{ "id": "4poK6alRCRmCQ2lo", "meta": { "templateCredsSetupCompleted": true }, "name": "Comment Analyse and Reporter", "tags": [], "nodes": [ { "id": "311c70f0-4471-400f-8aa1-02d5410a30a2", "name": "Run Every 15 Minutes", "type": "n8n-nodes-base.cron", "position": [ -1040, -320 ], "parameters": {}, "typeVersion": 1 }, { "id": "a03df491-a798-4992-8838-39574fd04f3f", "name": "Search LinkedIn Posts via SerpAPI", "type": "n8n-nodes-serpapi.serpApi", "position": [ -816, -320 ], "parameters": { "q": "site:linkedin.com/posts (\"Techdome\" OR \"Employee of techdome\")", "requestOptions": {}, "additionalFields": {} }, "credentials": { "serpApi": { "name": "" } }, "typeVersion": 1 }, { "id": "4f832192-6aab-472c-9415-6c2a8971eb9a", "name": "Fetch Post Comments via ConnectSafely", "type": "n8n-nodes-connectsafely-ai.connectSafelyLinkedIn", "position": [ -368, -320 ], "parameters": { "postUrl": "={{ $json.post_url }}", "accountId": "695ce64a09c18d6bbbe90ed0", "operation": "getAllPostComments" }, "credentials": { "connectSafelyApi": { "name": "" } }, "typeVersion": 1 }, { "id": "4dcb09ba-2ccc-4207-9aa7-08d563fff0c8", "name": "Parse & Filter Search Results", "type": "n8n-nodes-base.code", "position": [ -592, -320 ], "parameters": { "jsCode": "// ---------------------------\n// COLLECT ALL POSSIBLE RESULTS\n// ---------------------------\nconst data = items[0].json;\n\nconst results = [\n ...(data.organic_results || []),\n ...(data.inline_results || []),\n ...(data.discussions || []),\n ...(data.forums || []),\n];\n\nconst problemKeywords = [\n 'problem',\n 'issue',\n 'manual',\n 'not working',\n 'struggling',\n 'pain',\n 'challenge',\n 'empty',\n 'ghosted',\n 'ghosting',\n 'not enough',\n 'low',\n 'hard',\n 'difficult',\n 'miss',\n 'failing'\n];\n\nconst output = results.map(post => {\n const postUrl = post.link || '';\n let platform = 'Unknown';\n let username = null;\n let postId = null;\n let authorName = null;\n\n // ---------------------------\n // LINKEDIN DETECTION\n // ---------------------------\n if (/linkedin\\.com\\/posts\\//i.test(postUrl)) {\n platform = 'LinkedIn';\n\n const match = postUrl.match(/linkedin\\.com\\/posts\\/([^_]+).*?(\\d{8,})/i);\n if (match) {\n username = match[1];\n postId = match[2];\n }\n\n authorName = post.source\n ? post.source.replace('LinkedIn \u00b7 ', '').trim()\n : null;\n }\n\n // ---------------------------\n // REDDIT DETECTION (ROBUST)\n // ---------------------------\n if (/reddit\\.com/i.test(postUrl)) {\n platform = 'Reddit';\n\n const redditMatch = postUrl.match(\n /reddit\\.com\\/r\\/([^/]+)\\/comments\\/([^/]+)/i\n );\n\n if (redditMatch) {\n username = `r/${redditMatch[1]}`;\n postId = redditMatch[2];\n }\n\n authorName = post.source\n ? post.source.replace('Reddit \u00b7 ', '').trim()\n : username;\n }\n\n // ---------------------------\n // PROBLEM DETECTION\n // ---------------------------\n const text = `${post.title || ''} ${post.snippet || ''}`.toLowerCase();\n\n const detectedProblems = problemKeywords.filter(k =>\n text.includes(k)\n );\n\n return {\n json: {\n platform,\n author_name: authorName,\n username,\n post_id: postId,\n post_url: postUrl || null,\n post_title: post.title || null,\n post_snippet: post.snippet || null,\n engagement_hint: post.displayed_link || null,\n problem_keywords_detected: detectedProblems,\n is_problem_post: detectedProblems.length > 0\n }\n };\n});\n\n// REMOVE EMPTY / UNKNOWN URL RESULTS\nreturn output.filter(item => item.json.post_url);\n\n" }, "typeVersion": 2 }, { "id": "ba32dca4-ff48-4310-8a8a-86003adaf7af", "name": "AI Intent Detection Agent", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ 80, -320 ], "parameters": { "text": "=Analyze the following LinkedIn comment and identify lead intent.\n\nPost URL:\n{{ $json.postUrl }}\n\nPost Content:\n{{ $json.postContent }}\n\nCommenter Name:\n{{ $json.commenterName }}\n\nComment Text:\n{{ $json.commentText }}\n\nReturn the result in the following JSON format ONLY:\n\n{\n \"postUrl\": \"{{ $json.postUrl }}\",\n \"leadName\": \"{{ $json.commenterName }}\",\n \"comment\": \"{{ $json.commentText }}\",\n \"intentScore\": number,\n \"intentLabel\": \"no-intent | passive-interest | problem-aware | solution-aware | high-intent\"\n}\n", "options": { "systemMessage": "=You are a B2B sales intent detection agent.