{ "name": "Case 65 - New Market Entry Signals Detector", "nodes": [ { "parameters": { "rule": { "interval": [ { "field": "cronExpression", "expression": "0 9 * * 1" } ] } }, "type": "n8n-nodes-base.scheduleTrigger", "typeVersion": 1.2, "position": [ -1200, -176 ], "id": "11bfc70a-e480-4d6d-959d-2e44a3babe4f", "name": "Weekly Schedule - Monday 9 AM" }, { "parameters": { "actorId": { "__rl": true, "value": "nH2AHrwxeTRJoN5hX", "mode": "list", "cachedResultName": "Instagram Post Scraper (apify/instagram-post-scraper)", "cachedResultUrl": "https://console.apify.com/actors/nH2AHrwxeTRJoN5hX/input" }, "customBody": "{\n \"onlyPostsNewerThan\": \"2025-12-01\",\n \"resultsLimit\": 15,\n \"skipPinnedPosts\": false,\n \"username\": [\n \"@starbucks\",\n \"@mcdonalds\",\n \"@nike\",\n \"@adidas\",\n \"@zara\",\n \"@hm\",\n \"@uniqlo\",\n \"@ikea\",\n \"@sephora\",\n \"@lululemon\"\n ]\n}" }, "type": "@apify/n8n-nodes-apify.apify", "typeVersion": 1, "position": [ -1008, -176 ], "id": "4294cfbe-d6a7-45e0-bbd8-de371468c604", "name": "Scrape Competitor Instagram", "credentials": { "apifyApi": { "id": "w5S6YBbbyUddEfQA", "name": "Apify account" } } }, { "parameters": { "resource": "Datasets", "datasetId": "={{ $json.defaultDatasetId }}", "limit": 150 }, "type": "@apify/n8n-nodes-apify.apify", "typeVersion": 1, "position": [ -816, -176 ], "id": "5d17908f-c297-4583-944e-41712c060b4f", "name": "Get Dataset Items", "credentials": { "apifyApi": { "id": "w5S6YBbbyUddEfQA", "name": "Apify account" } } }, { "parameters": { "modelId": { "__rl": true, "value": "gpt-4o-mini", "mode": "list", "cachedResultName": "GPT-4o-mini" }, "responses": { "values": [ { "role": "system", "content": "=You are a Market Entry Intelligence Expert.\n\nAnalyze Instagram posts to identify signals of geographic market expansion, new store openings, or entry into new markets.\n\nReturn ONLY valid JSON in this exact format:\n{\n \"is_market_entry\": \"yes|no\",\n \"confidence\": 0.95,\n \"reason\": \"brief explanation\"\n}\n\nCriteria for \"yes\" (market entry signal):\n✅ Announces new store/location opening in specific city/country\n✅ \"Now available in [country/region]\" messaging\n✅ \"Coming soon to [location]\" announcements\n✅ Partnership announcements for new geographic markets\n✅ Expansion into new countries/regions explicitly stated\n✅ Grand opening events in new markets\n✅ Posts in new languages indicating market entry\n✅ \"First [brand] store in [country]\" announcements\n✅ Regional/country-specific launch events\n\nCriteria for \"no\" (NOT market entry):\n❌ Generic product launches without geographic context\n❌ Posts about existing stores/markets\n❌ Online-only availability (unless explicitly new market)\n❌ Pop-up shops or temporary events (unless stated as market entry)\n❌ General brand messaging without location specifics\n❌ Posts about store renovations in existing markets\n❌ Job postings or hiring announcements\n❌ Celebrity/influencer partnerships without geographic angle\n\nRules:\n1. confidence: 0-1 scale (0.9+ for very clear market entry signals)\n2. reason: 1 sentence explaining the decision\n3. Be strict - require explicit geographic expansion messaging\n4. Return ONLY the JSON object, no explanations" }, { "content": "=Analyze this Instagram post for market entry signals:\n\nBrand: {{ $json.ownerUsername }}\nPost Date: {{ $json.timestamp }}\nCaption: {{ $json.caption }}\n\nReturn only JSON." } ] }, "builtInTools": {}, "options": {} }, "type": "@n8n/n8n-nodes-langchain.openAi", "typeVersion": 2.1, "position": [ -656, -176 ], "id": "46fbd9d7-ebc9-455f-bb59-64c58360bfb5", "name": "AI Validation - Market Entry Filter", "credentials": { "openAiApi": { "id": "ICwxUBbatsF2sDvy", "name": "OpenAi account" } } }, { "parameters": { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 1 }, "conditions": [ { "id": "filter-condition-001", "leftValue": "={{ $json.is_market_entry }}", "rightValue": "yes", "operator": { "type": "string", "operation": "equals", "singleValue": true } } ], "combinator": "and" }, "options": {} }, "type": "n8n-nodes-base.filter", "typeVersion": 2, "position": [ -16, -176 ], "id": "c23dda5f-2a7c-4159-b168-11d201a08dfd", "name": "Filter Only Market Entry Posts" }, { "parameters": { "modelId": { "__rl": true, "value": "gpt-4o", "mode": "list", "cachedResultName": "GPT-4o" }, "responses": { "values": [ { "role": "system", "content": "=You are a Market Intelligence Analyst specializing in geographic expansion tracking.