Convert JSON to CSV for pandas
Prepare JSON data for pandas.read_csv() without writing a one-off flattening script.
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Make JSON easier to load into pandas
Pandas can read JSON, but nested API responses often need cleanup before analysis. CSV is still the common handoff format for quick notebooks, audits, and spreadsheet checks. Use this page to flatten nested records, keep column names predictable, and export a CSV that pandas can read without surprise object blobs in the middle of your dataframe.
How it works
- Paste JSON from an API response, export, or log sample.
- Pick a flattening style that produces stable pandas column names.
- Download the CSV and load it with pandas.read_csv().
FAQ
Should I use this instead of pandas.json_normalize()?
Use json_normalize() if you are already writing Python and want full control in code. Use this tool when you want to inspect the data first, choose columns visually, or hand a CSV to someone who is not working in Python.