Connect My Hours to PostgreSQL
Send My Hours projects, users, time logs and 2 more data types to PostgreSQL on a schedule. Filter by date. Refresh as often as every 15 minutes.
PostgreSQL
schema my_hours
projectsuserstime_logstagsclients
How to connect My Hours and PostgreSQL
4 steps. You can preview the My Hours data in Coupler.io before anything reaches PostgreSQL.
Step 1 of 4
Connect My Hours
Enter your My Hours API key. You only do this once per account.
Step 2 of 4
Choose what to export
Pick the My Hours data you want in PostgreSQL.
Step 3 of 4
Connect PostgreSQL
Enter your PostgreSQL connection details, then the schema and table for the My Hours data.
Show 3 more fields Show fewer fields
Step 4 of 4
Choose a write mode and schedule
Every run either replaces or appends the data in PostgreSQL. Run it as often as every 15 minutes.
Each run deletes the existing rows in projects and loads fresh My Hours data.
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Build your My Hours integrations with these destinations
Get the most of My Hours to PostgreSQL integration
Gather data
Understand data
Automate data
Act on data
5 data types, including Projects, Users, Time logs, Tags and Clients.
With your My Hours API key, entered once when you add the connection.
Yes. Set the start date to cover the period you need.
Yes, if the database user has CREATE privileges. Coupler.io creates the my_hours schema and the projects table on the first run.
Yes. Append adds new rows to projects on each run, while Replace swaps in a fresh copy. With Append, add new My Hours columns to the table yourself before the next run.
On a schedule you choose, from monthly down to every 15 minutes, depending on your Coupler.io plan.
Yes. Add more sources to the same data flow, for example Clockify or Harvest, and join or append them before the data reaches PostgreSQL.
