Data Overview

Coupler.io can pull eight types of data from Coda. Most use cases center on Rows (the actual data inside your Coda tables), but the structural entities like Docs, Pages, and Tables are useful for auditing your workspace or building dynamic pipelines.

Entities overview

Entity	Best for
Docs	Inventory of all docs in your workspace
Categories	Organizing and filtering docs by category
Permissions	Auditing who has access to which docs
Pages	Listing and tracking pages within a doc
Tables	Discovering table structure within a doc
Formulas	Exporting named formula definitions
Controls	Tracking interactive controls in a doc
Rows	Exporting the actual data stored in a table

Docs

Available fields

Field	Description
id	Unique doc identifier
name	Doc title
owner	Email of the doc owner
ownerName	Display name of the owner
createdAt	Timestamp when the doc was created
updatedAt	Timestamp of the last update
browserLink	URL to open the doc
isStarred	Whether the doc is starred
isPublished	Whether the doc is publicly published
folderId	ID of the folder the doc belongs to

Pages

Available fields

Field	Description
id	Unique page identifier
name	Page title
isHidden	Whether the page is hidden from navigation
contentType	Type of content (canvas, sync table, etc.)
browserLink	URL to open the page
updatedAt	Timestamp of the last update

Tables

Available fields

Field	Description
id	Unique table identifier
name	Table name
tableType	Type of table (table, view, sync table)
rowCount	Number of rows in the table
createdAt	Timestamp when the table was created
updatedAt	Timestamp of the last update
browserLink	URL to open the table

Rows

Available fields

Field	Description
id	Unique row identifier
name	Row name (usually the value of the first column)
index	Row position in the table
createdAt	Timestamp when the row was created
updatedAt	Timestamp of the last update
browserLink	URL to open the row
values	Key-value pairs of all column values for the row

Column values in the Rows entity are returned under the values field as a nested object. Depending on your destination, you may need to use Coupler.io's column mapping or transformations to flatten these into individual columns.

Permissions

Available fields

Field	Description
id	Permission entry identifier
principal	The user or group receiving access
access	Access level (editor, commenter, viewer)

Common field combinations

• Rows + Tables — join table metadata with row data to know which table each row belongs to

• Docs + Permissions — combine to audit which users have access to which docs

• Pages + Docs — append page lists across multiple docs to build a full workspace sitemap

Use cases by role

Operations

• Export Coda project trackers to Google Sheets for stakeholder reporting

• Use the Rows entity to pull task or ticket data into BigQuery for trend analysis

• Monitor doc ownership and permissions with the Docs + Permissions entities

Analysts

AI workflows

Platform-specific notes

• The Rows entity requires you to specify a doc ID and table ID — make sure you have these ready before setting up the data flow

• Coda's API returns row values as nested objects; column names in the export correspond to column IDs, not display names in some cases

• Sync tables in Coda (tables that pull data from external sources) are included in the Tables entity but row data availability depends on the sync status

• Very large tables (tens of thousands of rows) may take longer to sync due to Coda API rate limits