DatriseAI-first ETL

Help Scout to Supabase Integration

AI-first ETL from Help Scout into Supabase. Governed entities, incremental sync, typed landing tables.

How Datrise loads Help Scout into Supabase

Datrise syncs Help Scout's conversations, customers, mailboxes, threads, tags, and satisfaction ratings into Supabase as a typed table per source entity in your Supabase Postgres. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning for high-volume tables. Datrise lands into a dedicated schema and leaves row-level security to you, so synced tables don't inherit public access by accident.

Ideal for app builders who want CRM data alongside their Supabase product data.

Endpoints

Help Scout: Shared inbox help desk with customer conversation history.

Supabase: Postgres platform with auth, storage, and realtime APIs.

How Help Scout entities map to Supabase

Help Scout entitySupabase objectNotes
conversationshelp_scout_conversationsid PK · custom fields → jsonb columns
customershelp_scout_customersid PK · linked to help_scout_conversations
mailboxeshelp_scout_mailboxesid PK · linked to help_scout_conversations
threadshelp_scout_threadsid PK · linked to help_scout_conversations

FAQ

How does Datrise handle Help Scout's custom fields in Supabase?

Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Supabase types.

How does the Help Scout to Supabase sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

Early access

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