How to convert XML to a CSV file?
The answer is to extract and convert XML data to CSV format using Python or online tools. First, parse the XML structure, identify duplicate elements as rows and sub-labels as columns; then write data row by row through Python's xml.etree.ElementTree and csv modules, or simply convert it with tools such as Online-Convert and Convertio, which is suitable for small files; for complex structures, programming methods are recommended to obtain complete control.

To convert XML to CSV, you need to extract structured data from the XML and write it into a flat table format. This can be done using programming languages like Python, online tools, or scripts depending on your technical comfort and data complexity.
Understand the XML Structure
Before converting, exam your XML file to identify repeating elements (like rows) and their child tags (like columns). For example:
In this case, record is a row, and name , age are fields.
Use Python with xml.etree.ElementTree
Python offers a simple way using built-in modules. Here's how:
- Parse the XML file using ElementTree
- Find all repeating nodes (eg, "record")
- Extract text from each sub-element
- Write the data to a CSV file
Example code:
import xml.etree.ElementTree as ETimport csv
tree = ET.parse('input.xml')
root = tree.getroot()
Open CSV file for writing
with open('output.csv', 'w', newline='') as f:
writer = csv.writer(f)
# Write header
writer.writerow(['name', 'age'])
# Loop through each record
for record in root.findall('record'):
name = record.find('name').text if record.find('name') is not None else ''
age = record.find('age').text if record.find('age') is not None else ''
writer.writerow([name, age])
Use Online Converters or Tools
If you're not coding, try these options:
- Online-Convert : Upload XML, map fields, download CSV
- Convertio : Supports XML to CSV with preview
- Excel : Open XML in Excel, then save as CSV
These work well for small files but may not handle complex nested structures automatically.
Choose the method based on your data size and structure. For full control, Python is best. For quick one-time jobs, online tools are convenient. Basically just map elements to columns and export row by row.
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