This workflow follows the Airtable → Chainllm recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"name": "LinkedinComments (youtube)",
"nodes": [
{
"parameters": {
"content": "## Apify scrapers\n\nPost\nhttps://console.apify.com/actors/d0DhjXPjkkwm4W5xK/input\n\nComments\nhttps://console.apify.com/actors/2XnpwxfhSW1fAWElp/input\n\nUser Profile\nhttps://console.apify.com/actors/GOvL4O4RwFqsdIqXF/input\n\nCompany Profile\nhttps://console.apify.com/actors/AjfNXEI9qTA2IdaAX/input",
"height": 320,
"width": 420,
"color": 7
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
-980,
800
],
"id": "627ec45e-0881-4497-8ec3-078c50768758",
"name": "Sticky Note1"
},
{
"parameters": {
"method": "POST",
"url": "https://api.apify.com/v2/acts/2XnpwxfhSW1fAWElp/run-sync-get-dataset-items",
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "Accept",
"value": "application/json"
},
{
"name": "Authorization",
"value": "Bearer"
},
{
"name": "Accept",
"value": "application/json"
}
]
},
"sendBody": true,
"specifyBody": "json",
"jsonBody": "={\n \"postIds\": [\n \"{{$('getPost').item.json.post.url}}\"\n ],\n \"page_number\": 1,\n \"sortOrder\": \"most recent\",\n \"limit\": 100\n}",
"options": {
"redirect": {
"redirect": {}
}
}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
-700,
357.5
],
"id": "ac7162ec-effb-4f45-8fb7-ae9ca900bef1",
"name": "getComments"
},
{
"parameters": {
"method": "POST",
"url": "https://api.apify.com/v2/acts/GOvL4O4RwFqsdIqXF/run-sync-get-dataset-items",
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "Accept",
"value": "application/json"
},
{
"name": "Authorization",
"value": "Bearer "
},
{
"name": "Accept",
"value": "application/json"
}
]
},
"sendBody": true,
"specifyBody": "json",
"jsonBody": "={\n \"usernames\": [\n \"{{ $('Loop Over Items').item.json.commenterUrl }}\"\n ]\n} ",
"options": {
"redirect": {
"redirect": {}
},
"timeout": 30000
}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
776,
-40
],
"id": "7dd2fd8d-8629-41d5-afaf-cb919ada23fb",
"name": "getProfile",
"alwaysOutputData": true,
"onError": "continueRegularOutput"
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "3b27b467-abae-47ad-a7a3-fc77185380c9",
"name": "commenterName",
"value": "={{ $('getComments').item.json.author.name }}",
"type": "string"
},
{
"id": "2f477a3f-f109-4db8-b916-61a5cec6417a",
"name": "commenterUrl",
"value": "={{ $('getComments').item.json.author.profile_url }}",
"type": "string"
},
{
"id": "ab99b327-bfb7-4fc5-8f87-ed3c38f48015",
"name": "commenterHeadline",
"value": "={{ $('getComments').item.json.author.headline }}",
"type": "string"
},
{
"id": "f5ab3d10-d1fa-45f7-91c8-ad22ff2117c4",
"name": "commentText",
"value": "={{ $('getComments').item.json.text }}",
"type": "string"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
-260,
360
],
"id": "fe573eee-44b7-44a1-813f-4416476fc515",
"name": "commenterInfo"
},
{
"parameters": {
"method": "POST",
"url": "https://api.apify.com/v2/acts/AjfNXEI9qTA2IdaAX/run-sync-get-dataset-items",
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "Accept",
"value": "application/json"
},
{
"name": "Authorization",
"value": "Bearer "
},
{
"name": "Accept",
"value": "application/json"
}
]
},
"sendBody": true,
"specifyBody": "json",
"jsonBody": "={\n \"profileUrls\": [\n \"{{ $('getProfile').item.json.experience[0].company_linkedin_url }}\"\n ]\n}",
"options": {
"redirect": {
"redirect": {}
}
}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
1436,
-40
],
