "httpQueryAuth",
"queryParameters": {
"parameters": [
{
"name": "name",
"value": "={{ $('Pull New Articles').item.json.createdTime }}-{{ $('Pull New Articles').item.json.id }}-{{ $('Pull New Articles').item.json.platform.toLowerCase() }}"
}
]
}
},
"credentials": {
"httpQueryAuth": {
"id": "pT3TEBbPhLosrjma",
"name": "Query Auth account - Imgbb"
},
"httpBearerAuth": {
"id": "gv5zYpvHHxYv727R",
"name": "Bearer YOUR_TOKEN_HERE account - Hugging Face"
}
},
"typeVersion": 4.2
},
{
"id": "9f305a00-fa02-44e3-ac57-a5ce4a37afe0",
"name": "存储生成的帖子内容（Bluesky）",
"type": "n8n-nodes-base.airtable",
"position": [
3856,
1728
],
"parameters": {
"base": {
"__rl": true,
"mode": "list",
"value": "appobCAkHxBSApdQ3",
"cachedResultUrl": "https://airtable.com/appobCAkHxBSApdQ3",
"cachedResultName": "RSS Feed Store - Wallabag RSS Feed Aggregator"
},
"table": {
"__rl": true,
"mode": "list",
"value": "tbl8jsh0nMt3F5mo5",
"cachedResultUrl": "https://airtable.com/appobCAkHxBSApdQ3/tbl8jsh0nMt3F5mo5",
"cachedResultName": "RSS Feed - Content Store"
},
"columns": {
"value": {
"id": "={{ $('Pull New Articles').item.json.id }}",
"cta_used": "={{ $('Validate JSON (Bluesky)').item.json.cta_used }}",
"image_id": "={{ $('Store Image on Imgbb (Bluesky)').item.json.data.id }}",
"is_posted": 1,
"post_text": "={{ $('Validate JSON (Bluesky)').item.json.post_text }}",
"image_link": "={{ $('Store Image on Imgbb (Bluesky)').item.json.data.image.url }}",
"article_url": "={{ $('Pull New Articles').item.json.article_url }}",
"goal_applied": "={{ $('Validate JSON (Bluesky)').item.json.goal_applied }}",
"image_prompt": "={{ $('Validate JSON (Bluesky)').item.json.image_prompt }}",
"tone_applied": "={{ $('Validate JSON (Bluesky)').item.json.tone_applied }}",
"image_filename": "={{ $('Store Image on Imgbb (Bluesky)').item.json.data.title }}",
"character_count": "={{ $('Validate JSON (Bluesky)').item.json.character_count }}",
"audience_ targeted": "={{ $('Validate JSON (Bluesky)').item.json.audience_targeted }}",
"suggested_hashtags": "={{ $('Validate JSON (Bluesky)').item.json.suggested_hashtags.join(', ') }}"
},
"schema": [
{
"id": "id",
"type": "string",
"display": true,
"removed": false,
"readOnly": true,
"required": false,
"displayName": "id",
"defaultMatch": true
},
{
"id": "id",
"type": "string",
"display": true,
"removed": false,
"readOnly": true,
"required": false,
"displayName": "id",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "feed_id",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "feed_id",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "article_url",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "article_url",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "title",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "title",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "author",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "author",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "content_markdown",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "content_markdown",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "is_posted",
"type": "number",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "is_posted",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "platform",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "platform",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "post_text",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "post_text",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "suggested_hashtags",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "suggested_hashtags",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "cta_used",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "cta_used",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "tone_applied",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "tone_applied",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "goal_applied",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "goal_applied",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "audience_ targeted",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "audience_ targeted",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "character_count",
"type": "number",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "character_count",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "image_prompt",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "image_prompt",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "image_filename",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "image_filename",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "image_id",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "image_id",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "image_link",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "image_link",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"id"
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "upsert"
},
"credentials": {
"airtableTokenApi": {
"id": "D9AiOyADd2P9e8YQ",
"name": "Airtable Personal Access Token account 2"
}
},
"typeVersion": 2.1
},
{
"id": "705a8394-7a11-499b-98d8-0e7bbc3ff852",
"name": "存储生成的帖子内容（无图片，Bluesky）",
"type": "n8n-nodes-base.airtable",
"position": [
3040,
1904
],
"parameters": {
"base": {
"__rl": true,
"mode": "list",
"value": "appobCAkHxBSApdQ3",
"cachedResultUrl": "https://airtable.com/appobCAkHxBSApdQ3",
"cachedResultName": "GetLate n8n Arena Challenge - Wallabag Content Store"
},
"table": {
"__rl": true,
"mode": "list",
"value": "tbl8jsh0nMt3F5mo5",
"cachedResultUrl": "https://airtable.com/appobCAkHxBSApdQ3/tbl8jsh0nMt3F5mo5",
"cachedResultName": "RSS Feed - Content Store"
},
"columns": {
"value": {
"id": "={{ $('Pull New Articles').item.json.id }}",
"cta_used": "={{ $('Validate JSON (Bluesky)').item.json.cta_used }}",
"is_posted": 1,
"post_text": "={{ $('Validate JSON (Bluesky)').item.json.post_text }}",
"article_url": "={{ $('Pull New Articles').item.json.article_url }}",
"goal_applied": "={{ $('Validate JSON (Bluesky)').item.json.goal_applied }}",
"image_prompt": "={{ $('Validate JSON (Bluesky)').item.json.image_prompt }}",
"tone_applied": "={{ $('Validate JSON (Bluesky)').item.json.tone_applied }}",
"character_count": "={{ $('Validate JSON (Bluesky)').item.json.character_count }}",
"audience_ targeted": "={{ $('Validate JSON (Bluesky)').item.json.audience_targeted }}",
"suggested_hashtags": "={{ $('Validate JSON (Bluesky)').item.json.suggested_hashtags.join(', ') }}"
},
"schema": [
{
"id": "id",
"type": "string",
"display": true,
"removed": false,
"readOnly": true,
"required": false,
"displayName": "id",
"defaultMatch": true
},
{
"id": "id",
"type": "string",
"display": true,
"removed": false,
"readOnly": true,
"required": false,
