Salesflare → CSV Files
AI-first ETL from Salesflare into CSV Files. Governed entities, incremental sync, typed landing tables.
How Datrise loads Salesflare into CSV Files
Datrise syncs Salesflare's B2B account intelligence, interactions, and automated relationship timelines 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
Salesflare: B2B CRM focused on automation and relationship timeline data.
CSV Files: Flat-file destination for exports and lightweight data sharing.
How Salesflare entities map to CSV Files
| Salesflare entity | CSV Files object | Notes |
|---|---|---|
| B2B account intelligence | salesflare_b2b_account_intelligence | id PK · custom fields → JSON-encoded strings for nested fields |
| interactions | salesflare_interactions | id PK · linked to salesflare_b2b_account_intelligence |
| automated relationship timelines | salesflare_automated_relationship_timelines | ISO-8601 timestamp columns events |
FAQ
How does Datrise handle Salesflare'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 Salesflare 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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