"id": "7e0a0aca-a6d5-4313-bee8-12a20c66a051",
"name": "getCompany",
"alwaysOutputData": true,
"onError": "continueRegularOutput"
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "77e72c3b-0703-4aee-ace9-cd28733d404b",
"name": "companyName",
"value": "={{ $('getCompany').item.json.companyName }}",
"type": "string"
},
{
"id": "31a726e7-6f05-4523-ad97-58e6f1bf1991",
"name": "websiteUrl",
"value": "={{ $('getCompany').item.json.websiteUrl }}",
"type": "string"
},
{
"id": "f12f0449-bdcf-4faf-9604-635d1a85b219",
"name": "url",
"value": "={{ $('getCompany').item.json.url }}",
"type": "string"
},
{
"id": "b6dcc152-f6f5-4c99-ad2c-c1e317086ad8",
"name": "industry",
"value": "={{ $json.output.type }}",
"type": "string"
},
{
"id": "ed45cab1-a2d6-436c-b2e9-61ae1188d9a2",
"name": "employeeCount",
"value": "={{ $('getCompany').item.json.employeeCount }}",
"type": "number"
},
{
"id": "60202439-7da2-4532-80ef-0d6871e3c852",
"name": "tagline",
"value": "={{ $json.output.description }}",
"type": "string"
},
{
"id": "3e657877-cc52-491f-a386-0aebad2f4af0",
"name": "followerCount",
"value": "={{ $('getCompany').item.json.followerCount }}",
"type": "number"
},
{
"id": "135bde4f-9115-47d6-9de3-267b4b296af6",
"name": "industryV2Taxonomy",
"value": "={{ $('getCompany').item.json.industryV2Taxonomy }}",
"type": "string"
},
{
"id": "63a6664b-ea58-4576-9786-73ede8d2f37b",
"name": "headquarter.country",
"value": "={{ $('getCompany').item.json.headquarter.country }}",
"type": "string"
},
{
"id": "fbbcd03d-8104-4e69-a54a-b7f5d052f6fd",
"name": "commenterRole",
"value": "={{ $('getProfile').item.json.experience[0].title }}",
"type": "string"
},
{
"id": "d740cce9-455a-4929-80a6-9779f824bf07",
"name": "qualified",
"value": "={{ $json.output.qualified }}",
"type": "string"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
2032,
-40
],
"id": "45e6b0c9-86ce-4014-b193-99f673a6226e",
"name": "companyInfo"
},
{
"parameters": {
"modelName": "models/gemini-2.0-flash",
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"typeVersion": 1,
"position": [
208,
180
],
"id": "f984c4bb-6302-46c7-bee6-12eff1803fcb",
"name": "Google Gemini Chat Model",
"credentials": {
"googlePalmApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.outputParserAutofixing",
"typeVersion": 1,
"position": [
1656,
180
],
"id": "b3c4f6f5-bff1-40a7-af3d-451caf6e14ae",
"name": "Auto-fixing Output Parser"
},
{
"parameters": {
"jsonSchemaExample": "{\n\t\"description\": \"one line description\",\n\t\"type\": \"SaaS\",\n \"qualified\" : \"YES\"\n}"
},
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"typeVersion": 1.2,
"position": [
1744,
375
],
"id": "a8a64244-d2c2-4005-8e14-ae6e1ad09bd8",
"name": "Structured Output Parser"
},
{
"parameters": {
"options": {}
},
"type": "n8n-nodes-base.splitInBatches",
"typeVersion": 3,
"position": [
-40,
357.5
],
"id": "f674a98d-01e6-4765-85f8-75805e67dc81",
"name": "Loop Over Items",
"alwaysOutputData": true
},
{
"parameters": {
"method": "POST",
"url": "https://api.apify.com/v2/acts/d0DhjXPjkkwm4W5xK/run-sync-get-dataset-items",
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "Accept",
"value": "application/json"
},
{
"name": "Authorization",
"value": "Bearer "
},
{
"name": "Accept",
"value": "application/json"
}
]
},
"sendBody": true,
"specifyBody": "json",
"jsonBody": "={\n \"post_url\": \"{{ $json.Post }}\"\n}",
"options": {
"redirect": {
"redirect": {}
}
}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
-920,
360
],
