Calendly

Analyze scheduled meetings, booking patterns, and event types

Connect Calendly to Scoop to analyze your scheduling data, track booking patterns, understand cancellation trends, and optimize your meeting types.

AI-Assisted Setup

When connecting Calendly to Scoop, choose "Guide me with AI" for an intelligent, guided setup experience.

Available Analysis Templates

Template	Object	Data Mode	Best For	What You'll Analyze
Booking Analytics (Default)	scheduled_events	Snapshot	Meeting trends	Booking volume, cancellations, location types
Event Types	event_types	Sync	Configuration	Active event types, durations

Example Questions You Can Answer

Booking Patterns:

"How many meetings were booked this week vs last week?"
"What's our cancellation rate?"
"Which days have the most bookings?"
"What times are most popular for meetings?"
"How has booking volume trended over the past month?"

Meeting Types:

"What percentage of meetings are Zoom vs in-person?"
"What's the average meeting duration?"
"Which event types get the most bookings?"
"How many active event types do we have?"

Scheduling Efficiency:

"What's the lead time between booking and meeting?"
"How many invitees are in each meeting on average?"
"What's the distribution of meeting durations?"

Need Something Different?

If the templates above don't match your needs, select "Something else" and describe what you want to analyze. For example:

"I want to see booking trends by day of week"
"I need to track which event types are most popular"
"I want to analyze cancellation patterns"

Scoop's AI will recommend the right configuration for your specific use case.

Snapshotting for Booking Analysis

Meeting bookings change over time - they get canceled, rescheduled, or updated. Configure your Scheduled Events extract as a Snapshot dataset to:

Track booking volume over time
Monitor cancellation trends
Analyze how far in advance people book
Compare booking patterns week-over-week

Pro Tip: Enable snapshotting for scheduled events to understand your booking lifecycle and identify cancellation patterns.

Connecting Calendly to Scoop

Create a new dataset in Scoop
Select Calendly from the application list
Click Connect to start the OAuth flow
Authorize Scoop to access your Calendly data
Choose your analysis template or customize
Save and extract data

Required Permissions

Scoop requests read-only access to:

Scheduled events (meetings)
Event types (meeting configurations)

Security Note: Scoop only reads your scheduling data. We never modify, cancel, or create bookings.

What Data You Get

Scheduled Events

Booked meetings and appointments with timing and status.

Field	Description
Event ID	Unique identifier (prefixed with CA)
Event Name	Name of the meeting type
Status	active or canceled
Start Time	Scheduled start time
End Time	Scheduled end time
Created Date	When the booking was made
Location Type	physical, zoom, google_conference, etc.
Invitee Count	Number of participants

Event Types

Meeting configurations available for booking.

Field	Description
Event Type ID	Unique identifier (prefixed with CA)
Event Type Name	Name of the meeting type
Active	Whether available for booking
Duration	Length in minutes
Scheduling URL	Public booking link
Type	StandardEventType, etc.
Created Date	When the event type was created

Analysis Examples

Booking Volume Trends

Track your meeting activity:

Daily/weekly/monthly booking counts
Peak booking days and times
Year-over-year comparisons

Cancellation Analysis

Understand booking health:

Cancellation rate over time
Which event types have highest cancellation
Lead time for cancellations

Meeting Type Distribution

Analyze your scheduling mix:

Virtual vs in-person meetings
Duration distribution
Event type popularity

Best Practices

Start with Scheduled Events: This is your primary transactional data
Enable Snapshotting: Track how bookings change over time
Monitor Cancellations: High cancellation rates may indicate scheduling friction
Analyze Peak Times: Optimize availability based on when people book

Troubleshooting

Connection Issues

Ensure you have admin access to the Calendly organization
Re-authorize if your OAuth token has expired
Check that the required scopes are granted

Missing Data

Only events you have access to are included
Historical events may be limited by your Calendly plan
Some fields require specific Calendly plan tiers

Rate Limits

If you see rate limit errors:

Scoop automatically retries with backoff
Large calendars may take longer to sync
Contact support if persistent issues occur