"displayName": "id",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "feed_id",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "feed_id",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "article_url",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "article_url",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "title",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "title",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "author",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "author",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "content_markdown",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "content_markdown",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "is_posted",
"type": "number",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "is_posted",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "platform",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "platform",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "post_text",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "post_text",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "suggested_hashtags",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "suggested_hashtags",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "cta_used",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "cta_used",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "tone_applied",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "tone_applied",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "goal_applied",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "goal_applied",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "audience_ targeted",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "audience_ targeted",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "character_count",
"type": "number",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "character_count",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "image_prompt",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "image_prompt",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "image_filename",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "image_filename",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "image_id",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "image_id",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "image_link",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "image_link",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"id"
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "upsert"
},
"credentials": {
"airtableTokenApi": {
"id": "CebUWyzJFFDQNNfZ",
"name": "Airtable Personal Access Token account"
}
},
"typeVersion": 2.1
},
{
"id": "7dc2d352-4eb9-4d6b-8853-98317f9a40f6",
"name": "验证 JSON（Instagram）",
"type": "n8n-nodes-base.code",
"position": [
2368,
1936
],
"parameters": {
"jsCode": "// n8n Function Node: Manual JSON Parser & Validator\nconst raw = $input.first().json.text;\n\n// Handle case where LLM returns a string (common if JSON is malformed)\nlet data;\nif (typeof raw === 'string') {\n try {\n // Try to parse JSON, including handling common LLM formatting issues\n const cleanedRaw = raw\n .replace(/(\\w)'(\\w)/g, '$1\\'$2') // Fix unescaped quotes in words\n .replace(/,\\s*}/g, '}') // Remove trailing commas\n .replace(/,\\s*]/g, ']'); // Remove trailing commas in arrays\n \n data = JSON.parse(cleanedRaw);\n } catch (e) {\n throw new Error(`LLM did not return valid JSON. Output: ${raw}`);\n }\n} else if (typeof raw === 'object' && raw !== null) {\n // n8n already parsed it as JSON object\n data = { ...raw };\n} else {\n throw new Error(`Unexpected LLM output type: ${typeof raw}`);\n}\n\n// --- Validation & Correction ---\nconst requiredFields = [\n 'platform', 'post_text', 'suggested_hashtags',\n 'cta_used', 'tone_applied', 'goal_applied',\n 'audience_targeted', 'image_prompt'\n];\n\n// Check for missing fields - CRITICAL ERROR\nfor (const field of requiredFields) {\n if (!(field in data)) {\n throw new Error(`Missing required field: ${field}`);\n }\n}\n\n// Ensure post_text is string - CRITICAL ERROR\nif (typeof data.post_text !== 'string') {\n throw new Error('post_text must be a string');\n}\n\n// Auto-correct character_count (most reliable approach!)\nconst actualCount = data.post_text.length;\n// Optional: warn if LLM provided a different count\nif (typeof data.character_count !== 'undefined' && data.character_count !== actualCount) {\n console.log(`⚠️ LLM reported character_count=${data.character_count}, but actual is ${actualCount}. Using actual.`);\n}\ndata.character_count = actualCount;\n\n// Validate and fix hashtags - AUTO-FIX MINOR ISSUES\nif (!Array.isArray(data.suggested_hashtags)) {\n // Try to convert to array if it's a string\n if (typeof data.suggested_hashtags === 'string') {\n console.log('⚠️ suggested_hashtags was a string, converting to array');\n data.suggested_hashtags = data.suggested_hashtags.split(',').map(tag => tag.trim());\n } else {\n throw new Error('suggested_hashtags must be an array');\n }\n}\n\n// Fix hashtags by ensuring they all start with # and are valid\ndata.suggested_hashtags = data.suggested_hashtags\n .map(tag => {\n if (typeof tag !== 'string') {\n // Try to convert non-string values\n if (tag === null || tag === undefined) {\n console.log('⚠️ Found null/undefined hashtag, removing');\n return null;\n }\n console.log(`⚠️ Converting non-string hashtag: ${tag}`);\n tag = String(tag);\n }\n \n // Remove any existing # and add a new one to ensure proper formatting\n const cleanTag = tag.replace(/^#+/, '').trim();\n \n // Skip empty tags\n if (!cleanTag) {\n console.log('⚠️ Found empty hashtag, removing');\n return null;\n }\n \n // Add # prefix\n return `#${cleanTag}`;\n })\n .filter(tag => tag !== null) // Remove null entries\n .filter(tag => tag.length <= 30) // Remove overly long hashtags\n .slice(0, 30); // Limit to 30 hashtags maximum\n\n// Ensure we still have some hashtags after cleaning\nif (data.suggested_hashtags.length === 0) {\n console.log('⚠️ No valid hashtags found after cleaning, using fallback');\n data.suggested_hashtags = ['#socialmedia'];\n}\n\n// Ensure image_prompt is null or string - AUTO-FIX\nif (data.image_prompt === undefined) {\n data.image_prompt = null;\n} else if (data.image_prompt !== null && typeof data.image_prompt !== 'string') {\n console.log(`⚠️ Converting image_prompt from ${typeof data.image_prompt} to string`);\n data.image_prompt = String(data.image_prompt);\n}\n\n// Clean up string fields - AUTO-FIX MINOR ISSUES\nconst stringFields = ['post_text', 'cta_used', 'tone_applied', 'goal_applied', 'audience_targeted'];\nstringFields.forEach(field => {\n if (data[field] && typeof data[field] !== 'string') {\n console.log(`⚠️ Converting ${field} from ${typeof data[field]} to string`);\n data[field] = String(data[field]);\n }\n \n // Trim whitespace from string fields\n if (typeof data[field] === 'string') {\n data[field] = data[field].trim();\n }\n});\n\n// Platform validation with case-insensitive matching - AUTO-FIX CASE ISSUES\nconst allowedPlatforms = [\n 'facebook', 'instagram', 'linkedin', 'twitter', \n 'threads', 'tiktok', 'youtube', 'pinterest', \n 'reddit', 'bluesky'\n];\n\n// Convert platform to lowercase for comparison\nconst platformLower = data.platform.toLowerCase().trim();\nconst matchedPlatform = allowedPlatforms.find(p => p.toLowerCase() === platformLower);\n\nif (!matchedPlatform) {\n throw new Error(`Unsupported platform: ${data.platform}. Allowed platforms: ${allowedPlatforms.join(', ')}`);\n}\n\n// Use the properly cased platform name\nif (data.platform !