\n\nYour job is to analyze LinkedIn post context and comment text to identify whether the commenter shows buying intent, problem awareness, or decision-maker interest.\n\nYou must:\n- Use ONLY the data provided in the input\n- Infer intent from wording, tone, and relevance to the post\n- Be conservative: do not hallucinate intent\n- Prefer precision over recall\n\nScoring rules:\n- 0\u201320 \u2192 No intent (generic praise, agreement, emojis)\n- 21\u201340 \u2192 Passive interest (thoughtful comment, but no problem ownership)\n- 41\u201360 \u2192 Problem-aware (mentions pain points, challenges, or agreement with problem)\n- 61\u201380 \u2192 Solution-aware (implies need for solution, improvement, or optimization)\n- 81\u2013100 \u2192 High buying intent (clear ownership, decision role, desire to act)\n\nIf intent is below 30, still return the record but mark it as \"low-intent\".\n\nOutput MUST be valid JSON and follow the exact schema provided.\nDo not add explanations or extra text.\n" }, "promptType": "define" }, "typeVersion": 3 }, { "id": "32e43c34-820d-419f-9197-7daa3f985722", "name": "Flatten Comments into Rows", "type": "n8n-nodes-base.code", "position": [ -144, -320 ], "parameters": { "jsCode": "const results = [];\n\nfor (const item of items) {\n const post = item.json;\n\n const postUrl = post.postUrl || '';\n const postContent = post.postDetails?.content || '';\n const activityUrn = post.postDetails?.activityUrn || null;\n\n const comments = post.comments || [];\n\n for (const comment of comments) {\n results.push({\n json: {\n // Post info\n postUrl,\n activityUrn,\n postContent,\n\n // Comment info\n commentId: comment.commentId,\n commentText: comment.commentText,\n commenterName: comment.authorName,\n commenterProfileUrl: comment.profileUrl || null,\n commenterUrn: comment.commenterUrn || null,\n\n // Metadata\n createdAt: comment.createdAt,\n likeCount: comment.likeCount,\n replyCount: comment.replyCount,\n isProfile: comment.hasProfile\n }\n });\n }\n}\n\nreturn results;\n" }, "typeVersion": 2 }, { "id": "356016ed-0627-4f62-bd71-8e0a329d7b38", "name": "Parse AI Intent Output", "type": "n8n-nodes-base.code", "position": [ 432, -320 ], "parameters": { "jsCode": "const results = [];\n\nfor (const item of items) {\n // Skip empty or invalid outputs safely\n if (!item.json.output) continue;\n\n let parsed;\n try {\n parsed = JSON.parse(item.json.output);\n } catch (e) {\n // If parsing fails, skip this record\n continue;\n }\n\n results.push({\n json: {\n postUrl: parsed.postUrl || null,\n leadName: parsed.leadName || null,\n comment: parsed.comment || null,\n intentScore: parsed.intentScore ?? null,\n intentLabel: parsed.intentLabel || null\n }\n });\n}\n\nreturn results;\n" }, "typeVersion": 2 }, { "id": "7f0af878-ec31-4116-b5e6-eb97c45ea8a9", "name": "Save Leads to Google Sheet", "type": "n8n-nodes-base.googleSheets", "position": [ 656, -320 ], "parameters": { "columns": { "value": { "comment": "={{ $json.comment }}", "post_url": "={{ $json.postUrl }}", "lead name": "={{ $json.leadName }}", "intent label": "={{ $json.intentLabel }}", "intent score": "={{ $json.intentScore }}" }, "schema": [ { "id": "post_url", "type": "string", "display": true, "required": false, "displayName": "post_url", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "lead name", "type": "string", "display": true, "removed": false, "required": false, "displayName": "lead name", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "comment", "type": "string", "display": true, "required": false, "displayName": "comment", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "intent score", "type": "string", "display": true, "required": false, "displayName": "intent score", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "intent label", "type": "string", "display": true, "required": false, "displayName": "intent label", "defaultMatch": false, "canBeUsedToMatch": true } ], "mappingMode": "autoMapInputData", "matchingColumns": [], "attemptToConvertTypes": false, "convertFieldsToString": false }, "options": {}, "operation": "append", "sheetName": { "__rl": true, "mode": "list", "value": 