"id": "8caaccd0-2cca-4b00-a386-02b979165e13",
"name": "getPost"
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"id": "8885bc0b-7465-4350-a641-4142c22808ad",
"leftValue": "={{ $('getComments').item.json.author.name}}",
"rightValue": "={{ $('getPost').item.json.author.name }}",
"operator": {
"type": "string",
"operation": "notEquals"
}
},
{
"id": "7c96cc84-3cf4-42e1-bf94-5a86729c676e",
"leftValue": "={{ $('getComments').item.json.author.name}}",
"rightValue": "",
"operator": {
"type": "string",
"operation": "notEmpty",
"singleValue": true
}
}
],
"combinator": "and"
},
"options": {}
},
"type": "n8n-nodes-base.filter",
"typeVersion": 2.2,
"position": [
-480,
360
],
"id": "b1f9a125-c61b-4d1c-881d-0e990366cbd9",
"name": "filterAuthor"
},
{
"parameters": {
"operation": "upsert",
"base": {
"__rl": true,
"value": "apprh4AI6D3qVzN7A",
"mode": "list",
"cachedResultName": "Linkedin Comments",
"cachedResultUrl": "https://airtable.com/apprh4AI6D3qVzN7A"
},
"table": {
"__rl": true,
"value": "tblHgzisK8xfCO0Kz",
"mode": "list",
"cachedResultName": "Results",
"cachedResultUrl": "https://airtable.com/apprh4AI6D3qVzN7A/tblHgzisK8xfCO0Kz"
},
"columns": {
"mappingMode": "defineBelow",
"value": {
"User": "={{ $('commenterInfo').item.json.commenterName }}",
"Company": "={{ $('companyInfo').item.json.companyName }}",
"Industry": "={{ $('companyInfo').item.json.industry }}",
"Employees": "={{ $('companyInfo').item.json.employeeCount }}",
"Country": "={{ $('companyInfo').item.json.headquarter.country }}",
"Tagline": "={{ $('companyInfo').item.json.tagline }}",
"Website": "={{ $('companyInfo').item.json.websiteUrl }}",
"CompanyLinkedin": "={{ $('companyInfo').item.json.url }}",
"UserLinkedin": "={{ $('getProfile').item.json.profileUrl }}",
"Post": "={{ $('getPost').item.json.post.url }}",
"Comment": "={{ $('commenterInfo').item.json.commentText }}",
"Role": "={{ $('companyInfo').item.json.commenterRole }}",
"Qualified?": "={{ $('companyInfo').item.json.qualified.toUpperCase() }}",
"Script": "={{ $json.text }}"
},
"matchingColumns": [
"UserLinkedin"
],
"schema": [
{
"id": "id",
"displayName": "id",
"required": false,
"defaultMatch": true,
"display": true,
"type": "string",
"readOnly": true,
"removed": true
},
{
"id": "User",
"displayName": "User",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "Role",
"displayName": "Role",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "Industry",
"displayName": "Industry",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "Company",
"displayName": "Company",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "Employees",
"displayName": "Employees",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "number",
"readOnly": false,
"removed": false
},
{
"id": "Country",
"displayName": "Country",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "Qualified?",
"displayName": "Qualified?",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "options",
"options": [
{
"name": "YES",
"value": "YES"
},
{
"name": "NO",
"value": "NO"
}
],
"readOnly": false,
"removed": false
},
{
"id": "Tagline",
"displayName": "Tagline",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "Website",
"displayName": "Website",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "CompanyLinkedin",
"displayName": "CompanyLinkedin",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "UserLinkedin",
"displayName": "UserLinkedin",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "Comment",
"displayName": "Comment",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "Post",
