TL;DR Short answer: the best Notion ETL tools depend on whether you need database rows in a spreadsheet or full workspace content in a warehouse. The Notion API only returns pages shared with your integration and allows about three requests per second, so large workspaces need incremental syncs. Seven Notion ETL tools compared:
Airbyte Fivetran Coupler.io Zapier Make Notion exports Custom code with the Notion API The Notion constraint: an integration sees nothing until pages are shared with it, and the Notion API is rate-limited to about three requests per second, so deeply nested pages and large databases take time to sync. Notion ETL tools and Notion integrations move databases, pages, blocks, comments and users out of a Notion workspace and into a spreadsheet, BI tool or cloud data warehouse . Most read the Notion API, so roadmaps, CRMs, content calendars and docs that teams keep in Notion can be analysed next to data from other systems.
Why use Notion ETL tools instead of Notion views? Notion's database views, charts and filters work well inside one workspace. Teams that run projects, content or lightweight CRMs in Notion usually need more: trends across many databases and months, Notion records joined with product, sales or support data, and a reliable history of how properties changed. That needs Notion data in a warehouse or BI tool, which is what Notion ETL tools are for.
How do the Notion ETL tools compare? Tool Best destination Sync method Deployment Pricing model Airbyte Warehouse, lake or database Incremental pages, blocks and data sources Cloud, self-hosted, Enterprise Flex Free self-hosted; Cloud volume-based; Pro and Flex capacity-based Fivetran Warehouse Scheduled sync (Lite connector) Cloud, hybrid Monthly active rows Coupler.io Sheets, BigQuery, CSV Scheduled refresh Cloud Subscription by imports Zapier Other apps Event triggers Cloud Tasks per month Make Other apps Scheduled or event scenarios Cloud Operations per month Notion exports Markdown, CSV, HTML or PDF Manual exports Inside Notion Included, by Notion plan Custom code Anywhere you send it Whatever you build Wherever you run it Free, engineering time
Which Notion ETL tools should you consider? Seven Notion ETL tools, from warehouse ELT to Notion's own exports:
1. Airbyte Airbyte is one of the leading open-source ELT tools , with 700+ connectors, and among Notion ETL tools it captures the most content. Its Notion source syncs data sources (formerly databases), pages, blocks and comments incrementally, and users with full refresh. The blocks stream walks nested content up to 30 levels deep, so page bodies, not just database properties, reach the warehouse.
You authenticate with OAuth or an internal integration token, then share the top-level pages you want to sync with the integration; sharing cascades to child pages. Airbyte retries automatically when Notion returns rate-limit errors, and runs self-hosted, on Airbyte Cloud or as Enterprise Flex.
Pros Cons Incremental pages, blocks, comments and data sources Only pages shared with the integration are synced Captures nested page content, not just properties Bound by about three requests per second Notion next to product, sales and 700+ other sources Deep block trees take time to backfill
2. Fivetran Fivetran is one of the managed Notion ETL tools, offering a Notion Lite connector: a use-case-focused, fully managed connector that loads Notion workspace data into a warehouse or lake. Lite connectors cover a narrower scope than Fivetran's standard connectors. Fivetran completed its merger with dbt Labs in June 2026.
Pros Cons Fully managed, with no infrastructure Lite connector with a narrower scope Pairs naturally with dbt for modelling Monthly active row pricing Same platform as other Fivetran sources Connector behaviour cannot be modified
3. Coupler.io Coupler.io is one of the lightest Notion ETL tools: it exports Notion databases into Google Sheets, BigQuery, CSV and other destinations on a schedule, refreshing as often as every 15 minutes, with preview, filtering and transformation before loading. It is the quickest Notion Google Sheets integration for scheduled reporting. For more spreadsheet options, see our guide to Google Sheets ETL tools .
Pros Cons Google Sheets, BigQuery and CSV destinations Focused on database rows, not page content Refreshes as often as every 15 minutes Less suited to very large workspaces Filter and transform before loading Pricing tied to import volume and frequency
4. Zapier Zapier is not one of the Notion ETL tools in the strict sense, but it connects Notion to 8,000+ apps through triggers and actions such as new database items and updated pages. It is the most common way to add form responses, emails or tickets to a Notion database, but it does not backfill history or model data for analytics.
Pros Cons Fastest no-code setup for workflow automation No historical backfill Creates and updates Notion database items Task-based pricing grows with activity Connects Notion to 8,000+ apps Not built for analytics-grade pipelines
5. Make Make sits next to Zapier among Notion ETL tools for automation: its visual scenarios can watch Notion databases, search and update items, and move records between Notion and other apps on a schedule or trigger. It suits operations teams building multi-step Notion workflows, but like Zapier it is not designed for warehouse analytics.
Pros Cons Visual, multi-step scenarios No warehouse-grade history Scheduled or triggered runs Operation-based pricing grows with volume Reads and writes Notion databases Complex scenarios need maintenance
6. Notion exports Before choosing Notion ETL tools, check the built-in options. Any page or database can be exported to Markdown and CSV, HTML or PDF, and workspace owners can export the entire workspace. Exports are the quickest way to back up content or hand a table to someone else, but they are manual snapshots that cannot be joined with other systems automatically.
Pros Cons Built in, with no extra tools Manual snapshots only Markdown and CSV for databases Relations and rollups need cleanup Full workspace export for owners Cannot be joined with other data automatically
7. Custom code with the Notion API When no Notion ETL tools fit a narrow need, you can call the API yourself. The Notion API lets an integration query databases, read pages and blocks, and list users and comments, and Notion webhooks can notify your integration when pages change. Custom code suits targeted pipelines, but you own pagination, nested block traversal, rate limits and API version changes.
