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
Updated 4 days ago