DatriseAI-first ETL

Trustpilot to CSV Files Integration

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

How Datrise loads Trustpilot into CSV Files

Datrise syncs Trustpilot's reviews, business units, consumers, star ratings, replies, and invitations 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

Trustpilot: Consumer reviews and business reputation data.

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

How Trustpilot entities map to CSV Files

Trustpilot entityCSV Files objectNotes
reviewstrustpilot_reviewsid PK · custom fields → JSON-encoded strings for nested fields
business unitstrustpilot_business_unitsid PK · linked to trustpilot_reviews
consumerstrustpilot_consumersid PK · linked to trustpilot_reviews
star ratingstrustpilot_star_ratingsid PK · linked to trustpilot_reviews

FAQ

How does Datrise handle Trustpilot'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 Trustpilot 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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