How to Import XML Data into Power BI (2026 Step-by-Step Beginner Tutorial)
📥 Pull Structured XML Data Directly Into Your Power BI Reports — Here's How to Import XML Data into Power BI (2026 Step-by-Step Beginner Tutorial)
Stop manually converting XML files into Excel or CSV format before you can use them in Power BI when Power Query has a native XML connector that lets you import and parse XML data directly, automatically transforming its nested and hierarchical structure into clean, usable tables ready for your data model. In this complete 2026 beginner tutorial, you'll learn exactly how to import XML data into Power BI — so you can connect directly to XML files from system exports, API responses, or legacy data sources, navigate and flatten their hierarchical structure into proper tabular data, and build reports on top of XML-formatted data without any external conversion tools or manual reformatting.
Whether you're a data analyst who receives system export files in XML format and needs to bring them into Power BI for regular reporting, a small business owner working with a legacy system or third-party platform that only exports data as XML and needs that data integrated into your broader business intelligence reports, or a Power BI developer building a data pipeline that needs to handle XML-formatted API responses or configuration exports as part of a larger data integration project, knowing how to correctly import and transform XML data in Power BI is a valuable data sourcing skill that expands the range of source systems you can confidently bring into your reporting environment. In this step-by-step walkthrough, we'll show you how to navigate to the Get Data menu in Power BI Desktop and select the XML connector, browse to and select your source XML file, use Power Query Editor to navigate the nested table structure that Power BI automatically creates from your XML hierarchy, expand the relevant nested tables and records into flat columns, and load your transformed and flattened XML data into the Power BI data model ready for visualization.
We'll also cover how to handle deeply nested XML structures with multiple levels of hierarchy that require several rounds of expansion to fully flatten into usable tabular data, how to deal with XML attributes versus XML elements and how each is represented differently when imported into Power Query, how to filter and clean your XML data to remove unnecessary metadata or structural fields that don't belong in your final data model, and best practices for documenting your XML transformation steps so the flattening logic remains clear and maintainable for anyone who needs to update the data source or troubleshoot the import in the future. Whether you're importing XML data for the first time or working with a complex multi-level XML structure that requires careful transformation, this tutorial gives you a thorough and practical process to follow from raw XML file to clean and report-ready data.
✅ What You'll Learn:
How to use the XML connector in Power BI Desktop to connect to a source XML file
Navigating the nested table structure that Power BI creates from XML hierarchy
Expanding nested tables and records into flat usable columns in Power Query
Handling XML attributes versus elements and deeply nested multi-level structures
Best practices for cleaning and documenting your XML transformation steps
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