社交媒体AI代理 - Telegram
高级
这是一个AI, Marketing领域的自动化工作流，包含 26 个节点。主要使用 Code, Wait, Merge, Filter, Twitter 等节点，结合人工智能技术实现智能自动化。 基于AI的社交媒体放大器
前置要求
- •Twitter API 凭证
- •Airtable API Key
- •LinkedIn API 凭证
- •Telegram Bot Token
- •可能需要目标 API 的认证凭证
- •OpenAI API Key
使用的节点 (26)
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": "ZeSJSbwXI593H1Qj",
"meta": {
"instanceId": "8e1a7e3413df437923cda0e92c098469371d84f7001856e525beaff17be8b941",
"templateCredsSetupCompleted": true
},
"name": "社交媒体 AI 代理 - Telegram",
"tags": [],
"nodes": [
{
"id": "814303e0-5fe9-474e-a4ed-e4a728fd4acf",
"name": "爬取 HN 首页",
"type": "n8n-nodes-base.httpRequest",
"position": [
-1540,
1640
],
"parameters": {
"url": "https://news.ycombinator.com/",
"options": {
"response": {
"response": {
"neverError": true,
"fullResponse": true
}
}
}
},
"executeOnce": true,
"typeVersion": 4.2,
"alwaysOutputData": true
},
{
"id": "32e20b1d-b3f1-4ed2-acbf-4d5bd56b0d8b",
"name": "提取元数据",
"type": "n8n-nodes-base.code",
"position": [
-1260,
1720
],
"parameters": {
"language": "python",
"pythonCode": "# Import necessary modules\nimport asyncio\nimport micropip\n\n# Define an asynchronous function to install packages\nasync def install_packages():\n await micropip.install(\"beautifulsoup4\")\n await micropip.install(\"simplejson\")\n\n# Run the asynchronous package installation\nasyncio.get_event_loop().run_until_complete(install_packages())\n\n# Now, import the installed packages\nimport simplejson as json\nfrom bs4 import BeautifulSoup\n\n# Retrieve the HTML content from the first item in the input\n# Assuming n8n passes data as a list of items, each with a 'json' key\nhtml_content = items[0].get('json', {}).get('data', '')\n\n# Initialize BeautifulSoup with the HTML content\nsoup = BeautifulSoup(html_content, 'html.parser')\n\n# Initialize a list to store metadata of GitHub posts\ngithub_posts = []\n\n# Find all 'tr' elements with class 'athing submission'\nposts = soup.find_all('tr', class_='athing submission')\n\nfor post in posts:\n post_id = post.get('id')\n title_line = post.find('span', class_='titleline')\n if not title_line:\n continue # Skip if titleline is not found\n\n # Extract the title and URL\n title_tag = title_line.find('a')\n if not title_tag:\n continue # Skip if title tag is not found\n\n title = title_tag.get_text(strip=True)\n url = title_tag.get('href', '')\n\n # Check if the URL is a GitHub link\n if 'github.com' not in url.lower():\n continue # Skip if not a GitHub link\n\n # Extract the site domain (e.g., github.com/username/repo)\n site_bit = title_line.find('span', class_='sitebit comhead')\n site = site_bit.find('span', class_='sitestr').get_text(strip=True) if site_bit else ''\n\n # The subtext is in the next 'tr' element\n subtext_tr = post.find_next_sibling('tr')\n if not subtext_tr:\n continue # Skip if subtext row is not found\n\n subtext_td = subtext_tr.find('td', class_='subtext')\n if not subtext_td:\n continue # Skip if subtext td is not found\n\n # Extract score\n score_span = subtext_td.find('span', class_='score')\n score = score_span.get_text(strip=True) if score_span else '0 points'\n\n # Extract author\n author_a = subtext_td.find('a', class_='hnuser')\n author = author_a.get_text(strip=True) if author_a else 'unknown'\n\n # Extract age\n age_span = subtext_td.find('span', class_='age')\n age_a = age_span.find('a') if age_span else None\n age = age_a.get_text(strip=True) if age_a else 'unknown'\n\n # Extract comments\n comments_a = subtext_td.find_all('a')[-1] if subtext_td.find_all('a') else None\n comments_text = comments_a.get_text(strip=True) if comments_a else '0 comments'\n\n # Construct the Hacker News URL\n hn_url = f\"https://news.ycombinator.com/item?id={post_id}\"\n\n # Compile the metadata\n post_metadata = {\n 'Post': post_id,\n 'title': title,\n 'url': url,\n 'site': site,\n 'score': score,\n 'author': author,\n 'age': age,\n 'comments': comments_text,\n 'hn_url': hn_url\n }\n\n # Append to the list of GitHub posts\n github_posts.append(post_metadata)\n\n# Prepare the output for n8n\noutput = [{'json': post} for post in github_posts]\n\n# Return the output\nreturn output\n"
