XML to CSV: Extract Records from XML for Spreadsheet Analysis
Many data exports and feeds use XML with a list-of-records structure — products, orders, users, or transactions wrapped in repeating elements. CSV is what spreadsheets and data pipelines want. This converter detects the repeating record elements, flattens nested children with dot notation, and produces properly quoted CSV ready for import.
The converter auto-detects the wrapper element and treats its children as records. Missing fields become empty cells.
Auto-Record Detection
The converter looks at the top two levels of the XML tree: if the root element has a single child type that repeats, those are the records. If the root element is itself a list of record elements, those are used directly. This handles the two most common structures:
Dot-Notation Flattening
XML records often have nested child elements:
Use Cases for XML-to-CSV
Common conversion scenarios: product catalog XML from a supplier → CSV for import into e-commerce. Order export XML from ERP → CSV for spreadsheet analysis. GIS data in KML (XML) → CSV for latitude/longitude analysis. RSS feed items → CSV for content management. Configuration XML → CSV for bulk editing.
What Gets Converted
- Repeating record elements → CSV rows
- Nested child elements → dot-notation columns
- XML attributes → @attr columns
- Missing optional fields → empty cells
- Column union from all records
Frequently Asked Questions
What XML structure works best?
The converter works best with XML that has a clear list-of-records structure: a root element containing repeated child elements (records), where each record has consistent child elements. For example,
How are nested child elements handled?
Nested child elements are flattened using dot notation. A
How are XML attributes handled?
Attributes are included in the CSV with a @ prefix in the column name. For example,
What if different records have different fields?
The converter uses the union of all fields found across all records as the CSV column set. If some records have a field that others don't, the missing fields appear as empty cells in the CSV. This handles XML where optional elements are omitted for certain records.