DatriseAI-first ETL

Shippo to CSV Files Integration

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

How Datrise loads Shippo into CSV Files

Datrise syncs Shippo's shipments, rates, labels, carriers, tracking statuses, and addresses 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

Shippo: Multi-carrier shipping labels and rates.

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

How Shippo entities map to CSV Files

Shippo entityCSV Files objectNotes
shipmentsshippo_shipmentsid PK · custom fields → JSON-encoded strings for nested fields
ratesshippo_ratesid PK · linked to shippo_shipments
labelsshippo_labelsid PK · linked to shippo_shipments
carriersshippo_carriersid PK · linked to shippo_shipments

FAQ

How does Datrise handle Shippo'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 Shippo 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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