Connect Aircall to PostgreSQL
Send Aircall contacts, companies, users and 6 more data types to PostgreSQL on a schedule. Filter by date. Refresh as often as every 15 minutes.
aircall
contactscompaniesuserscallsnumbers- 4 more data types
How to connect Aircall and PostgreSQL
4 steps. You can preview the Aircall data in Coupler.io before anything reaches PostgreSQL.
Step 1 of 4
Connect Aircall
Enter your Aircall API ID and API token. You only do this once per account.
Step 2 of 4
Choose what to export
Pick the Aircall data you want in PostgreSQL.
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Step 3 of 4
Connect PostgreSQL
Enter your PostgreSQL connection details, then the schema and table for the Aircall data.
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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 contacts and loads fresh Aircall data.
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9 data types, including Contacts, Companies, Users, Calls and Numbers.
With your Aircall API ID and API token, entered once when you add the connection.
Yes. Set the start date and end date to cover the period you need.
Yes, if the database user has CREATE privileges. Coupler.io creates the aircall schema and the contacts table on the first run.
Yes. Append adds new rows to contacts on each run, while Replace swaps in a fresh copy. With Append, add new Aircall 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 Pipedrive or Calendly, and join or append them before the data reaches PostgreSQL.