Connect Harvest to Supabase
Send Harvest invoices, tasks, companies and 19 more data types to Supabase on a schedule. Filter by date and narrow it down by project status. Refresh as often as every 15 minutes.
harvest
invoicestaskscompanyprojectsusers- 17 more data types
How to connect Harvest and Supabase
6 steps. You can preview the Harvest data in Coupler.io before anything reaches Supabase.
Step 1 of 6
Connect Harvest
Sign in to Harvest and authorize Coupler.io. There's no API key to copy.
Step 2 of 6
Choose what to export
Pick the Harvest data you want in Supabase.
Show 14 more data types Show fewer data types
Step 3 of 6
Fine-tune the export
Optional settings for this Harvest export.
Show 14 more data types Show fewer data types
Show 1 more field Show fewer fields
Step 4 of 6
Narrow it down
Filter Harvest records before they reach Supabase.
Step 5 of 6
Connect Supabase
Enter the connection details from your Supabase project's Connect panel, then the schema and table for the Harvest data.
Show 3 more fields Show fewer fields
Step 6 of 6
Choose a write mode and schedule
Every run either replaces or appends the data in Supabase. Run it as often as every 15 minutes.
Each run deletes the existing rows in invoices and loads fresh Harvest data.
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22 data types, including Invoices, Tasks, Company, Projects and Users.
You sign in to Harvest and authorize Coupler.io. There's no API key to copy.
Yes. Filter by changed date to load the period you need.
Yes. Available filters include project status. You can also add your own filter conditions.
Yes. On the first successful run, Coupler.io creates the harvest schema and the invoices table if the database user has the privileges to do so, and detects column types from the Harvest data.
Its writes aren't governed by RLS policies, and the tables it creates have RLS turned off. Keep Harvest data in a schema your app doesn't expose through the Data API.
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 Clockify or Jira, and join or append them before the data reaches Supabase.