},
"executeOnce": true,
"typeVersion": 2,
"alwaysOutputData": true
},
{
"id": "b54cf663-b823-4613-a812-764942b95b9d",
"name": "过滤未发布条目",
"type": "n8n-nodes-base.code",
"position": [
-680,
1640
],
"parameters": {
"jsCode": "const items = [];\n\n// Step 1: Collect all Post IDs from input1 items (those with 'id')\nconst processedPosts = new Set(\n $input.all()\n .filter(item => item.json.id)\n .map(item => item.json.Post)\n);\n\n// Step 2: Iterate over all items and filter out duplicates\nfor (const item of $input.all()) {\n \n // Only process items without 'id' (input2 items)\n if(!item.json.id){\n \n // Check if the Post ID is already processed\n if(!processedPosts.has(item.json.Post) && item.json.Post!=undefined){\n items.push(item);\n }\n }\n}\n\nreturn items;\n"
},
"typeVersion": 2
},
{
"id": "d7ac7121-8da7-4e45-9b74-daf07fbf15fb",
"name": "访问 GH 页面",
"type": "n8n-nodes-base.httpRequest",
"position": [
-420,
1420
],
"parameters": {
"url": "={{ $json.url }}",
"options": {}
},
"typeVersion": 4.2
},
{
"id": "f156ca8e-7963-42b9-9612-9ab5efc53be4",
"name": "将 HTML 转换为 Markdown",
"type": "n8n-nodes-base.markdown",
"position": [
-240,
1700
],
"parameters": {
"html": "={{ $json.data }}",
"options": {}
},
"typeVersion": 1,
"alwaysOutputData": true
},
{
"id": "86221ed0-29fa-4775-ba36-8ffdf614977c",
"name": "过滤出错项",
"type": "n8n-nodes-base.filter",
"position": [
380,
1440
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "7776cb97-e02d-418e-a168-612bf92d4160",
"operator": {
"type": "string",
"operation": "empty",
"singleValue": true
},
"leftValue": "={{ $json.error }}",
"rightValue": ""
}
]
}
},
"typeVersion": 2.2
},
{
"id": "f08c4f61-17a5-4899-ab3d-4e3ff5d1b8b7",
"name": "无操作，不执行任何操作",
"type": "n8n-nodes-base.noOp",
"position": [
1760,
1540
],
"parameters": {},
"typeVersion": 1
},
{
"id": "48856b3b-a951-4e7f-a0b8-410a71e9b0a7",
"name": "更新 X 状态",
"type": "n8n-nodes-base.airtable",
"position": [
1500,
1400
],
"parameters": {
"base": {
"__rl": true,
"mode": "list",
"value": "app7fh2kmMzPKS4RZ",
"cachedResultUrl": "https://airtable.com/app7fh2kmMzPKS4RZ",
"cachedResultName": "Twitter Agent"
},
"table": {
"__rl": true,
"mode": "list",
"value": "tblf0cODJFdvDj7vU",
"cachedResultUrl": "https://airtable.com/app7fh2kmMzPKS4RZ/tblf0cODJFdvDj7vU",
"cachedResultName": "My Tweets"
},
"columns": {
"value": {
"id": "={{ $('Create Item').item.json.id }}",
"TDone": true
},
"schema": [
{
"id": "id",
"type": "string",
"display": true,
"removed": false,
"readOnly": true,
"required": false,
"displayName": "id",
"defaultMatch": true
},
{
"id": "Post",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Post",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Title",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Title",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Url",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Url",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Tweet",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Tweet",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "LinkedIn",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "LinkedIn",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Date",
"type": "string",
"display": true,
"removed": true,
"readOnly": true,
"required": false,
"displayName": "Date",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Last Modified",
"type": "string",
"display": true,
"removed": true,