"displayName": "Post",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "Email",
"displayName": "Email",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "Script",
"displayName": "Script",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
}
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {}
},
"type": "n8n-nodes-base.airtable",
"typeVersion": 2.1,
"position": [
2628,
133.75
],
"id": "316ea1bf-bede-43c9-80d5-e48a08b7b26d",
"name": "addLead",
"credentials": {
"airtableTokenApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"httpMethod": "POST",
"path": "f23190ff-f2c2-46dd-8d15-af00e14e2968",
"options": {}
},
"type": "n8n-nodes-base.webhook",
"typeVersion": 2,
"position": [
-1360,
357.5
],
"id": "9808d1a0-ec09-47cf-b405-ac874ba716e5",
"name": "Webhook"
},
{
"parameters": {
"operation": "search",
"base": {
"__rl": true,
"value": "apprh4AI6D3qVzN7A",
"mode": "list",
"cachedResultName": "Linkedin Comments",
"cachedResultUrl": "https://airtable.com/apprh4AI6D3qVzN7A"
},
"table": {
"__rl": true,
"value": "tblHgzisK8xfCO0Kz",
"mode": "list",
"cachedResultName": "Results",
"cachedResultUrl": "https://airtable.com/apprh4AI6D3qVzN7A/tblHgzisK8xfCO0Kz"
},
"filterByFormula": "={User}='{{ $('commenterInfo').item.json.commenterName }}'",
"options": {}
},
"type": "n8n-nodes-base.airtable",
"typeVersion": 2.1,
"position": [
996,
-40
],
"id": "66c1fd23-c143-4009-b2c6-c8aad59b8bc8",
"name": "isDuplicate",
"alwaysOutputData": true,
"credentials": {
"airtableTokenApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"id": "3fe999a0-fe75-49b1-b23a-ab672a75687e",
"leftValue": "={{ $json.id }}",
"rightValue": "",
"operator": {
"type": "string",
"operation": "notExists",
"singleValue": true
}
},
{
"id": "5be8bd65-2f8b-443a-abdd-215f29163a4e",
"leftValue": "={{ $('getProfile').item.json.experience[0].company_linkedin_url }}",
"rightValue": "linkedin.com/company/",
"operator": {
"type": "string",
"operation": "contains"
}
}
],
"combinator": "and"
},
"options": {}
},
"type": "n8n-nodes-base.if",
"typeVersion": 2.2,
"position": [
1216,
-40
],
"id": "fd60317f-1e78-4dee-8482-2be3422045d9",
"name": "If"
},
{
"parameters": {
"promptType": "define",
"text": "=### INPUTS \n\n\"prospectFullName\": {{ $('commenterInfo').item.json.commenterName }},\n\"author\": {{ $('getPost').item.json.author.name }}\n\"postContent\": {{ $('getPost').item.json.post.text }},\n\"triggerKeyword\": Extract from postContent,\n\n \n\"ourCredibility\": \"We\u2019ve deployed similar GTM systems on 25 successful product launches\",\n \n\"bonusOffer\": \"a 1\u2011click prompt pack that auto\u2011fills the checklist + a blocker\u2011tracking sheet\",\n \n\"companyCTA\": \"Want me to shoot it over?\"\n",
"messages": {
"messageValues": [
{
"message": "### ROLE\nYou are a SaaS growth operator who writes concise, friendly LinkedIn DMs that convert\n\u201clead\u2011magnet commenters\u201d into warm conversations without sounding spammy.\n\n### TASK\n1. Open with the prospect\u2019s first name (IMPORTANT TO USE FIRST NAME ONLY) and acknowledge that they commented with **{triggerKeyword} on {author} post* (don't pretend that you are author. Just be helpful)\n2. Compliment the original asset in one short line, showing you actually read the post.\n3. Establish credibility using **{ourCredibility}** ( keep it to one clause ).\n4. Offer the **{bonusOffer}** for free, stressing it helps whether they\u2019ve started or not.\n5. End with a soft yes/no question (\u201cWant me to shoot it over?\u201d).\n6. Add *one* unobtrusive line for the **{companyCTA}** only after the ask.\n7. Keep total length \u2264 80 words. Use plain language\u2014no emojis unless the trigger keyword contains one.\n8. Return **only** the final DM text, no explanations.\n\n### OUTPUT\n<DM script>\n"
