Airtable

Your flexible database for tracking anything—leads, inventory, projects. Create, update, and query records to power your workflows.

Supported Triggers and Actions

Bubble Lab helps you create workflows that connect your apps to automate repetitive tasks. A trigger is an event that starts a workflow, and an action is an event that can happen during the workflow.

Triggers

Events in Airtable that can start your workflow

• Record Created — Triggers when a new record is created in a specified table
• Record Updated — Triggers when a record is modified in your Airtable base
• Record Deleted — Triggers when a record is removed from a table

Actions

Things your workflow can do with Airtable

• List Records — List records from an Airtable table with filtering and sorting
• Get Record — Retrieve a single record by its ID
• Create Records — Create one or more new records in an Airtable table
• Update Records — Update existing records in an Airtable table
• Delete Records — Delete one or more records from an Airtable table
• List Bases — List all bases accessible with the current API key
• Get Base Schema — Get the schema for a specific base including all tables and fields
• Create Table — Create a new table in an Airtable base
• Update Table — Update table properties like name and description
• Create Field — Create a new field in an Airtable table
• Update Field — Update field properties like name, type, or description

Example workflows

Click any example to try it with Pearl.

CRM AutomationTrigger

When a new lead is added to Airtable, automatically enrich their data and send a personalized welcome email via Gmail.

Inventory AlertsTrigger

When a record is updated in Airtable and stock drops below threshold, send an alert to the team via Slack.

Task from Slack

When someone posts in a channel on Slack, create a new project record in Airtable and confirm in the thread.

Disclaimer

Bubble Lab workflows may use Large Language Models (LLMs) such as GPT, Claude, and Gemini to generate responses and automate tasks. AI-generated content may be inaccurate, incomplete, or outdated. Users should independently verify any AI-generated outputs before relying on them for decisions.