Send monday.com data to AI, reports, spreadsheets and ETL

Kondado’s monday.com data source offers 5 distinct pipelines containing 142 total fields, covering Board Settings, Board Items, Items: Conversations (Updates), Activity Logs, and Users. This comprehensive coverage allows you to replicate board structures, track individual items and their discussions, monitor system activities, and analyze user engagement patterns without writing code.

Marketing teams can analyze campaign project timelines and resource allocation across boards to optimize content calendars and deliverables. Data analysts gain the ability to correlate task completion rates with team member activity logs, identifying bottlenecks and productivity trends in project workflows. Operations managers benefit from cross-board visibility into workspace utilization, enabling them to standardize processes and improve project delivery forecasts. Whether you are building executive dashboards in BI tools or performing deep-dive analysis in SQL databases, this monday.com data empowers data-driven decision making across your organization.

The Kondado platform takes care of refreshing monday.com data, allowing you to stop wasting time with manual work and complex workflows, and focus on analyzing monday.com data with AI (Claude, ChatGPT and MCP) or in your report, spreadsheet, data warehouse, data lake, or database

Available monday.com Data Pipelines

The available pipelines capture every layer of your monday.com project management ecosystem. The Board Settings pipeline delivers workspace and group hierarchies essential for organizational analysis, while Board Items provides core task data including names, IDs, and modification timestamps for tracking project progress. Items: Conversations (Updates) captures discussion threads and comment histories to measure team engagement and communication velocity, and Activity Logs record every system event with precise timestamps for compliance and audit trails. The Users pipeline identifies creators and assignees, enabling workload distribution analysis and resource planning across your project portfolio. By joining these datasets, you can create comprehensive views connecting specific users to their activity patterns and item updates, revealing correlations between team interactions and project outcomes. With automated refreshes configurable from every 5 minutes to daily intervals, your monday.com analytics stay current with operational changes, ensuring KPIs like task completion rates and average resolution times reflect the latest project status.