1996970241, "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1hXDNE90IFbXLgyLt2XwSHgI_9sASzTSM9LAA4cUDFj4/edit#gid=1996970241", "cachedResultName": "Sheet2" }, "documentId": { "__rl": true, "mode": "list", "value": "1hXDNE90IFbXLgyLt2XwSHgI_9sASzTSM9LAA4cUDFj4", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1hXDNE90IFbXLgyLt2XwSHgI_9sASzTSM9LAA4cUDFj4/edit?usp=drivesdk", "cachedResultName": "Post Scraping" } }, "credentials": { "googleSheetsOAuth2Api": { "name": "" } }, "typeVersion": 4.7 }, { "id": "75ef2c71-7b3c-475d-9337-c7d061301fbb", "name": "Azure OpenAI Chat Model", "type": "@n8n/n8n-nodes-langchain.lmChatAzureOpenAi", "position": [ 160, -96 ], "parameters": { "model": "gpt-4o-mini", "options": {} }, "credentials": { "azureOpenAiApi": { "name": "" } }, "typeVersion": 1 }, { "id": "2df8d882-61e5-42f3-95f7-dfd248c19d5d", "name": "Google Sheets Trigger", "type": "n8n-nodes-base.googleSheetsTrigger", "position": [ -1040, 112 ], "parameters": { "options": {}, "pollTimes": { "item": [ { "mode": "everyMinute" } ] }, "sheetName": { "__rl": true, "mode": "list", "value": 1996970241, "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1hXDNE90IFbXLgyLt2XwSHgI_9sASzTSM9LAA4cUDFj4/edit#gid=1996970241", "cachedResultName": "Sheet2" }, "documentId": { "__rl": true, "mode": "list", "value": "1hXDNE90IFbXLgyLt2XwSHgI_9sASzTSM9LAA4cUDFj4", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1hXDNE90IFbXLgyLt2XwSHgI_9sASzTSM9LAA4cUDFj4/edit?usp=drivesdk", "cachedResultName": "Post Scraping" } }, "credentials": { "googleSheetsTriggerOAuth2Api": { "name": "" } }, "typeVersion": 1 }, { "id": "df24c01b-5a8b-47de-b76d-44ec84289b04", "name": "AI Agent", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ -816, 16 ], "parameters": { "text": "Draft a suitable reply for the commentes for proper sentiments", "options": {}, "promptType": "define" }, "typeVersion": 3 }, { "id": "bdebac9a-51a7-46a4-a39d-d8af16e2bce7", "name": "Azure OpenAI Chat Model1", "type": "@n8n/n8n-nodes-langchain.lmChatAzureOpenAi", "position": [ -752, 240 ], "parameters": { "model": "gpt-4o-mini", "options": {} }, "credentials": { "azureOpenAiApi": { "name": "" } }, "typeVersion": 1 }, { "id": "7cdc0bec-cb28-4240-b948-11c55e1f20b2", "name": "Code in JavaScript2", "type": "n8n-nodes-base.code", "position": [ -464, 112 ], "parameters": { "jsCode": "// Loop over input items and add a new field called 'myNewField' to the JSON of each one\nfor (const item of $input.all()) {\n item.json.myNewField = 1;\n}\n\nreturn $input.all();" }, "typeVersion": 2 }, { "id": "31d68c55-0e83-4100-9665-5f8356bc4656", "name": "Append or update row in sheet", "type": "n8n-nodes-base.googleSheets", "position": [ -240, 112 ], "parameters": { "columns": { "value": {}, "schema": [], "mappingMode": "autoMapInputData", "matchingColumns": [], "attemptToConvertTypes": false, "convertFieldsToString": false }, "options": {}, "operation": "appendOrUpdate", "sheetName": { "__rl": true, "mode": "list", "value": 1996970241, "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1hXDNE90IFbXLgyLt2XwSHgI_9sASzTSM9LAA4cUDFj4/edit#gid=1996970241", "cachedResultName": "Sheet2" }, "documentId": { "__rl": true, "mode": "list", "value": "1hXDNE90IFbXLgyLt2XwSHgI_9sASzTSM9LAA4cUDFj4", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1hXDNE90IFbXLgyLt2XwSHgI_9sASzTSM9LAA4cUDFj4/edit?usp=drivesdk", "cachedResultName": "Post Scraping" } }, "credentials": { "googleSheetsOAuth2Api": { "name": "" } }, "typeVersion": 4.7 }, { "id": "91de8c1f-3442-4edc-951d-e0907da31fa0", "name": "Google Sheets Trigger1", "type": "n8n-nodes-base.googleSheetsTrigger", "position": [ -1040, 448 ], "parameters": { "options": {}, "pollTimes": { "item": [ { "mode": "everyMinute" } ] }, "sheetName": { "__rl": true, "mode": "list", "value": 1996970241, "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1hXDNE90IFbXLgyLt2XwSHgI_9sASzTSM9LAA4cUDFj4/edit#gid=1996970241", "cachedResultName": "Sheet2" }, "documentId": { "__rl": true, "mode": "list", "value": "1hXDNE90IFbXLgyLt2XwSHgI_9sASzTSM9LAA4cUDFj4", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1hXDNE90IFbXLgyLt2XwSHgI_9sASzTSM9LAA4cUDFj4/edit?usp=drivesdk", "cachedResultName": "Post Scraping" } }, "credentials": { "googleSheetsTriggerOAuth2Api": { "name": "" } }, "typeVersion": 1 }, { "id": "baf4b709-326d-4a29-a172-cdccfeee6ece", "name": "Code in JavaScript3", "type": "n8n-nodes-base.code", "position": [ -816, 448 ], "parameters": { "jsCode": "// Loop over input items and add