Connect Oracle NetSuite to Google Sheets
Send Oracle NetSuite contacts, invoices, tasks and 101 more data types to Google Sheets on a schedule. Filter by date. Refresh as often as every 15 minutes.
Oracle NetSuite reporting
How to connect Oracle NetSuite and Google Sheets
6 steps. You can preview the Oracle NetSuite data in Coupler.io before anything reaches Google Sheets.
Step 1 of 6
Connect Oracle NetSuite
Enter your Oracle NetSuite realm (account id), consumer key, consumer secret, token key (token id) and token secret. You only do this once per account.
Step 2 of 6
Choose a data type
Pick the kind of Oracle NetSuite data to export.
Show 32 more data types Show fewer data types
And 64 more data types.
Step 3 of 6
Choose what to export
Pick the Oracle NetSuite data you want in Google Sheets.
Show 32 more data types Show fewer data types
And 64 more data types.
Step 4 of 6
Fine-tune the export
Optional settings for this Oracle NetSuite export.
Step 5 of 6
Connect Google Sheets
Sign in with your Google account, then pick the spreadsheet and sheet for the Oracle NetSuite data.
Step 6 of 6
Choose a write mode and schedule
Every run either replaces or appends the data in Google Sheets. Run it as often as every 15 minutes.
Each run clears the previously imported area and writes fresh Oracle NetSuite data.
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104 data types, including Contact, Invoice, Task, Account and Objects.
With your Oracle NetSuite realm (account id), consumer key, consumer secret, token key (token id) and token secret, entered once when you add the connection.
Yes. Set the start date to cover the period you need.
Only the target area of the Contact tab is rewritten. Keep formulas, pivot tables and charts in other tabs, or outside the target range, and they stay intact.
Google Sheets allows up to 10 million cells per spreadsheet across all tabs, so the row limit depends on how many columns you export.
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 Google Sheets.
