TL;DR Short answer: the best monday.com ETL tools depend on where you report. monday.com dashboards cover work inside monday.com, but reporting across boards, teams and other systems needs the data elsewhere. Spreadsheet and BI users can use a reporting connector; warehouse teams should use an ELT tool that syncs boards and items incrementally from the monday API without exhausting its complexity budget. Eight monday.com ETL tools compared:
Airbyte Fivetran Windsor.ai Coupler.io Power BI Connector for monday.com Zapier monday.com dashboards and exports Custom code with the monday API The monday.com constraint: the monday API is GraphQL and metered by a complexity budget, so large boards with many columns must be fetched in smaller queries, and column values arrive as typed JSON that needs flattening for reporting. monday.com ETL tools and monday.com integrations move boards, items, column values, updates and users out of monday.com and into a spreadsheet, BI tool or cloud data warehouse . Most read the monday API, so project, CRM and operations work tracked on boards can be reported across teams and joined with data from other systems.
Why use monday.com ETL tools instead of monday.com dashboards? monday.com dashboards and reporting widgets summarise boards inside the platform. Teams usually need more: delivery and SLA trends across every board and workspace, capacity planning joined with time tracking, pipeline boards matched to revenue in a CRM or billing system, and history that survives board restructures. That needs monday.com data in a warehouse or BI tool next to other systems, which is what monday.com ETL tools are for.
How do the monday.com ETL tools compare? Tool Best destination Sync method Deployment Pricing model Airbyte Warehouse, lake or database Incremental via activity logs Cloud, self-hosted, Enterprise Flex Free self-hosted; Cloud volume-based; Pro and Flex capacity-based Fivetran Warehouse Scheduled sync Cloud, hybrid Monthly active rows Windsor.ai BigQuery, Looker Studio, BI tools Scheduled refresh Cloud Subscription by data volume Coupler.io Sheets, Excel, BigQuery, Power BI Scheduled refresh Cloud Subscription by imports Power BI Connector Power BI Scheduled refresh monday.com marketplace app Marketplace subscription Zapier Other apps Event triggers Cloud Tasks per month monday.com dashboards and exports Excel Manual exports Inside monday.com Included, by monday.com plan Custom code Anywhere you send it Whatever you build Wherever you run it Free, engineering time
Which monday.com ETL tools should you consider? Eight monday.com ETL tools, from warehouse ELT to monday.com's own dashboards:
1. Airbyte Airbyte is one of the leading open-source ELT tools , with 700+ connectors, and among monday.com ETL tools it is the one with activity-log incremental sync. Its monday.com source uses the monday GraphQL API to sync boards, items, activity logs, updates, teams, users, tags and workspaces. Boards and items sync incrementally: the connector reads activity logs to find which boards and items changed, then fetches only those.
You authenticate with OAuth or a personal API token, and can limit the sync to specific board IDs. Airbyte runs self-hosted, on Airbyte Cloud or as Enterprise Flex inside your own environment.
Pros Cons Incremental boards and items via activity logs Bound by monday.com's complexity budget Limit syncs to selected board IDs Column values need flattening in the warehouse monday.com next to CRM, time tracking and 700+ other sources Very large boards take longer to backfill
2. Fivetran Fivetran is one of the fully managed monday.com ETL tools, an ELT service with a monday.com connector that loads boards and items into a warehouse schema, handling authentication and schema changes for you. Fivetran completed its merger with dbt Labs in June 2026.
Pros Cons Fully managed, with a standard schema Monthly active row pricing grows with item activity Handles schema changes automatically Connector behaviour cannot be modified Pairs naturally with dbt for modelling Warehouse-only destinations
3. Windsor.ai Windsor.ai is one of the no-code monday.com ETL tools, a data integration platform whose monday.com connector streams board data into BigQuery, Looker Studio and other BI destinations. It suits teams that want monday.com reporting next to marketing and sales data without building pipelines. For other Google Cloud options, see our guide to GCP ETL tools .
Pros Cons No-code, set up in minutes Focused on reporting rather than raw replication BigQuery and Looker Studio destinations Pricing depends on data volume monday.com next to marketing and sales data Less control than general-purpose ELT
4. Coupler.io Coupler.io is one of the lightest monday.com ETL tools: it exports monday.com boards and items into Google Sheets, Excel, BigQuery, Power BI and Looker Studio on a schedule, refreshing as often as every 15 minutes, with preview, filtering and transformation before loading. It is the quickest monday.com Google Sheets integration for scheduled reporting. For more spreadsheet options, see our guide to Google Sheets ETL tools .
Pros Cons Sheets, Excel, BigQuery and Power BI Less suited to very large accounts Refreshes as often as every 15 minutes Pricing tied to import volume and frequency Filter and transform before loading Limited modelling beyond basic transforms
5. Power BI Connector for monday.com Power BI Connector for monday.com is one of the narrowest monday.com ETL tools, a marketplace app that exports board data into Microsoft Power BI on a schedule. It is a one-way export built for Power BI users who want monday.com dashboards without spreadsheets or a warehouse in between.
Pros Cons Built for Power BI users One-way export only Installed from the monday.com marketplace Power BI is the only destination Scheduled refreshes Separate marketplace subscription
6. Zapier Zapier is not one of the monday.com ETL tools in the strict sense, but it connects monday.com to 8,000+ apps through triggers and actions such as new items, column value changes and new updates. It is the most common way to create monday.com items from forms, emails or CRM events, but it does not backfill history or model data for analytics.
