DatriseAI-first ETL

Odoo CRM CSV Files

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

How Datrise loads Odoo CRM into CSV Files

Datrise syncs Odoo CRM's modular CRM entities, opportunities, and revenue process data 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

Odoo CRM: Modular CRM in the Odoo suite for leads, opportunities, and revenue.

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

How Odoo CRM entities map to CSV Files

Odoo CRM entityCSV Files objectNotes
modular CRM entitiesodoo_crm_modular_crm_entitiesid PK · custom fields → JSON-encoded strings for nested fields
opportunitiesodoo_crm_opportunitiesid PK · linked to odoo_crm_modular_crm_entities
revenue process dataodoo_crm_revenue_process_dataid PK · linked to odoo_crm_modular_crm_entities

FAQ

How does Datrise handle Odoo CRM'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 Odoo CRM 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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