== matchedPlatform) {\n console.log(`⚠️ Normalizing platform name from \"${data.platform}\" to \"${matchedPlatform}\"`);\n data.platform = matchedPlatform;\n}\n\n// Validate field lengths - WARN BUT DON'T ERROR\nif (data.post_text.length > 280 && ['twitter', 'x'].includes(data.platform)) {\n console.log('⚠️ Post text exceeds 280 characters for Twitter/X platform');\n}\n\nif (data.post_text.length > 2000 && data.platform === 'linkedin') {\n console.log('⚠️ Post text exceeds 2000 characters for LinkedIn');\n}\n\n// Remove any extra fields that might cause issues\nconst allowedFields = [...requiredFields, 'character_count'];\nObject.keys(data).forEach(key => {\n if (!allowedFields.includes(key)) {\n console.log(`⚠️ Removing unexpected field: ${key}`);\n delete data[key];\n }\n});\n\n// Final validation - CRITICAL CHECKS\nif (data.post_text.trim().length === 0) {\n throw new Error('post_text cannot be empty after trimming');\n}\n\nif (data.suggested_hashtags.length === 0) {\n throw new Error('No valid hashtags remain after processing');\n}\n\nconsole.log('✅ Validation completed successfully with auto-fixes applied');\nreturn { json: data };"
},
"typeVersion": 2
},
{
"id": "24efeb63-f997-4341-ba15-87032ad04556",
"name": "验证 JSON（Bluesky）",
"type": "n8n-nodes-base.code",
"position": [
2368,
1664
],
"parameters": {
"jsCode": "// n8n Function Node: Manual JSON Parser & Validator\nconst raw = $input.first().json.text;\n\n// Handle case where LLM returns a string (common if JSON is malformed)\nlet data;\nif (typeof raw === 'string') {\n try {\n // Try to parse JSON, including handling common LLM formatting issues\n const cleanedRaw = raw\n .replace(/(\\w)'(\\w)/g, '$1\\'$2') // Fix unescaped quotes in words\n .replace(/,\\s*}/g, '}') // Remove trailing commas\n .replace(/,\\s*]/g, ']'); // Remove trailing commas in arrays\n \n data = JSON.parse(cleanedRaw);\n } catch (e) {\n throw new Error(`LLM did not return valid JSON. Output: ${raw}`);\n }\n} else if (typeof raw === 'object' && raw !== null) {\n // n8n already parsed it as JSON object\n data = { ...raw };\n} else {\n throw new Error(`Unexpected LLM output type: ${typeof raw}`);\n}\n\n// --- Validation & Correction ---\nconst requiredFields = [\n 'platform', 'post_text', 'suggested_hashtags',\n 'cta_used', 'tone_applied', 'goal_applied',\n 'audience_targeted', 'image_prompt'\n];\n\n// Check for missing fields - CRITICAL ERROR\nfor (const field of requiredFields) {\n if (!(field in data)) {\n throw new Error(`Missing required field: ${field}`);\n }\n}\n\n// Ensure post_text is string - CRITICAL ERROR\nif (typeof data.post_text !== 'string') {\n throw new Error('post_text must be a string');\n}\n\n// Auto-correct character_count (most reliable approach!)\nconst actualCount = data.post_text.length;\n// Optional: warn if LLM provided a different count\nif (typeof data.character_count !== 'undefined' && data.character_count !== actualCount) {\n console.log(`⚠️ LLM reported character_count=${data.character_count}, but actual is ${actualCount}. Using actual.`);\n}\ndata.character_count = actualCount;\n\n// Validate and fix hashtags - AUTO-FIX MINOR ISSUES\nif (!Array.isArray(data.suggested_hashtags)) {\n // Try to convert to array if it's a string\n if (typeof data.suggested_hashtags === 'string') {\n console.log('⚠️ suggested_hashtags was a string, converting to array');\n data.suggested_hashtags = data.suggested_hashtags.split(',').map(tag => tag.trim());\n } else {\n throw new Error('suggested_hashtags must be an array');\n }\n}\n\n// Fix hashtags by ensuring they all start with # and are valid\ndata.suggested_hashtags = data.suggested_hashtags\n .map(tag => {\n if (typeof tag !== 'string') {\n // Try to convert non-string values\n if (tag === null || tag === undefined) {\n console.log('⚠️ Found null/undefined hashtag, removing');\n return null;\n }\n console.log(`⚠️ Converting non-string hashtag: ${tag}`);\n tag = String(tag);\n }\n \n // Remove any existing # and add a new one to ensure proper formatting\n const cleanTag = tag.replace(/^#+/, '').trim();\n \n // Skip empty tags\n if (!cleanTag) {\n console.log('⚠️ Found empty hashtag, removing');\n return null;\n }\n \n // Add # prefix\n return `#${cleanTag}`;\n })\n .filter(tag => tag !== null) // Remove null entries\n .filter(tag => tag.length <= 30) // Remove overly long hashtags\n .slice(0, 30); // Limit to 30 hashtags maximum\n\n// Ensure we still have some hashtags after cleaning\nif (data.suggested_hashtags.length === 0) {\n console.log('⚠️ No valid hashtags found after cleaning, using fallback');\n data.suggested_hashtags = ['#socialmedia'];\n}\n\n// Ensure image_prompt is null or string - AUTO-FIX\nif (data.image_prompt === undefined) {\n data.image_prompt = null;\n} else if (data.image_prompt !== null && typeof data.image_prompt !== 'string') {\n console.log(`⚠️ Converting image_prompt from ${typeof data.image_prompt} to string`);\n data.image_prompt = String(data.image_prompt);\n}\n\n// Clean up string fields - AUTO-FIX MINOR ISSUES\nconst stringFields = ['post_text', 'cta_used', 'tone_applied', 'goal_applied', 'audience_targeted'];\nstringFields.forEach(field => {\n if (data[field] && typeof data[field] !== 'string') {\n console.log(`⚠️ Converting ${field} from ${typeof data[field]} to string`);\n data[field] = String(data[field]);\n }\n \n // Trim whitespace from string fields\n if (typeof data[field] === 'string') {\n data[field] = data[field].trim();\n }\n});\n\n// Platform validation with case-insensitive matching - AUTO-FIX CASE ISSUES\nconst allowedPlatforms = [\n 'facebook', 'instagram', 'linkedin', 'twitter', \n 'threads', 'tiktok', 'youtube', 'pinterest', \n 'reddit', 'bluesky'\n];\n\n// Convert platform to lowercase for comparison\nconst platformLower = data.platform.toLowerCase().trim();\nconst matchedPlatform = allowedPlatforms.find(p => p.toLowerCase() === platformLower);\n\nif (!matchedPlatform) {\n throw new Error(`Unsupported platform: ${data.platform}. Allowed platforms: ${allowedPlatforms.join(', ')}`);\n}\n\n// Use the properly cased platform name\nif (data.platform !== matchedPlatform) {\n console.log(`⚠️ Normalizing platform name from \"${data.platform}\" to \"${matchedPlatform}\"`);\n data.platform = matchedPlatform;\n}\n\n// Validate field lengths - WARN BUT DON'T ERROR\nif (data.post_text.length > 280 && ['twitter', 'x'].includes(data.platform)) {\n console.log('⚠️ Post text exceeds 280 characters for Twitter/X platform');\n}\n\nif (data.post_text.length > 2000 && data.platform === 'linkedin') {\n console.log('⚠️ Post text exceeds 2000 characters for LinkedIn');\n}\n\n// Remove any extra fields that might cause issues\nconst allowedFields = [...requiredFields, 'character_count'];\nObject.keys(data).forEach(key => {\n if (!allowedFields.includes(key)) {\n console.log(`⚠️ Removing unexpected field: ${key}`);\n delete data[key];\n }\n});\n\n// Final validation - CRITICAL CHECKS\nif (data.post_text.trim().length === 0) {\n throw new Error('post_text cannot be empty after trimming');\n}\n\nif (data.suggested_hashtags.length === 0) {\n throw new Error('No valid hashtags remain after processing');\n}\n\nconsole.log('✅ Validation completed successfully with auto-fixes applied');\nreturn { json: data };"