Pros Cons Full control over databases, pages and blocks You own pagination and nested block traversal Webhooks for page changes About three requests per second to respect No licence cost API versions and property types change over time
How do you connect Notion to Google Sheets? For a Notion Google Sheets integration that refreshes on a schedule, Coupler.io exports database rows straight into a sheet. Zapier and Make can add or update a row whenever a Notion item changes. For a one-off copy, export the database to CSV and import it into Google Sheets. Teams comparing database tools may also want our guide to Airtable ETL tools .
How do you get Notion data into BigQuery or Snowflake? Most Notion ETL tools can load a warehouse. Notion to BigQuery or Snowflake pipelines run through an ELT tool such as Airbyte or Fivetran, or Coupler.io for BigQuery. Sync data sources and pages for structured properties, and blocks when you need page content. For warehouse-specific options, see our guide to Snowflake ETL tools .
How do you export data from Notion? For a one-off Notion export, open the page or database menu and export to Markdown and CSV, HTML or PDF; database CSVs open directly in Excel or Google Sheets. Workspace owners can export everything at once from settings. To keep Notion data up to date elsewhere, use a scheduled connector or an ELT tool instead of repeated manual exports.
What should you check before syncing Notion? Whichever Notion ETL tools you choose, most pipeline problems come from sharing, rate limits and the way Notion stores content. Check these first:
Sharing with the integration: an integration token sees nothing until pages are shared with it. Share the top-level pages or teamspaces you need; sharing cascades to child pages, and new top-level pages must be shared again.Rate limits: the Notion API allows about three requests per second per integration. Large workspaces and deep page trees take time, so sync incrementally and avoid sharing one integration across several tools.Properties and types: database properties such as relations, rollups, formulas and multi-selects arrive as nested JSON. Flatten them in the warehouse and keep property IDs as stable keys.Blocks and nesting: page content is stored as blocks nested inside other blocks. Sync blocks only if you need page text, and expect them to be the slowest stream.Data sources and API versions: Notion has renamed databases to data sources in newer API versions. Check that your tool and any custom code target a supported API version.Webhooks: Notion webhooks notify you that something changed but do not replace a full sync. Pair them with scheduled syncs for complete data.The Notion API exposes the content and structure of a workspace, including:
Databases and data sources: schemas, property definitions and the rows they contain. Pages: properties, parent, creator, timestamps and archive status. Blocks: the paragraphs, headings, lists, tables and embeds that make up page content. Comments: discussion on pages and blocks, with authors and timestamps. Users: workspace members and bots, used to attribute ownership and edits. Relations and rollups: links between databases, used to model projects, tasks and CRM records. How do you start pulling data from Notion? If you decide to test Airbyte, setting up a Notion pipeline takes three steps.
Step 1: Set up Notion as a source On Airbyte Cloud, authenticate your Notion workspace with OAuth; on Airbyte Core, create an internal integration in Notion and copy its token. Share the pages you want to sync with the integration, then in Airbyte open Sources, choose New source, select Notion and add your credentials and a start date.
Step 2: Set up a destination Pick where your Notion data should land: a warehouse such as BigQuery, Snowflake or Databricks, a database, or another Airbyte destination.
Step 3: Configure the connection Select data sources, pages and comments, add blocks if you need page content, use incremental sync, and schedule hourly or daily runs. The process is the same whether you deploy Airbyte Open Source or start with Airbyte Cloud .
Which Notion ETL tool should you choose? The right Notion ETL tools depend on where the data needs to go. For database rows in Google Sheets or BigQuery, Coupler.io is the quickest route. For full workspace content and analytics joined with other systems, use Airbyte for incremental pages and blocks, or Fivetran for a managed Lite connector. Zapier and Make suit workflow automation, and Notion exports cover backups and one-off copies. Teams that also run Asana or Confluence should see our guides to Asana ETL tools and Confluence ETL tools .
For a wider view of the market, see our guide to the best data integration tools .
Sync Notion to your warehouse with Airbyte Airbyte is one of the open-source Notion ETL tools. Replicate Notion data sources, pages, blocks and comments incrementally, next to your product, sales and 700+ other sources, self-hosted, on Airbyte Cloud or with Enterprise Flex.
Try Airbyte Cloud free for 14 days or talk to our team .
Frequently Asked Questions (FAQs) 1. What are the best Notion ETL tools? The best Notion ETL tools depend on your destination. Airbyte and Fivetran suit warehouse analytics, Coupler.io suits Google Sheets and BigQuery reporting, and Zapier and Make suit workflow automation rather than analytics.
2. Is there a Notion Google Sheets integration? Yes. Connectors such as Coupler.io export Notion databases into Google Sheets on a schedule, and Zapier or Make can add rows when Notion items change. For a one-off copy, export the database to CSV.
3. How do you export a Notion database to CSV? Open the database menu, choose export and select Markdown and CSV. The CSV contains the database rows and opens in Excel or Google Sheets, though relations and rollups may need cleanup.
4. What are the Notion API rate limits? The Notion API allows about three requests per second per integration and returns rate-limit errors when you exceed it. Large workspaces should sync incrementally and avoid running several tools on one integration.
5. Why is my Notion integration not returning any pages? A Notion integration can only read pages that have been shared with it. Share the relevant top-level pages or teamspaces with the integration, and sharing will cascade to their child pages.
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