}
]
}
},
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"typeVersion": 1.6,
"position": [
2252,
-40
],
"id": "3d43b687-632c-4e6e-b177-2de21c39b51d",
"name": "writeScript"
},
{
"parameters": {
"promptType": "define",
"text": "=Company inputs:\nCompany name: {{ $json.companyName }}\nTagline: {{ $json.tagline }}\nDescription: {{ $json.description }}\nIndustry: {{ $json.industry }}\nTaxonomy: {{ $json.industryV2Taxonomy }}\nNumber of employees: {{ $json.employeeCount }}\nLocation: {{ $json.headquarter.country }} + {{ $json.headquarter.city }}\n\nPerson inputs:\nName: {{ $('commenterInfo').item.json.commenterName }}\nHow they describe themselves: {{ $('commenterInfo').item.json.commenterHeadline }}\nRole: {{ $('getProfile').item.json.experience[0].title }}\n\nQualification criteria:\nThe person is considered qualified if all of the following are true:\n\n- The company is in one of these industries:\n-- Any industry\n\n- The company is located in:\n-- United states\n-- Canada\n-- Anywhere in Europe\n\n- The company has between: \n-- 10 and 500 employees\n\n- The person holds:\n-- Any position\n\nReturn YES or NO\n",
"hasOutputParser": true,
"messages": {
"messageValues": [
{
"message": "Based on the LinkedIn company data provided below, write a concise one-liner that includes:\n\nBusiness Type: Classify the company (e.g., SaaS, Marketing Agency, E-commerce, Recruitment Agency, Freelancer).\n\nDescription: A single, clear sentence summarizing what the company does.\n\nQualification: YES or NO\n\nEnsure the output is brief, accurate, and strictly follows this structure."
}
]
}
},
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"typeVersion": 1.6,
"position": [
1660,
-40
],
"id": "fe81c6e7-489d-4c8c-a764-11c1628738af",
"name": "qualifyLead"
},
{
"parameters": {
"base": {
"__rl": true,
"value": "apprh4AI6D3qVzN7A",
"mode": "list",
"cachedResultName": "Linkedin Comments",
"cachedResultUrl": "https://airtable.com/apprh4AI6D3qVzN7A"
},
"table": {
"__rl": true,
"value": "tblaUPVjCSk1v2yGK",
"mode": "list",
"cachedResultName": "Posts",
"cachedResultUrl": "https://airtable.com/apprh4AI6D3qVzN7A/tblaUPVjCSk1v2yGK"
},
"id": "={{ $json.body.id }}",
"options": {}
},
"type": "n8n-nodes-base.airtable",
"typeVersion": 2.1,
"position": [
-1140,
357.5
],
"id": "e362fe28-ad85-4ce9-a1d7-81f667c130b0",
"name": "getPostUrl",
"credentials": {
"airtableTokenApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"content": "\n",
"width": 740,
"color": 7
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
-980,
580
],
"id": "98b75b72-fa61-40a5-827e-6af774211987",
"name": "Sticky Note"
},
{
"parameters": {
"content": "## Airtable Base\nhttps://airtable.com/apprh4AI6D3qVzN7A/shrAlmkVmhheHOOfN\n\n## Airtable Script\n\nlet config = input.config();\n\nlet payload = {\n id: config.recordId\n};\n\nawait fetch(\"Your Webhook URL\", {\n method: \"POST\",\n headers: { \"Content-Type\": \"application/json\" },\n body: JSON.stringify(payload)\n});\n",
"height": 320,
"width": 420,
"color": 7
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
-520,
800
],
"id": "1b14b1fe-dd2b-4fbb-8e3f-c65fedcc88e3",
"name": "Sticky Note2"
