DatriseAI-first ETL

ActiveCampaign CSV Files

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

How Datrise loads ActiveCampaign into CSV Files

Datrise syncs ActiveCampaign's contacts, automations, campaigns, and sales pipeline updates 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

ActiveCampaign: CRM plus marketing automation and journeys.

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

How ActiveCampaign entities map to CSV Files

ActiveCampaign entityCSV Files objectNotes
contactsactivecampaign_contactsid PK · custom fields → JSON-encoded strings for nested fields
automationsactivecampaign_automationsid PK · linked to activecampaign_contacts
campaignsactivecampaign_campaignsid PK · linked to activecampaign_contacts
sales pipeline updatesactivecampaign_sales_pipeline_updatesid PK · linked to activecampaign_contacts

FAQ

How does Datrise handle ActiveCampaign'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 ActiveCampaign 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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