What should I use for extracting records from directories into CSV?

It depends on what kind of “records” are in the directories, but here are the usual best choices:

If you want a quick, flexible script

Python is usually the best option.

• Use os, pathlib, csv, json, re
• Great for scanning folders, parsing filenames/content, and writing CSV
• Easy to adapt if the directory structure changes

If the records are already in text/log files

Use:

• Python for robust parsing
• PowerShell on Windows if you want something built-in and simple
• awk/sed on Linux/macOS for lightweight text extraction

If the data is structured in files

• JSON files → Python (json module)
• XML files → Python (xml.etree.ElementTree)
• Excel/CSV files in folders → Python (pandas)

If you’re dealing with many files and want easy tabular output

Python + pandas is often ideal:

• Read files from directories
• Normalize data into rows/columns
• Export directly with to_csv()

Recommendation

If you’re not sure, use Python with pandas. It’s the most versatile choice for extracting records from directories into CSV.

If you want, I can give you:

1. a Python script template, or
2. the best tool for your exact file type.