Pros Cons Fastest no-code setup for workflow automation No historical backfill Triggers on item and column changes Task-based pricing grows with activity Connects monday.com to 8,000+ apps Not built for analytics-grade pipelines
7. monday.com dashboards and exports Before choosing monday.com ETL tools, check the built-in options. monday.com includes dashboards with chart, workload and battery widgets across boards, and any board can be exported to Excel. They are the quickest way to answer day-to-day questions, but exports are manual, one board at a time, and cannot be joined with other systems automatically.
Pros Cons Built in, with no extra tools Manual exports, one board at a time Dashboards across several boards Widget depth depends on your plan Board export to Excel Cannot be joined with other data automatically
8. Custom code with the monday API When no monday.com ETL tools fit a narrow need, you can call the API yourself. The monday.com API is a GraphQL API covering boards, items, column values, updates, users and workspaces, and monday.com webhooks notify you when items are created or column values change. Custom code suits narrow needs, but you own query design, complexity budgeting, pagination and API version changes.
Pros Cons Full control with GraphQL queries You own complexity budgeting and pagination Webhooks for item and column changes API versions change regularly No licence cost Ongoing maintenance
How do you connect monday.com to Google Sheets or Power BI? For a monday.com Google Sheets integration that refreshes on a schedule, Coupler.io exports boards straight into a sheet, and the same connector feeds Power BI and BigQuery. Power BI users can also install the Power BI Connector for monday.com from the marketplace. When dashboards need monday.com next to CRM or time tracking data, load everything into a warehouse first with an ELT tool.
How do you export data from monday.com? For a one-off export, open a board and export it to Excel. To export many boards on a schedule, use Coupler.io or an ELT tool such as Airbyte, which syncs boards and items incrementally through the monday API. Developers can query exactly the columns they need with the GraphQL API.
What should you check before syncing monday.com? Whichever monday.com ETL tools you choose, most pipeline problems come from the GraphQL API's limits and the flexibility of boards. Check these first:
Tokens and access: use OAuth or a personal API token from an account that can see every workspace and board you report on. Tokens only see what their user can see.Complexity budget: the monday API meters each query by complexity rather than simple request counts. Large boards with many columns can exhaust the budget, so sync in smaller batches and avoid running several tools on one account.Column values: each column type, such as status, people, date or numbers, returns its value as typed JSON. Flatten column values in the warehouse and map column IDs to readable names.Board structure changes: teams add, rename and archive columns and groups often. Keep column IDs as stable keys so reports survive renames.Subitems and connected boards: subitems and connect-boards columns create links between boards. Model them explicitly so items are not double counted.API versions: monday.com releases a new API version each quarter and retires old ones. Check that your tool keeps up, and plan upgrades for custom code.The monday API exposes the work tracked on boards, including:
Boards: names, columns, groups, owners and workspace. Items and subitems: each row on a board with its column values, such as status, owner, dates and numbers. Updates: comments and discussion on items, used for collaboration and response-time analysis. Activity logs: changes to boards and items over time, used for incremental syncs and audit trails. Users and teams: the people behind assignments and workload reporting. Tags and workspaces: how boards and items are organised across the account. How do you start pulling data from monday.com? If you decide to test Airbyte, setting up a monday.com pipeline takes three steps.
Step 1: Set up monday.com as a source In monday.com, open your profile, go to Developers and copy your personal API token, or plan to authenticate with OAuth. In Airbyte, open Sources, choose New source and select Monday , add your credentials and, optionally, the board IDs you want to sync.
Step 2: Set up a destination Pick where your monday.com data should land: a warehouse such as BigQuery, Snowflake or Databricks, a database, or another Airbyte destination.
Step 3: Configure the connection Select boards, items, activity logs, updates, users and workspaces, use incremental sync for boards and items, and schedule hourly or daily runs. The process is the same whether you deploy Airbyte Open Source or start with Airbyte Cloud .
Which monday.com ETL tool should you choose? The right monday.com ETL tools depend on where the data needs to go. For reporting in Google Sheets or Power BI, Coupler.io or the Power BI Connector for monday.com are the quickest routes, and Windsor.ai suits BigQuery and Looker Studio. For analytics joined with other systems, use Airbyte for incremental syncs and broad destinations, or Fivetran for a managed pipeline. Zapier suits workflow automation, and monday.com dashboards cover day-to-day tracking. Teams that also run Asana, Jira or a CRM should see our guides to Asana ETL tools , Jira ETL tools and HubSpot ETL tools .
For a wider view of the market, see our guide to the best data integration tools .
Sync monday.com to your warehouse with Airbyte Airbyte is one of the open-source monday.com ETL tools. Replicate monday.com boards, items and updates incrementally, next to your CRM, time tracking 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 monday.com ETL tools? The best monday.com ETL tools depend on your destination. Airbyte and Fivetran suit warehouse analytics, Coupler.io, Windsor.ai and the Power BI Connector suit sheets and BI reporting, and Zapier suits workflow automation rather than analytics.
2. Is there a monday.com Google Sheets integration? Yes. Connectors such as Coupler.io export monday.com boards and items into Google Sheets on a schedule, and Zapier can add rows when items change. For larger accounts, a warehouse is more reliable than a sheet.
3. How do you connect monday.com to Power BI? Install the Power BI Connector for monday.com from the marketplace, use a connector such as Coupler.io, or sync monday.com into a warehouse with an ELT tool and connect Power BI to the warehouse.
4. What is the monday API? The monday API is a GraphQL API for reading and writing boards, items, column values, updates and users. It is metered by a complexity budget rather than simple request counts, and new API versions are released regularly.
5. How do you export a monday.com board to Excel? Open the board and use the export option to download it as an Excel file. To export many boards automatically, use a scheduled connector or an ELT tool.
6. What are monday.com webhooks used for? monday.com webhooks notify another system when items are created or column values change. They do not replay history, so pair them with a scheduled sync when you need complete data.
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