{ "nodes": [ { "parameters": { "pollTimes": { "item": [ { "mode": "everyHour" } ] }, "simple": false, "filters": { "readStatus": "unread" }, "options": {} }, "type": "n8n-nodes-base.gmailTrigger", "typeVersion": 1.2, "position": [ -240, 48 ], "id": "01f2151f-fb91-4005-bff8-cb4aed149f7b", "name": "Gmail Trigger", "credentials": { "gmailOAuth2": { "name": "" } } }, { "parameters": { "operation": "reply", "messageId": "={{ $('Mark a message as read').item.json.id }}", "message": "

Thank you for replying.

Please download our Total Body Mobile Massage Amenity Service Proposal PDF attached to this email. After reading through the information, please click on the link at the end of the document, and it will take you to where you can view our full virtual proposal. We truly appreciate your interest, and look forward to working together with your community soon.

Lyndon S.
Total Body Mobile Massage \u2013 Outreach Team
Contact Email: tbmmoutreach@gmail.com
Company Website: www.totalbodymobilemassage.com

", "options": { "appendAttribution": false, "attachmentsUi": { "attachmentsBinary": [ {} ] }, "senderName": "Lyndon S.", "replyToSenderOnly": true } }, "type": "n8n-nodes-base.gmail", "typeVersion": 2.1, "position": [ 1200, -64 ], "id": "edf5ec62-657f-4a55-8b77-46824cfe97af", "name": "Reply to a message", "credentials": { "gmailOAuth2": { "name": "" } } }, { "parameters": { "operation": "markAsRead", "messageId": "={{ $('Gmail Trigger').item.json.id }}" }, "type": "n8n-nodes-base.gmail", "typeVersion": 2.1, "position": [ 672, -64 ], "id": "f858aaa3-4154-4c5e-9f20-8e9b1b2fe9e4", "name": "Mark a message as read", "credentials": { "gmailOAuth2": { "name": "" } } }, { "parameters": { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 2 }, "conditions": [ { "id": "4cae3339-8dd6-4018-8cc7-cc6ef5622d58", "leftValue": "={{ Object.keys($json).length > 0 }}", "rightValue": "", "operator": { "type": "boolean", "operation": "true", "singleValue": true } } ], "combinator": "and" }, "options": {} }, "type": "n8n-nodes-base.if", "typeVersion": 2.2, "position": [ 480, 48 ], "id": "18fe524b-9dfa-4a53-b808-cbd846434aac", "name": "If" }, { "parameters": {}, "type": "n8n-nodes-base.noOp", "typeVersion": 1, "position": [ 672, 160 ], "id": "7a360c5a-c105-4ed9-878b-43a506de86cc", "name": "No Operation, do nothing" }, { "parameters": { "content": "# \ud83d\udd75\ud83c\udffb Email Auto-Reply Workflow\n\n## Flow\n1. **Gmail Trigger** \u2192 Poll unread emails every hour\n2. **Keyword Filter** \u2192 Extract reply text & match keywords\n3. **If Match Found** \u2192 Mark as read \u2192 Send reply \u2192 Update DB\n4. **No Match** \u2192 Do nothing\n\n## Keywords\nRetention, massage, luxury, lifestyle, bond, survey, etc.\n\n## Logic\n- Only processes top reply (strips quoted content)\n- Auto-reply: \"Thanks for Replying!\"\n- Updates `email_logs.replied = TRUE`", "height": 544, "width": 2272, "color": 4 }, "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ -688, -176 ], "id": "04018138-3ee5-4575-9dde-aa513c22620a", "name": "Sticky Note" }, { "parameters": { "operation": "update", "tableId": "email_logs", "filters": { "conditions": [ { "keyName": "thread_id", "condition": "eq", "keyValue": "={{ $json.threadId }}" } ] }, "fieldsUi": { "fieldValues": [ { "fieldId": "replied", "fieldValue": "TRUE" } ] } }, "type": "n8n-nodes-base.supabase", "typeVersion": 1, "position": [ 1392, -64 ], "id": "e4d0e957-615d-484e-b189-8353658bd75a", "name": "Update a row", "credentials": { "supabaseApi": { "name": "" } } }, { "parameters": { "mode": "runOnceForEachItem", "jsCode": "// Keywords for matching (supports single-word and multi-word phrases)\nconst keywords = $json.keywords;\n\n// Utility to escape regex metacharacters\nfunction escapeRegex(str) {\n return str.