Connect Harvest to Snowflake
Send Harvest invoices, tasks, companies and 19 more data types to Snowflake on a schedule. Filter by date and narrow it down by project status. Refresh as often as every 15 minutes.
Snowflake
schema harvest
invoicestaskscompanyprojectsusers- 17 more data types
How to connect Harvest and Snowflake
6 steps. You can preview the Harvest data in Coupler.io before anything reaches Snowflake.
Step 1 of 6
Connect Harvest
Sign in to Harvest and authorize Coupler.io. There's no API key to copy.
Sign in with Harvest
Step 2 of 6
Choose what to export
Pick the Harvest data you want in Snowflake.
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 Snowflake.
Step 5 of 6
Connect Snowflake
Sign in to Snowflake with OAuth, then enter the database, schema, and table for the Harvest data.
Step 6 of 6
Choose a write mode and schedule
Every run either replaces or appends the data in Snowflake. 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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Build your Harvest integrations with these destinations
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Gather 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. With the required privileges, Coupler.io creates missing schemas and tables in your database on the first successful run.
Yes. Append adds new rows to invoices on each run, while Replace swaps in a fresh copy. With Append, add new Harvest 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 Clockify or Jira, and join or append them before the data reaches Snowflake.
