DatriseAI-first ETL

Lokalise to Airtable Integration

AI-first ETL from Lokalise into Airtable. Governed entities, incremental sync, typed landing tables.

How Datrise loads Lokalise into Airtable

Datrise syncs Lokalise's projects, keys, translations, languages, contributors, 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

Lokalise: Translation management for product strings.

Airtable: Relational spreadsheet destination for ops and go-to-market teams.

How Lokalise entities map to Airtable

Lokalise entityAirtable objectNotes
projectslokalise_projectsid PK · custom fields → long-text JSON or linked records for nested data
keyslokalise_keysid PK · linked to lokalise_projects
translationslokalise_translationsid PK · linked to lokalise_projects
languageslokalise_languagesid PK · linked to lokalise_projects

FAQ

How does Datrise handle Lokalise'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 Lokalise 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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