},
"typeVersion": 2
},
{
"id": "c30b0c4b-d6be-4463-9177-9e0f1eb65279",
"name": "便签11",
"type": "n8n-nodes-base.stickyNote",
"position": [
2352,
2112
],
"parameters": {
"color": 7,
"content": "# 💡 注意"
},
"typeVersion": 1
},
{
"id": "249b5049-b899-41ee-a7cc-181614637689",
"name": "生成帖子图片（Instagram）",
"type": "n8n-nodes-base.httpRequest",
"position": [
2816,
2112
],
"parameters": {
"url": "https://api-inference.huggingface.co/models/stabilityai/stable-diffusion-xl-base-1.0",
"method": "POST",
"options": {
"response": {
"response": {
"fullResponse": true
}
}
},
"sendBody": true,
"sendHeaders": true,
"authentication": "genericCredentialType",
"bodyParameters": {
"parameters": [
{
"name": "inputs",
"value": "={{ $json.image_prompt }}"
}
]
},
"genericAuthType": "httpBearerAuth",
"headerParameters": {
"parameters": [
{
"name": "accept",
"value": "image/png"
}
]
}
},
"credentials": {
"httpBearerAuth": {
"id": "gv5zYpvHHxYv727R",
"name": "Bearer YOUR_TOKEN_HERE account - Hugging Face"
}
},
"typeVersion": 4.2
},
{
"id": "5ba6d2f9-0339-4447-845a-470271278e5f",
"name": "转换为 Base64（Instagram）",
"type": "n8n-nodes-base.code",
"position": [
3040,
2112
],
"parameters": {
"jsCode": "// The image data (binary) is the raw response body (i.e. base64 encoded string)\nreturn {\n image_data: $input.all(),\n};"
},
"typeVersion": 2
},
{
"id": "5406e23c-5956-42d8-8072-b6e7eb6aceeb",
"name": "在 Imgbb 存储图片（Instagram）",
"type": "n8n-nodes-base.httpRequest",
"position": [
3248,
2112
],
"parameters": {
"url": "https://api.imgbb.com/1/upload",
"method": "POST",
"options": {},
"sendBody": true,
"sendQuery": true,
"contentType": "multipart-form-data",
"authentication": "genericCredentialType",
"bodyParameters": {
"parameters": [
{
"name": "image",
"value": "={{ $('Convert to Base64 (Instagram)').item.json.image_data[0].binary.data.data }}"
}
]
},
"genericAuthType": "httpQueryAuth",
"queryParameters": {
"parameters": [
{
"name": "name",
"value": "={{ $('Pull New Articles').item.json.createdTime }}-{{ $('Pull New Articles').item.json.id }}-{{ $('Pull New Articles').item.json.platform.toLowerCase() }}"
}
]
}
},
"credentials": {
"httpQueryAuth": {
"id": "pT3TEBbPhLosrjma",
"name": "Query Auth account - Imgbb"
},
"httpBearerAuth": {
"id": "gv5zYpvHHxYv727R",
"name": "Bearer YOUR_TOKEN_HERE account - Hugging Face"
}
},
"typeVersion": 4.2
},
{
"id": "1aba2006-5f47-4880-82ac-575467870802",
"name": "存储生成的帖子内容（Instagram）",
"type": "n8n-nodes-base.airtable",
"position": [
3680,
2112
],
"parameters": {
"base": {
"__rl": true,
"mode": "list",
"value": "appobCAkHxBSApdQ3",
"cachedResultUrl": "https://airtable.com/appobCAkHxBSApdQ3",
"cachedResultName": "RSS Feed Store - Wallabag RSS Feed Aggregator"
},
"table": {
"__rl": true,
"mode": "list",
"value": "tbl8jsh0nMt3F5mo5",
"cachedResultUrl": "https://airtable.com/appobCAkHxBSApdQ3/tbl8jsh0nMt3F5mo5",
"cachedResultName": "RSS Feed - Content Store"
},
"columns": {
"value": {
"id": "={{ $('Pull New Articles').item.json.id }}",
"cta_used": "={{ $('Validate JSON (Instagram)').item.json.cta_used }}",
"image_id": "={{ $('Store Image on Imgbb (Instagram)').item.json.data.id }}",
"is_posted": 1,
"post_text": "={{ $('Validate JSON (Instagram)').item.json.post_text }}",
"image_link": "={{ $('Store Image on Imgbb (Instagram)').item.json.data.image.url }}",
"article_url": "={{ $('Pull New Articles').item.json.article_url }}",
"goal_applied": "={{ $('Validate JSON (Instagram)').item.json.goal_applied }}",
"image_prompt": "={{ $('Validate JSON (Instagram)').item.json.image_prompt }}",
"tone_applied": "={{ $('Validate JSON (Instagram)').item.json.tone_applied }}",
"image_filename": "={{ $('Store Image on Imgbb (Instagram)').item.json.data.title }}",
"character_count": "={{ $('Validate JSON (Instagram)').item.json.character_count }}",
"audience_ targeted": "={{ $('Validate JSON (Instagram)').item.json.audience_targeted }}",
"suggested_hashtags": "={{ $('Validate JSON (Instagram)').item.json.suggested_hashtags.join(', ') }}"
},
"schema": [
{
"id": "id",
"type": "string",
"display": true,
"removed": false,
"readOnly": true,
"required": false,
"displayName": "id",
"defaultMatch": true
},
{
"id": "id",
"type": "string",
"display": true,
"removed": false,
"readOnly": true,
"required": false,
"displayName": "id",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "feed_id",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "feed_id",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "article_url",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "article_url",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "title",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "title",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "author",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "author",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "content_markdown",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "content_markdown",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "is_posted",
"type": "number",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "is_posted",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "platform",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "platform",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "post_text",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "post_text",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "suggested_hashtags",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "suggested_hashtags",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "cta_used",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "cta_used",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "tone_applied",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "tone_applied",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "goal_applied",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "goal_applied",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "audience_ targeted",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "audience_ targeted",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "character_count",
"type": "number",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "character_count",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "image_prompt",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "image_prompt",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "image_filename",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "image_filename",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "image_id",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "image_id",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "image_link",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "image_link",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"id"
