{"workflow":{"id":14014,"name":"Analyze competitor Instagram engagement with Bright Data and GPT-5.4","views":45,"recentViews":1,"totalViews":45,"createdAt":"2026-03-12T14:13:34.579Z","description":"Analyze competitor Instagram engagement by scraping profiles with Bright Data and scoring them with GPT-5.4.\n\nThis workflow reads competitor Instagram URLs from a Google Sheet, scrapes their profile data using the Bright Data Instagram Profiles dataset, validates the API response, then sends the data to GPT-5.4 for engagement scoring. Each competitor is scored on follower growth, engagement rate quality, content consistency, and audience authenticity (0-25 each, total 0-100). High-scoring competitors trigger email alerts.\n\nHow it works:\n1. Schedule trigger runs the workflow daily.\n2. Reads competitor URLs from the 'competitor_accounts' sheet.\n3. Sends each URL to Bright Data's Instagram Profiles API.\n4. Validates the API response (handles async/error cases).\n5. GPT-5.4 analyzes profile metrics and scores engagement quality.\n6. Parses the structured JSON response.\n7. Filters by AI confidence (>= 0.7 threshold).\n8. Routes high scorers (engagement_score >= 75) to 'top_performers' with Gmail alert.\n9. Routes normal results to 'engagement_analysis'.\n10. Low confidence results go to 'low_confidence_engagement' for review.\n\nSetup:\n- Create a Google Sheet with a 'competitor_accounts' tab containing columns: competitor_name, url, our_industry.\n- Add output tabs: engagement_analysis, top_performers, low_confidence_engagement.\n- Configure all credentials (Bright Data API, OpenAI, Google Sheets, Gmail).\n\nRequirements:\n- Bright Data API account (~$0.01-0.03 per profile scrape).\n- OpenAI API account (GPT-5.4 costs ~$0.003-0.008 per call).\n- Google Sheets OAuth2 credentials.\n- Gmail OAuth2 credentials.\n\nNotes:\n- Add competitors one per row with their full Instagram profile URL.\n- The engagement_score threshold of 75 can be adjusted in the IF node.\n- Low confidence results may indicate incomplete profile data from Bright Data.\n","workflow":{"meta":{"instanceId":"12e6f290a974a1eee154f8d915aade185e90e826260e6aeab8a087ba7386a1bc"},"nodes":[{"id":"58d72e7d-b991-4504-be10-41530abb1568","name":"Daily Engagement Scan","type":"n8n-nodes-base.scheduleTrigger","position":[480,688],"parameters":{"rule":{"interval":[{"field":"hours"}]}},"typeVersion":1.2},{"id":"cee353f1-b8bc-4775-b411-2432e9da5c27","name":"Read Competitor Accounts","type":"n8n-nodes-base.googleSheets","position":[752,688],"parameters":{"options":{},"sheetName":{"__rl":true,"mode":"id","value":"competitor_accounts"},"documentId":{"__rl":true,"mode":"id","value":"YOUR_SPREADSHEET_ID"}},"typeVersion":4.7},{"id":"3442733f-9516-44e8-9957-d426dae69428","name":"Scrape Instagram Profiles","type":"n8n-nodes-base.httpRequest","position":[1232,688],"parameters":{"url":"=https://api.brightdata.com/datasets/v3/scrape?dataset_id=gd_l1vikfch901nx3by4&format=json","method":"POST","options":{"timeout":60000},"jsonBody":"={{ JSON.stringify({ input: [{ url: $json.url }] }) }}","sendBody":true,"specifyBody":"json","authentication":"genericCredentialType","genericAuthType":"httpHeaderAuth"},"typeVersion":4.2},{"id":"82fe687d-c4ae-43cd-8347-6497179bf210","name":"Validate BD Response","type":"n8n-nodes-base.code","position":[1488,688],"parameters":{"jsCode":"const input = $input.first().json;\n\n// Handle array response (synchronous success)\nif (Array.isArray(input)) {\n  if (input.length === 0) {\n    return [{ json: { error: 'Bright Data returned empty results', status: 'no_data' } }];\n  }\n  return input.map(item => ({ json: { ...item, status: 'ok' } }));\n}\n\n// Handle object response\nif (input.snapshot_id) {\n  return [{ json: { error: 'Async response - snapshot not ready', snapshot_id: input.snapshot_id, status: 'async_pending' } }];\n}\n\nif (input.error || input.message) {\n  return [{ json: { error: input.error || input.message, status: 'api_error' } }];\n}\n\n// Pass through valid single-object response\nreturn [{ json: { ...input, status: 'ok' } }];"},"typeVersion":2},{"id":"be302640-982d-4f89-af14-03355442d886","name":"Analyze Engagement","type":"@n8n/n8n-nodes-langchain.agent","onError":"continueErrorOutput","position":[2000,688],"parameters":{"text":"Analyze this Instagram competitor profile.