Data Exporter
The BundleM8 Data Exporter connects your ServiceM8 data to Google Cloud so it can be used in BigQuery, dashboards, advanced reporting, and external business systems.
Instead of manually downloading files, forwarding CSVs, or trying to piece together reports from limited ServiceM8 exports, this add-on gives you a structured data pipeline from ServiceM8 into Google Cloud.
It is designed for businesses that want to take ownership of their data, build proper reporting systems, and create a reliable foundation for long-term analysis.
What it does
The Data Exporter extracts key raw data from ServiceM8 and uploads it to your connected Google Cloud environment, making it ready for use in tools such as Google BigQuery.
The exported data includes UUID fields to help keep records consistent, traceable, and easier to match across jobs, clients, staff, materials, invoices, and other related data.
Key features
- Connects ServiceM8 data to Google Cloud
- BigQuery-ready data structure
- Exports key ServiceM8 raw data
- Includes UUID fields for reliable record matching
- Designed for ongoing automated data exports
- Supports advanced reporting, dashboards, and analytics
- Helps maintain a clean external dataset outside ServiceM8
- Reduces reliance on manual exports and spreadsheet workarounds
Common use cases
- Build custom dashboards and KPIs
- Run advanced reports in Google BigQuery
- Analyse job profitability, conversion rates, and trends
- Track operational performance across jobs, staff, clients, and materials
- Create a clean master dataset outside ServiceM8
- Connect ServiceM8 data with other business systems
- Prepare data for business intelligence tools and long-term reporting
Why use Data Exporter
ServiceM8 is excellent for running jobs, managing field staff, and keeping day-to-day work moving.
But it is not built for deep data analysis, custom dashboards, or large-scale reporting.
The BundleM8 Data Exporter gives your business a proper data foundation. It helps you move your ServiceM8 data into Google Cloud so you can clean it, report on it, analyse it, and use it across the rest of your business.
For businesses that care about reporting accuracy, scalability, and real visibility over performance, this is the bridge between ServiceM8 and serious data analysis.
Requirements
- Active ServiceM8 account
- Google Cloud account
- BigQuery setup may be required depending on your reporting needs
Support
Backed by BundleM8. Built by people who actually run ServiceM8-based businesses.
