Connect Ebay Finance to PostgreSQL
Send Ebay Finance transactions and payouts to PostgreSQL on a schedule. Filter by date. Refresh as often as every 15 minutes.
ebay_finance
transactionspayouts
How to connect Ebay Finance and PostgreSQL
4 steps. You can preview the Ebay Finance data in Coupler.io before anything reaches PostgreSQL.
Step 1 of 4
Connect Ebay Finance
Sign in to Ebay Finance and authorize Coupler.io. There's no API key to copy.
Step 2 of 4
Choose what to export
Pick the Ebay Finance data you want in PostgreSQL.
Step 3 of 4
Connect PostgreSQL
Enter your PostgreSQL connection details, then the schema and table for the Ebay Finance 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 transactions and loads fresh Ebay Finance 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 Ebay Finance integrations with these destinations
Get the most of Ebay Finance to PostgreSQL integration
Gather data
Understand data
Automate data
Act on data
2 data types, including Transactions and Payouts.
You sign in to Ebay Finance and authorize Coupler.io. There's no API key to copy.
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 ebay_finance schema and the transactions table on the first run.
Yes. Append adds new rows to transactions on each run, while Replace swaps in a fresh copy. With Append, add new Ebay Finance 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 Shopify or GoHighLevel, and join or append them before the data reaches PostgreSQL.