{"workflow":{"id":12655,"name":"Compress and archive old Google Drive PDFs to AWS S3 cold storage with Slack reports","views":14,"recentViews":0,"totalViews":14,"createdAt":"2026-01-12T10:48:46.401Z","description":"# Consolidate and compress project archives for cost-optimized cloud storage\n\n## 🎯 Description\nOptimize your cloud storage costs by using this automation to intelligently compress and migrate aging project documentation. This workflow allows you to achieve a professional data lifecycle policy by identifying \"stale\" files in active storage, applying high-ratio PDF compression, and migrating them to cold storage while maintaining a searchable audit trail.\n\nA critical technical feature of this template is the **Luxon-based lifecycle logic**. By utilizing `{{ $now.minus({ months: 6 }).toISODate() }}`, the workflow dynamically filters for files that haven't been modified in over half a year. It then generates a unique archive path using `{{ $now.toFormat('yyyy/MM_MMM') }}`, ensuring your cold storage bucket remains perfectly indexed by year and month without any manual folder creation or renaming.\n\n### ✨ How to achieve automated storage optimization\nYou can achieve an enterprise-grade archiving system by using the available tools to:\n\n1. **Monitor and age-gate** — Use the **Google Drive** node to list project files and a **Code node** to compare file metadata against a 6-month \"hot storage\" threshold.\n2. **Compress and verify** — Pass identified files through the **HTML to PDF** compression engine to reduce file size by up to 80% while maintaining document readability.\n3. **Migrate to cold storage** — Stream the compressed binary directly to **AWS S3** (or a dedicated archive folder), using dynamic naming conventions for organized retrieval.\n4. **Log and notify** — Automatically alert the IT team via **Slack** upon batch completion, providing a report on the specific files migrated and the storage path used.\n\n### 💡 Key features\n* **Intelligent cost reduction** — Automatically targets large, old files for compression, significantly reducing long-term \"Cold Storage\" billing.\n* **Dynamic indexing** — Uses **Luxon** to build a chronological folder structure in the cloud, making multi-year archives easy to navigate.\n* **Integrity assurance** — The workflow ensures files meet specific age and type criteria before moving them, preventing accidental archival of active documents.\n\n### 📦 What you will need\n1. **Google Drive** — Your \"Hot\" storage where active project files are kept.\n2. **HTML to PDF Node** — Used here for the PDF compression and optimization engine.\n3. **AWS S3** — Your destination \"Cold\" storage for long-term archiving.\n4. **Slack** — For automated reporting on storage optimization status.\n\n---\n\n**Ready to optimize your cloud storage?** Import this template, connect your credentials, and start saving on long-term data costs today.","workflow":{"meta":{"instanceId":"277842713620d9f5554de3b1518b865a152c8c4db680008bd8aec536fc18b4a8","templateCredsSetupCompleted":true},"nodes":[{"id":"3fce381a-7ffe-4d58-868b-b1b6e48372eb","name":"Trigger: Weekly Archive Scan","type":"n8n-nodes-base.scheduleTrigger","position":[0,560],"parameters":{"rule":{"interval":[{"field":"weeks"}]}},"typeVersion":1.1},{"id":"16890e81-bd46-4148-b986-a8cb62c6fa42","name":"List Active Project Files","type":"n8n-nodes-base.googleDrive","position":[224,560],"parameters":{"resource":"folder","operation":"list"},"credentials":{"googleDriveOAuth2Api":{"id":"znjhGsCbPhwU2QLi","name":"jitesh0dugar"}},"typeVersion":3},{"id":"fc4eb058-7684-4268-b8b9-4e9707d79e8d","name":"Calculate File Age (Luxon Logic)","type":"n8n-nodes-base.code","position":[448,560],"parameters":{"jsCode":"const item = $input.first().json;\nconst modifiedDate = new Date(item.modifiedTime);\nconst sixMonthsAgo = new Date();\nsixMonthsAgo.setMonth(sixMonthsAgo.getMonth() - 6);\n\nitem.isReadyForArchive = (modifiedDate < sixMonthsAgo);\nitem.archivePath = `archives/${new Date().getFullYear()}/${new Date().getMonth() + 1}`;\nreturn { json: item };"},"typeVersion":2},{"id":"863eaa18-44ea-471e-a4cd-42301ab8943a","name":"IF: Meets Archive Criteria?","type":"n8n-nodes-base.if","position":[672,560],"parameters":{"conditions":{"boolean":[{"value1":"={{ $json.isReadyForArchive }}"}]}},"typeVersion":1},{"id":"f50e4604-ce15-40f6-930d-2cba5c56c6e0","name":"Download Hot Storage Binary","type":"n8n-nodes-base.googleDrive","position":[880,464],"parameters":{"fileId":"={{ $json.id }}","options":{},"operation":"download"},"credentials":{"googleDriveOAuth2Api":{"id":"znjhGsCbPhwU2QLi","name":"jitesh0dugar"}},"typeVersion":3},{"id":"888e6598-8df6-48d0-abbe-26de56fdac07","name":"Compress