JSON to CSV
Convert JSON arrays to CSV format for spreadsheets.
About this tool
JSON (JavaScript Object Notation) arrays are a common data format used in web applications, APIs, and databases, but many traditional tools like spreadsheet programs and data analysis software work with CSV (Comma-Separated Values) files. Converting JSON to CSV transforms structured data from APIs and exports into a tabular format that Excel, Google Sheets, and statistical analysis tools understand, making it easy to organize, analyze, and share your data with colleagues.
Paste your JSON array into the converter and select your preferred delimiter (comma, semicolon, or tab). The tool automatically detects the columns in your data and generates a CSV file with proper headers extracted from the first object's keys. You can download the result or copy it directly to your clipboard. This is particularly useful when working with API responses, database exports, customer records, survey results, or any structured data that needs to be analyzed in a spreadsheet.
The converter handles nested data by flattening it into CSV columns, and you have the option to include or exclude headers. Keep in mind that CSV files are best for tabular data where each row has the same fields; if your JSON contains deeply nested objects or arrays, consider whether CSV is the right format for your analysis workflow. Whether you're a developer integrating data pipelines, a data analyst preparing reports, or a business user extracting information from APIs, this tool streamlines the conversion process without requiring command-line tools or programming knowledge.
Frequently Asked Questions
Code Implementation
import csv
import json
import io
data = [
{"name": "Alice", "age": 30, "city": "New York"},
{"name": "Bob", "age": 25, "city": "London"},
]
# Using csv.DictWriter
with open("output.csv", "w", newline="", encoding="utf-8") as f:
if data:
writer = csv.DictWriter(f, fieldnames=data[0].keys())
writer.writeheader()
writer.writerows(data)
# Using pandas (recommended for complex data)
import pandas as pd
df = pd.DataFrame(data)
df.to_csv("output.csv", index=False)
# From JSON string
json_str = '[{"x": 1, "y": 2}, {"x": 3, "y": 4}]'
df = pd.read_json(json_str)
csv_output = df.to_csv(index=False)
print(csv_output)Comments & Feedback
Comments are powered by Giscus. Sign in with GitHub to leave a comment.