Workflow n8n
Automatisation Telegram avec n8n : gestion de contenu AI
Ce workflow n8n a pour objectif d'automatiser la gestion de contenu sur Telegram en utilisant des agents AI. Dans un contexte où la présence sur les réseaux sociaux est cruciale pour les entreprises, ce workflow permet de récupérer des informations pertinentes, de les traiter et de les publier automatiquement, réduisant ainsi le temps consacré à la gestion manuelle des publications. Les cas d'usage incluent la publication d'articles, de mises à jour de produits ou d'annonces importantes sur Telegram, tout en s'assurant que le contenu soit optimisé et pertinent pour l'audience cible. Le workflow débute avec un déclencheur planifié qui active le processus à intervalles réguliers. L'étape suivante consiste à récupérer les données depuis Hacker News via une requête HTTP. Ensuite, le contenu est extrait et filtré pour ne conserver que les éléments non publiés. Après cela, le contenu est converti en format Markdown pour une meilleure présentation. Une fois le contenu validé, il est programmé pour être publié sur Telegram, LinkedIn et Twitter, permettant ainsi une diffusion multicanale. Des étapes de vérification et de mise à jour des statuts dans Airtable garantissent que toutes les informations sont à jour et que les erreurs sont gérées efficacement. Les bénéfices business de ce workflow incluent une réduction significative du temps de gestion des réseaux sociaux, une amélioration de la cohérence des publications et une augmentation de l'engagement des utilisateurs grâce à un contenu toujours frais et pertinent. En intégrant des outils d'automatisation n8n, les entreprises peuvent se concentrer sur leur cœur de métier tout en maintenant une présence active et engageante sur les réseaux sociaux. Tags clés : automatisation, Telegram, n8n.
Catégorie: Scheduled · Tags: automatisation, Telegram, n8n, contenu, AI❤ 0
Vue d'ensemble du workflow n8n
Schéma des nœuds et connexions de ce workflow n8n, généré à partir du JSON n8n.
Détail des nœuds du workflow n8n
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"id": "ZeSJSbwXI593H1Qj",
"meta": {
"instanceId": "8e1a7e3413df437923cda0e92c098469371d84f7001856e525beaff17be8b941",
"templateCredsSetupCompleted": true
},
"name": "Social Media AI Agent - Telegram",
"tags": [],
"nodes": [
{
"id": "814303e0-5fe9-474e-a4ed-e4a728fd4acf",
"name": "Crawl HN Home",
"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": "Extract Meta",
"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": "Filter Unposted Items",
"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": "Visit GH Page",
"type": "n8n-nodes-base.httpRequest",
"position": [
-420,
1420
],
"parameters": {
"url": "={{ $json.url }}",
"options": {}
},
"typeVersion": 4.2
},
{
"id": "f156ca8e-7963-42b9-9612-9ab5efc53be4",
"name": "Convert HTML To 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": "Filter Errored",
"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": "No Operation, do nothing",
"type": "n8n-nodes-base.noOp",
"position": [
1760,
1540
],
"parameters": {},
"typeVersion": 1
},
{
"id": "48856b3b-a951-4e7f-a0b8-410a71e9b0a7",
"name": "Update X Status",
"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": "Update L Status",
"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": "Search Item",
"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": "Create Item",
"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": "={{ $('Filter Errored').item.json.message.content.twitter }}",
"additionalFields": {}
},
"credentials": {
"twitterOAuth2Api": {
"id": "YQyS9lQTpZtZkefS",
"name": "X account"
}
},
"executeOnce": false,
"typeVersion": 2
},
{
"id": "58869c5b-9fb2-4f76-8788-68056cda45b0",
"name": "Validate Generate Content",
"type": "n8n-nodes-base.code",
"onError": "continueRegularOutput",
"position": [
180,
1680
],
"parameters": {
"mode": "runOnceForEachItem",
"jsCode": "if ($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": "Schedule Trigger",
"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": "Merge",
"type": "n8n-nodes-base.merge",
"position": [
-840,
1420
],
"parameters": {},
"typeVersion": 3,
"alwaysOutputData": true
},
{
"id": "3529fba4-173c-4378-ae69-43a3bae0813f",
"name": "Generate Content",
"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": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-320,
960
],
"parameters": {
"width": 619.8433261701165,
"height": 97.20332107671479,
"content": "Automate the curation and sharing of trending GitHub discussions from Hacker News to Twitter and LinkedIn. This workflow leverages AI to generate engaging posts, streamlining your social media content creation and distribution.\n\n"
},
"typeVersion": 1
},
{
"id": "20704a99-1234-46dc-b8c8-860b051b3b85",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1620,
1520
],
"parameters": {
"color": 5,
"width": 524.8824946275869,
"height": 420.37647358435385,
"content": "I crawl Hacker News and extract Github links."
