DatriseAI-first ETL

DealerSocket to CSV Files Integration

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

How Datrise loads DealerSocket into CSV Files

Datrise syncs DealerSocket's leads, customers, vehicles, deals, showroom visits, and trade-ins 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

DealerSocket: Automotive dealer CRM for showroom and desking workflows.

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

How DealerSocket entities map to CSV Files

DealerSocket entityCSV Files objectNotes
leadsdealersocket_leadsid PK · custom fields → JSON-encoded strings for nested fields
customersdealersocket_customersid PK · linked to dealersocket_leads
vehiclesdealersocket_vehiclesid PK · linked to dealersocket_leads
dealsdealersocket_dealsid PK · linked to dealersocket_leads

FAQ

How does Datrise handle DealerSocket'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 DealerSocket 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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