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "upsert"
},
"credentials": {
"airtableTokenApi": {
"id": "D9AiOyADd2P9e8YQ",
"name": "Airtable Personal Access Token account 2"
}
},
"typeVersion": 2.1
},
{
"id": "37c9f0b3-d609-4934-8a44-80a2fef07acd",
"name": "通过 GetLate API 发布/草稿（Instagram）",
"type": "n8n-nodes-late.late",
"position": [
3472,
2112
],
"parameters": {
"tags": "={{ $('Validate JSON (Instagram)').item.json.suggested_hashtags.join(\", \") }}",
"content": "={{ $('Validate JSON (Instagram)').item.json.post_text }}",
"isDraft": "={{ $('Set SMCG Custom Parameters & Settings').item.json.post_as_draft }}",
"resource": "posts",
"operation": "create",
"mediaItems": {
"items": [
{
"url": "={{ $json.data.url }}",
"filename": "={{ $json.data.title }}"
}
]
},
"publishNow": "={{ ! $('Set SMCG Custom Parameters & Settings').item.json.post_as_draft }}",
"requestOptions": {},
"instagramAccounts": [
"68dde71338690b4b9b1929b5"
],
"selectedPlatforms": [
"instagram"
]
},
"credentials": {
"lateApi": {
"id": "n2J6xMNjaYjvIa9p",
"name": "LATE account"
}
},
"typeVersion": 1
},
{
"id": "44dd2d52-5ca5-4d52-8c47-46f4e98d0ccf",
"name": "Groq 聊天模型（Bluesky）",
"type": "@n8n/n8n-nodes-langchain.lmChatGroq",
"position": [
2048,
1792
],
"parameters": {
"model": "moonshotai/kimi-k2-instruct-0905",
"options": {}
},
"credentials": {
"groqApi": {
"id": "Ec5dvu0WVN8oVpaW",
"name": "Groq account"
}
},
"typeVersion": 1
},
{
"id": "2bc19172-391d-4a85-8bcd-4c02a146f94d",
"name": "Groq 聊天模型（LinkedIn）",
"type": "@n8n/n8n-nodes-langchain.lmChatGroq",
"position": [
2048,
1488
],
"parameters": {
"model": "moonshotai/kimi-k2-instruct-0905",
"options": {}
},
"credentials": {
"groqApi": {
"id": "Ec5dvu0WVN8oVpaW",
"name": "Groq account"
}
},
"typeVersion": 1
},
{
"id": "a44f4692-77d8-4101-939e-dec36bff2aee",
"name": "Groq 聊天模型（Instagram）",
"type": "@n8n/n8n-nodes-langchain.lmChatGroq",
"position": [
2048,
2064
],
"parameters": {
"model": "moonshotai/kimi-k2-instruct-0905",
"options": {}
},
"credentials": {
"groqApi": {
"id": "Ec5dvu0WVN8oVpaW",
"name": "Groq account"
}
},
"typeVersion": 1
},
{
"id": "fce2ecbe-074a-4b1e-b9e2-27cbd7f0adae",
"name": "验证 JSON（LinkedIn）",
"type": "n8n-nodes-base.code",
"position": [
2368,
1360
],
"parameters": {
"jsCode": "// n8n Function Node: Manual JSON Parser & Validator\nconst raw = $input.first().json.text;\n\n// Handle case where LLM returns a string (common if JSON is malformed)\nlet data;\nif (typeof raw === 'string') {\n try {\n // Try to parse JSON, including handling common LLM formatting issues\n const cleanedRaw = raw\n .replace(/(\\w)'(\\w)/g, '$1\\'$2') // Fix unescaped quotes in words\n .replace(/,\\s*}/g, '}') // Remove trailing commas\n .replace(/,\\s*]/g, ']'); // Remove trailing commas in arrays\n \n data = JSON.parse(cleanedRaw);\n } catch (e) {\n throw new Error(`LLM did not return valid JSON. Output: ${raw}`);\n }\n} else if (typeof raw === 'object' && raw !== null) {\n // n8n already parsed it as JSON object\n data = { ...raw };\n} else {\n throw new Error(`Unexpected LLM output type: ${typeof raw}`);\n}\n\n// --- Validation & Correction ---\nconst requiredFields = [\n 'platform', 'post_text', 'suggested_hashtags',\n 'cta_used', 'tone_applied', 'goal_applied',\n 'audience_targeted', 'image_prompt'\n];\n\n// Check for missing fields - CRITICAL ERROR\nfor (const field of requiredFields) {\n if (!(field in data)) {\n throw new Error(`Missing required field: ${field}`);\n }\n}\n\n// Ensure post_text is string - CRITICAL ERROR\nif (typeof data.post_text !== 'string') {\n throw new Error('post_text must be a string');\n}\n\n// Auto-correct character_count (most reliable approach!)\nconst actualCount = data.post_text.length;\n// Optional: warn if LLM provided a different count\nif (typeof data.character_count !== 'undefined' && data.character_count !== actualCount) {\n console.log(`⚠️ LLM reported character_count=${data.character_count}, but actual is ${actualCount}. Using actual.`);\n}\ndata.character_count = actualCount;\n\n// Validate and fix hashtags - AUTO-FIX MINOR ISSUES\nif (!Array.isArray(data.suggested_hashtags)) {\n // Try to convert to array if it's a string\n if (typeof data.suggested_hashtags === 'string') {\n console.log('⚠️ suggested_hashtags was a string, converting to array');\n data.suggested_hashtags = data.suggested_hashtags.split(',').map(tag => tag.trim());\n } else {\n throw new Error('suggested_hashtags must be an array');\n }\n}\n\n// Fix hashtags by ensuring they all start with # and are valid\ndata.suggested_hashtags = data.suggested_hashtags\n .map(tag => {\n if (typeof tag !== 'string') {\n // Try to convert non-string values\n if (tag === null || tag === undefined) {\n console.log('⚠️ Found null/undefined hashtag, removing');\n return null;\n }\n console.log(`⚠️ Converting non-string hashtag: ${tag}`);\n tag = String(tag);\n }\n \n // Remove any existing # and add a new one to ensure proper formatting\n const cleanTag = tag.replace(/^#+/, '').trim();\n \n // Skip empty tags\n if (!cleanTag) {\n console.log('⚠️ Found empty hashtag, removing');\n return null;\n }\n \n // Add # prefix\n return `#${cleanTag}`;\n })\n .filter(tag => tag !== null) // Remove null entries\n .filter(tag => tag.length <= 30) // Remove overly long hashtags\n .slice(0, 30); // Limit to 30 hashtags maximum\n\n// Ensure we still have some hashtags after cleaning\nif (data.suggested_hashtags.length === 0) {\n console.log('⚠️ No valid hashtags found after cleaning, using fallback');\n data.suggested_hashtags = ['#socialmedia'];\n}\n\n// Ensure image_prompt is null or string - AUTO-FIX\nif (data.image_prompt === undefined) {\n data.image_prompt = null;\n} else if (data.image_prompt !== null && typeof data.image_prompt !== 'string') {\n console.log(`⚠️ Converting image_prompt from ${typeof data.image_prompt} to string`);\n data.image_prompt = String(data.image_prompt);\n}\n\n// Clean up string fields - AUTO-FIX MINOR ISSUES\nconst stringFields = ['post_text', 'cta_used', 'tone_applied', 'goal_applied', 'audience_targeted'];\nstringFields.forEach(field => {\n if (data[field] && typeof data[field] !== 'string') {\n console.log(`⚠️ Converting ${field} from ${typeof data[field]} to string`);\n data[field] = String(data[field]);\n }\n \n // Trim whitespace from string fields\n if (typeof data[field] === 'string') {\n data[field] = data[field].trim();\n }\n});\n\n// Platform validation with case-insensitive matching - AUTO-FIX CASE ISSUES\nconst allowedPlatforms = [\n 'facebook', 'instagram', 'linkedin', 'twitter', \n 'threads', 'tiktok', 'youtube', 'pinterest', \n 'reddit', 'bluesky'\n];\n\n// Convert platform to lowercase for comparison\nconst platformLower = data.platform.toLowerCase().trim();\nconst matchedPlatform = allowedPlatforms.find(p => p.toLowerCase() === platformLower);\n\nif (!matchedPlatform) {\n throw new Error(`Unsupported platform: ${data.platform}. Allowed platforms: ${allowedPlatforms.join(', ')}`);\n}\n\n// Use the properly cased platform name\nif (data.platform !