Zenloop

Business software

Built when you ask for it

Sync Zenloop survey, answer, label, and segment data into your warehouse. Ingest builds this connector the first time a customer asks for it, then keeps the tables current in a data warehouse you own, on the schedule you choose.

The Zenloop connector syncs your NPS and customer feedback data into analytics-ready tables in your data warehouse. Pull surveys, answers, labels, and segments from the Zenloop API, with Ingest handling auth, pagination, and retries so the tables stay current.

What you would get

Each of these arrives as its own table, kept current on the schedule you choose:

  • Surveys
  • Answers
  • Labels
  • Segments

How it gets built

  1. Choose Zenloop when you set up a pipeline, with the warehouse it goes to and a schedule.
  2. Ingest reads Zenloop's documentation, and you choose the tables you want.
  3. Ingest builds the connector and tests it against Zenloop itself.
  4. A person at Ingest reviews and publishes it, and your pipeline starts on its own.

What you will need

Bearer token (static API token). Generate the token yourself on the Settings page (API Token section).

You enter it once, in a form in Ingest, and it is kept in a secret store set aside for your organization.

Questions

Does Ingest have a Zenloop connector?
Not as a finished connector yet. Ingest builds it from Zenloop's own documentation the first time a customer asks, tests it against the real service, and lists it once it passes.
Which warehouses can Zenloop data go to?
Amazon S3, Google Cloud Storage, Azure Blob Storage, Apache Iceberg, Ingest Managed Lakehouse, MotherDuck, Postgres, Amazon Athena, Databricks, Redshift, BigQuery, ClickHouse, MySQL / generic SQL and Snowflake, in an account you own.
Do I need to write code?
No. Ingest builds, runs and maintains the connector. Someone with access to your warehouse connects it once, following a short guide.

Zenloop API documentation: https://docs.zenloop.com/reference/authentication

Setting up the destination is its own short guide, one per warehouse or lake: Amazon S3, Google Cloud Storage, Azure Blob Storage, Apache Iceberg, Ingest Managed Lakehouse, MotherDuck, Postgres, Amazon Athena, Databricks, Redshift, BigQuery, ClickHouse, MySQL / generic SQL, Snowflake.

Other sources Ingest connects for SaaS teams: Asana, Jira, Airtable, Clockify, Facebook Ads, Frankfurter.

Request Zenloop