a new field called 'myNewField' to the JSON of each one\nfor (const item of $input.all()) {\n item.json.myNewField = 1;\n}\n\nreturn $input.all();" }, "typeVersion": 2 }, { "id": "0b752ec9-cf45-4406-9cb2-41419f925a8e", "name": "Send a message", "type": "n8n-nodes-base.gmail", "position": [ -592, 448 ], "parameters": { "sendTo": "info@example.com", "message": "", "options": {}, "subject": "" }, "credentials": { "gmailOAuth2": { "name": "" } }, "typeVersion": 2.2 }, { "id": "94cf4921-5e78-4f51-bf0c-5dc9aac3448d", "name": "Trigger Every 15 Minutes", "type": "n8n-nodes-base.cron", "position": [ -992, 1024 ], "parameters": {}, "typeVersion": 1 }, { "id": "a4caaaa9-92f6-4b3e-93d6-912cc95ea5a4", "name": "AI Sentiment & Intent Detection Agent", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ 128, 1024 ], "parameters": { "text": "=Analyze the following LinkedIn comment and identify lead intent.\n\nPost URL:\n{{ $json.postUrl }}\n\nPost Content:\n{{ $json.postContent }}\n\nCommenter Name:\n{{ $json.commenterName }}\n\nComment Text:\n{{ $json.commentText }}\n\nReturn the result in the following JSON format ONLY:\n\n{\n \"postUrl\": \"{{ $json.postUrl }}\",\n \"leadName\": \"{{ $json.commenterName }}\",\n \"comment\": \"{{ $json.commentText }}\",\n \"intentScore\": number,\n \"intentLabel\": \"no-intent | passive-interest | problem-aware | solution-aware | high-intent\"\n}\n", "options": { "systemMessage": "=You are a B2B sales intent detection agent.\n\nYour job is to analyze LinkedIn post context and comment text to identify whether the commenter shows buying intent, problem awareness, or decision-maker interest.\n\nYou must:\n- Use ONLY the data provided in the input\n- Infer intent from wording, tone, and relevance to the post\n- Be conservative: do not hallucinate intent\n- Prefer precision over recall\n\nScoring rules:\n- 0\u201320 \u2192 No intent (generic praise, agreement, emojis)\n- 21\u201340 \u2192 Passive interest (thoughtful comment, but no problem ownership)\n- 41\u201360 \u2192 Problem-aware (mentions pain points, challenges, or agreement with problem)\n- 61\u201380 \u2192 Solution-aware (implies need for solution, improvement, or optimization)\n- 81\u2013100 \u2192 High buying intent (clear ownership, decision role, desire to act)\n\nIf intent is below 30, still return the record but mark it as \"low-intent\".\n\nOutput MUST be valid JSON and follow the exact schema provided.\nDo not add explanations or extra text.\n" }, "promptType": "define" }, "typeVersion": 3 }, { "id": "987fd12f-c41d-482b-b84e-b0cf834af7fe", "name": "Parse Sentiment & Score Output", "type": "n8n-nodes-base.code", "position": [ 480, 1024 ], "parameters": { "jsCode": "const results = [];\n\nfor (const item of items) {\n // Skip empty or invalid outputs safely\n if (!item.json.output) continue;\n\n let parsed;\n try {\n parsed = JSON.parse(item.json.output);\n } catch (e) {\n // If parsing fails, skip this record\n continue;\n }\n\n results.push({\n json: {\n postUrl: parsed.postUrl || null,\n leadName: parsed.leadName || null,\n comment: parsed.comment || null,\n intentScore: parsed.intentScore ?? null,\n intentLabel: parsed.intentLabel || null\n }\n });\n}\n\nreturn results;\n" }, "typeVersion": 2 }, { "id": "8e5d8fe6-e2a8-4861-ae28-9ac1fddb8ea9", "name": "Save Comments & Sentiment to Google Sheet", "type": "n8n-nodes-base.googleSheets", "position": [ 704, 1024 ], "parameters": { "columns": { "value": { "comment": "={{ $json.comment }}", "post_url": "={{ $json.postUrl }}", "lead name": "={{ $json.leadName }}", "intent label": "={{ $json.intentLabel }}", "intent score": "={{ $json.intentScore }}" }, "schema": [ { "id": "post_url", "type": "string", "display": true, "required": false, "displayName": "post_url", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "lead name", "type": "string", "display": true, "removed": false, "required": false, "displayName": "lead name", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "comment", "type": "string", "display": true, "required": false, "displayName": "comment", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "intent score", "type": "string", "display": true, "required": false, "displayName": "intent score", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "intent