Papershift
Business software
Sync Papershift shift, employee, absence, and time tracking 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 Papershift connector syncs your workforce scheduling data into analytics-ready tables in your data warehouse. Pull shifts, employees, absences, and time trackings from the Papershift 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:
- Shifts
- Employees
- Absences
- Time trackings
How it gets built
- Choose Papershift when you set up a pipeline, with the warehouse it goes to and a schedule.
- Ingest reads Papershift's documentation, and you choose the tables you want.
- Ingest builds the connector and tests it against Papershift itself.
- A person at Ingest reviews and publishes it, and your pipeline starts on its own.
What you will need
API key (api_token in body or URL parameter). The API is a paid add-on; contact Papershift sales to activate it, then generate a key under Account Settings > API.
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 Papershift connector?
- Not as a finished connector yet. Ingest builds it from Papershift's own documentation the first time a customer asks, tests it against the real service, and lists it once it passes.
- Which warehouses can Papershift 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.
Papershift API documentation: https://developers.papershift.com/
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.