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Workable

Business software

Built when you ask for it

Sync Workable candidate, job, stage, and member 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 Workable connector syncs your recruiting and applicant tracking data into analytics-ready tables in your data warehouse. Pull candidates, jobs, stages, and members from the Workable 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:

  • Candidates
  • Jobs
  • Stages
  • Members

How it gets built

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

What you will need

Bearer token (personal API access token). Generate it under Integrations > "Generate new token", selecting scopes; shown only once.

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 Workable connector?
Not as a finished connector yet. Ingest builds it from Workable's own documentation the first time a customer asks, tests it against the real service, and lists it once it passes.
Which warehouses can Workable 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.

Workable API documentation: https://workable.readme.io/

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 Workable