label", "type": "string", "display": true, "required": false, "displayName": "intent label", "defaultMatch": false, "canBeUsedToMatch": true } ], "mappingMode": "autoMapInputData", "matchingColumns": [], "attemptToConvertTypes": false, "convertFieldsToString": false }, "options": {}, "operation": "append", "sheetName": { "__rl": true, "mode": "list", "value": 1996970241, "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1hXDNE90IFbXLgyLt2XwSHgI_9sASzTSM9LAA4cUDFj4/edit#gid=1996970241", "cachedResultName": "Sheet2" }, "documentId": { "__rl": true, "mode": "list", "value": "1hXDNE90IFbXLgyLt2XwSHgI_9sASzTSM9LAA4cUDFj4", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1hXDNE90IFbXLgyLt2XwSHgI_9sASzTSM9LAA4cUDFj4/edit?usp=drivesdk", "cachedResultName": "Post Scraping" } }, "credentials": { "googleSheetsOAuth2Api": { "name": "" } }, "typeVersion": 4.7 }, { "id": "fa815af1-60b8-4761-bfb6-aa6f8f23b413", "name": "Watch Sheet for New Comment Rows", "type": "n8n-nodes-base.googleSheetsTrigger", "position": [ -928, 1600 ], "parameters": { "options": {}, "pollTimes": { "item": [ { "mode": "everyMinute" } ] }, "sheetName": { "__rl": true, "mode": "list", "value": 1996970241, "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1hXDNE90IFbXLgyLt2XwSHgI_9sASzTSM9LAA4cUDFj4/edit#gid=1996970241", "cachedResultName": "Sheet2" }, "documentId": { "__rl": true, "mode": "list", "value": "1hXDNE90IFbXLgyLt2XwSHgI_9sASzTSM9LAA4cUDFj4", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1hXDNE90IFbXLgyLt2XwSHgI_9sASzTSM9LAA4cUDFj4/edit?usp=drivesdk", "cachedResultName": "Post Scraping" } }, "credentials": { "googleSheetsTriggerOAuth2Api": { "name": "" } }, "typeVersion": 1 }, { "id": "265c661c-bda8-4632-abe7-6536ceafc25a", "name": "AI Reply Drafting Agent", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ -704, 1488 ], "parameters": { "text": "Draft a suitable reply for the commentes for proper sentiments", "options": {}, "promptType": "define" }, "typeVersion": 3 }, { "id": "6c0598e9-0259-4e0a-8d75-3a6e895c741c", "name": "Format Reply for Sheet Update", "type": "n8n-nodes-base.code", "position": [ -352, 1600 ], "parameters": { "jsCode": "// Loop over input items and add a new field called 'myNewField' to the JSON of each one\nfor (const item of $input.all()) {\n item.json.myNewField = 1;\n}\n\nreturn $input.all();" }, "typeVersion": 2 }, { "id": "5f1bd6ef-2474-4b7a-8b0d-9a7cbb6b4292", "name": "Write AI Reply Back to Google Sheet", "type": "n8n-nodes-base.googleSheets", "position": [ -128, 1600 ], "parameters": { "columns": { "value": {}, "schema": [], "mappingMode": "autoMapInputData", "matchingColumns": [], "attemptToConvertTypes": false, "convertFieldsToString": false }, "options": {}, "operation": "appendOrUpdate", "sheetName": { "__rl": true, "mode": "list", "value": 1996970241, "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1hXDNE90IFbXLgyLt2XwSHgI_9sASzTSM9LAA4cUDFj4/edit#gid=1996970241", "cachedResultName": "Sheet2" }, "documentId": { "__rl": true, "mode": "list", "value": "1hXDNE90IFbXLgyLt2XwSHgI_9sASzTSM9LAA4cUDFj4", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1hXDNE90IFbXLgyLt2XwSHgI_9sASzTSM9LAA4cUDFj4/edit?usp=drivesdk", "cachedResultName": "Post Scraping" } }, "credentials": { "googleSheetsOAuth2Api": { "name": "" } }, "typeVersion": 4.7 }, { "id": "4486ac1e-5322-46d0-ad9f-31c1500a8f46", "name": "Watch Sheet for Approved Replies", "type": "n8n-nodes-base.googleSheetsTrigger", "position": [ -960, 2016 ], "parameters": { "options": {}, "pollTimes": { "item": [ { "mode": "everyMinute" } ] }, "sheetName": { "__rl": true, "mode": "list", "value": 1996970241, "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1hXDNE90IFbXLgyLt2XwSHgI_9sASzTSM9LAA4cUDFj4/edit#gid=1996970241", "cachedResultName": "Sheet2" }, "documentId": { "__rl": true, "mode": "list", "value": "1hXDNE90IFbXLgyLt2XwSHgI_9sASzTSM9LAA4cUDFj4", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1hXDNE90IFbXLgyLt2XwSHgI_9sASzTSM9LAA4cUDFj4/edit?usp=drivesdk", "cachedResultName": "Post Scraping" } }, "credentials": { "googleSheetsTriggerOAuth2Api": { "name": "" } }, "typeVersion": 1 }, { "id": "ee63d50c-9c00-4231-a302-a7d0d0b1fd4b", "name": "Build Media Team Email Report", "type": "n8n-nodes-base.code", "position": [ -736, 2016 ], "parameters": { "jsCode": "// Loop over input items and add a new field called 