\n\nCompetitor: {{ $json.competitor_name }}\nIndustry: {{ $json.our_industry }}\n\nScraped profile data:\n{{ JSON.stringify($json, null, 2) }}","options":{"systemMessage":"You are an Instagram competitive intelligence analyst.\nYou receive scraped Instagram profile data for a competitor account.\n\nYour task: analyze the profile metrics and score the competitor on engagement quality.\n\nScoring rubric (0-25 each, total engagement_score 0-100):\n\nfollower_growth_signal (0-25):\n  0-5: Declining or stagnant follower count, signs of bought followers\n  6-12: Slow but organic growth patterns\n  13-19: Steady growth with periodic spikes from viral content\n  20-25: Strong consistent growth indicating high audience demand\n\nengagement_rate_quality (0-25):\n  0-5: Below 0.5% engagement rate or engagement looks artificial\n  6-12: 0.5-2% rate, mostly passive likes with few comments\n  13-19: 2-5% rate with genuine comment threads\n  20-25: 5%+ rate with deep audience interaction and saves/shares\n\ncontent_consistency (0-25):\n  0-5: Sporadic posting, no visual or thematic coherence\n  6-12: Semi-regular posting, some brand consistency\n  13-19: Regular cadence with clear content pillars\n  20-25: Highly consistent brand voice, posting schedule, and visual identity\n\naudience_authenticity (0-25):\n  0-5: High bot/fake follower indicators\n  6-12: Some suspicious patterns but mostly real\n  13-19: Predominantly authentic audience\n  20-25: Highly authentic, engaged community with UGC signals\n\nCRITICAL OUTPUT RULES:\n- Return ONLY a raw JSON object. Nothing else.\n- No markdown. No code fences. No explanations before or after.\n\nOutput schema:\n{\n  \"competitor_name\": \"string\",\n  \"follower_count\": number,\n  \"follower_growth_signal\": number,\n  \"engagement_rate_quality\": number,\n  \"content_consistency\": number,\n  \"audience_authenticity\": number,\n  \"engagement_score\": number,\n  \"top_content_types\": [\"string\"],\n  \"posting_frequency\": \"string\",\n  \"key_strengths\": [\"string\"],\n  \"key_weaknesses\": [\"string\"],\n  \"strategic_takeaway\": \"string\",\n  \"eval\": {\n    \"confidence\": 0.0,\n    \"reasoning\": \"string\",\n    \"data_quality\": \"high|medium|low\",\n    \"evidence_count\": 0\n  }\n}\n\nSELF-EVALUATION (mandatory):\nInclude an \"eval\" object in your response with:\n- confidence: float 0.0-1.0, your confidence in the analysis quality\n- reasoning: 1 sentence explaining your confidence level\n- data_quality: \"high\", \"medium\", or \"low\" based on input completeness\n- evidence_count: integer, number of data points you based the analysis on"},"promptType":"define"},"typeVersion":3},{"id":"509961a9-0df1-45c1-9b4e-4267424aecdc","name":"GPT-5.4 Model","type":"@n8n/n8n-nodes-langchain.lmChatOpenAi","position":[2000,928],"parameters":{"model":"gpt-5.4","options":{}},"typeVersion":1},{"id":"64d17917-37d7-4b5a-affd-4591b8209696","name":"Parse AI Output","type":"n8n-nodes-base.code","position":[2272,688],"parameters":{"jsCode":"const raw = $input.first().json.output || $input.first().json.text || '';\nconst clean = raw.replace(/```json\\n?/g, '').replace(/```\\n?