TActionTeableUpdated May 2026

How do I create a row in a Teable table?

Short answer: Drop the "Teable → Create Record" action anywhere in your workflow, map the inputs from upstream nodes, and publish.

Use this action All 3 Teable actions

Inputs

The fields this action accepts.

Every field can be mapped from an upstream trigger, AI step, table row, or hard-coded literal.

Field	Type	Required	Description
Table ID table_id	string	Required	—
Fields fields	object	Required	Field map. Keys are field names (or IDs); values match field type.

Sample request

{
  "table_id": "{{trigger.table_id}}",
  "fields": "{ \"Name\": \"My Item\", \"Status\": \"Todo\" }"
}

Returns

{
  "records": [
    {
      "id": "recXXXX",
      "fields": {
        "Name": "My Item"
      }
    }
  ]
}

Use these fields in downstream nodes for routing, logging, or error handling.

Triggered by

Apps that pair well as the trigger for Create Record.

Any of these apps can fire this action as part of a workflow.

Google Sheets → Teable

2 Google Sheets triggers

HubSpot → Teable

18 HubSpot triggers

FAQ

Questions about Create Record.

What does the Create Record action do in Teable?

Inserts a new record into a Teable table with the supplied field values. Teable is an Airtable-style spreadsheet-database, so you map your inputs to the table's named columns.

What inputs does Create Record require?

Required: Table ID, Fields. Every input accepts a static value or a variable from any upstream node in your workflow.

Can I use dynamic inputs from earlier workflow nodes?

Yes. Any field on this action can pull values from upstream nodes, whether that's a form response, a trigger payload, an AI output, or a lookup result.

What happens if Teable returns an error?

The workflow pauses on the failed node, the error message is captured in the run log, and you can retry the run with one click. Auto-retry policies are configurable per workflow with exponential backoff up to 5 attempts.

Does Create Record support batch operations?

Yes. Run Create Record inside a Loop node to process arrays. Tiny Command handles Teable's rate limits automatically so you don't have to throttle manually.

More actions