'myNewField' to the JSON of each one\nfor (const item of $input.all()) {\n item.json.myNewField = 1;\n}\n\nreturn $input.all();" }, "typeVersion": 2 }, { "id": "c83ea93c-6d0d-43a9-b029-68335b83f135", "name": "Send Email Report to Media Team", "type": "n8n-nodes-base.gmail", "position": [ -512, 2016 ], "parameters": { "sendTo": "info@example.com", "message": "", "options": {}, "subject": "" }, "credentials": { "gmailOAuth2": { "name": "" } }, "typeVersion": 2.2 }, { "id": "660a6302-4e05-41fe-89c6-6cbb9fbedc3c", "name": "\ud83d\udccb Workflow Overview", "type": "n8n-nodes-base.stickyNote", "position": [ -2048, 1072 ], "parameters": { "color": 3, "width": 520, "height": 734, "content": "## \ud83d\udccb Workflow Overview \u2014 Comment Analyse & Reporter\n\n### How it works\nThis workflow automates the full lifecycle of LinkedIn comment monitoring and response for Techdome. It runs across **three sequential stages**:\n\n**Stage 1 \u2014 Comment Scraping & Sentiment Scoring:** A cron trigger fires every 15 minutes. SerpAPI searches LinkedIn for posts mentioning Techdome. Results are parsed and filtered, then ConnectSafely fetches the actual comments for each post. An Azure OpenAI-powered AI agent analyzes each comment for sentiment and assigns an intent score and label. The structured output is saved to a Google Sheet (Sheet2) with columns for post URL, commenter name, comment text, sentiment score, and intent label.\n\n**Stage 2 \u2014 AI Reply Generation:** A Google Sheets trigger watches for new rows. For each comment, an AI Reply Drafting Agent generates a contextually appropriate reply based on the sentiment and comment content. The drafted reply is written back to the same Google Sheet row.\n\n**Stage 3 \u2014 Media Team Email Report:** A second Google Sheets trigger detects updated rows with replies. A code node compiles a structured HTML email report and sends it via Gmail to the media team so they can review and post the replies on LinkedIn.\n\n### Setup steps\n1. Add credentials: **SerpAPI**, **ConnectSafely**, **Azure OpenAI**, **Google Sheets**, and **Gmail**\n2. Set the target Google Sheet ID in all Sheets nodes\n3. Update the Gmail recipient address in the Send Email node\n4. Activate all three trigger nodes" }, "typeVersion": 1 }, { "id": "2437fbdc-b371-4fc4-8e41-a1a8480d4e5d", "name": "Section: Comment Scraping", "type": "n8n-nodes-base.stickyNote", "position": [ -1280, 800 ], "parameters": { "width": 1900, "content": "## \ud83d\udd0d Stage 1 \u2014 Comment Scraping & Sentiment Scoring\nSerpAPI searches LinkedIn for Techdome-related posts every 15 minutes. Comments are fetched, flattened, and scored by an AI agent for sentiment and buyer intent. Results are saved to Google Sheets." }, "typeVersion": 1 }, { "id": "3cdd5de0-9ded-494a-b0f8-55859f7a4c9c", "name": "Section: Reply Generation", "type": "n8n-nodes-base.stickyNote", "position": [ -1280, 1392 ], "parameters": { "width": 1000, "content": "## \ud83d\udcac Stage 2 \u2014 AI Reply Generation\nWatches Google Sheets for new comment rows. The AI Reply Drafting Agent generates a tone-matched reply per comment using sentiment context, then writes the reply back to the sheet." }, "typeVersion": 1 }, { "id": "a5b1d617-e8bb-4b46-b005-6c4c7414c675", "name": "Section: Email Report", "type": "n8n-nodes-base.stickyNote", "position": [ -1392, 1808 ], "parameters": { "width": 680, "content": "## \ud83d\udce7 Stage 3 \u2014 Media Team Email Report\nWatches the sheet for rows with completed replies. Compiles a formatted HTML email report and delivers it to the media team via Gmail so they can act on the replies." }, "typeVersion": 1 }, { "id": "c41c87f1-a2c1-43de-8704-d202100e2fa0", "name": "Warning: SerpAPI", "type": "n8n-nodes-base.stickyNote", "position": [ -704, 1216 ], "parameters": { "color": 2, "width": 260, "height": 140, "content": "\u26a0\ufe0f **SerpAPI Credentials Required**\nThis node requires a valid SerpAPI key. Without it, no LinkedIn posts will be found and the workflow will fail silently. Watch for rate limit errors on high-volume runs." }, "typeVersion": 1 }, { "id": "4538dc4b-d7c0-42ba-9d2a-18ff15c5d306", "name": "Warning: Gmail", "type": "n8n-nodes-base.stickyNote", "position": [ -288, 2000 ], "parameters": { "color": 2, "width": 280, "height": 140, "content": "\u26a0\ufe0f **Gmail Credentials & Recipient Required**\nSet the correct recipient email for the media team. Misconfigured Gmail OAuth will silently fail \u2014 ensure the Gmail account has Send permission enabled." }, "typeVersion": 1 }, { "id": "eb0adcb0-ded9-475d-a8c3-d537ea663e74", "name": "Search LinkedIn Posts via SerpAPI1", "type": "n8n-nodes-serpapi.serpApi", "position": [ -768, 1024 ], "parameters": { "q": "site:linkedin.com/posts (\"Techdome\" OR \"Employee of techdome\")", "requestOptions": {}, "additionalFields": {} }, "credentials": { "serpApi": { "name": "" } }, "typeVersion": 1 }, { "id": "d2e234ea-7582-4644-9ddd-3899b6a8a528", "name": "Fetch Post Comments via ConnectSafely1", "type": "n8n-nodes-connectsafely-ai.connectSafelyLinkedIn", "position": [ -320, 1024 ], "parameters": { "postUrl": "={{ $json.post_url }}", "accountId": "695ce64a09c18d6bbbe90ed0", "operation": "getAllPostComments" }, "credentials": { "connectSafelyApi": { "name": "" } }, "typeVersion": 1 }, { "id": "dee58d4c-1220-4690-8e80-625fa2cbd30e", "name": "Parse & Filter Search Results1", "type": "n8n-nodes-base.code", "position": [ -544, 1024 ], "parameters": { "jsCode": "// ---------------------------\n// COLLECT ALL POSSIBLE RESULTS\n// ---------------------------\nconst data = items[0].json;\n\nconst results = [\n ...(data.organic_results || []),\n ...(data.inline_results || []),\n ...(data.discussions || []),\n ...(data.forums || []),\n];\n\nconst problemKeywords = [\n 'problem',\n 'issue',\n 'manual',\n 'not working',\n 'struggling',\n 'pain',\n 'challenge',\n 'empty',\n 'ghosted',\n 'ghosting',\n 'not enough',\n 'low',\n 'hard',\n 'difficult',\n 'miss',\n 'failing'\n];\n\nconst output = results.map(post => {\n const postUrl = post.link || '';\n let platform = 'Unknown';\n let username = null;\n let postId = null;\n let authorName = null;\n\n // ---------------------------\n // LINKEDIN DETECTION\n // ---------------------------\n if (/linkedin\\.com\\/posts\\//i.test(postUrl)) {\n platform = 'LinkedIn';\n\n const match = postUrl.match(/linkedin\\.com\\/posts\\/([^_]+).*?(\\d{8,})/i);\n if (match) {\n username = match[1];\n postId = match[2];\n }\n\n authorName = post.source\n ? post.source.replace('LinkedIn \u00b7 ', '').trim()\n : null;\n }\n\n // ---------------------------\n // REDDIT DETECTION (ROBUST)\n // ---------------------------\n if (/reddit\\.com/i.test(postUrl)) {\n platform = 'Reddit';\n\n const redditMatch = postUrl.match(\n /reddit\\.com\\/r\\/([^/]+)\\/comments\\/([^/]+)/i\n );\n\n if (redditMatch) {\n username = `r/${redditMatch[1]}`;\n postId = redditMatch[2];\n }\n\n authorName = post.source\n ? post.source.replace('Reddit \u00b7 ', '').trim()\n : username;\n }\n\n // ---------------------------\n // PROBLEM DETECTION\n // ---------------------------\n const text = `${post.title || ''} ${post.snippet || ''}`.toLowerCase();\n\n const detectedProblems = problemKeywords.filter(k =>\n text.includes(k)\n );\n\n return {\n json: {\n platform,\n author_name: authorName,\n username,\n post_id: postId,\n post_url: postUrl || null,\n post_title: post.title || null,\n post_snippet: post.snippet || null,\n engagement_hint: post.displayed_link || null,\n problem_keywords_detected: detectedProblems,\n is_problem_post: detectedProblems.length > 0\n }\n };\n});\n\n// REMOVE EMPTY / UNKNOWN URL RESULTS\nreturn output.filter(item => item.json.post_url);\n\n" }, "typeVersion": 2 }, { "id": "d1ca6bba-4cd5-4898-804a-a3c00ff81c48", "name": "Flatten Comments into Rows1", "type": "n8n-nodes-base.code", "position": [ -96, 1024 ], "parameters": { "jsCode": "const results = [];\n\nfor (const item of items) {\n const post = item.json;\n\n const postUrl = post.postUrl || '';\n const postContent = post.postDetails?.content || '';\n const activityUrn = post.postDetails?.activityUrn || null;\n\n const comments = post.comments || [];\n\n for (const comment of comments) {\n results.push({\n json: {\n // Post info\n postUrl,\n activityUrn,\n postContent,\n\n // Comment info\n commentId: comment.commentId,\n commentText: comment.commentText,\n commenterName: comment.authorName,\n commenterProfileUrl: comment.profileUrl || null,\n commenterUrn: comment.commenterUrn || null,\n\n // Metadata\n createdAt: comment.createdAt,\n likeCount: comment.likeCount,\n replyCount: comment.replyCount,\n