How do I sync Calendly data to Google BigQuery?

Sign up for Weld, connect Calendly as a source and Google BigQuery as a destination. Weld handles the extraction, loading, and lets you transform data using SQL or dbt.

What Calendly data can I sync to Google BigQuery?

You can sync the objects the Calendly connector exposes. The available objects depend on your Calendly account permissions and configuration.

How often does Weld sync data from Calendly?

Sync frequency depends on your Weld plan. Schedules range from every 5 minutes to daily intervals. Each sync processes only new and changed data.

Can I transform Calendly data before it lands in Google BigQuery?

Yes. Weld supports SQL-based transformations in the platform and integrates with dbt Cloud. You can clean, join, and model your data before analysis.

Is the Calendly to Google BigQuery integration secure?

Yes. Weld encrypts all data in transit and at rest, is SOC 2 Type II certified, and supports IP whitelisting. Credentials are stored encrypted and never logged.

Calendly to Google BigQuery integration

Connect Calendly to Google BigQuery and automatically sync your application data. Weld extracts data from Calendly, loads it into Google BigQuery, and lets you transform the data using SQL or dbt, no custom scripts required.

Start for free View setup guide

4.8 on G2

Source

Weld

Warehouse

Weld · New sync

SourceCalendlyConnected

Tables to sync

list_event_invitees23 cols
list_events17 cols
list_activity_log_entries9 cols
list_organization_memberships7 cols
list_user_availability_schedules7 cols

Extract
Load
Keep in sync

DestinationGoogle BigQueryReady

calendly dataset

calendly.list_event_inviteesSynced
calendly.list_eventsSyncing
calendly.list_activity_log_entriesSynced
calendly.list_organization_membershipsSynced
calendly.list_user_availability_schedulesSynced

Calendly tables: 5
fields, typed: 63
agent context included: MCP

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How it works

How to set up Calendly to Google BigQuery in Weld.
In the app, with the API or an agent.

Setup guide API guide MCP docs

Weld · New Calendly sync

New connectionCalendlyAuthorised

Connection namecalendly

AuthorizeOpens Calendly to grant read access

Use cases

Why sync Calendly to Google BigQuery?
Ready for analysis.

Centralizing your Calendly data in Google BigQuery lets you join it with other data sources for cross-platform analytics and deeper insights.

Build reliable dashboards and reports by querying Calendly data directly in Google BigQuery using SQL or your preferred BI tool.

Centralized data warehouse
Bring Calendly data into Google BigQuery alongside other sources to create a single source of truth for your organization.
Automated reporting
Replace manual exports and spreadsheet-based reporting with automated pipelines from Calendly to Google BigQuery. Connect BI tools like Looker, Metabase, or Power BI.

Schema

What data can you sync?
Every Calendly table, keys intact.

Weld syncs the objects the Calendly connector exposes into Google BigQuery, and you choose which tables and fields to include. The connector's docs list what is available.

Open the schema explorer

All 5 tables

list_event_invitees
list_events
list_activity_log_entries
list_organization_memberships
list_user_availability_schedules

Weld MCP server

Ask your agent.
It queries Google BigQuery for you.

Connect Claude, Cursor, ChatGPT or your own agent to Weld over MCP. It reads the Calendly context, finds the tables it needs and runs the query in Google BigQuery.

Set up the MCP server

Claude CodeOpus 5

ConnectedWeld MCPAgent contextCalendlytables5fields63

How many list_event_invitees rows do we have in Google BigQuery?

Reading the Calendly context first, so the query uses the right tables and keys.

●weld·search_available_references

⎿raw.calendly.list_event_invitees

+ 4 more Calendly tables

●weld·get_reference_schema

⎿list_event_invitees · 23 columns

columns and types

●weld·run_query

⎿select count(*) from {{raw.calendly.list_event_invitees}}

submitted

●weld·get_query_status

⎿DONE

●weld·get_query_result

⎿rows returned

✓Answered from Calendly data in Google BigQuery

>Ask about your Calendly dataMCP

Under the hood

Technical considerations.
What to expect.

Incremental syncing: Weld uses incremental syncing where supported by the Calendly API, loading only new and updated records to minimize data transfer and warehouse costs.
Schema handling: Weld automatically manages schema changes. If Calendly adds new fields, they're detected and added to the corresponding Google BigQuery tables.
Data freshness: Sync frequency depends on your Weld plan. Most connectors support schedules from every 5 minutes up to daily intervals.
Security: All data is encrypted in transit (TLS) and at rest. Weld is SOC 2 Type II compliant and supports IP whitelisting for database connections.

Resources

Keep reading.
Guides, docs and schema.

Documentation

Calendly setup guide

How to connect Calendly to Weld, step by step.

Documentation

Google BigQuery setup guide

How to connect Google BigQuery to Weld, step by step.

Schema

Calendly schema explorer

Browse all 5 tables and 63 fields.

Connector

Calendly connector

Everything Weld does with Calendly.

FAQ

Common questions.
About Calendly to Google BigQuery.

Start syncing Calendly to Google BigQuery.

Set up your Calendly data pipeline in minutes. No credit card required. Free for 14 days.

Source

Weld

Warehouse

Start for free Talk to us

Related integrations.
More with Calendly and Google BigQuery.

View all

Calendly to Google BigQuery integration

How to set up Calendly to Google BigQuery in Weld.In the app, with the API or an agent.

Why sync Calendly to Google BigQuery?Ready for analysis.

Centralized data warehouse

Automated reporting

What data can you sync?Every Calendly table, keys intact.

Ask your agent.It queries Google BigQuery for you.

Technical considerations.What to expect.

Keep reading.Guides, docs and schema.

Common questions.About Calendly to Google BigQuery.