== matchedPlatform) {\n console.log(`⚠️ Normalizing platform name from \"${data.platform}\" to \"${matchedPlatform}\"`);\n data.platform = matchedPlatform;\n}\n\n// Validate field lengths - WARN BUT DON'T ERROR\nif (data.post_text.length > 280 && ['twitter', 'x'].includes(data.platform)) {\n console.log('⚠️ Post text exceeds 280 characters for Twitter/X platform');\n}\n\nif (data.post_text.length > 2000 && data.platform === 'linkedin') {\n console.log('⚠️ Post text exceeds 2000 characters for LinkedIn');\n}\n\n// Remove any extra fields that might cause issues\nconst allowedFields = [...requiredFields, 'character_count'];\nObject.keys(data).forEach(key => {\n if (!allowedFields.includes(key)) {\n console.log(`⚠️ Removing unexpected field: ${key}`);\n delete data[key];\n }\n});\n\n// Final validation - CRITICAL CHECKS\nif (data.post_text.trim().length === 0) {\n throw new Error('post_text cannot be empty after trimming');\n}\n\nif (data.suggested_hashtags.length === 0) {\n throw new Error('No valid hashtags remain after processing');\n}\n\nconsole.log('✅ Validation completed successfully with auto-fixes applied');\nreturn { json: data };"
},
"typeVersion": 2
},
{
"id": "bbd38c8a-d211-45b3-aede-c2d9263b76ce",
"name": "通过 GetLate API 发布/草稿（无图片，Bluesky）",
"type": "n8n-nodes-base.httpRequest",
"position": [
2816,
1904
],
"parameters": {
"url": "https://getlate.dev/api/v1/posts",
"method": "POST",
"options": {},
"jsonBody": "={\n \"content\": \"{{ $('Validate JSON (Bluesky)').item.json.post_text }}\",\n \"platforms\": [\n {\"platform\": \"bluesky\", \"accountId\": \"{{ $('Set SMCG Custom Parameters & Settings').item.json.bluesky_account_id }}\"}\n ],\n \"publishNow\": {{ ! $('Set SMCG Custom Parameters & Settings').item.json.post_as_draft }},\n \"isDraft\": {{ $('Set SMCG Custom Parameters & Settings').item.json.post_as_draft }},\n \"visibility\": \"public\",\n\"tags\": {{ JSON.stringify(Object.values($('Validate JSON (Bluesky)').item.json.suggested_hashtags || {})) }}\n}",
"sendBody": true,
"specifyBody": "json",
"authentication": "genericCredentialType",
"genericAuthType": "httpBearerAuth"
},
"credentials": {
"httpBearerAuth": {
"id": "H8YYn03WwhfY88El",
"name": "Bearer YOUR_TOKEN_HERE - GetLate"
}
},
"typeVersion": 4.2
},
{
"id": "f6afcdbe-56b1-45ec-92a7-fefd4a4fd973",
"name": "生成帖子图片（Bluesky）",
"type": "n8n-nodes-base.httpRequest",
"position": [
2816,
1728
],
"parameters": {
"url": "https://api-inference.huggingface.co/models/stabilityai/stable-diffusion-xl-base-1.0",
"method": "POST",
"options": {
"response": {
"response": {
"fullResponse": true
}
}
},
"sendBody": true,
"sendHeaders": true,
"authentication": "genericCredentialType",
"bodyParameters": {
"parameters": [
{
"name": "inputs",
"value": "={{ $json.image_prompt }}"
}
]
},
"genericAuthType": "httpBearerAuth",
"headerParameters": {
"parameters": [
{
"name": "accept",
"value": "image/png"
}
]
}
},
"credentials": {
"httpBearerAuth": {
"id": "gv5zYpvHHxYv727R",
"name": "Bearer YOUR_TOKEN_HERE account - Hugging Face"
}
},
"typeVersion": 4.2
},
{
"id": "d58a2507-cc2c-4324-914f-2826105dd6ce",
"name": "通过 GetLate API 发布/草稿（Bluesky）",
"type": "n8n-nodes-base.httpRequest",
"position": [
3648,
1728
],
"parameters": {
"url": "https://getlate.dev/api/v1/posts",
"method": "POST",
"options": {},
"jsonBody": "={\n \"content\": \"{{ $('Validate JSON (Bluesky)').item.json.post_text }}\",\n \"platforms\": [\n { \"platform\": \"bluesky\", \"accountId\": \"{{ $('Set SMCG Custom Parameters & Settings').item.json.bluesky_account_id }}\" }\n ],\n \"publishNow\": {{ !$('Set SMCG Custom Parameters & Settings').item.json.post_as_draft }},\n \"isDraft\": {{ $('Set SMCG Custom Parameters & Settings').item.json.post_as_draft }},\n \"visibility\": \"public\",\n \"tags\": \"{{ $('Validate JSON (Bluesky)').item.json.suggested_hashtags }}\",\n \"mediaItems\": [\n {\n \"type\": \"image\",\n \"url\": \"{{ $json.data.url }}\",\n \"filename\": \"{{ $json.data.title }}\"\n }\n ]\n}",
"sendBody": true,
"specifyBody": "json",
"authentication": "genericCredentialType",
"genericAuthType": "httpBearerAuth"
},
"credentials": {
"httpBearerAuth": {
"id": "H8YYn03WwhfY88El",
"name": "Bearer YOUR_TOKEN_HERE - GetLate"
}
},
"typeVersion": 4.2
},
{
"id": "8aaf4e2b-0944-44d2-9d48-26458e839c40",
"name": "RSS 源触发器：'#to-share-instagram'",
"type": "n8n-nodes-base.rssFeedReadTrigger",
"position": [
784,
624
],
"parameters": {
"feedUrl": "https://your-wallabag.instance/feed/wallabag/00000000000000/tags/t:your-tag-here",
"pollTimes": {
"item": [
{
"mode": "everyMinute"
}
]
}
},
"typeVersion": 1
},
{
"id": "8f9162e4-5a4f-427e-a033-5ecbc10a3522",
"name": "设置平台（Instagram）",
"type": "n8n-nodes-base.set",
"position": [
1104,
624
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "b9b8246a-695e-4d14-ace8-f194a0d1fc9f",
"name": "platform",
"type": "string",
"value": "=instagram"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "2f612709-3759-4dc5-b90a-c80261a4ef65",
"name": "Markdown：转换文章内容（Instagram）",
"type": "n8n-nodes-base.markdown",
"position": [
1456,
624
],
"parameters": {
"html": "={{ $('RSS Feed Trigger: \\'#to-share-instagram\"').item.json.content }}",
"options": {},
"destinationKey": "content_markdown"
},
"typeVersion": 1
},
{
"id": "c5c19482-43e5-42bc-96ce-11712027a87c",
"name": "存储文章内容（Instagram）",
"type": "n8n-nodes-base.airtable",
"position": [
1792,
624
],
"parameters": {
"base": {
"__rl": true,
"mode": "list",
"value": "appobCAkHxBSApdQ3",
"cachedResultUrl": "https://airtable.com/appobCAkHxBSApdQ3",
"cachedResultName": "RSS Feed Store - Wallabag RSS Feed Aggregator"
},
"table": {
"__rl": true,
"mode": "list",
"value": "tbl8jsh0nMt3F5mo5",
"cachedResultUrl": "https://airtable.com/appobCAkHxBSApdQ3/tbl8jsh0nMt3F5mo5",
"cachedResultName": "RSS Feed - Content Store"
},
"columns": {
"value": {
"title": "={{ $('RSS Feed Trigger: \\'#to-share-instagram\"').item.json.title }}",
"author": "={{ $('RSS Feed Trigger: \\'#to-share-instagram\"').item.json.author }}",
"feed_id": "={{ $('RSS Feed Trigger: \\'#to-share-instagram\"').item.json.id }}",
"platform": "={{ $('Set Platform (Instagram)').item.json.platform.toLowerCase() }}",
"is_posted": 0,
"article_url": "={{ $('RSS Feed Trigger: \\'#to-share-instagram\"').item.json.link }}",
"content_markdown": "={{ $json.content_markdown }}"
},
"schema": [
{
"id": "id",
"type": "string",
"display": true,
"removed": true,
"readOnly": true,
"required": false,
