Automate Airtable Backups to AWS S3
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Effortlessly safeguard your valuable Airtable data by automating full backups to AWS S3. This workflow ensures your data is regularly archived in a secure, offsite location, providing peace of mind and robust disaster recovery capabilities.
About This Workflow
This n8n workflow provides a comprehensive solution for automating the backup of your entire Airtable base to AWS S3. It intelligently fetches your Airtable schema, iterates through each table, and exports its records as CSV files. These files are then automatically organized into date-stamped folders within your designated S3 bucket. Furthermore, a scheduled pruning mechanism ensures that older backups are automatically removed, optimizing your storage costs. This workflow is designed for users who need a reliable and hands-off approach to data protection for their Airtable instances.
Key Features
- Automated Airtable Backup: Schedule regular, full backups of your Airtable bases without manual intervention.
- Secure AWS S3 Storage: Archive your data in a highly durable and scalable cloud storage solution.
- Organized File Structure: Backups are automatically placed in date-stamped folders for easy retrieval.
- Intelligent Data Processing: Fetches table schemas and individual table records for complete data capture.
- Automated Pruning: Configurable monthly pruning to manage storage space and costs by removing older backups.
How To Use
- Configure Airtable Credentials: In the first Airtable node, set up your Airtable API key and select your target base.
- Set AWS S3 Credentials: In the AWS S3 nodes, configure your AWS access key, secret access key, and region.
- Define S3 Bucket and Folder Structure: Specify your S3 bucket name ('aired-out' in this example) and the desired parent folder structure (using
currentWeek). - Schedule the Workflow: Configure the
Monthly Pruneschedule trigger to define how often backups should run (e.g., daily, weekly, or monthly). - Review and Test: Execute the workflow manually to ensure all nodes are connected correctly and data is being backed up as expected.
- Customize File Naming and Pruning Logic: Adjust the
Create Table MetadataandSet Timestampsnodes to customize file names and theIfnode to fine-tune your backup retention and pruning strategy.
Apps Used
Workflow JSON
{
"id": "22f5e311-716e-4a07-859f-8126cb3e4953",
"name": "Automate Airtable Backups to AWS S3",
"nodes": 15,
"category": "DevOps",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 22f5e311-716e...
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