\n\nExtract structured market entry information from Instagram posts.\n\nReturn ONLY valid JSON with these exact fields:\n{\n \"new_market\": \"Country or region name\",\n \"city\": \"City name if mentioned, otherwise 'Multiple' or 'Not specified'\",\n \"entry_type\": \"Physical Store|Online Launch|Partnership|Regional Expansion|Franchise\",\n \"timeline\": \"Opened|Opening Soon|Coming [Month/Year]|TBD\",\n \"store_count\": \"Number of stores/locations if mentioned, otherwise 'Not specified'\",\n \"key_details\": \"Brief summary of the expansion (max 150 chars)\",\n \"strategic_significance\": \"Low|Medium|High - assess market importance\",\n \"competitive_impact\": \"Brief analysis of competitive implications (max 150 chars)\"\n}\n\nExtraction Rules:\n1. new_market: Extract country/region name (e.g., \"India\", \"Southeast Asia\", \"Middle East\")\n2. city: Extract specific city if mentioned (e.g., \"Mumbai\", \"Dubai\")\n3. entry_type: Choose most accurate category based on post content\n4. timeline: Extract opening timeline or use \"Opened\" if already launched\n5. store_count: Extract number if mentioned (e.g., \"5 stores\", \"First store\")\n6. key_details: Summarize unique aspects (product focus, format, partners)\n7. strategic_significance: Assess based on market size and brand presence\n8. competitive_impact: Brief analysis of how this affects competition\n\nBe precise and concise. Return ONLY the JSON object." }, { "content": "=Extract market entry intelligence from this Instagram post:\n\nBrand: {{ $('Get Dataset Items').item.json.ownerUsername }}\nPost Date: {{ $('Get Dataset Items').item.json.timestamp }}\nCaption: {{ $('Get Dataset Items').item.json.caption }}\nLikes: {{ $('Get Dataset Items').item.json.likesCount }}\nComments: {{ $('Get Dataset Items').item.json.commentsCount }}\n\nReturn only JSON." } ] }, "builtInTools": {}, "options": {} }, "type": "@n8n/n8n-nodes-langchain.openAi", "typeVersion": 2.1, "position": [ 144, -176 ], "id": "31835518-f34e-4d05-9cac-48dc98600291", "name": "AI Extract Market Entry Intelligence", "credentials": { "openAiApi": { "id": "ICwxUBbatsF2sDvy", "name": "OpenAi account" } } }, { "parameters": { "operation": "appendOrUpdate", "documentId": { "__rl": true, "value": "1OpJajowr_8av3uxZ_pR8aDEeS6Gj1vIqaWU2Mpe9FZU", "mode": "list", "cachedResultName": "Case 65 - Market Entry Log", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1OpJajowr_8av3uxZ_pR8aDEeS6Gj1vIqaWU2Mpe9FZU/edit?usp=drivesdk" }, "sheetName": { "__rl": true, "value": "gid=0", "mode": "list", "cachedResultName": "Sheet1", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1OpJajowr_8av3uxZ_pR8aDEeS6Gj1vIqaWU2Mpe9FZU/edit#gid=0" }, "columns": { "mappingMode": "defineBelow", "value": { "Analysis_Date": "={{ $json.analysis_timestamp }}", "Brand": "={{ $json.brand }}", "New_Market": "={{ $json.new_market }}", "City": "={{ $json.city }}", "Entry_Type": "={{ $json.entry_type }}", "Timeline": "={{ $json.timeline }}", "Store_Count": "={{ $json.store_count }}", "Key_Details": "={{ $json.key_details }}", "Strategic_Significance": "={{ $json.strategic_significance }}", "Competitive_Impact": "={{ $json.competitive_impact }}", "Post_Date": "={{ $json.post_date }}", "Post_URL": "={{ $json.post_url }}", "Likes": "={{ $json.likes_count }}", "Comments": "={{ $json.comments_count }}", "Engagement": "={{ $json.engagement_total }}" }, "matchingColumns": [ "Post_URL" ], "schema": [ { "id": "Analysis_Date", "displayName": "Analysis_Date", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Brand", "displayName": "Brand", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "New_Market", "displayName": "New_Market", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "City", "displayName": "City", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Entry_Type", "displayName": "Entry_Type", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Timeline", "displayName": "Timeline", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Store_Count", "displayName": "Store_Count", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Key_Details", "displayName": "Key_Details", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Strategic_Significance", "displayName": "Strategic_Significance", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Competitive_Impact", "displayName": "Competitive_Impact", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Post_Date", "displayName": "Post_Date", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Post_URL", "displayName": "Post_URL", "required": false, "defaultMatch": true, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Likes", "displayName": "Likes", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Comments", "displayName": "Comments", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Engagement", "displayName": "Engagement", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true } ] }, "options": {} }, "type": "n8n-nodes-base.googleSheets", "typeVersion": 4.5, "position": [ 768, -176 ], "id": "b254445b-95ff-4e38-b6aa-5213e7ca061c", "name": "Log to Google Sheet", "credentials": { "googleSheetsOAuth2Api": { "id": "LOs2dbk9lby0NfDM", "name": "Google Sheets account" } } }, { "parameters": { "jsCode": "// Aggregate all market entry signals into a summary report\nconst items = $input.all();\n\nif (items.length === 0) {\n return {\n json: {\n summary: \"No market entry signals detected this week.\",\n total_signals: 0,\n by_brand: {},\n by_market: {},\n by_entry_type: {}\n }\n };\n}\n\n// Count by brand\nconst byBrand = {};\nconst byMarket = {};\nconst byEntryType = {};\nconst highPrioritySignals = [];\n\nitems.forEach(item => {\n const data = item.json;\n \n // Count by brand (use Brand from Google Sheets)\n const brand = data.Brand || data.brand || 'unknown';\n byBrand[brand] = (byBrand[brand] || 0) + 1;\n \n // Count by market (use New_Market from Google Sheets)\n const market = data.New_Market || data.new_market || 'unknown';\n byMarket[market] = (byMarket[market] || 0) + 1;\n \n // Count by entry type (use Entry_Type from Google Sheets)\n const entryType = data.Entry_Type || data.entry_type || 'unknown';\n byEntryType[entryType] = (byEntryType[entryType] || 0) + 1;\n \n // Collect high priority signals (use Strategic_Significance from Google Sheets)\n const significance = data.Strategic_Significance || data.strategic_significance;\n if (significance === 'High') {\n highPrioritySignals.push({\n brand: brand,\n market: market,\n city: data.City || data.city || 'Not specified',\n timeline: data.Timeline || data.timeline || 'Unknown',\n details: data.Key_Details || data.key_details || 'No details'\n });\n }\n});\n\n// Create summary text\nlet summaryText = `Market Entry Intelligence Report\\n`;\nsummaryText += `================================\\n\\n`;\nsummaryText += `Total Signals Detected: ${items.length}\\n\\n`;\n\nsummaryText += `By Brand:\\n`;\nObject.entries(byBrand)\n .sort((a, b) => b[1] - a[1])\n .forEach(([brand, count]) => {\n summaryText += ` • ${brand}: ${count} signal(s)\\n`;\n });\n\nsummaryText += `\\nBy Market:\\n`;\nObject.entries(byMarket)\n .sort((a, b) => b[1] - a[1])\n .forEach(([market, count]) => {\n summaryText += ` • ${market}: ${count} signal(s)\\n`;\n });\n\nsummaryText += `\\nBy Entry Type:\\n`;\nObject.entries(byEntryType)\n .sort((a, b) => b[1] - a[1])\n .forEach(([type, count]) => {\n summaryText += ` • ${type}: ${count} signal(s)\\n`;\n });\n\nif (highPrioritySignals.length > 0) {\n summaryText += `\\n🔴 HIGH PRIORITY SIGNALS (${highPrioritySignals.length}):\\n`;\n highPrioritySignals.forEach((signal, index) => {\n summaryText += `\\n${index + 1}. ${signal.brand} → ${signal.market}`;\n if (signal.city !