- Source
- Marketing Analytics
- Alpha
Move lu.ma data anywhere it matters.
Replicate lu.ma events and event-guests to the warehouse or AI app you use.
Source
lu.ma
Snowflake
BigQuery
Postgres
Databricks
Claude
- Streams
- 2
- Destinations
- 50+
- Standard support
- 0.0.75
Overview
What is the Airbyte lu.ma connector?
The Airbyte lu.ma connector extracts data from lu.ma and loads it into 50+ destinations such as Snowflake, BigQuery, Databricks or Postgres, with full refresh. It publishes 2 streams you can select per connection.
- 01
Sync to your warehouse
Land 2 lu.ma tables in 50+ destinations on a schedule you control.
- 02
One authorization
Authenticate lu.ma once and Airbyte keeps every scheduled sync running on it.
- 03
Cloud or self-hosted
Run the lu.ma connector on Cloud, OSS, Hybrid.
2 streams
Every table you can sync from lu.ma
events Primary key api_id Pagination DefaultPaginator Sync modes FullIncr. event-guests Primary key api_id Pagination DefaultPaginator Sync modes FullIncr.
Setup
Live in three steps
Get your lu.ma credentials from the vendor dashboard or developer settings.
Configure the source in Airbyte with the required connection fields.
Pick a destination, choose streams, set full refresh or incremental, and schedule syncs.
Configuration fields
| Field | Type | Description |
|---|---|---|
| api_key* | string | Get your API key on lu.ma Calendars dashboard → Settings. |
Hybrid deployment
Sovereign by architecture, not by policy.
The data plane runs in your environment. Records, credentials and keys stay with you; the control plane only receives configuration and job metadata.
- Cloud
- OSS
- Hybrid
Your environment
Airbyte control plane
Related connectors
FAQ
lu.ma connector questions
What data can I sync from lu.ma with Airbyte?
2 streams: events, event-guests.
Does the lu.ma connector support incremental sync?
The lu.ma connector supports full refresh sync. Check the stream list on this page for incremental support per table.
Where can I run the lu.ma connector?
Run the lu.ma connector on Cloud, OSS, Hybrid. Hybrid deployments keep the data plane in your environment while the control plane orchestrates syncs.
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