Connect Lob to PostgreSQL
Send Lob campaigns, addresses, banks and 5 more data types to PostgreSQL on a schedule. Filter by date. Refresh as often as every 15 minutes.
PostgreSQL
schema lob
campaignsaddressesbankspostcardstemplates- 3 more data types
How to connect Lob and PostgreSQL
5 steps. You can preview the Lob data in Coupler.io before anything reaches PostgreSQL.
Step 1 of 5
Connect Lob
Enter your Lob API key. You only do this once per account.
Step 2 of 5
Choose what to export
Pick the Lob data you want in PostgreSQL.
Step 3 of 5
Fine-tune the export
Optional settings for this Lob export.
Step 4 of 5
Connect PostgreSQL
Enter your PostgreSQL connection details, then the schema and table for the Lob 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 campaigns and loads fresh Lob 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 Lob integrations with these destinations
Get the most of Lob to PostgreSQL integration
Gather data
Understand data
Automate data
Act on data
8 data types, including Campaigns, Addresses, Banks, Postcards and Templates.
With your Lob 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 lob schema and the campaigns table on the first run.
Yes. Append adds new rows to campaigns on each run, while Replace swaps in a fresh copy. With Append, add new Lob 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.