"displayName": "id",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "feed_id",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "feed_id",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "article_url",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "article_url",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "title",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "title",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "author",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "author",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "content_markdown",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "content_markdown",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "is_posted",
"type": "number",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "is_posted",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "platform",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "platform",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "post_text",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "post_text",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "suggested_hashtags",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "suggested_hashtags",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "cta_used",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "cta_used",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "tone_applied",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "tone_applied",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "goal_applied",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "goal_applied",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "audience_ targeted",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "audience_ targeted",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "character_count",
"type": "number",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "character_count",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "image_prompt",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "image_prompt",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "image_filename",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "image_filename",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "image_id",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "image_id",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "image_link",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "image_link",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "create"
},
"credentials": {
"airtableTokenApi": {
"id": "D9AiOyADd2P9e8YQ",
"name": "Airtable Personal Access Token account 2"
}
},
"typeVersion": 2.1
},
{
"id": "b4a579ba-7468-4ab3-8bdc-4a420ce753dc",
"name": "Markdown：转换文章内容（LinkedIn）",
"type": "n8n-nodes-base.markdown",
"position": [
1456,
240
],
"parameters": {
"html": "={{ $('RSS Feed Trigger: \\'#to-share-linkedin\\'').item.json.content }}",
"options": {},
"destinationKey": "content_markdown"
},
"typeVersion": 1
},
{
"id": "c0e87b09-4977-417b-ae46-3982f5919f23",
"name": "Markdown：转换文章内容（Bluesky）",
"type": "n8n-nodes-base.markdown",
"position": [
1456,
432
],
"parameters": {
"html": "={{ $('RSS Feed Trigger: \\'#to-share-bluesky\\'').item.json.content }}",
"options": {},
"destinationKey": "content_markdown"
},
"typeVersion": 1
},
{
"id": "48730f3c-4067-4e43-9dac-0d6d2b294fbc",
"name": "存储文章内容（Bluesky）",
"type": "n8n-nodes-base.airtable",
"position": [
1792,
432
],
"parameters": {
"base": {
"__rl": true,
"mode": "list",
"value": "appobCAkHxBSApdQ3",
"cachedResultUrl": "https://airtable.com/appobCAkHxBSApdQ3",
"cachedResultName": "RSS Feed Store - Wallabag RSS Feed Aggregator"
},
"table": {
"__rl": true,
"mode": "list",
"value": "tbl8jsh0nMt3F5mo5",
"cachedResultUrl": "https://airtable.com/appobCAkHxBSApdQ3/tbl8jsh0nMt3F5mo5",
"cachedResultName": "RSS Feed - Content Store"
},
"columns": {
"value": {
"title": "={{ $('RSS Feed Trigger: \\'#to-share-bluesky\\'').item.json.title }}",
"author": "={{ $('RSS Feed Trigger: \\'#to-share-bluesky\\'').item.json.author }}",
"feed_id": "={{ $('RSS Feed Trigger: \\'#to-share-bluesky\\'').item.json.id }}",
"platform": "={{ $('Set Platform (Bluesky)').item.json.platform.toLowerCase() }}",
"is_posted": 0,
"article_url": "={{ $('RSS Feed Trigger: \\'#to-share-bluesky\\'').item.json.link }}",
"character_count": 0,
"content_markdown": "={{ $json.content_markdown }}"
},
"schema": [
{
"id": "id",
"type": "string",
"display": true,
"removed": true,
"readOnly": true,
"required": false,
"displayName": "id",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "feed_id",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "feed_id",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "article_url",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "article_url",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "title",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "title",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "author",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "author",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "content_markdown",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "content_markdown",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "is_posted",
"type": "number",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "is_posted",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "platform",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "platform",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "post_text",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "post_text",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "suggested_hashtags",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "suggested_hashtags",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "cta_used",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "cta_used",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "tone_applied",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "tone_applied",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "goal_applied",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "goal_applied",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "audience_ targeted",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "audience_ targeted",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "character_count",
"type": "number",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "character_count",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "image_prompt",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "image_prompt",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "image_filename",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "image_filename",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "image_id",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "image_id",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "image_link",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "image_link",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "create"
},
"credentials": {
"airtableTokenApi": {
"id": "D9AiOyADd2P9e8YQ",
"name": "Airtable Personal Access Token account 2"
}
},
"typeVersion": 2.1
},
{
"id": "644e2b17-efb1-4b1d-ad53-6ad58022b894",
"name": "调整图片尺寸（Bluesky）",
"type": "n8n-nodes-base.editImage",
"position": [
3040,
1728
],
"parameters": {
"width": 1080,
"height": 1080,