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\$&');\n}\n\n// Extract only the new reply content (stop at quoted content)\nfunction extractTopReply(text) {\n if (!text) return '';\n \n const lines = text.split(/\\r?\\n/);\n const replyLines = [];\n \n for (const line of lines) {\n const trimmed = line.trim();\n \n // Gmail patterns\n if (trimmed.startsWith('>') || // > quoted line\n /^On\\s+.*wrote:?\\s*$/i.test(trimmed) || // \"On ... wrote:\"\n /^On\\s+.*<.*@.*>.*wrote:?\\s*$/i.test(trimmed)) { // \"On ... wrote:\"\n break;\n }\n \n // Outlook patterns\n if (/^-+Original Message-+/i.test(trimmed) || // -----Original Message-----\n /^From:\\s+.*@/i.test(trimmed) || // From: email@domain\n /^Sent:\\s+(Monday|Tuesday|Wednesday|Thursday|Friday|Saturday|Sunday)/i.test(trimmed) || // Sent: Day, Date\n /^To:\\s+.*@/i.test(trimmed) || // To: email@domain\n /^Subject:\\s+/i.test(trimmed)) { // Subject: ...\n break;\n }\n \n // Apple Mail patterns\n if (/^Begin forwarded message:/i.test(trimmed) || // Begin forwarded message:\n /^Date:\\s+(Monday|Tuesday|Wednesday|Thursday|Friday|Saturday|Sunday)/i.test(trimmed)) { // Date: Day, Date\n break;\n }\n \n replyLines.push(line);\n }\n \n return replyLines.join('\\n').trim();\n}\n\n\n// ------------------ Precompute keyword structures ------------------\n\n// Single-word keywords set\nconst singleWordKeywords = new Set(\n keywords\n .filter(k => !/\\s/.test(k))\n .map(k => k.toLowerCase())\n);\n\n// Multi-word phrase keywords (lowercased)\nconst phraseKeywords = keywords\n .filter(k => /\\s/.test(k))\n .map(k => k.toLowerCase());\n\n// Precompile phrase regexes and organize by first word\nconst phraseMap = {}; // firstWord -> [ { phrase, re } ]\n\nfor (const phrase of phraseKeywords) {\n const parts = phrase.split(/\\s+/).map(escapeRegex);\n // strict: require whitespace between words in order\n const pattern = '\\\\b' + parts.join('\\\\s+') + '\\\\b';\n // If you want to allow punctuation/hyphens between phrase words (e.g., \"lease-longer\" or \"lease, longer\"), \n // replace the above line with:\n // const pattern = '\\\\b' + parts.join('[\\\\W_]+') + '\\\\b';\n\n const re = new RegExp(pattern, 'i'); // case-insensitive for safety\n const firstWord = phrase.split(/\\s+/)[0];\n\n if (!phraseMap[firstWord]) phraseMap[firstWord] = [];\n phraseMap[firstWord].push({ phrase, re });\n}\n\n\n// Find matched keywords (optimized)\nfunction findMatchedKeywords(text) {\n const lower = text.toLowerCase();\n\n // Tokenize into words: alphanumeric sequences\n const words = lower.match(/\\b[a-z0-9]+\\b/g) || [];\n const seen = new Set();\n const matched = [];\n\n // For avoiding repeated phrase regex tests when first word repeats\n const triedPhrases = new Set();\n\n // Single-word matching and candidate phrase matching by first word\n for (const word of words) {\n // single-word\n if (singleWordKeywords.has(word) && !seen.has(word)) {\n matched.push(word);\n seen.add(word);\n }\n\n // phrase candidates whose first word is this word\n if (phraseMap[word]) {\n for (const { phrase, re } of phraseMap[word]) {\n if (triedPhrases.has(phrase)) continue; 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