},
{
"parameters": {
"jsonSchemaExample": "{\n\t\"answer\": \"YES\"\n}"
},
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"typeVersion": 1.2,
"position": [
400,
180
],
"id": "2a03775d-1458-4a67-9675-b07d9b957616",
"name": "Structured Output Parser1"
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"id": "a93b8244-3324-4ca5-83f5-976e2da7aeea",
"leftValue": "={{ $json.output.answer }}",
"rightValue": "YES",
"operator": {
"type": "string",
"operation": "equals",
"name": "filter.operator.equals"
}
}
],
"combinator": "and"
},
"options": {}
},
"type": "n8n-nodes-base.if",
"typeVersion": 2.2,
"position": [
556,
-40
],
"id": "9847ebe5-c26f-4756-9004-07a7492ec22d",
"name": "IfLead"
},
{
"parameters": {
"promptType": "define",
"text": "=Post: {{ $('getPost').item.json.post.text }}\nComment: {{ $('getComments').item.json.text }}",
"hasOutputParser": true,
"messages": {
"messageValues": [
{
"message": "You are a helpful assistant.\nYour task is to analyze a post and a comment.\n\nIf the post explicitly asks for a keyword, and the comment includes that keyword, return YES.\n\nIn all other cases\u2014whether the post doesn\u2019t ask for a keyword, or the comment doesn\u2019t mention it\u2014return NO."
}
]
}
},
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"typeVersion": 1.6,
"position": [
180,
-40
],
"id": "c52f4abd-2b98-449d-8ba0-b087d8b770ee",
"name": "hasIntent"
},
{
"parameters": {
"content": "### Update API key",
"height": 400,
"width": 180,
"color": 3
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
1400,
-180
],
"id": "af76de9d-ef66-4124-88d7-f43d35dd74cd",
"name": "Sticky Note3"
},
{
"parameters": {
"content": "### Update API key",
"height": 400,
"width": 180,
"color": 3
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
740,
-180
],
"id": "9de2ac28-8413-4794-954d-5e24603c23be",
"name": "Sticky Note4"
},
{
"parameters": {
"content": "### Update API key",
"height": 400,
"width": 400,
"color": 3
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
-960,
180
],
"id": "66b3a28d-2f01-4462-a1dd-4760c5edf253",
"name": "Sticky Note5"
}
],
"connections": {
"getComments": {
"main": [
[
{
"node": "filterAuthor",
"type": "main",
"index": 0
}
]
]
},
"commenterInfo": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"getProfile": {
"main": [
[
{
"node": "isDuplicate",
"type": "main",
"index": 0
}
]
]
},
"getCompany": {
"main": [
[
{
"node": "qualifyLead",
"type": "main",
"index": 0
}
],
[]
]
},
"companyInfo": {
"main": [
[
{
"node": "writeScript",
"type": "main",
"index": 0
}
]
]
},
"Google Gemini Chat Model": {
"ai_languageModel": [
[
{
"node": "qualifyLead",
"type": "ai_languageModel",
"index": 0
},
{
"node": "Auto-fixing Output Parser",
"type": "ai_languageModel",
"index": 0
},
{
"node": "writeScript",
"type": "ai_languageModel",
"index": 0
},
{
"node": "hasIntent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Auto-fixing Output Parser": {
"ai_outputParser": [
[
{
"node": "qualifyLead",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"Structured Output Parser": {
"ai_outputParser": [
[
{
"node": "Auto-fixing Output Parser",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"Loop Over Items": {
"main": [
[],
[
{
"node": "hasIntent",
"type": "main",
"index": 0
}
]
]
},
"getPost": {
"main": [
[
{
"node": "getComments",
"type": "main",
"index": 0
}
]
]
},
"filterAuthor": {
"main": [
[
{
"node": "commenterInfo",
"type": "main",
"index": 0
}
]
]
},
"addLead": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"Webhook": {
