# Generate mock humidity sensor data and store in PostgreSQL every minute
This automation workflow regularly populates a PostgreSQL database with synthetic humidity readings. Designed for testing, demonstrations, and ETL validation, it runs on a schedule without manual input.
## Who it´s for
- Developers testing PostgreSQL integrations
- Data engineers building demo environments
- Analysts needing synthetic data for reports
- Teams developing real-time dashboards
## What the automation does
- Triggers every minute via cron schedule
- Generates mock sensor data: sensor ID, humidity value, timestamp
- Inserts data into a specified PostgreSQL table
- Enables continuous population of test datasets
- Supports scalable time-series data storage
## What´s included
- Ready-to-use n8n workflow
- Scheduled trigger logic
- PostgreSQL integration
- JavaScript-based data generation
- Basic text instructions for setup and adaptation
## Requirements for setup
- Access to an n8n instance
- PostgreSQL account with write permissions to a target table
- Configured PostgreSQL connection in n8n
## Benefits and outcomes
- Automatic generation of realistic test data
- Saves time on manual entry or dump preparation
- Enables live dashboard demonstrations with dynamic data
- Supports ETL pipeline testing and analytics workflows
- Flexible configuration of value ranges and generation frequency
- Compatible with existing PostgreSQL schemas
## Important: template only
Important: you are purchasing a ready-made automation workflow template only. Rollout into your infrastructure, connecting specific accounts and services, 1:1 setup help, custom adjustments for non-standard stacks and any consulting support are provided as a separate paid service at an individual rate. To discuss custom work or 1:1 help, contact via chat
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