Connect GetGist to PostgreSQL
Send GetGist contacts, campaigns, collections and 9 more data types to PostgreSQL on a schedule. Refresh as often as every 15 minutes.
getgist
contactscampaignscollectionsarticlesevents- 7 more data types
How to connect GetGist and PostgreSQL
4 steps. You can preview the GetGist data in Coupler.io before anything reaches PostgreSQL.
Step 1 of 4
Connect GetGist
Enter your GetGist API key. You only do this once per account.
Step 2 of 4
Choose what to export
Pick the GetGist data you want in PostgreSQL.
Show 4 more data types Show fewer data types
Step 3 of 4
Connect PostgreSQL
Enter your PostgreSQL connection details, then the schema and table for the GetGist 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 contacts and loads fresh GetGist data.
Coupler.io made it easy to create dashboards and reports from different data sources. The sync is reliable and the user experience is amazing.
Take your data analytics to the next level
Sign Up with Google
Sign Up with MICROSOFT
SIGN UP WITH EMAIL
By signing up to Coupler.io, you agree to our Privacy Policy and Terms of Use.
Build your GetGist integrations with these destinations
Get the most of GetGist to PostgreSQL integration
Gather data
Understand data
Automate data
Act on data
12 data types, including Contacts, Campaigns, Collections, Articles and Events.
With your GetGist API key, entered once when you add the connection.
Yes, if the database user has CREATE privileges. Coupler.io creates the getgist 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 GetGist 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 Pipedrive, and join or append them before the data reaches PostgreSQL.