Connect Freightview to PostgreSQL
Send Freightview shipments, quotes and trackings to PostgreSQL on a schedule. Refresh as often as every 15 minutes.
PostgreSQL
schema freightview
shipmentsquotestrackings
How to connect Freightview and PostgreSQL
4 steps. You can preview the Freightview data in Coupler.io before anything reaches PostgreSQL.
Step 1 of 4
Connect Freightview
Enter your Freightview client ID and client secret. You only do this once per account.
Step 2 of 4
Choose what to export
Pick the Freightview data you want in PostgreSQL.
Step 3 of 4
Connect PostgreSQL
Enter your PostgreSQL connection details, then the schema and table for the Freightview 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 shipments and loads fresh Freightview 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 Freightview integrations with these destinations
Get the most of Freightview to PostgreSQL integration
Gather data
Understand data
Automate data
Act on data
3 data types, including Shipments, Quotes and Trackings.
With your Freightview client ID and client secret, entered once when you add the connection.
Yes, if the database user has CREATE privileges. Coupler.io creates the freightview schema and the shipments table on the first run.
Yes. Append adds new rows to shipments on each run, while Replace swaps in a fresh copy. With Append, add new Freightview 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 100ms or Amazon Seller Central, and join or append them before the data reaches PostgreSQL.
