Connect BambooHR to PostgreSQL
Send BambooHR custom reports streams, employees directory streams, meta fields streams and 2 more data types to PostgreSQL on a schedule. Filter by date. Refresh as often as every 15 minutes.
PostgreSQL
schema bamboo_hr
custom_reports_streamsemployees_directory_streamsmeta_fields_streamstime_off_requests_streamstimesheet_entries
How to connect BambooHR and PostgreSQL
5 steps. You can preview the BambooHR data in Coupler.io before anything reaches PostgreSQL.
Step 1 of 5
Connect BambooHR
Enter your BambooHR API key and subdomain. You only do this once per account.
Step 2 of 5
Choose what to export
Pick the BambooHR data you want in PostgreSQL.
Step 3 of 5
Fine-tune the export
Optional settings for this BambooHR export.
Step 4 of 5
Connect PostgreSQL
Enter your PostgreSQL connection details, then the schema and table for the BambooHR data.
Show 3 more fields Show fewer fields
Step 5 of 5
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 custom_reports_streams and loads fresh BambooHR data.
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Build your BambooHR integrations with these destinations
Get the most of BambooHR to PostgreSQL integration
Gather data
Understand data
Automate data
Act on data
5 data types, including Custom reports streams, Employees directory streams, Meta fields streams, Time off requests streams and Timesheet entries.
With your BambooHR API key and subdomain, 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 bamboo_hr schema and the custom_reports_streams table on the first run.
Yes. Append adds new rows to custom_reports_streams on each run, while Replace swaps in a fresh copy. With Append, add new BambooHR 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 ClickUp or Airtable, and join or append them before the data reaches PostgreSQL.
