Notion integration

Notion data, in your warehouse.

A built-in ingestr connector: add credentials, pick tables, schedule it.

name: raw.tasks
type: ingestr
parameters:
  source_connection: notion
  source_table: 'Tasks'
  destination: snowflake
  incremental_strategy: merge

$ bruin run assets/raw/notion.asset.yml

  1. extract · Notion Tasksincremental
  2. load · snowflake raw.Tasksmerged
  3. checks · not_null, unique

Loaded and checked. Downstream models can run.

How it connects

Connected in three steps.

Notion is an all-in-one workspace with databases that can be used as a data source.

  1. 01

    Add a Notion connection with its credentials.

  2. 02

    Pick the tables to load and how: replace, append or merge.

  3. 03

    Bruin runs it on your schedule and checks every load.

Connection parameters

api_key
Integration token from Notion
database_id
ID of the Notion database

Tables

4 tables, ready to load.

  • Tasks
  • Projects
  • Contacts
  • Content Calendar

The platform

Part of the Bruin platform.

Data in, ready for everything downstream: the models, the checks, the lineage and the AI layer.

Frequently asked

Questions about Notion.

Does Bruin have a built-in Notion integration?

Yes. Built-in ingestr source.

Which Notion tables can Bruin load?

Tasks, Projects, Contacts, Content Calendar.

Where can Notion data go?

Snowflake, BigQuery, Databricks, Redshift, ClickHouse, Postgres, DuckDB, MotherDuck, Microsoft Fabric and more, plus files on S3 and GCS.

How fresh is the data?

As fresh as your schedule. Incremental loads append, merge or replace a time window, every few minutes if you like.

Do we need Bruin Cloud?

No. The Bruin CLI and ingestr run locally, in CI or in your own orchestrator. Bruin Cloud adds scheduling, lineage, alerts and the AI data analyst on top.

Ready to connect Notion?

$100 in credits and 50 AI tasks. No credit card.

A demo walks through your own data.

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