"options": {
"format": "webp"
},
"operation": "resize"
},
"typeVersion": 1
},
{
"id": "92a532cc-8958-4a18-ad88-c82eccfd1d5b",
"name": "过滤平台重复项",
"type": "n8n-nodes-base.code",
"position": [
1520,
1504
],
"parameters": {
"jsCode": "const items = $input.all();\nconst seenPlatforms = new Set();\nconst uniqueItems = [];\n\nitems.forEach(item => {\n const platform = item.json.platform;\n \n // If we haven't seen this platform yet, add it to results\n if (platform && !seenPlatforms.has(platform)) {\n seenPlatforms.add(platform);\n uniqueItems.push(item);\n }\n});\n\nreturn uniqueItems;"
},
"typeVersion": 2
}
],
"active": false,
"pinData": {
"Set Post Schedule": [
{
"json": {
"Hour": "12",
"Year": "2025",
"Month": "October",
"Minute": "35",
"Second": "49",
"Timezone": "America/New_York (UTC-04:00)",
"timestamp": "2025-10-23T12:35:49.004-04:00",
"Day of week": "Thursday",
"Day of month": "23",
"Readable date": "October 23rd 2025, 12:35:49 pm",
"Readable time": "12:35:49 pm"
}
}
]
},
"settings": {
"executionOrder": "v1"
},
"versionId": "94f11dd1-823a-4f0d-826b-dddf1112ebd9",
"connections": {
"Bluesky SMCG": {
"main": [
[
{
"node": "Validate JSON (Bluesky)",
"type": "main",
"index": 0
}
]
]
},
"LinkedIn SMCG": {
"main": [
[
{
"node": "Validate JSON (LinkedIn)",
"type": "main",
"index": 0
}
]
]
},
"Check Platform": {
"main": [
[
{
"node": "LinkedIn SMCG Prompt",
"type": "main",
"index": 0
}
],
[
{
"node": "Bluesky SMCG Prompt",
"type": "main",
"index": 0
}
],
[
{
"node": "Instagram SMCG Prompt",
"type": "main",
"index": 0
}
]
]
},
"Instagram SMCG": {
"main": [
[
{
"node": "Validate JSON (Instagram)",
"type": "main",
"index": 0
}
]
]
},
"Pull New Articles": {
"main": [
[
{
"node": "Filter Platform Duplicates",
"type": "main",
"index": 0
}
]
]
},
"Set Post Schedule": {
"main": [
[
{
"node": "Set SMCG Custom Parameters & Settings",
"type": "main",
"index": 0
}
]
]
},
"Bluesky SMCG Prompt": {
"main": [
[
{
"node": "Bluesky SMCG",
"type": "main",
"index": 0
}
]
]
},
"LinkedIn SMCG Prompt": {
"main": [
[
{
"node": "LinkedIn SMCG",
"type": "main",
"index": 0
}
]
]
},
"Instagram SMCG Prompt": {
"main": [
[
{
"node": "Instagram SMCG",
"type": "main",
"index": 0
}
]
]
},
"Resize Image (Bluesky)": {
"main": [
[
{
"node": "Convert to Base64 (Bluesky)",
"type": "main",
"index": 0
}
]
]
},
"Set Platform (Bluesky)": {
"main": [
[
{
"node": "Markdown: Convert Article Content (Bluesky)",
"type": "main",
"index": 0
}
]
]
},
"Set Platform (LinkedIn)": {
"main": [
[
{
"node": "Markdown: Convert Article Content (LinkedIn)",
"type": "main",
"index": 0
}
]
]
},
"Validate JSON (Bluesky)": {
"main": [
[
{
"node": "Check For Image Prompt (Bluesky)",
"type": "main",
"index": 0
}
]
]
},
"Set Platform (Instagram)": {
"main": [
[
{
"node": "Markdown: Convert Article Content (Instagram)",
"type": "main",
"index": 0
}
]
]
},
"Validate JSON (LinkedIn)": {
"main": [
[
{
"node": "Check For Image Prompt (LinkedIn)",
"type": "main",
"index": 0
}
]
]
},
"Groq Chat Model (Bluesky)": {
"ai_languageModel": [
[
{
"node": "Bluesky SMCG",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Validate JSON (Instagram)": {
"main": [
[
{
"node": "Generate Post Image (Instagram)",
"type": "main",
"index": 0
}
]
]
},
"Filter Platform Duplicates": {
"main": [
[
{
"node": "Check Platform",
"type": "main",
"index": 0
}
]
]
},
"Groq Chat Model (LinkedIn)": {
"ai_languageModel": [
[
{
"node": "LinkedIn SMCG",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Convert to Base64 (Bluesky)": {
"main": [
[
{
"node": "Store Image on Imgbb (Bluesky)",
"type": "main",
"index": 0
}
]
]
},
"Groq Chat Model (Instagram)": {
"ai_languageModel": [
[
{
"node": "Instagram SMCG",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Convert to Base64 (LinkedIn)": {
"main": [
[
{
"node": "Store Image on Imgbb (LinkedIn)",
"type": "main",
"index": 0
}
]
]
},
"Convert to Base64 (Instagram)": {
"main": [
[
{
"node": "Store Image on Imgbb (Instagram)",
"type": "main",
"index": 0
}
]
]
},
"Generate Post Image (Bluesky)": {
"main": [
[
{
"node": "Resize Image (Bluesky)",
"type": "main",
"index": 0
}
]
]
},
"Generate Post Image (LinkedIn)": {
"main": [
[
{
"node": "Convert to Base64 (LinkedIn)",
"type": "main",
"index": 0
}
]
]
},
"Store Image on Imgbb (Bluesky)": {
"main": [
[
{
"node": "Post/Draft via GetLate API (Bluesky)",
"type": "main",
"index": 0
}
]
]
},
"Generate Post Image (Instagram)": {
"main": [
[
{
"node": "Convert to Base64 (Instagram)",
"type": "main",
"index": 0
}
]
]
},
"Store Image on Imgbb (LinkedIn)": {
"main": [
[
{
"node": "Post/Draft via GetLate API (LinkedIn)3",
"type": "main",
"index": 0
}
]
]
},
"Check For Image Prompt (Bluesky)": {
"main": [
[
{
"node": "Generate Post Image (Bluesky)",
"type": "main",
"index": 0
}
],
[
{
"node": "Post/Draft via GetLate API (No Image, Bluesky)",
"type": "main",
"index": 0
}
]
]
},
"Store Image on Imgbb (Instagram)": {
"main": [
[
{
"node": "Post/Draft via GetLate API (Instagram)",
"type": "main",
"index": 0
}
]
]
},
"Check For Image Prompt (LinkedIn)": {
"main": [
[
{
"node": "Generate Post Image (LinkedIn)",
"type": "main",
"index": 0
}
],
[
{
"node": "Post/Draft via GetLate API (No Image, LinkedIn)",
"type": "main",
"index": 0
}
]
]
},
"Post/Draft via GetLate API (Bluesky)": {
"main": [
[
{
"node": "Store Generated Post Content (Bluesky)",
"type": "main",
"index": 0
}
]
]
},
"RSS Feed Trigger: '#to-share-bluesky'": {
"main": [
[
{
"node": "Set Platform (Bluesky)",
"type": "main",
"index": 0
}
]
]
},
"Set SMCG Custom Parameters & Settings": {
"main": [
[
{
"node": "Pull New Articles",
"type": "main",
"index": 0
}
]
]
},
"Post/Draft via GetLate API (Instagram)": {
"main": [
[
{
"node": "Store Generated Post Content (Instagram)",
"type": "main",
"index": 0
}
]
]
},
"Post/Draft via GetLate API (LinkedIn)3": {
"main": [
[
{
"node": "Store Generated Post Content (LinkedIn)",
"type": "main",
"index": 0
}
]
]
},
"RSS Feed Trigger: '#to-share-linkedin'": {
"main": [
[
{
"node": "Set Platform (LinkedIn)",
"type": "main",
"index": 0
}
]
]
},
"RSS Feed Trigger: '#to-share-instagram\"": {
"main": [
[
{
"node": "Set Platform (Instagram)",
"type": "main",
"index": 0
}
]
]
},
"Markdown: Convert Article Content (Bluesky)": {
"main": [
[
{
"node": "Store Article Content (Bluesky)",
"type": "main",
"index": 0
}
]
]
},
"Markdown: Convert Article Content (LinkedIn)": {
"main": [
[
{
"node": "Store Article Content (LinkedIn)",
"type": "main",
"index": 0
}
]
]
},
"Markdown: Convert Article Content (Instagram)": {
"main": [
[
{
"node": "Store Article Content (Instagram)",
"type": "main",
"index": 0
}
]
]
},
"Post/Draft via GetLate API (No Image, Bluesky)": {
"main": [
[
{
"node": "Store Generated Post Content (No Image, Bluesky)",
"type": "main",
"index": 0
}
]
]
},
"Post/Draft via GetLate API (No Image, LinkedIn)": {
"main": [
[
{
"node": "Store Generated Post Content (No Image, LinkedIn)",
"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 - 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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