},
"typeVersion": 1
},
{
"id": "5cfa2c30-6c88-429a-8b5f-0034d2352cc2",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-480,
1280
],
"parameters": {
"color": 5,
"width": 828.144505037599,
"height": 670.031562962293,
"content": "This is where the magic happens. I use the Github url extracted earlier and visit Github page to get more insights in the project being shared. Then I ask Chat GPT very nicely to help me get a Tweet and a LinkedIn post"
},
"typeVersion": 1
},
{
"id": "caec3df6-ddcc-4959-94e1-18163cf3128f",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
1100,
1280
],
"parameters": {
"color": 5,
"width": 285.9487894560623,
"height": 751.2077576680031,
"content": "One last magic trick, Send the generated Tweet and the post to the respective platforms."
},
"typeVersion": 1
},
{
"id": "89c8472d-3329-4f94-a656-2539e061eeb0",
"name": "Ping Me",
"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": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
640,
1300
],
"parameters": {
"color": 5,
"width": 264.5060210432334,
"height": 307.03612625939974,
"content": "Just pinging the owner that something is about to be posted and wait for 5 mins before final posting."
},
"typeVersion": 1
},
{
"id": "01c2f7ff-ff6c-4a60-9581-f8c5f3985792",
"name": "Wait for 5 mins before posting",
"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": "Sticky Note5",
"type": "n8n-nodes-base.stickyNote",
"position": [
-920,
1380
],
"parameters": {
"width": 400.8207630962184,
"height": 392.80719991071624,
"content": "CHORE"
},
"typeVersion": 1
},
{
"id": "04ab5b63-8def-4d49-9360-596261eb051c",
"name": "Sticky Note6",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1140,
1140
],
"parameters": {
"color": 5,
"width": 195.58283685913963,
"height": 285.5933578465706,
"content": "Make sure we don't post the same content again."
},
"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
}
]
]
}
}
}Pour qui est ce workflow ?
Ce workflow s'adresse aux entreprises de toutes tailles souhaitant automatiser leur présence sur les réseaux sociaux, en particulier celles qui utilisent Telegram comme canal de communication. Il est idéal pour les équipes marketing, les community managers et les entreprises tech qui cherchent à intégrer des solutions d'automatisation sans nécessiter de compétences techniques avancées.
Problème résolu
Ce workflow résout le problème de la gestion manuelle des publications sur les réseaux sociaux, qui peut être chronophage et sujet à des erreurs. En automatisant le processus, les utilisateurs éliminent les frustrations liées à la planification et à la publication de contenu, tout en garantissant que les informations partagées sont toujours à jour et pertinentes. Le résultat est une présence en ligne plus dynamique et engageante, avec un minimum d'efforts manuels.
Étapes du workflow
Étape 1 : Le workflow est déclenché par un planificateur qui active le processus à intervalles réguliers. Étape 2 : Une requête HTTP est effectuée pour récupérer les données depuis Hacker News. Étape 3 : Le contenu est extrait et filtré pour ne conserver que les éléments qui n'ont pas encore été publiés. Étape 4 : Le contenu est converti en format Markdown pour une meilleure présentation. Étape 5 : Le contenu validé est ensuite programmé pour être publié sur Telegram, LinkedIn et Twitter. Étape 6 : Des mises à jour de statut dans Airtable sont effectuées pour assurer le suivi des publications et gérer les erreurs éventuelles.
Guide de personnalisation du workflow n8n
Pour personnaliser ce workflow, vous pouvez modifier l'URL de la requête HTTP pour récupérer des données d'autres sources. Il est également possible d'ajuster les paramètres de publication sur Telegram, LinkedIn et Twitter en fonction de vos besoins spécifiques. Pour intégrer d'autres outils, vous pouvez ajouter des noeuds supplémentaires à chaque étape du processus. Assurez-vous de sécuriser le flux en configurant correctement les autorisations d'accès aux API et en surveillant les performances via Airtable.