DatriseAI-first ETL

Yotpo CSV Files

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

How Datrise loads Yotpo into CSV Files

Datrise syncs Yotpo's reviews, loyalty members, redemptions, and campaign 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

Yotpo: Reviews and loyalty marketing for e-commerce brands.

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

How Yotpo entities map to CSV Files

Yotpo entityCSV Files objectNotes
reviewsyotpo_reviewsid PK · custom fields → JSON-encoded strings for nested fields
loyalty membersyotpo_loyalty_membersid PK · linked to yotpo_reviews
redemptionsyotpo_redemptionsid PK · linked to yotpo_reviews
campaign eventsyotpo_campaign_eventsISO-8601 timestamp columns events

FAQ

How does Datrise handle Yotpo'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 Yotpo 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

Early access

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