"readOnly": true,
"required": false,
"displayName": "Last Modified",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "TDone",
"type": "boolean",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "TDone",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "LDone",
"type": "boolean",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "LDone",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"id"
]
},
"options": {
"typecast": true
},
"operation": "update"
},
"credentials": {
"airtableTokenApi": {
"id": "BxLldDZTAZvuWVbr",
"name": "Airtable Personal Access Token account"
}
},
"typeVersion": 2.1
},
{
"id": "c31bb906-2a0d-406a-a7cd-6fc4adfcb67b",
"name": "LinkedIn",
"type": "n8n-nodes-base.linkedIn",
"position": [
1200,
1820
],
"parameters": {
"text": "={{ $('Filter Errored').item.json.message.content.linkedin }}",
"person": "afi4Hy9wlI",
"additionalFields": {}
},
"credentials": {
"linkedInOAuth2Api": {
"id": "S7G2oyLAmzhWuYFQ",
"name": "LinkedIn account"
}
},
"typeVersion": 1
},
{
"id": "4aab4cc2-4a51-432a-aa21-ba469c027ac6",
"name": "更新 L 状态",
"type": "n8n-nodes-base.airtable",
"position": [
1520,
1680
],
"parameters": {
"base": {
"__rl": true,
"mode": "list",
"value": "app7fh2kmMzPKS4RZ",
"cachedResultUrl": "https://airtable.com/app7fh2kmMzPKS4RZ",
"cachedResultName": "Twitter Agent"
},
"table": {
"__rl": true,
"mode": "list",
"value": "tblf0cODJFdvDj7vU",
"cachedResultUrl": "https://airtable.com/app7fh2kmMzPKS4RZ/tblf0cODJFdvDj7vU",
"cachedResultName": "My Tweets"
},
"columns": {
"value": {
"id": "={{ $('Create Item').item.json.id }}",
"LDone": true
},
"schema": [
{
"id": "id",
"type": "string",
"display": true,
"removed": false,
"readOnly": true,
"required": false,
"displayName": "id",
"defaultMatch": true
},
{
"id": "Post",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Post",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Title",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Title",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Url",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Url",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Tweet",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Tweet",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "LinkedIn",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "LinkedIn",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Date",
"type": "string",
"display": true,
"removed": true,
"readOnly": true,
"required": false,
"displayName": "Date",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Last Modified",
"type": "string",
"display": true,
"removed": true,
"readOnly": true,
"required": false,
"displayName": "Last Modified",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "TDone",
"type": "boolean",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "TDone",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "LDone",
"type": "boolean",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "LDone",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"id"
]
},
"options": {
"typecast": true
},
"operation": "update"
},
"credentials": {
"airtableTokenApi": {
"id": "BxLldDZTAZvuWVbr",
"name": "Airtable Personal Access Token account"
}
},
"typeVersion": 2.1
},
{
"id": "72dd9714-c11d-4417-8710-89e416ac44c9",
"name": "搜索条目",
"type": "n8n-nodes-base.airtable",
"position": [
-1100,
1240
],
"parameters": {
"base": {
"__rl": true,
"mode": "list",
"value": "app7fh2kmMzPKS4RZ",
"cachedResultUrl": "https://airtable.com/app7fh2kmMzPKS4RZ",
"cachedResultName": "Twitter Agent"
},
"table": {
"__rl": true,
"mode": "list",
"value": "tblf0cODJFdvDj7vU",
"cachedResultUrl": "https://airtable.com/app7fh2kmMzPKS4RZ/tblf0cODJFdvDj7vU",
"cachedResultName": "My Tweets"
},
"options": {
"fields": [
"Title",
"Url",
"Tweet",
"Date",
"Post"
]
},
