DatriseAI-first ETL

Kommo CSV Files

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

How Datrise loads Kommo into CSV Files

Datrise syncs Kommo's conversational CRM events, chats, leads, and sales automation triggers 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

Kommo: Conversational CRM for WhatsApp, chat funnels, and sales automation.

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

How Kommo entities map to CSV Files

Kommo entityCSV Files objectNotes
conversational CRM eventskommo_conversational_crm_eventsISO-8601 timestamp columns events
chatskommo_chatsid PK · linked to kommo_conversational_crm_events
leadskommo_leadsid PK · linked to kommo_conversational_crm_events
sales automation triggerskommo_sales_automation_triggersid PK · linked to kommo_conversational_crm_events

FAQ

How does Datrise handle Kommo'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 Kommo 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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