{ "name": "Case 85 - Social Media Manager - Health & Fitness News Tracker", "nodes": [ { "parameters": { "rule": { "interval": [ { "field": "cronExpression", "expression": "0 9 * * 1" } ] } }, "type": "n8n-nodes-base.scheduleTrigger", "typeVersion": 1.2, "position": [ -1104, -176 ], "id": "87cca9f2-2691-4f2c-be3e-d54b8f588a21", "name": "Weekly Schedule - Monday 9 AM" }, { "parameters": { "actorId": { "__rl": true, "value": "buIWk2uOUzTmcLsuB", "mode": "list", "cachedResultName": "Linkedin Post Search Scraper (No Cookies) (harvestapi/linkedin-post-search)", "cachedResultUrl": "https://console.apify.com/actors/buIWk2uOUzTmcLsuB/input" }, "customBody": "{\n \"authorUrls\": [\n \"https://www.linkedin.com/company/mens-health-magazine\",\n \"https://www.linkedin.com/company/womens-health-magazine\",\n \"https://www.linkedin.com/company/healthline\",\n \"https://www.linkedin.com/company/webmd\",\n \"https://www.linkedin.com/company/myfitnesspal\",\n \"https://www.linkedin.com/company/peloton-interactive\",\n \"https://www.linkedin.com/company/nike\",\n \"https://www.linkedin.com/company/lululemon\"\n ],\n \"searchQueries\": [\n \"new study\",\n \"research shows\",\n \"trending\",\n \"health news\",\n \"fitness trend\",\n \"study finds\"\n ],\n \"maxPosts\": 50,\n \"scrapeComments\": false,\n \"scrapeReactions\": false\n}" }, "type": "@apify/n8n-nodes-apify.apify", "typeVersion": 1, "position": [ -912, -176 ], "id": "984dce9f-2f4a-4377-908b-9d6220f34cc7", "name": "Scrape LinkedIn Health & Fitness News", "credentials": { "apifyApi": { "id": "w5S6YBbbyUddEfQA", "name": "Apify account" } } }, { "parameters": { "resource": "Datasets", "datasetId": "={{ $json.defaultDatasetId }}" }, "type": "@apify/n8n-nodes-apify.apify", "typeVersion": 1, "position": [ -720, -176 ], "id": "d1ae9929-0149-4fcb-b0c1-37a4f4ae807d", "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 Health & Fitness News Validation Expert.\n\nAnalyze LinkedIn posts to determine if they are genuine health/fitness news or trends.\n\nReturn ONLY valid JSON in this exact format:\n{\n \"is_health_news\": \"yes|no\",\n \"confidence\": 0.95,\n \"reason\": \"brief explanation\"\n}\n\nCriteria for \"yes\" (genuine health/fitness news):\n✅ Reports new research findings or studies\n✅ Announces emerging health/fitness trends\n✅ Shares expert health advice or recommendations\n✅ Discusses breakthrough treatments or approaches\n✅ Reports on health data, statistics, or surveys\n✅ Covers nutrition science updates\n✅ Discusses fitness methodology innovations\n✅ Mental health research or insights\n✅ Sleep science findings\n✅ Wellness trend analysis\n\nCriteria for \"no\" (NOT genuine news):\n❌ Product promotions or advertisements\n❌ Personal workout achievements (\"I ran 5K today\")\n❌ Gym selfies or transformation photos without insight\n❌ Motivational quotes without news value\n❌ Sales pitches for supplements/equipment\n❌ Class schedules or event announcements\n❌ Generic fitness tips without research backing\n❌ Influencer personal routines without educational value\n\nRules:\n1. confidence: 0-1 scale (0.9+ for very clear news/trends)\n2. reason: 1 sentence explaining the decision\n3. Be strict - require actual news value or trend insight\n4. Return ONLY the JSON object, no explanations" }, { "content": "=Analyze this LinkedIn post to determine if it's genuine health/fitness news:\n\nAuthor: {{ $json.author.name }}\nPost Date: {{ $json.postedAt.date }}\nPost Content: {{ $json.content }}\n\nReturn only JSON." } ] }, "builtInTools": {}, "options": {} }, "type": "@n8n/n8n-nodes-langchain.openAi", "typeVersion": 2.1, "position": [ -576, -176 ], "id": "47e65841-473b-4dc1-8952-2553f80cd4be", "name": "AI Validation Filter", "credentials": { "openAiApi": { "id": "ICwxUBbatsF2sDvy", "name": "OpenAi 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": [ -304, -176 ], "id": "6e636067-8c99-43d1-9b50-c33efaeb8b1f", "name": "Parse AI Validation" }, { "parameters": { "assignments": { "assignments": [ { "id": "is_health_news", "name": "is_health_news", "value": "={{ $json.is_health_news }}", "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": [ -128, -176 ], "id": "71be1443-29bd-433d-a9c2-377e6fa3def3", "name": "Edit Fields - Validation" }, { "parameters": { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 1 }, "conditions": [ { "id": "condition-001", "leftValue": "={{ $json.is_health_news }}", "rightValue": "yes", "operator": { "type": "string", "operation": "equals" } } ], "combinator": "and" }, "options": {} }, "type": "n8n-nodes-base.filter", "typeVersion": 2, "position": [ 64, -176 ], "id": "5b027759-1774-4107-9722-ef1449bfa1b1", "name": "Filter Only Health News" }, { "parameters": { "modelId": { "__rl": true, "value": "gpt-4o-mini", "mode": "list", "cachedResultName": "GPT-4o-mini" }, "responses": { "values": [ { "role": "system", "content": "=You are a Social Media Content Strategy Analyst.\n\nExtract structured health/fitness news information from LinkedIn posts to inform content strategy.\n\nReturn ONLY valid JSON in this exact format:\n{\n \"news_topic\": \"Brief headline/topic (max 100 chars)\",\n \"topic_category\": \"Nutrition|Fitness|Mental Health|Sleep|Recovery|Supplements|Weight Loss|Strength Training|Cardio|Yoga|Wellness|Other\",\n \"trend_virality\": \"High|Medium|Low\",\n \"content_angle\": \"Educational|Inspirational|Controversial|How-to|News Report|Expert Opinion\",\n \"source_credibility\": \"Peer-reviewed Study|Medical Expert|Fitness Influencer|Brand|News Outlet|Other\",\n \"shareability_score\": \"High|Medium|Low - how likely to go viral?\",\n \"optimal_platform\": \"Instagram|LinkedIn|TikTok|Facebook|Twitter|Multiple\",\n \"hashtags_mentioned\": [\"#hashtag1\", \"#hashtag2\", \"#hashtag3\"],\n \"content_idea\": \"Suggested post angle for our brand (max 150 chars)\",\n \"urgency\": \"Post Today|Post This Week|Evergreen Content\"\n}\n\nExtraction Rules:\n1. news_topic: Create concise headline\n2. topic_category: Categorize into fitness/health domain\n3. trend_virality (based on engagement + topic novelty):\n - High = 500+ engagement, controversial/new topic\n - Medium = 100-499 engagement, interesting topic\n - Low = <100 engagement, niche topic\n4. content_angle: How is this being presented?\n5. source_credibility: Evaluate source authority\n6. shareability_score:\n - High = Surprising, actionable, or controversial\n - Medium = Interesting but not groundbreaking\n - Low = Niche or technical\n7. optimal_platform: Best social media platform for this content type\n8. hashtags_mentioned: Extract all hashtags (up to 5)\n9. content_idea: How can our brand repurpose this?\n10. urgency: Time-sensitivity for posting\n\nReturn ONLY the JSON object, no explanations." }, { "content": "=Extract health/fitness news intelligence from this LinkedIn post:\n\nAuthor: {{ $('Get Dataset Items').item.json.author.name }}\nPost Date: {{ $('Get Dataset Items').item.json.postedAt.date }}\nPost Content: {{ $('Get Dataset Items').item.json.content }}\nEngagement: {{ $('Get Dataset Items').item.json.engagement.likes }} likes, {{ $('Get Dataset Items').item.json.engagement.comments }} comments, {{ $('Get Dataset Items').item.json.engagement.shares }} shares\n\nReturn only JSON." } ] }, "builtInTools": {}, "options": {} }, "type": "@n8n/n8n-nodes-langchain.openAi", "typeVersion": 2.1, "position": [ 208, -176 ], "id": "057444a9-331b-44df-876a-087a2db0142c", "name": "AI Extract News Intelligence", "credentials": { "openAiApi": { "id": "ICwxUBbatsF2sDvy", "name": "OpenAi 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": [ 480, -176 ], "id": "f2307bd3-41c8-46ea-8ba9-a560e9cc6d76", "name": "Parse AI Response" }, { "parameters": { "assignments": { "assignments": [ { "id": "timestamp", "name": "found_date", "value": "={{ new Date().toISOString() }}", "type": "string" }, { "id": "source_name", "name": "source_name", "value": "={{ $('Get Dataset Items').item.json.author?.name || 'unknown' }}", "type": "string" }, { "id": "news_topic", "name": "news_topic", "value": "={{ $json.news_topic }}", "type": "string" }, { "id": "topic_category", "name": "topic_category", "value": "={{ $json.topic_category }}", "type": "string" }, { "id": "trend_virality", "name": "trend_virality", "value": "={{ $json.trend_virality }}", "type": "string" }, { "id": "content_angle", "name": "content_angle", "value": "={{ $json.content_angle }}", "type": "string" }, { "id": "source_credibility", "name": "source_credibility", "value": "={{ $json.source_credibility }}", "type": "string" }, { "id": "shareability", "name": "shareability_score", "value": "={{ $json.shareability_score }}", "type": "string" }, { "id": "platform", "name": "optimal_platform", "value": "={{ $json.optimal_platform }}", "type": "string" }, { "id": "hashtags", "name": "hashtags_mentioned", "value": "={{ $json.hashtags_mentioned }}", "type": "array" }, { "id": "content_idea", "name": "content_idea", "value": "={{ $json.content_idea }}", "type": "string" }, { "id": "urgency", "name": "urgency", "value": "={{ $json.urgency }}", "type": "string" }, { "id": "post_content", "name": "post_content", "value": "={{ $('Get Dataset Items').item.json.content || '' }}", "type": "string" }, { "id": "post_date", "name": "post_date", "value": "={{ $('Get Dataset Items').item.json.postedAt?.date || '' }}", "type": "string" }, { "id": "post_url", "name": "post_url", "value": "={{ $('Get Dataset Items').item.json.linkedinUrl || '' }}", "type": "string" }, { "id": "likes", "name": "likes_count", "value": "={{ $('Get Dataset Items').item.json.engagement?.likes || 0 }}", "type": "number" }, { "id": "comments", "name": "comments_count", "value": "={{ $('Get Dataset Items').item.json.engagement?.comments || 0 }}", "type": "number" }, { "id": "shares", "name": "shares_count", "value": "={{ $('Get Dataset Items').item.json.engagement?.shares || 0 }}", "type": "number" }, { "id": "total_engagement", "name": "engagement_total", "value": "={{ ($('Get Dataset Items').item.json.engagement?.likes || 0) + ($('Get Dataset Items').item.json.engagement?.comments || 0) + ($('Get Dataset Items').item.json.engagement?.shares || 0) }}", "type": "number" } ] }, "options": {} }, "type": "n8n-nodes-base.set", "typeVersion": 3.4, "position": [ 640, -176 ], "id": "dcb06b42-25f2-455c-bcf8-4642272bfb61", "name": "Edit Fields" }, { "parameters": { "operation": "append", "documentId": { "__rl": true, "value": "12SU47GhYoKDq6C-w7Soswb14vRx9Ta5ORSdpqPNwztY", "mode": "list", "cachedResultName": "Case 85 - Health & Fitness News Log", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/12SU47GhYoKDq6C-w7Soswb14vRx9Ta5ORSdpqPNwztY/edit?usp=drivesdk" }, "sheetName": { "__rl": true, "value": "gid=0", "mode": "list", "cachedResultName": "Sheet1", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/12SU47GhYoKDq6C-w7Soswb14vRx9Ta5ORSdpqPNwztY/edit#gid=0" }, "columns": { "mappingMode": "defineBelow", "value": { "Found_Date": "={{ $json.found_date }}", "Source_Name": "={{ $json.source_name }}", "News_Topic": "={{ $json.news_topic }}", "Topic_Category": "={{ $json.topic_category }}", "Trend_Virality": "={{ $json.trend_virality }}", "Content_Angle": "={{ $json.content_angle }}", "Source_Credibility": "={{ $json.source_credibility }}", "Shareability_Score": "={{ $json.shareability_score }}", "Optimal_Platform": "={{ $json.optimal_platform }}", "Hashtags_Mentioned": "={{ $json.hashtags_mentioned.join(' ') }}", "Content_Idea": "={{ $json.content_idea }}", "Urgency": "={{ $json.urgency }}", "Post_Date": "={{ $json.post_date }}", "Likes": "={{ $json.likes_count }}", "Comments": "={{ $json.comments_count }}", "Shares": "={{ $json.shares_count }}", "Total_Engagement": "={{ $json.engagement_total }}", "Post_URL": "={{ $json.post_url }}", "Post_Content": "={{ $json.post_content }}" }, "matchingColumns": [], "schema": [ { "id": "Found_Date", "displayName": "Found_Date", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Source_Name", "displayName": "Source_Name", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "News_Topic", "displayName": "News_Topic", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Topic_Category", "displayName": "Topic_Category", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Trend_Virality", "displayName": "Trend_Virality", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Content_Angle", "displayName": "Content_Angle", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Source_Credibility", "displayName": "Source_Credibility", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Shareability_Score", "displayName": "Shareability_Score", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Optimal_Platform", "displayName": "Optimal_Platform", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Hashtags_Mentioned", "displayName": "Hashtags_Mentioned", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Content_Idea", "displayName": "Content_Idea", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Urgency", "displayName": "Urgency", "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": "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": "Shares", "displayName": "Shares", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Total_Engagement", "displayName": "Total_Engagement", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Post_URL", "displayName": "Post_URL", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true }, { "id": "Post_Content", "displayName": "Post_Content", "required": false, "defaultMatch": false, "display": true, "type": "string", "canBeUsedToMatch": true } ], "attemptToConvertTypes": false, "convertFieldsToString": false }, "options": {} }, "type": "n8n-nodes-base.googleSheets", "typeVersion": 4.7, "position": [ 816, -176 ], "id": "f42dbd68-d990-4c16-8aaa-5995b3b567b4", "name": "Log to Content Calendar", "credentials": { "googleSheetsOAuth2Api": { "id": "LOs2dbk9lby0NfDM", "name": "Google Sheets account" } } }, { "parameters": { "jsCode": "// Aggregate all items from Google Sheets into email-ready summary\nconst allItems = $input.all();\n\n// Count by topic category\nconst categoryCounts = {};\nallItems.forEach(item => {\n const category = item.json.Topic_Category || 'Other';\n categoryCounts[category] = (categoryCounts[category] || 0) + 1;\n});\n\nconst topCategories = Object.entries(categoryCounts)\n .sort((a, b) => b[1] - a[1]);\n\n// Count by virality\nconst viralityCounts = {};\nallItems.forEach(item => {\n const virality = item.json.Trend_Virality || 'Unknown';\n viralityCounts[virality] = (viralityCounts[virality] || 0) + 1;\n});\n\n// Count by urgency\nconst urgencyCounts = {};\nallItems.forEach(item => {\n const urgency = item.json.Urgency || 'Evergreen';\n urgencyCounts[urgency] = (urgencyCounts[urgency] || 0) + 1;\n});\n\n// High virality + high shareability content\nconst viralContent = allItems.filter(item => \n item.json.Trend_Virality === 'High' && item.json.Shareability_Score === 'High'\n);\n\n// Urgent content (post today)\nconst urgentContent = allItems.filter(item => \n item.json.Urgency === 'Post Today'\n);\n\n// Count by platform\nconst platformCounts = {};\nallItems.forEach(item => {\n const platform = item.json.Optimal_Platform || 'Multiple';\n platformCounts[platform] = (platformCounts[platform] || 0) + 1;\n});\n\n// All hashtags mentioned (frequency)\nconst hashtagCounts = {};\nallItems.forEach(item => {\n const hashtagsString = item.json.Hashtags_Mentioned || '';\n if (hashtagsString) {\n const hashtags = hashtagsString.split(' ').filter(h => h.startsWith('#'));\n hashtags.forEach(tag => {\n hashtagCounts[tag] = (hashtagCounts[tag] || 0) + 1;\n });\n }\n});\n\nconst trendingHashtags = Object.entries(hashtagCounts)\n .sort((a, b) => b[1] - a[1])\n .slice(0, 10);\n\n// Build HTML table rows\nconst tableRows = allItems.map(item => {\n const data = item.json;\n const viralityColor = data.Trend_Virality === 'High' ? '#dc3545' : \n data.Trend_Virality === 'Medium' ? '#ffc107' : '#28a745';\n const urgencyColor = data.Urgency === 'Post Today' ? '#dc3545' : \n data.Urgency === 'Post This Week' ? '#ffc107' : '#6c757d';\n \n return `\n \n ${data.News_Topic || 'N/A'}\n ${data.Topic_Category || 'N/A'}\n ${data.Trend_Virality || 'N/A'}\n ${data.Shareability_Score || 'N/A'}\n ${data.Urgency || 'N/A'}\n ${data.Optimal_Platform || 'N/A'}\n View\n \n `;\n}).join('');\n\n// Return single aggregated item\nreturn {\n json: {\n week_start: new