DatriseAI-first ETL

ServiceTitan CSV Files

AI-first ETL from ServiceTitan into CSV Files. Governed entities, incremental sync, typed landing tables.

How Datrise loads ServiceTitan into CSV Files

Datrise syncs ServiceTitan's contacts, accounts, deals, activities, and lifecycle events into CSV Files as one CSV per source entity. Flexible or custom fields land in JSON-encoded strings for nested fields, and timestamps such as created, updated, and status changes are typed as ISO-8601 timestamp columns.

Sync is incremental: Datrise uses writes a fresh, fully-typed CSV per entity each run, so re-runs update only what changed. Optional date-suffixed files for change tracking. CSV has no types, so Datrise emits a companion schema and quotes/escapes consistently so downstream loaders don't misparse commas and newlines.

Ideal for portable hand-off into any tool that ingests delimited files.

Endpoints

ServiceTitan: Field service CRM for scheduling, jobs, and customer history.

CSV Files: Flat-file destination for exports and lightweight data sharing.

How ServiceTitan entities map to CSV Files

ServiceTitan entityCSV Files objectNotes
contactsservicetitan_contactsid PK · custom fields → JSON-encoded strings for nested fields
accountsservicetitan_accountsid PK · linked to servicetitan_contacts
dealsservicetitan_dealsid PK · linked to servicetitan_contacts
activitiesservicetitan_activitiesISO-8601 timestamp columns events

FAQ

How does Datrise handle ServiceTitan's custom fields in CSV Files?

Flexible values are stored as JSON-encoded strings for nested fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native CSV Files types.

How does the ServiceTitan to CSV Files sync stay up to date?

It runs incrementally — Datrise uses writes a fresh, fully-typed CSV per entity each run.

Related pipelines

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