1С:CRM → CSV Files
AI-first ETL from 1С:CRM into CSV Files. Governed entities, incremental sync, typed landing tables.
How Datrise loads 1С:CRM into CSV Files
Datrise syncs 1С:CRM's contacts, accounts, deals, activities, and lifecycle events 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
1С:CRM: CRM with strong adoption in CIS markets for sales and operations.
CSV Files: Flat-file destination for exports and lightweight data sharing.
How 1С:CRM entities map to CSV Files
| 1С:CRM entity | CSV Files object | Notes |
|---|---|---|
| contacts | 1c_crm_contacts | id PK · custom fields → JSON-encoded strings for nested fields |
| accounts | 1c_crm_accounts | id PK · linked to 1c_crm_contacts |
| deals | 1c_crm_deals | id PK · linked to 1c_crm_contacts |
| activities | 1c_crm_activities | ISO-8601 timestamp columns events |
FAQ
How does Datrise handle 1С: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 1С: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
More destinations for 1С:CRM
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