/g, '').trim();\n\nlet parsed;\ntry {\n  parsed = JSON.parse(clean);\n} catch (e) {\n  parsed = {\n    error: 'Failed to parse AI response',\n    parse_error: e.message,\n    raw_preview: raw.substring(0, 200)\n  };\n}\nconst original = $(\"Read Competitor Accounts\").first().json;\n\nreturn [{ json: { ...original, ...parsed, processed_at: new Date().toISOString() } }];"},"typeVersion":2},{"id":"bb4228b8-6760-427e-9655-d1ddd6eb207d","name":"IF Confidence >= 0.7","type":"n8n-nodes-base.if","onError":"continueErrorOutput","position":[2528,688],"parameters":{"options":{},"conditions":{"options":{"leftValue":"","caseSensitive":true,"typeValidation":"strict"},"combinator":"and","conditions":[{"id":"87d141e2-e963-4e85-93d1-ac205bdf08a0","operator":{"type":"number","operation":"gte"},"leftValue":"={{ $json.eval.confidence }}","rightValue":0.7}]}},"typeVersion":2.2},{"id":"9d4e2c5e-faa9-4f72-812b-1d7b53038064","name":"IF Engagement >= 75","type":"n8n-nodes-base.if","onError":"continueErrorOutput","position":[2784,544],"parameters":{"options":{},"conditions":{"options":{"leftValue":"","caseSensitive":true,"typeValidation":"strict"},"combinator":"and","conditions":[{"id":"33d3c50a-635f-4643-a195-8215feb812b2","operator":{"type":"number","operation":"gte"},"leftValue":"{{ $json.engagement_score }}","rightValue":75}]}},"typeVersion":2.2},{"id":"f6f6a556-df6d-4f61-be8c-3e4e68056b3f","name":"Alert Top Performer","type":"n8n-nodes-base.gmail","position":[3040,400],"webhookId":"3d5835b7-69c9-4a2f-8f73-83ea1db83218","parameters":{"sendTo":"={{ $('Read Competitor Accounts').first().json.team_email || 'team@company.com' }}","message":"=Competitor {{ $json.competitor_name }} scored {{ $json.engagement_score }}/100 on engagement analysis.\n\nKey strengths: {{ $json.key_strengths }}\nStrategic takeaway: {{ $json.strategic_takeaway }}","options":{},"subject":"=High-Performing Competitor: {{ $json.competitor_name }} (Score: {{ $json.engagement_score }}/100)","emailType":"text"},"typeVersion":2.1},{"id":"e7f72917-6374-4673-8088-d67103561400","name":"Append Top Performers","type":"n8n-nodes-base.googleSheets","position":[3040,544],"parameters":{"columns":{"value":{},"schema":[],"mappingMode":"autoMapInputData","matchingColumns":[]},"options":{},"operation":"append","sheetName":{"__rl":true,"mode":"id","value":"top_performers"},"documentId":{"__rl":true,"mode":"id","value":"YOUR_SPREADSHEET_ID"}},"typeVersion":4.7},{"id":"4750a4c4-d84f-4ac1-a7a2-2e128f295bde","name":"Append Engagement Analysis","type":"n8n-nodes-base.googleSheets","position":[3040,768],"parameters":{"columns":{"value":{},"schema":[],"mappingMode":"autoMapInputData","matchingColumns":[]},"options":{},"operation":"append","sheetName":{"__rl":true,"mode":"id","value":"engagement_analysis"},"documentId":{"__rl":true,"mode":"id","value":"YOUR_SPREADSHEET_ID"}},"typeVersion":4.7},{"id":"05c441ad-a699-49e9-9877-fffa614d8ac4","name":"Append Low Confidence","type":"n8n-nodes-base.googleSheets","position":[2784,768],"parameters":{"columns":{"value":{},"schema":[],"mappingMode":"autoMapInputData","matchingColumns":[]},"options":{},"operation":"append","sheetName":{"__rl":true,"mode":"id","value":"low_confidence_engagement"},"documentId":{"__rl":true,"mode":"id","value":"YOUR_SPREADSHEET_ID"}},"typeVersion":4.7},{"id":"8aa665c6-af9d-4c38-8dad-21643fbb942e","name":"Calculate Raw Engagement Metrics","type":"n8n-nodes-base.code","position":[1744,688],"parameters":{"jsCode":"const items = $input.all();\nreturn items.map(item => {\n  const d = item.json;\n  const followers = d.followers_count || d.follower_count || 1;\n  const avgLikes = d.avg_likes || d.edge_liked_by || 0;\n  const avgComments = d.avg_comments || 0;\n  const engagementRate = ((avgLikes + avgComments) / followers * 100).toFixed(2);\n  const postsPerWeek = d.media_count ? Math.min(d.media_count / 52, 20).toFixed(1) : 'unknown';\n  return { json: { ...d, calculated_engagement_rate: parseFloat(engagementRate),\n    posts_per_week: postsPerWeek, metrics_calculated: true } };\n});"},"typeVersion":2},{"id":"f528564a-35c3-4e31-84df-950f9c27b293","name":"Process Items One by One","type":"n8n-nodes-base.splitInBatches","position":[992,688],"parameters":{"options":{}},"typeVersion":3},{"id":"b72803b0-5834-4313-8d00-6dccb93c4632","name":"Sticky Note","type":"n8n-nodes-base.stickyNote","position":[-368,-96],"parameters":{"width":560,"height":720,"content":"### How it works\n\nThis workflow monitors competitor Instagram accounts on a daily schedule. It reads profile URLs from a Google Sheet, scrapes each one through the Bright Data Instagram Profiles API, and calculates raw engagement metrics like engagement rate and posting frequency.\n\nGPT-5.4 then analyzes each profile across four dimensions: follower growth signals, engagement rate quality, content consistency, and audience authenticity. Each dimension is scored 0-25 for a total engagement score of 0-100.\n\nTwo quality gates filter the results. A confidence check (>= 0.7) discards unreliable AI outputs. An engagement threshold (>= 75) separates top performers from the rest. High scorers go to the 'top_performers' sheet and trigger a Gmail alert. All other results go to 'engagement_analysis'. Low-confidence outputs land in 'low_confidence_engagement' for review.\n\n### Setup\n\n1. Create a Google Sheet with a tab named 'competitor_accounts' and a 'url' column containing Instagram profile URLs\n2. Add your Bright Data API key as an HTTP Header Auth credential (Bearer token)\n3. Add your OpenAI API key\n4. Connect Google Sheets via OAuth\n5. Connect Gmail via OAuth for alerts\n6. Update the recipient in the 'Alert Top Performer' node\n\nCost: ~$0.01-0.03 per profile (Bright Data) + ~$0.005 per analysis (GPT-5.4)"},"typeVersion":1},{"id":"69ff9502-6db9-4c0e-9920-d304badf2990","name":"Sticky Note1","type":"n8n-nodes-base.stickyNote","position":[448,496],"parameters":{"color":7,"width":460,"height":296,"content":"## 1. Data Input\n\nTriggers daily at 8 AM. Reads competitor Instagram profile URLs from the 'competitor_accounts' sheet and processes them one at a time."},"typeVersion":1},{"id":"a5062c63-4a9f-4e37-9dea-7ada7a71bd21","name":"Sticky Note2","type":"n8n-nodes-base.stickyNote","position":[1184,464],"parameters":{"color":7,"width":672,"height":328,"content":"## 2. Scrape & Validate\n\nSends each URL to the Bright Data Instagram API, validates the response, and calculates raw engagement metrics."},"typeVersion":1},{"id":"8313d152-591c-4ab9-8e03-31e27d9615ca","name":"Sticky Note3","type":"n8n-nodes-base.stickyNote","position":[1984,416],"parameters":{"color":7,"width":396,"height":448,"content":"## 3. AI Analysis\n\nGPT-5.4 scores each profile on follower growth, engagement quality, content consistency, and audience authenticity (0-100)."},"typeVersion":1},{"id":"ed241d1d-2609-4d1d-91e1-0cd416cec306","name":"Sticky Note4","type":"n8n-nodes-base.stickyNote","position":[2480,320],"parameters":{"color":7,"width":832,"height":728,"content":"## 4. Quality Gates & Output\n\nConfidence gate (>= 0.7) and engagement threshold (>= 75) route results to three sheets. Top performers trigger Gmail alerts."