Connect Calendly to Redshift
Send Calendly available time for user, busy time for user, event types for organization and 10 more data types to Redshift on a schedule. Filter by date and add your own filters. Refresh as often as every 15 minutes.
Redshift
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 Redshift
7 steps. You can preview the Calendly data in Coupler.io before anything reaches Redshift.
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 Redshift.
Show 5 more data types Show fewer data types
Step 3 of 7
Choose what to export
Pick the Calendly data you want in Redshift.
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 Redshift.
Step 6 of 7
Connect Redshift
Enter your Redshift connection details, then the schema and table for the Calendly data.
Show 3 more fields Show fewer fields
Step 7 of 7
Choose a write mode and schedule
Every run either replaces or appends the data in Redshift. Run it as often as every 15 minutes.
Each run drops and recreates available_time_for_user with 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, if the database user has CREATE privileges. Coupler.io creates the calendly schema and the available_time_for_user table on the first run.
With Replace, Coupler.io recreates available_time_for_user, so new Calendly columns appear automatically. With Append, the table keeps its schema, so add the column yourself or switch to Replace.
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 Redshift.
