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JSON to CSV Converter FAQ — Data Format Conversion
Answers about converting JSON to CSV: handling nested objects, array conversion, data export, and working with spreadsheets.
Q1 How do I convert JSON to CSV?
Paste your JSON array into the JSON to CSV Converter — object keys become column headers automatically. Download as .csv or copy the result.
Q2 What JSON format does the converter expect?
An array of objects:
[{"name":"Alice","age":30},{"name":"Bob","age":25}]. Each object becomes a row, unique keys become columns.
Q3 How do I handle nested JSON in CSV?
CSV is flat. Options: (1) flatten with dot notation; (2) stringify nested objects as JSON in cells; (3) create separate CSVs. Python:
pandas.json_normalize(data).
Q4 How do I convert CSV to JSON?
Python:
list(csv.DictReader(open('file.csv'))). JavaScript: Papa Parse — Papa.parse(csvString, {header: true}).
Q5 How do I import JSON into Excel?
Excel 2016+: Data then Get Data then From JSON. Or convert to CSV first with the converter, then open in Excel.
Q6 What is the difference between JSON and CSV?
JSON supports nesting and multiple data types. CSV is flat, text-only, and more compact for tabular data. Use JSON for APIs, CSV for spreadsheets.
Q7 How do I convert JSON to CSV in Python?
Using pandas:
pd.json_normalize(data).to_csv('output.csv', index=False). Using csv module: csv.DictWriter with fieldnames from data keys.
Q8 How do I convert JSON to CSV in JavaScript?
Use Papa Parse:
Papa.unparse(data) — handles escaping correctly. Simple approach: map headers and values with join(',').
Q9 How do I handle special characters in CSV?
Fields with commas, quotes, or newlines must be enclosed in double quotes. Quotes within fields are escaped by doubling. Always use a CSV library.
Q10 What is a CSV delimiter?
The character separating fields. Default: comma. Alternatives: tab (TSV), semicolon (European locales), pipe. Specify when importing.
Q11 How do I handle JSON arrays in CSV cells?
Options: (1) join with separator; (2) create separate rows per element; (3) create separate columns. Depends on downstream use.
Q12 How do I convert a large JSON file to CSV?
Use streaming: Python
ijson + csv.writer. Node.js: JSONStream + csv-stringify. CLI: jq with @csv filter.
Q13 What is the CSV file size limit in Excel?
Excel supports up to 1,048,576 rows and 16,384 columns. For larger datasets, use Python pandas or database tools.
Q14 How do I validate CSV format?
Check: consistent column count, proper quoting, correct encoding (UTF-8), no BOM (unless Excel target). Tools: csvlint, Papa Parse.
Q15 How do I convert JSON API response to CSV?
Fetch the response, extract the data array, convert. Or paste JSON directly into the converter.
Q16 What is TSV format?
Tab-Separated Values uses tabs instead of commas. Advantages: tabs rarely appear in data. The native clipboard format from spreadsheets.
Q17 How do I convert JSON to Excel (XLSX)?
Python:
pandas: df.to_excel('output.xlsx'). JavaScript: xlsx package. Direct JSON-to-XLSX preserves data types.
Q18 How do I handle dates in CSV?
Use ISO 8601 format (2024-01-15) for unambiguous parsing. Avoid locale-specific formats. Format date columns explicitly in Excel.
Q19 What encoding should CSV files use?
UTF-8. For Excel with non-ASCII characters, add a UTF-8 BOM at the start. For programmatic use, UTF-8 without BOM.
Q20 How do I merge multiple JSON files into one CSV?
Python: use glob + pandas.json_normalize on each file, then pd.concat. Handles different keys across files.
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