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Flowlu

Business software

Built when you ask for it

Sync Flowlu project, task, and opportunity 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 Flowlu connector syncs your project management and CRM data into analytics-ready tables in your data warehouse. Pull projects, tasks, invoices, and opportunities from the Flowlu 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:

  • Projects
  • Tasks
  • Invoices
  • Opportunities

How it gets built

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

What you will need

API key (query parameter) or OAuth2. Generate an API key from your Flowlu account, or register an OAuth2 app for the authorization-code flow.

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

Flowlu API documentation: https://www.flowlu.com/api/

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 Flowlu