Aircall connector

Set up the Aircall connector in Kaivo: authentication, configuration, the 9 BigQuery tables it syncs, and answers to common questions.

Written By Lauri Raivio

Last updated 16 days ago

Kaivo is a fully managed data platform that syncs your Aircall data into a Google BigQuery warehouse and keeps it up to date automatically. There is no pipeline to build and no infrastructure to run, so you can spend your time analysing your customer support data instead of moving it.

What is the Aircall connector

Sync your Aircall call data into BigQuery with Kaivo to analyse call volume, team performance, and customer contact patterns.

Category	Customer Service, Tech
Authentication	API key
Setup	Self-service

Getting started with the Aircall connector

Sign up for Kaivo and create a workspace.
Connect your Aircall account.
Choose which tables to sync.
Wait for the initial sync to finish.
Query your data in BigQuery or your favourite AI or BI tool.

Authenticating Aircall

Authenticate with your Aircall credentials. You provide:

Field	Description
API ID	Your Aircall API ID. Find it under Integrations & API → API Keys in your Aircall dashboard; the API ID and API Token are generated together.
API Token	Your Aircall API Token, shown alongside the API ID under Integrations & API → API Keys in your Aircall dashboard.

Configuring the Aircall connector

When you set up the connector, you provide:

Field	Description
Start Date	Any data before this date will not be fetched.

Tables and columns synced from Aircall

Kaivo syncs 9 tables from Aircall into a dedicated dataset in your BigQuery warehouse. Click any table to see its columns and types.

calls (44 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`answered_at`	`FLOAT64`
`archived`	`BOOL`
`asset`	`STRING`
`assigned_to`	`STRING`
`contact`	`STRING`
`cost`	`STRING`
`country_code_a2`	`STRING`
`direct_link`	`STRING`
`direction`	`STRING`
`duration`	`FLOAT64`
`ended_at`	`FLOAT64`
`id`	`FLOAT64`
`missed_call_reason`	`STRING`
`number__availability_status`	`STRING`
`number__country`	`STRING`
`number__created_at`	`STRING`
`number__digits`	`STRING`
`number__direct_link`	`STRING`
`number__id`	`FLOAT64`
`number__is_ivr`	`BOOL`
`number__live_recording_activated`	`BOOL`
`number__name`	`STRING`
`number__open`	`BOOL`
`number__priority`	`STRING`
`number__time_zone`	`STRING`
`pricing_type`	`STRING`
`raw_digits`	`STRING`
`recording`	`STRING`
`started_at`	`FLOAT64`
`status`	`STRING`
`transferred_by`	`STRING`
`transferred_to`	`STRING`
`user__availability_status`	`STRING`
`user__available`	`BOOL`
`user__created_at`	`STRING`
`user__direct_link`	`STRING`
`user__email`	`STRING`
`user__id`	`FLOAT64`
`user__language`	`STRING`
`user__name`	`STRING`
`user__time_zone`	`STRING`
`voicemail`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Subtable: calls__comments

Column	Type	Description
`_kaivo_parent_id`	`STRING`	Foreign key referencing _kaivo_id in the parent table. Auto-generated by Kaivo.
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`content`	`STRING`
`id`	`FLOAT64`
`posted_at`	`FLOAT64`
`posted_by__availability_status`	`STRING`
`posted_by__available`	`BOOL`
`posted_by__created_at`	`STRING`
`posted_by__direct_link`	`STRING`
`posted_by__email`	`STRING`
`posted_by__id`	`FLOAT64`
`posted_by__name`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Subtable: calls__tags

Column	Type	Description
`_kaivo_parent_id`	`STRING`	Foreign key referencing _kaivo_id in the parent table. Auto-generated by Kaivo.
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`created_at`	`FLOAT64`
`id`	`FLOAT64`
`name`	`STRING`
`tagged_by__availability_status`	`STRING`
`tagged_by__available`	`BOOL`
`tagged_by__created_at`	`STRING`
`tagged_by__direct_link`	`STRING`
`tagged_by__email`	`STRING`
`tagged_by__id`	`FLOAT64`
`tagged_by__name`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Subtable: calls__teams

Column	Type	Description
`_kaivo_parent_id`	`STRING`	Foreign key referencing _kaivo_id in the parent table. Auto-generated by Kaivo.
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`created_at`	`STRING`
`direct_link`	`STRING`
`id`	`FLOAT64`
`name`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

company (5 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`name`	`STRING`
`numbers_count`	`FLOAT64`
`users_count`	`FLOAT64`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

contacts (11 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`company_name`	`STRING`
`created_at`	`FLOAT64`
`direct_link`	`STRING`
`first_name`	`STRING`
`id`	`FLOAT64`
`information`	`STRING`
`is_shared`	`BOOL`
`last_name`	`STRING`
`updated_at`	`FLOAT64`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Subtable: contacts__emails

Column	Type	Description
`_kaivo_parent_id`	`STRING`	Foreign key referencing _kaivo_id in the parent table. Auto-generated by Kaivo.
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`id`	`FLOAT64`
`label`	`STRING`
`value`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Subtable: contacts__phone_numbers

