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Attio

Business software

Built when you ask for it

Sync Attio record, list, and workspace 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 Attio connector syncs your CRM data into analytics-ready tables in your data warehouse. Pull records, lists, workspaces, and notes from the Attio 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:

  • Records
  • Lists
  • Workspaces
  • Notes

How it gets built

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

What you will need

Bearer token (API key) or OAuth2. Generate an API key from the workspace's Developer settings page in Attio.

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

Attio API documentation: https://docs.attio.com/rest-api/overview

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 Attio