== 'Not specified' && signal.city !== 'Multiple') {\n summaryText += ` (${signal.city})`;\n }\n summaryText += `\\n Timeline: ${signal.timeline}\\n`;\n summaryText += ` Details: ${signal.details}\\n`;\n });\n}\n\nreturn {\n json: {\n report_date: new Date().toISOString(),\n summary: summaryText,\n total_signals: items.length,\n by_brand: byBrand,\n by_market: byMarket,\n by_entry_type: byEntryType,\n high_priority_count: highPrioritySignals.length,\n high_priority_signals: highPrioritySignals\n }\n};" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 960, -176 ], "id": "fdbea47f-e792-43d0-914a-471ea25aeb03", "name": "Aggregate Weekly Report" }, { "parameters": { "sendTo": "marketinghead@company.com", "subject": "=🌍 Weekly Market Entry Signals Report - {{ new Date().toLocaleDateString('en-US', { month: 'short', day: 'numeric', year: 'numeric' }) }}", "message": "=={{ $json.summary.replace(/\\n/g, '
') }}", "options": {} }, "type": "n8n-nodes-base.gmail", "typeVersion": 2.1, "position": [ 1152, -176 ], "id": "6c410313-b9a0-424f-9995-60f5d128aaa8", "name": "Send Email Report", "webhookId": "4b514281-0fbe-4206-be6c-26edd9211f00", "credentials": { "gmailOAuth2": { "id": "cyqCGWcggZNMcSOv", "name": "Gmail account" } } }, { "parameters": { "jsCode": "// UNIVERSAL AI RESPONSE PARSER - Same code for ALL cases\nconst items = [];\nconst input = $input.all();\n\nfunction extractJSON(text) {\n const jsonMatch = text.match(/\\{[\\s\\S]*\\}/);\n if (!jsonMatch) return null;\n return jsonMatch[0];\n}\n\ninput.forEach((item, index) => {\n try {\n let aiText = item.json.output[0].content[0].text || '';\n \n // Clean markdown code blocks\n aiText = aiText\n .replace(/```json/gi, '')\n .replace(/```/g, '')\n .trim();\n \n // Extract JSON object\n const jsonStr = extractJSON(aiText);\n \n if (!jsonStr) {\n throw new Error('No JSON found in AI response');\n }\n \n // Parse and return clean JSON\n const parsed = JSON.parse(jsonStr);\n items.push({ json: parsed });\n \n } catch (error) {\n console.error(`Parse error for item ${index}:`, error.message);\n // Return empty object on error - no case-specific fields\n items.push({ json: {} });\n }\n});\n\nreturn items;" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 416, -176 ], "id": "7bd92376-53d0-4165-a50a-50b7b41bb757", "name": "Parse AI Response" }, { "parameters": { "assignments": { "assignments": [ { "id": "timestamp", "name": "analysis_timestamp", "value": "={{ new Date().toISOString() }}", "type": "string" }, { "id": "brand", "name": "brand", "value": "={{ $('Get Dataset Items').item.json.ownerUsername || 'unknown' }}", "type": "string" }, { "id": "new_market", "name": "new_market", "value": "={{ $json.new_market }}", "type": "string" }, { "id": "city", "name": "city", "value": "={{ $json.city }}", "type": "string" }, { "id": "entry_type", "name": "entry_type", "value": "={{ $json.entry_type }}", "type": "string" }, { "id": "timeline", "name": "timeline", "value": "={{ $json.timeline }}", "type": "string" }, { "id": "store_count", "name": "store_count", "value": "={{ $json.store_count }}", "type": "string" }, { "id": "key_details", "name": "key_details", "value": "={{ $json.key_details }}", "type": "string" }, { "id": "strategic_significance", "name": "strategic_significance", "value": "={{ $json.strategic_significance }}", "type": "string" }, { "id": "competitive_impact", "name": "competitive_impact", "value": "={{ $json.competitive_impact }}", "type": "string" }, { "id": "post_caption", "name": "post_caption", "value": "={{ $('Get Dataset Items').item.json.caption || '' }}", "type": "string" }, { "id": "post_date", "name": "post_date", "value": "={{ $('Get Dataset Items').item.json.timestamp || '' }}", "type": "string" }, { "id": "post_url", "name": "post_url", "value": "={{ $('Get Dataset Items').item.json.url || '' }}", "type": "string" }, { "id": "likes", "name": "likes_count", "value": "={{ $('Get Dataset Items').item.json.likesCount || 0 }}", "type": "number" }, { "id": "comments", "name": "comments_count", "value": "={{ $('Get Dataset Items').item.json.commentsCount || 0 }}", "type": "number" }, { "id": "total_engagement", "name": "engagement_total", "value": "={{ ($('Get Dataset Items').item.json.likesCount || 0) + ($('Get Dataset Items').item.json.commentsCount || 0) }}", "type": "number" } ] }, "options": {} }, "type": "n8n-nodes-base.set", "typeVersion": 3.4, "position": [ 608, -176 ], "id": "c69e2cd7-6ab9-4bfc-bf2a-14de682e0a8f", "name": "Edit Fields" }, { "parameters": { "jsCode": "// UNIVERSAL AI RESPONSE PARSER - Same code for ALL cases\nconst items = [];\nconst input = $input.all();\n\nfunction extractJSON(text) {\n const jsonMatch = text.match(/\\{[\\s\\S]*\\}/);\n if (!jsonMatch) return null;\n return jsonMatch[0];\n}\n\ninput.forEach((item, index) => {\n try {\n let aiText = item.json.output[0].content[0].text || '';\n \n // Clean markdown code blocks\n aiText = aiText\n .replace(/```json/gi, '')\n .replace(/```/g, '')\n .trim();\n \n // Extract JSON object\n const jsonStr = extractJSON(aiText);\n \n if (!jsonStr) {\n throw new Error('No JSON found in AI response');\n }\n \n // Parse and return clean JSON\n const parsed = JSON.parse(jsonStr);\n items.push({ json: parsed });\n \n } catch (error) {\n console.error(`Parse error for item ${index}:`, error.message);\n // Return empty object on error - no case-specific fields\n items.push({ json: {} });\n }\n});\n\nreturn items;" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ -352, -176 ], "id": "6d94c45e-842c-4eb8-975a-d867d53bcb51", "name": "Parse AI Response1" }, { "parameters": { "assignments": { "assignments": [ { "id": "is_market_entry", "name": "is_market_entry", "value": "={{ $json.is_market_entry }}", "type": "string" }, { "id": "confidence", "name": "confidence", "value": "={{ $json.confidence }}", "type": "number" }, { "id": "reason", "name": "reason", "value": "={{ $json.reason }}", "type": "string" } ] }, "options": {} }, "type": "n8n-nodes-base.set", "typeVersion": 3.4, "position": [ -176, -176 ], "id": "b3160a71-6405-412c-90f3-ab96bb60c623", "name": "Edit Fields1" } ], "pinData": {}, "connections": { "Weekly Schedule - Monday 9 AM": { "main": [ [ { "node": "Scrape Competitor Instagram", "type": "main", "index": 0 } ] ] }, "Scrape Competitor Instagram": { "main": [ [ { "node": "Get Dataset Items", "type": "main", "index": 0 } ] ] }, "Get Dataset Items": { "main": [ [ { "node": "AI Validation - Market Entry Filter", "type": "main", "index": 0 } ] ] }, "AI Validation - Market Entry Filter": { "main": [ [ { "node": "Parse AI Response1", "type": "main", "index": 0 } ] ] }, "Filter Only Market Entry Posts": { "main": [ [ { "node": "AI Extract Market Entry Intelligence", "type": "main", "index": 0 } ] ] }, "AI Extract Market Entry Intelligence": { "main": [ [ { "node": "Parse AI Response", "type": "main", "index": 0 } ] ] }, "Log to Google Sheet": { "main": [ [ { "node": "Aggregate Weekly Report", "type": "main", "index": 0 } ] ] }, "Aggregate Weekly Report": { "main": [ [ { "node": "Send Email Report", "type": "main", "index": 0 } ] ] }, "Parse AI Response": { "main": [ [ { "node": "Edit Fields", "type": "main", "index": 0 } ] ] }, "Edit Fields": { "main": [ [ { "node": "Log to Google Sheet", "type": "main", "index": 0 } ] ] }, "Parse AI Response1": { "main": [ [ { "node": "Edit Fields1", "type": "main", "index": 0 } ] ] }, "Edit Fields1": { "main": [ [ { "node": "Filter Only Market Entry Posts", "type": "main", "index": 0 } ] ] } }, "active": false, "settings": { "executionOrder": "v1" }, "versionId": "ea751e1f-0f77-4bc7-9bde-8135e90e56e5", "meta": { "templateCredsSetupCompleted": true, "instanceId": "3a43da28588548e21903e71cf1dc3ddd65c24bf0c62e7e4b77542ffe87ad79c6" }, "id": "abaGgmJpkE5C8rhn", "tags": [] }