Connect Intercom to PostgreSQL
Send Intercom contacts, tickets, companies and 13 more report types to PostgreSQL on a schedule. Filter by date and add your own filters. Refresh as often as every 15 minutes.
PostgreSQL
schema intercom
list_of_contactslist_of_ticketslist_of_companieslist_of_adminslist_of_articles- 11 more report types
How to connect Intercom and PostgreSQL
6 steps. You can preview the Intercom data in Coupler.io before anything reaches PostgreSQL.
Step 1 of 6
Connect Intercom
Sign in to Intercom and authorize Coupler.io. There's no API key to copy.
Sign in with Intercom
Step 2 of 6
Choose what to export
Pick the Intercom data you want in PostgreSQL.
Show 8 more report types Show fewer report types
Step 3 of 6
Set the report period
Choose the date range the report covers.
Step 4 of 6
Fine-tune the export
Optional settings for this Intercom export.
Step 5 of 6
Connect PostgreSQL
Enter your PostgreSQL connection details, then the schema and table for the Intercom data.
Show 3 more fields Show fewer fields
Step 6 of 6
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 list_of_contacts and loads fresh Intercom data.
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16 report types, including Contacts, Tickets, Companies, Admins and Articles.
You sign in to Intercom and authorize Coupler.io. There's no API key to copy.
Yes. Filter by created date or updated date to load the period you need.
Yes. Add filter conditions in the source settings to keep only the Intercom records you need.
Yes, if the database user has CREATE privileges. Coupler.io creates the intercom schema and the list_of_contacts table on the first run.
Yes. Append adds new rows to list_of_contacts on each run, while Replace swaps in a fresh copy. With Append, add new Intercom 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 GoHighLevel or Google Ads, and join or append them before the data reaches PostgreSQL.