"main": [
[
{
"node": "getPostUrl",
"type": "main",
"index": 0
}
]
]
},
"isDuplicate": {
"main": [
[
{
"node": "If",
"type": "main",
"index": 0
}
]
]
},
"If": {
"main": [
[
{
"node": "getCompany",
"type": "main",
"index": 0
}
],
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"writeScript": {
"main": [
[
{
"node": "addLead",
"type": "main",
"index": 0
}
]
]
},
"qualifyLead": {
"main": [
[
{
"node": "companyInfo",
"type": "main",
"index": 0
}
]
]
},
"getPostUrl": {
"main": [
[
{
"node": "getPost",
"type": "main",
"index": 0
}
]
]
},
"Structured Output Parser1": {
"ai_outputParser": [
[
{
"node": "hasIntent",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"IfLead": {
"main": [
[
{
"node": "getProfile",
"type": "main",
"index": 0
}
],
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"hasIntent": {
"main": [
[
{
"node": "IfLead",
"type": "main",
"index": 0
}
]
]
}
},
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "4f03e65b-0506-4d94-b0d3-78630c3c1baf",
"meta": {
"templateCredsSetupCompleted": true
},
"id": "6WzIBM6lHvwOC73h",
"tags": []
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
airtableTokenApigooglePalmApi
Pro
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
How this works
This workflow automates the extraction and summarisation of YouTube comments for sharing on LinkedIn, saving you hours of manual curation by pulling in detailed commenter profiles and company insights. It targets content creators, marketers, and social media managers who want to repurpose video discussions into professional posts without sifting through raw data. The key step involves using Google Gemini to intelligently parse and condense comments alongside profile details, generating concise, engaging summaries ready for LinkedIn.
Use this workflow when you need quick, AI-enhanced overviews of YouTube feedback to spark LinkedIn conversations or reports, especially for ongoing video series. Avoid it for real-time comment monitoring, as it's designed for batch processing via webhook triggers; opt for simpler tools if you lack API access to YouTube or LinkedIn. Common variations include swapping Google Gemini for another LLM like chainLlm for custom tones, or integrating Airtable to store parsed outputs for team collaboration.
About this workflow
LinkedinComments (youtube). Uses stickyNote, httpRequest, lmChatGoogleGemini, outputParserAutofixing. Webhook trigger; 27 nodes.
Source: https://github.com/Zie619/n8n-workflows — original creator credit. Request a take-down →
Related workflows
Workflows that share integrations, category, or trigger type with this one. All free to copy and import.
Ad Agency in a box. Uses httpRequest, splitOut, outputParserStructured, chainLlm. Webhook trigger; 54 nodes.
HTTP Request, Output Parser Structured, Chain Llm +5
This workflow makes it easier to prepare for meetings and calls by researching your lead right before the call and creates a high-level meeting prep that is sent to your email. This removes the extra
OpenRouter Chat, Airtable, Chain Llm +2
AI Lead Qualification & Roting System. Uses httpRequest, twilio, airtable. Webhook trigger; 26 nodes.
HTTP Request, Twilio, Airtable
LH → n8n → Apollo + Dropcontact → Airtable → Smartlead. Uses airtable, httpRequest. Webhook trigger; 13 nodes.
Airtable, HTTP Request
TechSavvy Hawaii — Main Lead Intake. Uses airtable, emailSend, httpRequest. Webhook trigger; 9 nodes.
Airtable, Email Send, HTTP Request