PDF for Archival","type":"n8n-nodes-htmlcsstopdf.htmlcsstopdf","position":[1104,464],"parameters":{"resource":"pdfManipulation","operation":"compress"},"credentials":{"htmlcsstopdfApi":{"id":"BXuO70HgqWdZEGqI","name":"pdf munk - deepanshi"}},"typeVersion":1},{"id":"644f0e02-f743-4fe5-ae5d-407558215bdc","name":"Upload to Cold Storage (S3)","type":"n8n-nodes-base.s3","position":[1328,464],"parameters":{"fileKey":"2","bucketName":"project-archives-cold"},"credentials":{"s3":{"id":"G426OtEpWaqQED4Q","name":"deepanshi"}},"typeVersion":1},{"id":"388067a0-49e2-48e1-b052-232a53344837","name":"Log Savings to Slack","type":"n8n-nodes-base.slack","position":[1552,464],"webhookId":"5de014ac-f550-4fc7-b5a1-e8a3411d2dfe","parameters":{"text":"=📦 *Storage Optimization Report*\n\nProject file `{{ $node[\"List Active Project Files\"].json.name }}` was compressed and migrated to cold storage.\n\nPath: `{{ $node[\"Calculate File Age (Luxon Logic)\"].json.archivePath }}`","user":{"__rl":true,"mode":"list","value":""},"select":"user","otherOptions":{},"authentication":"oAuth2"},"credentials":{"slackOAuth2Api":{"id":"RYkcspsGW073XNK0","name":"Mediajade Slack"}},"typeVersion":2.1},{"id":"9d01e42f-e0fe-4c30-958a-6992dfe34b91","name":"Main Documentation","type":"n8n-nodes-base.stickyNote","position":[0,0],"parameters":{"width":500,"height":450,"content":"## How it works\nThis workflow manages document lifecycles. It triggers weekly to scan Google Drive for files modified over 6 months ago. A Code node calculates the \"Age Gate\" and generates a dynamic archive path using Luxon. Aging files are downloaded, compressed via the HTML to PDF node to save space, and uploaded to AWS S3. A Slack report confirms the migration to the IT team.\n\n## Setup steps\n1. **Google Drive**: Connect your account and select your \"Hot Storage\" folder.\n2. **Logic**: Adjust the month threshold in the Code node (default: 6 months).\n3. **Compression**: Ensure your HTML to PDF API credentials are active.\n4. **AWS S3**: Enter your bucket name and access credentials for your \"Cold Storage\".\n5. **Slack**: Authenticate to enable weekly storage optimization reports."},"typeVersion":1},{"id":"9b5c1376-fb33-4299-aaf6-9ac895ab2997","name":"Processing Overview","type":"n8n-nodes-base.stickyNote","position":[848,336],"parameters":{"color":7,"width":800,"height":380,"content":"### 🛠️ Optimization & Migration Logic\nGrouped nodes for data compression, integrity verification, and S3 cloud migration."},"typeVersion":1}],"pinData":{},"connections":{"Compress PDF for Archival":{"main":[[{"node":"Upload to Cold Storage (S3)","type":"main","index":0}]]},"List Active Project Files":{"main":[[{"node":"Calculate File Age (Luxon Logic)","type":"main","index":0}]]},"Download Hot Storage Binary":{"main":[[{"node":"Compress PDF for Archival","type":"main","index":0}]]},"IF: Meets Archive Criteria?":{"main":[[{"node":"Download Hot Storage Binary","type":"main","index":0}]]},"Upload to Cold Storage (S3)":{"main":[[{"node":"Log Savings to Slack","type":"main","index":0}]]},"Trigger: Weekly Archive Scan":{"main":[[{"node":"List Active Project Files","type":"main","index":0}]]},"Calculate File Age (Luxon Logic)":{"main":[[{"node":"IF: Meets Archive Criteria?","type":"main","index":0}]]}}},"lastUpdatedBy":1,"workflowInfo":{"nodeCount":10,"nodeTypes":{"n8n-nodes-base.if":{"count":1},"n8n-nodes-base.s3":{"count":1},"n8n-nodes-base.code":{"count":1},"n8n-nodes-base.slack":{"count":1},"n8n-nodes-base.stickyNote":{"count":2},"n8n-nodes-base.googleDrive":{"count":2},"n8n-nodes-base.scheduleTrigger":{"count":1},"n8n-nodes-htmlcsstopdf.htmlcsstopdf":{"count":1}}},"status":"published","readyToDemo":null,"user":{"name":"Jitesh Dugar","username":"jiteshdugar","bio":"AI Automation Specialist - OpenAI, CRM & Automation Expert with a solid understanding of various tools that include Zapier, Make, Zoho CRM, Hubspot, Google Sheets, Airtable, Pipedrive, Google Analytics, and more.","verified":true,"links":["https://www.linkedin.com/in/jiteshdugar"],"avatar":"https://gravatar.com/avatar/edaa3abb99806b0586dced559d0a5417f24a507e7c4464a63960f0638a4b1b90?r=pg&d=retro&size=200"},"nodes":[{"id":20,"icon":"fa:map-signs","name":"n8n-nodes-base.if","codex":{"data":{"alias":["Router","Filter","Condition","Logic","Boolean","Branch"],"details":"The IF node can be used to implement binary conditional logic in your workflow. You can set up one-to-many conditions to evaluate each item of data being inputted into the node. 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