PayFit
Business software
Sync PayFit collaborator, contract, absence, and payslip 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 PayFit connector syncs your European payroll and HR data into analytics-ready tables in your data warehouse. Pull collaborators, contracts, absences, and payslips from the PayFit Customer 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:
- Collaborators
- Contracts
- Absences
- Payslips
How it gets built
- Choose PayFit when you set up a pipeline, with the warehouse it goes to and a schedule.
- Ingest reads PayFit's documentation, and you choose the tables you want.
- Ingest builds the connector and tests it against PayFit itself.
- A person at Ingest reviews and publishes it, and your pipeline starts on its own.
What you will need
API key. Create the key from the admin account's integrations configuration page, under the API access tab.
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 PayFit connector?
- Not as a finished connector yet. Ingest builds it from PayFit's own documentation the first time a customer asks, tests it against the real service, and lists it once it passes.
- Which warehouses can PayFit 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.
PayFit API documentation: https://developers.payfit.io/docs/start-with-payfit-api
Where this would land, and what else connects
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.