"operation": "search",
"filterByFormula": "={Post}= {{ $json.Post }}"
},
"credentials": {
"airtableTokenApi": {
"id": "BxLldDZTAZvuWVbr",
"name": "Airtable Personal Access Token account"
}
},
"typeVersion": 2.1,
"alwaysOutputData": true
},
{
"id": "f89fbada-0e53-44f0-a09b-119869fabd10",
"name": "创建条目",
"type": "n8n-nodes-base.airtable",
"position": [
580,
1660
],
"parameters": {
"base": {
"__rl": true,
"mode": "list",
"value": "app7fh2kmMzPKS4RZ",
"cachedResultUrl": "https://airtable.com/app7fh2kmMzPKS4RZ",
"cachedResultName": "Twitter Agent"
},
"table": {
"__rl": true,
"mode": "list",
"value": "tblf0cODJFdvDj7vU",
"cachedResultUrl": "https://airtable.com/app7fh2kmMzPKS4RZ/tblf0cODJFdvDj7vU",
"cachedResultName": "My Tweets"
},
"columns": {
"value": {
"Url": "={{ $('Filter Unposted Items').item.json.url }}",
"Post": "={{ $('Filter Unposted Items').item.json.Post }}",
"Title": "={{ $('Filter Unposted Items').item.json.title }}",
"Tweet": "={{ $json.message.content.twitter }}",
"LinkedIn": "={{ $json.message.content.linkedin }}"
},
"schema": [
{
"id": "Post",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Post",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Title",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Title",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Url",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Url",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Tweet",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Tweet",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "LinkedIn",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "LinkedIn",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Date",
"type": "string",
"display": true,
"removed": false,
"readOnly": true,
"required": false,
"displayName": "Date",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": []
},
"options": {},
"operation": "create"
},
"credentials": {
"airtableTokenApi": {
"id": "BxLldDZTAZvuWVbr",
"name": "Airtable Personal Access Token account"
}
},
"typeVersion": 2.1
},
{
"id": "51a2c3d3-3e75-4375-b2b6-4bb86fa71855",
"name": "X",
"type": "n8n-nodes-base.twitter",
"onError": "continueRegularOutput",
"position": [
1180,
1380
],
"parameters": {
"text": "={{ $('Filter Errored').item.json.message.content.twitter }}",
"additionalFields": {}
},
"credentials": {
"twitterOAuth2Api": {
"id": "YQyS9lQTpZtZkefS",
"name": "X account"
}
},
"executeOnce": false,
"typeVersion": 2
},
{
"id": "58869c5b-9fb2-4f76-8788-68056cda45b0",
"name": "验证生成内容",
"type": "n8n-nodes-base.code",
"onError": "continueRegularOutput",
"position": [
180,
1680
],
"parameters": {
"mode": "runOnceForEachItem",
"jsCode": "if ($json.message.content.twitter && $json.message.content.linkedin) {\n \n return $json;\n} else {\n\n const parsedContent = JSON.parse($json.message.content);\n if ($json.message.content.twitter && $json.message.content.linkedin) {\n return parsedContent;\n }\n\n console.log(\"Invalid formatting\")\n return {}\n}"
},
"typeVersion": 2
},
{
"id": "527fd640-8bc8-4043-92a6-52fbea8de63f",
"name": "计划触发器",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
-1780,
1640
],
"parameters": {
"rule": {
"interval": [
{
"field": "hours",
"hoursInterval": 6
}
]
}
},
"typeVersion": 1.2
},
{
"id": "f00c1de5-d5bd-4d78-8717-d26dd739adc7",
"name": "合并",
"type": "n8n-nodes-base.merge",
"position": [
-840,
1420
],
"parameters": {},
"typeVersion": 3,
"alwaysOutputData": true
},
{
"id": "3529fba4-173c-4378-ae69-43a3bae0813f",
"name": "生成内容",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
-120,
1440
],
"parameters": {
"modelId": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini",
"cachedResultName": "GPT-4O-MINI"
},
"options": {},
"messages": {
"values": [
{
"role": "system",