},"typeVersion":1}],"pinData":{},"connections":{"GPT-5.4 Model":{"ai_languageModel":[[{"node":"Analyze Engagement","type":"ai_languageModel","index":0}]]},"Parse AI Output":{"main":[[{"node":"IF Confidence >= 0.7","type":"main","index":0}]]},"Analyze Engagement":{"main":[[{"node":"Parse AI Output","type":"main","index":0}]]},"IF Engagement >= 75":{"main":[[{"node":"Alert Top Performer","type":"main","index":0},{"node":"Append Top Performers","type":"main","index":0}],[{"node":"Append Engagement Analysis","type":"main","index":0}]]},"IF Confidence >= 0.7":{"main":[[{"node":"IF Engagement >= 75","type":"main","index":0}],[{"node":"Append Low Confidence","type":"main","index":0}]]},"Validate BD Response":{"main":[[{"node":"Calculate Raw Engagement Metrics","type":"main","index":0}]]},"Append Low Confidence":{"main":[[{"node":"Process Items One by One","type":"main","index":0}]]},"Append Top Performers":{"main":[[{"node":"Process Items One by One","type":"main","index":0}]]},"Daily Engagement Scan":{"main":[[{"node":"Read Competitor Accounts","type":"main","index":0}]]},"Process Items One by One":{"main":[[{"node":"Scrape Instagram Profiles","type":"main","index":0}]]},"Read Competitor Accounts":{"main":[[{"node":"Process Items One by One","type":"main","index":0}]]},"Scrape Instagram Profiles":{"main":[[{"node":"Validate BD Response","type":"main","index":0}]]},"Append Engagement Analysis":{"main":[[{"node":"Process Items One by One","type":"main","index":0}]]},"Calculate Raw Engagement Metrics":{"main":[[{"node":"Analyze Engagement","type":"main","index":0}]]}}},"lastUpdatedBy":1,"workflowInfo":{"nodeCount":20,"nodeTypes":{"n8n-nodes-base.if":{"count":2},"n8n-nodes-base.code":{"count":3},"n8n-nodes-base.gmail":{"count":1},"n8n-nodes-base.stickyNote":{"count":5},"n8n-nodes-base.httpRequest":{"count":1},"n8n-nodes-base.googleSheets":{"count":4},"n8n-nodes-base.splitInBatches":{"count":1},"@n8n/n8n-nodes-langchain.agent":{"count":1},"n8n-nodes-base.scheduleTrigger":{"count":1},"@n8n/n8n-nodes-langchain.lmChatOpenAi":{"count":1}}},"status":"published","readyToDemo":null,"user":{"name":"Yaron Been","username":"yaron-nofluff","bio":"Building AI Agents and Automations | Growth Marketer | Entrepreneur | Book Author & Podcast Host\n\nIf you need any help with Automations, feel free to reach out via linkedin:\nhttps://www.linkedin.com/in/yaronbeen/\n\nAnd check out my Youtube channel:\nhttps://www.youtube.com/@YaronBeen/videos","verified":true,"links":["https://www.nofluff.online/automation-services/"],"avatar":"https://gravatar.com/avatar/a4e4dcaa1f76ff5266bbf80e8df86d22efda890474c68f7796e72fd82e3f2375?r=pg&d=retro&size=200"},"nodes":[{"id":18,"icon":"file:googleSheets.svg","name":"n8n-nodes-base.googleSheets","codex":{"data":{"alias":["CSV","Sheet","Spreadsheet","GS"],"resources":{"generic":[{"url":"https://n8n.io/blog/love-at-first-sight-ricardos-n8n-journey/","icon":"❤️","label":"Love at first sight: Ricardo’s n8n journey"},{"url":"https://n8n.io/blog/why-business-process-automation-with-n8n-can-change-your-daily-life/","icon":"🧬","label":"Why business process automation with n8n can change your daily life"},{"url":"https://n8n.io/blog/automatically-adding-expense-receipts-to-google-sheets-with-telegram-mindee-twilio-and-n8n/","icon":"🧾","label":"Automatically Adding Expense Receipts to Google Sheets with Telegram, Mindee, Twilio, and n8n"},{"url":"https://n8n.io/blog/supercharging-your-conference-registration-process-with-n8n/","icon":"🎫","label":"Supercharging your conference registration process with n8n"},{"url":"https://n8n.io/blog/creating-triggers-for-n8n-workflows-using-polling/","icon":"⏲","label":"Creating triggers for n8n workflows using polling"},{"url":"https://n8n.io/blog/no-code-ecommerce-workflow-automations/","icon":"store","label":"6 e-commerce workflows to power up your Shopify s"},{"url":"https://n8n.io/blog/migrating-community-metrics-to-orbit-using-n8n/","icon":"📈","label":"Migrating Community Metrics to Orbit using n8n"},{"url":"https://n8n.io/blog/automate-google-apps-for-productivity/","icon":"💡","label":"15 Google apps you can combine and automate to increase productivity"},{"url":"https://n8n.io/blog/your-business-doesnt-need-you-to-operate/","icon":" 🖥️","label":"Hey founders! 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