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Data Converter

Convert between various data formats - Base64, Binary, JSON, XML, YAML, CSV, HTML, and more
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Overview

The node converts data from CSV format into a Markdown table. This is useful when you have tabular data in CSV and want to represent it as a Markdown-formatted table for documentation, README files, or markdown-based notes. For example, converting a CSV export of user data into a Markdown table that can be embedded in GitHub README or other markdown-supported platforms.

Properties

Name Meaning
Input Data The CSV data string to convert into a Markdown table.
CSV Delimiter Character used to separate fields in the CSV input (default is comma ,).
Binary Property Name Name for the output binary property if outputting binary data (not typical for this operation).

Output

  • The output JSON contains a single field with the Markdown table as a string.
  • The field name is result.
  • The Markdown table represents the CSV data converted into pipe-separated rows with header and alignment.
  • No binary output is expected by default for this operation.

Example output JSON snippet:

{
  "result": "| Header1 | Header2 |\n|---------|---------|\n| Value1  | Value2  |"
}

Dependencies

  • No external services or API keys are required.
  • Uses internal utility functions for CSV parsing and Markdown formatting.
  • No special environment variables or n8n credentials needed.

Troubleshooting

  • Common issues:
    • Incorrect CSV delimiter may cause improper parsing; ensure the delimiter matches the CSV input.
    • Malformed CSV input can lead to errors or unexpected output.
  • Error messages:
    • Parsing errors will throw exceptions indicating invalid CSV format.
    • If the input data is empty or missing, the node will error out or produce empty output.
  • Resolution:
    • Verify the CSV input format and delimiter.
    • Use valid CSV strings with consistent columns.

Links and References

Discussion