"content": "You are an AI-powered social media assistant specialized in crafting short-form, engaging posts for Twitter and LinkedIn. Your tone should blend the enthusiasm of a Tech Evangelist with the narrative depth of a Storyteller. The goal is to highlight technological and open-source projects in a friendly, forward-thinking manner, connecting them to real-world use cases. \n\nGuidelines:\n1. Output must be in JSON with separate fields for “twitter” and “linkedin.”\n2. Do not include emojis or marketing buzzwords (“cutting-edge,” “disruptive,” etc.).\n3. Write naturally and concisely. Avoid overly formal or robotic language.\n4. Twitter posts must be under 280 characters (including spaces and URL).\n5. LinkedIn posts should be slightly longer, yet still succinct, and focus on storytelling and real-world applications.\n6. Provide a single call-to-action in each post.\n7. Do not imply ownership of the project unless explicitly stated.\n8. Maintain a professional yet approachable tone in both outputs.\n"
},
{
"content": "=Using the following details, generate two posts—one for Twitter and one for LinkedIn—incorporating an enthusiastic yet narrative-driven style:\n\nTitle: {{ $('Filter Unposted Items').item.json.title }}\nDetails in markdown: {{ $json.data }}\nRepository Link: {{ $('Filter Unposted Items').item.json.url }} (this is the actual link you want to be inserted)\n\nConstraints:\n- No emojis.\n- Keep the Twitter post under 280 characters (including the link).\n- Use a friendly, forward-thinking tone that weaves in a short narrative where possible.\n- Highlight how the project solves a real problem or benefits the user.\n- End each post with one clear CTA (e.g., “Check it out!” or “Learn more.”).\n- **Ensure the tone is neutral and does not imply personal involvement** (e.g., avoid phrases like \"my journey\" or \"I found it fascinating\").\n- **LinkedIn post should be more detailed**: Provide context, explain the key features, highlight how it can be useful to different audiences, and elaborate on the problem it solves or the impact it can have.\n- Output your response in JSON with the structure:\n```json\n{\n \"twitter\": \"Your Twitter post here\",\n \"linkedin\": \"Your LinkedIn post here\"\n}\n"
}
]
},
"jsonOutput": true
},
"credentials": {
"openAiApi": {
"id": "IfJo4dG8AUORk6f0",
"name": "OpenAi account"
}
},
"typeVersion": 1.7,
"alwaysOutputData": true
},
{
"id": "2dfd7849-877c-4bd3-b248-94140a1fe209",
"name": "便签",
"type": "n8n-nodes-base.stickyNote",
"position": [
-320,
960
],
"parameters": {
"width": 619.8433261701165,
"height": 97.20332107671479,
"content": "自动策划并分享 Hacker News 上热门的 GitHub 讨论到 Twitter 和 LinkedIn。此工作流利用 AI 生成引人入胜的帖子，简化您的社交媒体内容创建和分发流程。"
},
"typeVersion": 1
},
{
"id": "20704a99-1234-46dc-b8c8-860b051b3b85",
"name": "便签1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1620,
1520
],
"parameters": {
"color": 5,
"width": 524.8824946275869,
"height": 420.37647358435385,
"content": "我爬取 Hacker News 并提取 Github 链接。"
},
"typeVersion": 1
},
{
"id": "5cfa2c30-6c88-429a-8b5f-0034d2352cc2",
"name": "便签2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-480,
1280
],
"parameters": {
"color": 5,
"width": 828.144505037599,
"height": 670.031562962293,
"content": "这里是魔法发生的地方。我使用先前提取的 Github 网址访问 Github 页面，以获取所分享项目的更多见解。然后我礼貌地请求 Chat GPT 帮助我生成推文和 LinkedIn 帖子。"
},
"typeVersion": 1
},
{
"id": "caec3df6-ddcc-4959-94e1-18163cf3128f",
"name": "便签3",
"type": "n8n-nodes-base.stickyNote",
"position": [
1100,
1280
],
"parameters": {
"color": 5,
"width": 285.9487894560623,
"height": 751.2077576680031,
"content": "最后一个魔法技巧：将生成的推文和帖子发送到各自的平台。"
},
"typeVersion": 1
},
{
"id": "89c8472d-3329-4f94-a656-2539e061eeb0",
"name": "通知我",
"type": "n8n-nodes-base.telegram",
"position": [
720,
1420
],
"parameters": {