Date(Date.now() - 7*24*60*60*1000).toISOString().split('T')[0],\n week_end: new Date().toISOString().split('T')[0],\n total_news_items: allItems.length,\n category_breakdown: topCategories,\n virality_breakdown: Object.entries(viralityCounts),\n urgency_breakdown: Object.entries(urgencyCounts),\n viral_content_count: viralContent.length,\n urgent_content_count: urgentContent.length,\n platform_breakdown: Object.entries(platformCounts),\n trending_hashtags: trendingHashtags,\n table_rows: tableRows,\n all_news: allItems.map(item => item.json)\n }\n};" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 992, -176 ], "id": "fcdf8ba2-eb1d-4938-b8b1-8c694f16115a", "name": "Aggregate Weekly Summary" }, { "parameters": { "sendTo": "social-media-team@company.com", "subject": "=📊 Weekly Health & Fitness Content Ideas: {{ $json.week_start }} to {{ $json.week_end }}", "message": "=WEEKLY HEALTH & FITNESS CONTENT INTELLIGENCE\n================================================\nReport Period: {{ $json.week_start }} to {{ $json.week_end }}\n\nOVERVIEW:\nTotal Trending Topics Found: {{ $json.total_news_items }}\nHigh Viral Potential: {{ $json.viral_content_count }}\nPost Today (Urgent): {{ $json.urgent_content_count }}\n\nTOP TRENDING CATEGORIES:\n{{ $json.category_breakdown.map(([category, count]) => category + ': ' + count + ' topics').join('\\n') }}\n\nVIRALITY BREAKDOWN:\n{{ $json.virality_breakdown.map(([virality, count]) => virality + ': ' + count).join('\\n') }}\n\nCONTENT URGENCY:\n{{ $json.urgency_breakdown.map(([urgency, count]) => urgency + ': ' + count).join('\\n') }}\n\nOPTIMAL PLATFORM DISTRIBUTION:\n{{ $json.platform_breakdown.map(([platform, count]) => platform + ': ' + count).join('\\n') }}\n\nTRENDING HASHTAGS:\n{{ $json.trending_hashtags.map(([tag, count], i) => (i+1) + '. ' + tag + ' (' + count + ' mentions)').join('\\n') }}\n\n🔥 ACTION REQUIRED:\n⚡ {{ $json.urgent_content_count }} topics need immediate posts today!\n🚀 {{ $json.viral_content_count }} high-viral-potential content ideas ready!\n\nFull content calendar with post ideas in Google Sheets.\n\nGenerated: {{ new Date().toLocaleDateString() }}", "options": {} }, "type": "n8n-nodes-base.gmail", "typeVersion": 2.1, "position": [ 1168, -176 ], "id": "3fce74de-927f-4c41-91a2-39a04adeb1ee", "name": "Send Weekly Content Digest", "webhookId": "4bd3ad8a-5a85-41ed-8803-6538318a5837", "credentials": { "gmailOAuth2": { "id": "cyqCGWcggZNMcSOv", "name": "Gmail account" } } } ], "pinData": {}, "connections": { "Weekly Schedule - Monday 9 AM": { "main": [ [ { "node": "Scrape LinkedIn Health & Fitness News", "type": "main", "index": 0 } ] ] }, "Scrape LinkedIn Health & Fitness News": { "main": [ [ { "node": "Get Dataset Items", "type": "main", "index": 0 } ] ] }, "Get Dataset Items": { "main": [ [ { "node": "AI Validation Filter", "type": "main", "index": 0 } ] ] }, "AI Validation Filter": { "main": [ [ { "node": "Parse AI Validation", "type": "main", "index": 0 } ] ] }, "Parse AI Validation": { "main": [ [ { "node": "Edit Fields - Validation", "type": "main", "index": 0 } ] ] }, "Edit Fields - Validation": { "main": [ [ { "node": "Filter Only Health News", "type": "main", "index": 0 } ] ] }, "Filter Only Health News": { "main": [ [ { "node": "AI Extract News Intelligence", "type": "main", "index": 0 } ] ] }, "AI Extract News Intelligence": { "main": [ [ { "node": "Parse AI Response", "type": "main", "index": 0 } ] ] }, "Parse AI Response": { "main": [ [ { "node": "Edit Fields", "type": "main", "index": 0 } ] ] }, "Edit Fields": { "main": [ [ { "node": "Log to Content Calendar", "type": "main", "index": 0 } ] ] }, "Log to Content Calendar": { "main": [ [ { "node": "Aggregate Weekly Summary", "type": "main", "index": 0 } ] ] }, "Aggregate Weekly Summary": { "main": [ [ { "node": "Send Weekly Content Digest", "type": "main", "index": 0 } ] ] } }, "active": false, "settings": { "executionOrder": "v1" }, "versionId": "95c41719-7f81-4fc0-8487-297fc3311f2f", "meta": { "instanceId": "3a43da28588548e21903e71cf1dc3ddd65c24bf0c62e7e4b77542ffe87ad79c6" }, "id": "f9FRSL7eLskE2fe3", "tags": [] }