isProfile: comment.hasProfile\n }\n });\n }\n}\n\nreturn results;\n" }, "typeVersion": 2 }, { "id": "8d8385ec-d04f-4391-b715-180f64db8d18", "name": "Azure OpenAI Chat Model2", "type": "@n8n/n8n-nodes-langchain.lmChatAzureOpenAi", "position": [ 208, 1248 ], "parameters": { "model": "gpt-4o-mini", "options": {} }, "credentials": { "azureOpenAiApi": { "name": "" } }, "typeVersion": 1 }, { "id": "671d467f-7943-43a9-be71-260bfdd14aff", "name": "Azure OpenAI Chat Model3", "type": "@n8n/n8n-nodes-langchain.lmChatAzureOpenAi", "position": [ -624, 1712 ], "parameters": { "model": "gpt-4o-mini", "options": {} }, "credentials": { "azureOpenAiApi": { "name": "" } }, "typeVersion": 1 } ], "active": false, "settings": { "executionOrder": "v1" }, "versionId": "02436b7c-4c02-4eb3-965e-f5819b4b3b5d", "connections": { "AI Agent": { "main": [ [ { "node": "Code in JavaScript2", "type": "main", "index": 0 } ] ] }, "Code in JavaScript2": { "main": [ [ { "node": "Append or update row in sheet", "type": "main", "index": 0 } ] ] }, "Code in JavaScript3": { "main": [ [ { "node": "Send a message", "type": "main", "index": 0 } ] ] }, "Run Every 15 Minutes": { "main": [ [ { "node": "Search LinkedIn Posts via SerpAPI", "type": "main", "index": 0 } ] ] }, "Google Sheets Trigger": { "main": [ [ { "node": "AI Agent", "type": "main", "index": 0 } ] ] }, "Google Sheets Trigger1": { "main": [ [ { "node": "Code in JavaScript3", "type": "main", "index": 0 } ] ] }, "Parse AI Intent Output": { "main": [ [ { "node": "Save Leads to Google Sheet", "type": "main", "index": 0 } ] ] }, "AI Reply Drafting Agent": { "main": [ [ { "node": "Format Reply for Sheet Update", "type": "main", "index": 0 } ] ] }, "Azure OpenAI Chat Model": { "ai_languageModel": [ [ { "node": "AI Intent Detection Agent", "type": "ai_languageModel", "index": 0 } ] ] }, "Azure OpenAI Chat Model1": { "ai_languageModel": [ [ { "node": "AI Agent", "type": "ai_languageModel", "index": 0 } ] ] }, "Azure OpenAI Chat Model2": { "ai_languageModel": [ [ { "node": "AI Sentiment & Intent Detection Agent", "type": "ai_languageModel", "index": 0 } ] ] }, "Azure OpenAI Chat Model3": { "ai_languageModel": [ [ { "node": "AI Reply Drafting Agent", "type": "ai_languageModel", "index": 0 } ] ] }, "Trigger Every 15 Minutes": { "main": [ [ { "node": "Search LinkedIn Posts via SerpAPI1", "type": "main", "index": 0 } ] ] }, "AI Intent Detection Agent": { "main": [ [ { "node": "Parse AI Intent Output", "type": "main", "index": 0 } ] ] }, "Flatten Comments into Rows": { "main": [ [ { "node": "AI Intent Detection Agent", "type": "main", "index": 0 } ] ] }, "Flatten Comments into Rows1": { "main": [ [ { "node": "AI Sentiment & Intent Detection Agent", "type": "main", "index": 0 } ] ] }, "Build Media Team Email Report": { "main": [ [ { "node": "Send Email Report to Media Team", "type": "main", "index": 0 } ] ] }, "Format Reply for Sheet Update": { "main": [ [ { "node": "Write AI Reply Back to Google Sheet", "type": "main", "index": 0 } ] ] }, "Parse & Filter Search Results": { "main": [ [ { "node": "Fetch Post Comments via ConnectSafely", "type": "main", "index": 0 } ] ] }, "Parse & Filter Search Results1": { "main": [ [ { "node": "Fetch Post Comments via ConnectSafely1", "type": "main", "index": 0 } ] ] }, "Parse Sentiment & Score Output": { "main": [ [ { "node": "Save Comments & Sentiment to Google Sheet", "type": "main", "index": 0 } ] ] }, "Watch Sheet for Approved Replies": { "main": [ [ { "node": "Build Media Team Email Report", "type": "main", "index": 0 } ] ] }, "Watch Sheet for New Comment Rows": { "main": [ [ { "node": "AI Reply Drafting Agent", "type": "main", "index": 0 } ] ] }, "Search LinkedIn Posts via SerpAPI": { "main": [ [ { "node": "Parse & Filter Search Results", "type": "main", "index": 0 } ] ] }, "Search LinkedIn Posts via SerpAPI1": { "main": [ [ { "node": "Parse & Filter Search Results1", "type": "main", "index": 0 } ] ] }, "AI Sentiment & Intent Detection Agent": { "main": [ [ { "node": "Parse Sentiment & Score Output", "type": "main", "index": 0 } ] ] }, "Fetch Post Comments via ConnectSafely": { "main": [ [ { "node": "Flatten Comments into Rows", "type": "main", "index": 0 } ] ] }, "Fetch Post Comments via ConnectSafely1": { "main": [ [ { "node": "Flatten Comments into Rows1", "type": "main", "index": 0 } ] ] } } }