"text": "=Hi There, here is your readymade tweet - \n\n {{ $json.fields.Tweet }}\n\nAnd your readymade LinkedIn post -\n\n {{ $json.fields.LinkedIn }}\n\n",
"chatId": "1297549992",
"additionalFields": {}
},
"credentials": {
"telegramApi": {
"id": "1RZApQ3BwJxFn9jp",
"name": "Telegram account"
}
},
"typeVersion": 1.2
},
{
"id": "b1444e6d-0cab-4082-af42-a8decc97d9b4",
"name": "便签4",
"type": "n8n-nodes-base.stickyNote",
"position": [
640,
1300
],
"parameters": {
"color": 5,
"width": 264.5060210432334,
"height": 307.03612625939974,
"content": "只是通知所有者即将发布内容，并在最终发布前等待 5 分钟。"
},
"typeVersion": 1
},
{
"id": "01c2f7ff-ff6c-4a60-9581-f8c5f3985792",
"name": "发布前等待 5 分钟",
"type": "n8n-nodes-base.wait",
"position": [
880,
1660
],
"webhookId": "0c7ee388-30cf-4a99-9bb0-0fd85171c794",
"parameters": {
"unit": "minutes"
},
"typeVersion": 1.1
},
{
"id": "909c7e7d-ea84-4612-a322-b1fa889b2efb",
"name": "便利贴5",
"type": "n8n-nodes-base.stickyNote",
"position": [
-920,
1380
],
"parameters": {
"width": 400.8207630962184,
"height": 392.80719991071624,
"content": "日常维护"
},
"typeVersion": 1
},
{
"id": "04ab5b63-8def-4d49-9360-596261eb051c",
"name": "便签 6",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1140,
1140
],
"parameters": {
"color": 5,
"width": 195.58283685913963,
"height": 285.5933578465706,
"content": "确保我们不会重复发布相同内容。"
},
"typeVersion": 1
}
],
"active": true,
"pinData": {
"Schedule Trigger": [
{
"json": {
"Hour": "18",
"Year": "2024",
"Month": "December",
"Minute": "00",
"Second": "17",
"Timezone": "America/New_York (UTC-05:00)",
"timestamp": "2024-12-27T18:00:17.035-05:00",
"Day of week": "Friday",
"Day of month": "27",
"Readable date": "December 27th 2024, 6:00:17 pm",
"Readable time": "6:00:17 pm"
}
}
]
},
"settings": {
"executionOrder": "v1"
},
"versionId": "4c28d47d-811e-4b89-adeb-47da12abd378",
"connections": {
"X": {
"main": [
[
{
"node": "Update X Status",
"type": "main",
"index": 0
}
]
]
},
"Merge": {
"main": [
[
{
"node": "Filter Unposted Items",
"type": "main",
"index": 0
}
]
]
},
"Ping Me": {
"main": [
[
{
"node": "Wait for 5 mins before posting",
"type": "main",
"index": 0
}
]
]
},
"LinkedIn": {
"main": [
[
{
"node": "Update L Status",
"type": "main",
"index": 0
}
]
]
},
"Create Item": {
"main": [
[
{
"node": "Ping Me",
"type": "main",
"index": 0
}
]
]
},
"Search Item": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 0
}
]
]
},
"Extract Meta": {
"main": [
[
{
"node": "Search Item",
"type": "main",
"index": 0
},
{
"node": "Merge",
"type": "main",
"index": 1
}
]
]
},
"Crawl HN Home": {
"main": [
[
{
"node": "Extract Meta",
"type": "main",
"index": 0
}
]
]
},
"Visit GH Page": {
"main": [
[
{
"node": "Convert HTML To Markdown",
"type": "main",
"index": 0
}
]
]
},
"Filter Errored": {
"main": [
[
{
"node": "Create Item",
"type": "main",
"index": 0
}
]
]
},
"Update L Status": {
"main": [
[
{
"node": "No Operation, do nothing",
"type": "main",
"index": 0
}
]
]
},
"Update X Status": {
"main": [
[
{
"node": "No Operation, do nothing",
"type": "main",
"index": 0
}
]
]
},
"Generate Content": {
"main": [
[
{
"node": "Validate Generate Content",
"type": "main",
"index": 0
}
]
]
},
"Schedule Trigger": {
"main": [
[
{
"node": "Crawl HN Home",
"type": "main",
"index": 0
}
]
]
},
"Filter Unposted Items": {
"main": [
[
{
"node": "Visit GH Page",
"type": "main",
"index": 0
}
]
]
},
"Convert HTML To Markdown": {
"main": [
[
{
"node": "Generate Content",
"type": "main",
"index": 0
}
]
]
},
"Validate Generate Content": {
"main": [
[
{
"node": "Filter Errored",
"type": "main",
"index": 0
}
]
]
},
"Wait for 5 mins before posting": {
"main": [
[
{
"node": "X",
"type": "main",
"index": 0
},
{
"node": "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 - 人工智能, 营销
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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