Business Applications · Source connector

Notion ELT Connector

Extract brings Notion business applications data into data warehouses and databases for analysis with the rest of your business data. Teams use it to analyze operational activity, account changes, and business-process performance. Flexible scheduling keeps reporting current for routine analysis and time-sensitive decisions.

View setup guide

Use cases

What teams use this connector for

Operational reporting

Analyze Notion activity alongside account, finance, and process data to monitor business operations.

Record reconciliation

Compare Notion records with internal systems to identify missing, stale, or inconsistent business data.

Workflow prioritization

Use Notion data to prioritize accounts, tasks, and operational follow-up based on modeled business rules.

Flexible reporting cadence

Refresh Notion reporting every 15 minutes, hourly, daily, or on a custom schedule as business needs change.

Warehouse and database analysis

Use Extract to make Notion business applications data available in data warehouses and databases such as Snowflake, BigQuery, Redshift, and PostgreSQL for governed analysis.

Connector data

Available streams

Stream	Description	Sync mode
`children_blocks_of_page`	Fields include id, parent.page_id, _singular_extract_timestamp, archived.	Incremental
`pages`	Fields include id, _singular_extract_timestamp, archived, cover.external.url.	Incremental
`page_parent_type_block_rich_text`	Fields include page_parent_type_block_id, _singular_extract_timestamp, annotations.bold, annotations.code.	Incremental
`users`	Fields include id, _singular_extract_timestamp, avatar_url, bot.	Full refresh
`page_parent_type_block`	Fields include id, parent.page_id, _singular_extract_timestamp, archived.	Incremental
`children_blocks_of_page_rich_text`	Fields include parent_block_id, _singular_extract_timestamp, annotations.bold, annotations.code.	Incremental
`databases`	Fields include id, _singular_extract_timestamp, archived, cover.external.url.	Incremental

Schema

Data model at a glance

children_blocks_of_page

idstring
parent.page_idstring
_singular_extract_timestampstring
archivedboolean
created_by.idstring
created_by.objectstring
created_timestring
has_childrenboolean

page_parent_type_block_rich_text

page_parent_type_block_idstring
_singular_extract_timestampstring
annotations.boldboolean
annotations.codeboolean
annotations.colorstring
annotations.italicboolean
annotations.strikethroughboolean
annotations.underlineboolean

users

idstring
_singular_extract_timestampstring
avatar_urlstring
botjson
namestring
personjson
typestring

page_parent_type_block

idstring
parent.page_idstring
_singular_extract_timestampstring
archivedboolean
created_by.idstring
created_by.objectstring
created_timestring
has_childrenboolean

children_blocks_of_page_rich_text

parent_block_idstring
_singular_extract_timestampstring
annotations.boldboolean
annotations.codeboolean
annotations.colorstring
annotations.italicboolean
annotations.strikethroughboolean
annotations.underlineboolean

+1 more

No verified relationships are available in this schema preview.

Connector pairings

Popular destinations

Commonly paired with Notion in Extract workflows.

Why Extract

Why Extract for Notion

Rust-native performanceUse Rust-native data movement to refresh Notion reporting every 15 minutes, hourly, daily, or on a custom schedule as volume grows.
Full run transparencyInspect Notion API activity, execution steps, and timing in Extract's run-level logs when data needs review.
ELT + Reverse ETL in oneCombine Notion data with customer and finance models, then send approved outputs through a separately configured Reverse ETL destination.

Setup

Auth method	OAuth sign-in
Required permissions	Read content access to pages selected in the OAuth page picker
Estimated setup time	Est. 5–10 min with access ready; excludes initial sync and approvals
Incremental sync	Full refresh, incremental changes or partitions; varies by stream
Historical backfill	No backfill setting; historical coverage depends on the stream and provider
Sync frequency	15 min, hourly, daily, or custom

View the full setup guide

FAQ

Frequently asked questions

How does Extract handle incremental and full Notion syncs?

An incremental sync processes only new or changed data since a stored checkpoint or new date partition, while a full sync processes the complete selected dataset or date range again. By avoiding repeated processing and writes for the full dataset, incremental syncs can reduce destination database updates and warehouse compute costs. Stream schemas define full refresh, incremental changes, partition-based extraction. Behavior varies by stream and configuration. Extract records run details so teams can verify each sync.

Can I backfill historical Notion data with Extract?

Historical coverage for Notion: No connector-specific backfill parameter is exposed. Initial historical coverage depends on the stream and provider. Use the setup guide and run details to confirm the available source records and selected settings.

How can teams monitor Notion data quality and freshness?

Compare expected reporting periods and record totals in your models, then use Extract's run-level logs to inspect Notion API activity, execution steps, and timing. This helps teams distinguish a source-data delay from a failed or incomplete run.

How often can Extract sync data from Notion?

Extract supports schedules every 15 minutes, hourly, daily, or on a custom cadence. Teams can choose a frequency that matches routine reporting, time-sensitive monitoring, or operational activation needs.

What does the Notion data model look like in the destination?

The Available streams table describes the datasets Extract can read from Notion. The inline schema previews entities and fields. Only relationships verified from the exported schema are shown. Use the full schema link for more details.