Gridly to Airtable Integration
AI-first ETL from Gridly into Airtable. Governed entities, incremental sync, typed landing tables.
How Datrise loads Gridly into Airtable
Datrise syncs Gridly's grids, records, columns, languages, views, and translation statuses into Airtable as a table per source entity in your base. Flexible or custom fields land in long-text JSON or linked records for nested data, and timestamps such as created, updated, and status changes are typed as date/dateTime fields.
Sync is incremental: Datrise uses upserts records matched on a stable id field, so re-runs update only what changed. Airtable enforces per-base record and API rate limits, so Datrise batches writes and lands a focused field set.
Ideal for operational workflows and light CRM views in Airtable.
Endpoints
Gridly: Localization and content grids for games and apps.
Airtable: Relational spreadsheet destination for ops and go-to-market teams.
How Gridly entities map to Airtable
| Gridly entity | Airtable object | Notes |
|---|---|---|
| grids | gridly_grids | id PK · custom fields → long-text JSON or linked records for nested data |
| records | gridly_records | id PK · linked to gridly_grids |
| columns | gridly_columns | id PK · linked to gridly_grids |
| languages | gridly_languages | id PK · linked to gridly_grids |
FAQ
How does Datrise handle Gridly's custom fields in Airtable?
Flexible values are stored as long-text JSON or linked records for nested data, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Airtable types.
How does the Gridly to Airtable sync stay up to date?
It runs incrementally — Datrise uses upserts records matched on a stable id field.
Related pipelines
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Early access
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