Zenloop to Airtable Integration
AI-first ETL from Zenloop into Airtable. Governed entities, incremental sync, typed landing tables.
How Datrise loads Zenloop into Airtable
Datrise syncs Zenloop's surveys, answers, NPS scores, respondents, sentiment labels, and feedback topics into Airtable as a table per source entity in your base. Flexible or custom fields land in long-text JSON or linked records for nested data, and timestamps such as created, updated, and status changes are typed as date/dateTime fields.
Sync is incremental: Datrise uses upserts records matched on a stable id field, so re-runs update only what changed. Airtable enforces per-base record and API rate limits, so Datrise batches writes and lands a focused field set.
Ideal for operational workflows and light CRM views in Airtable.
Endpoints
Zenloop: NPS surveys and customer feedback analysis.
Airtable: Relational spreadsheet destination for ops and go-to-market teams.
How Zenloop entities map to Airtable
| Zenloop entity | Airtable object | Notes |
|---|---|---|
| surveys | zenloop_surveys | id PK · custom fields → long-text JSON or linked records for nested data |
| answers | zenloop_answers | id PK · linked to zenloop_surveys |
| NPS scores | zenloop_nps_scores | id PK · linked to zenloop_surveys |
| respondents | zenloop_respondents | id PK · linked to zenloop_surveys |
FAQ
How does Datrise handle Zenloop's custom fields in Airtable?
Flexible values are stored as long-text JSON or linked records for nested data, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Airtable types.
How does the Zenloop to Airtable sync stay up to date?
It runs incrementally — Datrise uses upserts records matched on a stable id field.
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