Connect Calendly to Snowflake
Send Calendly available time for user, busy time for user, event types for organization and 10 more data types to Snowflake on a schedule. Filter by date and add your own filters. Refresh as often as every 15 minutes.
Snowflake
schema calendly
available_time_for_userbusy_time_for_userevent_types_for_organizationevent_types_for_userlist_of_users_for_organization- 8 more data types
How to connect Calendly and Snowflake
7 steps. You can preview the Calendly data in Coupler.io before anything reaches Snowflake.
Step 1 of 7
Connect Calendly
Sign in to Calendly and authorize Coupler.io. There's no API key to copy.
Sign in with Calendly
Step 2 of 7
Choose what to export
Pick the Calendly data you want in Snowflake.
Show 5 more data types Show fewer data types
Step 3 of 7
Choose what to export
Pick the Calendly data you want in Snowflake.
Step 4 of 7
Fine-tune the export
Optional settings for this Calendly export.
Step 5 of 7
Narrow it down
Filter Calendly records before they reach Snowflake.
Step 6 of 7
Connect Snowflake
Sign in to Snowflake with OAuth, then enter the database, schema, and table for the Calendly data.
Step 7 of 7
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 available_time_for_user and loads fresh Calendly data.
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13 data types, including Available time for user, Busy time for user, Event types for organization, Event types for user and Users for organization.
You sign in to Calendly 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. Add filter conditions in the source settings to keep only the Calendly records 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 available_time_for_user on each run, while Replace swaps in a fresh copy. With Append, add new Calendly 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 Pipedrive or Google Calendar, and join or append them before the data reaches Snowflake.
