JSON to CSV Data Pipeline
Format raw JSON data, convert it to CSV, and validate the output. A complete pipeline for transforming API data into spreadsheet-ready formats.
The Problem
You have messy JSON from an API or database export and need clean CSV for Excel, Google Sheets, or a data pipeline. Manual conversion loses nested data and mishandles special characters.
Why This Workflow Works
Formatting JSON first reveals its structure, ensuring you flatten nested objects correctly before CSV conversion. Using Word Counter to verify row counts catches data loss early. This three-step pipeline produces reliable, import-ready CSV files.
Tool Pipeline
Step-by-Step Workflow
Format and inspect the raw JSON
JSON FormatterPaste your raw JSON into the JSON Formatter. This validates the structure and reveals nested objects that need flattening. Check for arrays of objects — these map to CSV rows.
Convert JSON to CSV
JSON to CSVCopy the formatted JSON and paste it into JSON to CSV. The tool automatically detects array structures and creates column headers from object keys. Review the preview to ensure all fields are included.
Validate the output
Word CounterPaste the CSV output into the Word Counter to verify row counts match your expected record count. Check line count (should equal records + 1 for the header). This catches truncation or parsing errors.
Example Scenario
Converting a GitHub API response to a spreadsheet
You need to create a spreadsheet of all open issues in a GitHub repository from the API response.
[{"id": 1, "title": "Fix login bug", "state": "open", "labels": [{"name": "bug"}], "assignee": {"login": "dev1"}}, {"id": 2, "title": "Add dark mode", "state": "open", "labels": [{"name": "feature"}], "assignee": null}]
id,title,state,labels.0.name,assignee.login 1,Fix login bug,open,bug,dev1 2,Add dark mode,open,feature,
Frequently Asked Questions
How do I convert nested JSON to flat CSV?
First use the JSON Formatter to understand the nesting structure. Then paste into JSON to CSV which automatically flattens nested objects using dot notation (e.g., user.name becomes a column header).
What happens to arrays inside JSON objects during CSV conversion?
Arrays are flattened with index notation (e.g., tags.0, tags.1). For complex nested arrays, consider pre-processing the JSON to extract only the fields you need before conversion.
How many rows can the JSON to CSV converter handle?
The JSON to CSV tool runs entirely in your browser, so it can handle thousands of rows. For very large datasets (100K+ rows), consider using the command-line approach with jq and csvkit.
Related Workflows
Try these tools individually
Each tool runs in your browser with no signup required.