Column	Type	Description
`_kaivo_parent_id`	`STRING`	Foreign key referencing _kaivo_id in the parent table. Auto-generated by Kaivo.
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`id`	`FLOAT64`
`label`	`STRING`
`value`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

numbers (27 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`availability_status`	`STRING`
`available`	`BOOL`
`country`	`STRING`
`created_at`	`TIMESTAMP`
`digits`	`STRING`
`direct_link`	`STRING`
`email`	`STRING`
`id`	`FLOAT64`
`is_ivr`	`BOOL`
`language`	`STRING`
`live_recording_activated`	`BOOL`
`messages__after_hours`	`STRING`
`messages__callback_later`	`STRING`
`messages__closed`	`STRING`
`messages__ivr`	`STRING`
`messages__ringing_tone`	`STRING`
`messages__unanswered_call`	`STRING`
`messages__voicemail`	`STRING`
`messages__waiting`	`STRING`
`messages__welcome`	`STRING`
`name`	`STRING`
`open`	`BOOL`
`priority`	`STRING`
`time_zone`	`STRING`
`wrap_up_time`	`FLOAT64`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

tags (6 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`description`	`STRING`
`color`	`STRING`
`id`	`FLOAT64`
`name`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

teams (6 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`created_at`	`TIMESTAMP`
`direct_link`	`STRING`
`id`	`FLOAT64`
`name`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Subtable: teams__users

Column	Type	Description
`_kaivo_parent_id`	`STRING`	Foreign key referencing _kaivo_id in the parent table. Auto-generated by Kaivo.
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`created_at`	`STRING`
`direct_link`	`STRING`
`email`	`STRING`
`id`	`FLOAT64`
`name`	`STRING`
`time_zone`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

user_availability (2 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

users (12 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`availability_status`	`STRING`
`available`	`BOOL`
`created_at`	`STRING`
`direct_link`	`STRING`
`email`	`STRING`
`id`	`FLOAT64`
`language`	`STRING`
`name`	`STRING`
`time_zone`	`STRING`
`wrap_up_time`	`FLOAT64`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

webhooks (8 columns)

Column	Type	Description
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`active`	`BOOL`
`created_at`	`TIMESTAMP`
`direct_link`	`STRING`
`id`	`FLOAT64`
`token`	`STRING`
`url`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

Subtable: webhooks__events

Column	Type	Description
`_kaivo_parent_id`	`STRING`	Foreign key referencing _kaivo_id in the parent table. Auto-generated by Kaivo.
`_kaivo_id`	`STRING`	Primary key that uniquely identifies the row. Auto-generated by Kaivo.
`value`	`STRING`
`_kaivo_extracted_at`	`TIMESTAMP`	Timestamp that shows when the row was extracted. Auto-generated by Kaivo.

How the Aircall sync works

After the first load, Kaivo keeps your BigQuery warehouse up to date for you. Where Aircall supports it, each sync pulls only new and changed records so it stays fast; otherwise it refreshes the whole table. Every record keeps its original ID, so you won't get duplicate rows.

Frequently asked questions

How long does the initial sync take for Aircall?

It depends on how much history is in your Aircall account. Most initial syncs finish within minutes, while large accounts can take a few hours. After that, syncs only fetch new and changed records, so they're much faster.

Can I sync only some tables or columns?

Yes. You pick which tables to sync when you set up the connection and can change the selection later. Tables you don't select are never copied to your warehouse.

What happens when Aircall's schema changes?

New fields are never added automatically. You choose which fields to sync, so data you haven't selected (sensitive personal data, for example) never lands in your warehouse. When a new field appears, it becomes available for you to add. What happens to removed or renamed fields depends on a table's sync mode: full-refresh tables always match what's currently in Aircall, so dropped fields disappear, while incremental tables keep their existing columns and history, so an old field stays and newly added fields fill in over time.

Your data lives in your own Kaivo-managed BigQuery warehouse, so the most direct option is to delete or anonymise specific records right in BigQuery. If you delete data in Aircall instead, full-refresh tables drop it on the next sync, while incremental tables keep it, so you would remove the row in BigQuery or ask us to run a full refresh. To remove everything, delete the Aircall connector in Kaivo and all of its synced data is deleted with it.

Common use cases for Aircall data

Call volume trends

Aggregate calls by number, team, and date to track inbound and outbound volume over time.

Team performance

Join calls with users and teams to compare answer rates and handling across agents.

Availability and coverage

Use user_availability to see staffing against call demand and find coverage gaps.

Contact analysis

Bring contacts and calls together to understand who calls and how often.

Use Aircall data in your AI and BI tools

Once Aircall data lands in your Kaivo-managed BigQuery warehouse, you can explore it with AI tools or any BI tool that connects to BigQuery. Here's how the most common destinations work with Aircall data.

Claude

Use Kaivo's MCP server to give Claude secure, workspace-scoped access to your data. Setup guide →

Power BI

Microsoft's BI tool with a native BigQuery connector. Supports direct query and scheduled refresh. Setup guide →

Data Studio

Free Google BI tool with native BigQuery support. One-click connection to your Kaivo warehouse; great for SMB teams on Google Workspace. Setup guide →

Tableau

The premium analytics standard, with native BigQuery integration. Setup guide →

Google Sheets

Use Connected Sheets to query BigQuery directly from a spreadsheet, with no SQL. Setup guide →

Excel

Connect via Power Query's BigQuery connector. Setup guide →

Metabase

Open-source BI tool with strong BigQuery support. Setup guide →

See our pricing page for Aircall connector pricing and plan details.

HubSpot: Sync HubSpot to BigQuery.
Adform: Sync Adform to BigQuery.
Amplitude: Sync Amplitude to BigQuery.
Auth0: Sync Auth0 to BigQuery.
Convex: Sync Convex to BigQuery.
Dixa: Sync Dixa to BigQuery.

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