Connect Help Scout to Snowflake
Send Help Scout customers, users, conversations and 8 more data types to Snowflake on a schedule. Filter by date. Refresh as often as every 15 minutes.
Snowflake
schema help_scout
customersusersconversationsconversation_threadsinboxes- 6 more data types
How to connect Help Scout and Snowflake
4 steps. You can preview the Help Scout data in Coupler.io before anything reaches Snowflake.
Step 1 of 4
Connect Help Scout
Sign in to Help Scout and authorize Coupler.io. There's no API key to copy.
Sign in with Help Scout
Step 2 of 4
Choose what to export
Pick the Help Scout data you want in Snowflake.
Show 3 more data types Show fewer data types
Step 3 of 4
Connect Snowflake
Sign in to Snowflake with OAuth, then enter the database, schema, and table for the Help Scout data.
Step 4 of 4
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 customers and loads fresh Help Scout data.
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Build your Help Scout integrations with these destinations
Get the most of Help Scout to Snowflake integration
Gather data
Understand data
Automate data
Act on data
11 data types, including Customers, Users, Conversations, Conversation threads and Inboxes.
You sign in to Help Scout and authorize Coupler.io. There's no API key to copy.
Yes. Set the start date to cover the period you need.
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 customers on each run, while Replace swaps in a fresh copy. With Append, add new Help Scout 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 GoHighLevel or Pipedrive, and join or append them before the data reaches Snowflake.
