How to convert JSON to CSV in Excel?
Open Excel, go to Data > Get Data > From File > From JSON. Select your JSON file, Excel will display a preview. Click 'Load' to import. Alternatively, use our online converter to get CSV format, then open directly in Excel. For complex JSON, use Power Query to transform nested structures before loading.
How to convert JSON to CSV in Python?
Use pandas: import pandas as pd; df = pd.read_json('data.json'); df.to_csv('output.csv', index=False). Without pandas, use the csv and json modules: import json, csv; with open('data.json') as f: data = json.load(f); with open('output.csv', 'w') as csvfile: writer = csv.DictWriter(csvfile, fieldnames=data[0].keys()); writer.writeheader(); writer.writerows(data).
Can you convert JSON to CSV?
Yes, JSON can be converted to CSV easily. JSON arrays of objects convert naturally to CSV rows, with object keys becoming column headers. Nested JSON requires flattening. Use our online converter for instant conversion, or programmatically with Python (pandas), JavaScript (json2csv), or other languages.
How to download JSON to CSV?
Use our online converter: paste JSON data, click convert, then download the generated CSV file. Programmatically, read JSON, convert to CSV format, and write to file. In Python: df.to_csv('output.csv'). In JavaScript: use json2csv library and fs.writeFile() to save CSV.
How to convert CSV to JSON in React?
Use the Papa Parse library in React: import Papa from 'papaparse'; Papa.parse(csvFile, {header: true, complete: (results) => {console.log(results.data)}}). This parses CSV to JSON objects. For JSONto CSV in React, use json2csv: import {parse} from 'json2csv'; const csv = parse(jsonData); then create a downloadable blob.
How to convert CSV to JSON file?
In Python: import pandas as pd; df = pd.read_csv('data.csv'); df.to_json('output.json', orient='records'). In JavaScript/Node.js, use Papa Parse or csv-parser for CSV to JSON. Online tools like our converter can also handle CSV to JSON conversion with instant download.
What code converts JSON to CSV?
Python: pandas.read_json().to_csv(). JavaScript: use json2csv library. Java: Jackson + OpenCSV. PHP: json_decode() + fputcsv(). The approach varies by language but follows a pattern: parse JSON, iterate through data, write CSV rows with headers from JSON keys.
How to convert JSON to CSV locally?
Use command-line tools like jq combined with csvkit, or write scripts in Python/JavaScript. For browsers, use our online converter which processes locally without uploading data. Desktop applications like Excel, LibreOffice Calc, or programming IDEs with JSON/CSV plugins also work offline.
What is a CSV to JSON example?
CSV input: 'name,age\nJohn,30\nJane,25' converts to JSON: [{"name":"John","age":30},{"name":"Jane","age":25}]. The CSV header row becomes JSON object keys, and each CSV row becomes a JSON object in an array.
Can Excel convert JSON to CSV?
Yes! Excel 2016+ supports JSON import via Data > Get Data > From JSON. Excel loads JSON, transforms it with Power Query, and you can save as CSV. For complex nested JSON, Power Query allows flattening and restructuring before saving to CSV format.
How to convert JSON to CSV in Visual Studio Code?
Install extensions like 'Rainbow CSV' or 'JSON to CSV'. Select JSON text, open Command Palette (Ctrl+Shift+P), search for 'Convert JSON to CSV'. Alternatively, use integrated terminal to run Python/Node.js scripts for conversion. Extensions often provide one-click conversion features.
What is JSON to CSV data conversion?
JSON to CSV conversion transforms hierarchical JSON data into flat tabular CSV format. JSON objects become CSV rows, JSON keys become CSV column headers. Nested structures are flattened, arrays are expanded, and the output is compatible with spreadsheets and databases.
Can we convert CSV file to JSON?
Yes, CSV to JSON conversion is straightforward. CSV headers become JSON object keys, and each row becomes a JSON object. Tools like pandas (Python), Papa Parse (JavaScript), or online converters handle this easily. The reverse process (JSON to CSV) is equally simple.
Why use JSON over CSV?
JSON supports nested structures, arrays, mixed data types, and hierarchical relationships. It's ideal for APIs, configuration files, and complex data. JSON is more flexible for representing real-world data structures. CSV is simpler but limited to flat tables without nesting or type information.
Why is JSON better than CSV?
JSON preserves data types (strings, numbers, booleans, null), supports nested objects and arrays, represents hierarchical data naturally, and is the standard for web APIs. CSV is better for simplicity and spreadsheet compatibility, but JSON excels in flexibility and structure representation.
How to use pandas to convert JSON to CSV?
import pandas as pd; df = pd.read_json('data.json'); df.to_csv('output.csv', index=False). For nested JSON, use pd.json_normalize(): df = pd.json_normalize(data); df.to_csv('output.csv'). Pandas handles complex JSON structures and provides extensive data manipulation options before CSV export.
How to convert JSON to CSV in Python (py)?
Method 1 (pandas): pd.read_json('file.json').to_csv('output.csv', index=False). Method 2 (standard library): import json, csv; with open('data.json') as f: data=json.load(f); with open('out.csv','w') as csvfile: writer=csv.DictWriter(csvfile, data[0].keys()); writer.writeheader(); writer.writerows(data).
Can CSV be converted to JSON if necessary?
Absolutely! CSV to JSON is a common operation. In Python: pd.read_csv('file.csv').to_json('output.json', orient='records'). JavaScript: use Papa Parse. The conversion is lossless for flat data, and you can structure the JSON output as an array of objects or other formats.
How to flatten JSON to CSV?
Use pandas json_normalize() in Python: pd.json_normalize(nested_json).to_csv('flat.csv'). This flattens nested objects using dot notation (e.g., 'user.address.city'). For JavaScript, libraries like flat or manual recursive flattening functions work. Our online tool automatically flattens nested JSON.
How to convert JSON to CSV in PowerShell?
Get-Content data.json | ConvertFrom-Json | Export-Csv output.csv -NoTypeInformation. For complex JSON, pipe through Select-Object to specify properties: Get-Content data.json | ConvertFrom-Json | Select-Object name, age | Export-Csv output.csv -NoTypeInformation.
How to convert JSON to CSV in Google Sheets?
Use IMPORTDATA function for JSON URLs or copy-paste JSON and use Apps Script. Custom function: function jsonToCsv(json) { var data = JSON.parse(json); return data.map(row => Object.values(row).join(','))}. Alternatively, convert JSON to CSV with our tool, then import CSV to Google Sheets.
What is the easiest way to convert JSON to CSV?
Use our free online JSON to CSV converter - paste JSON, click convert, download CSV. No installation, no coding required. For programmers, Python pandas (pd.read_json().to_csv()) is simplest. Both methods handle nested JSON and provide instant results.
What is JSON CSV?
JSON CSV refers to converting between JSON and CSV formats. It's not a hybrid format but a conversion process. JSON is structured hierarchical data, CSV is flat tabular data. Tools and libraries facilitate transforming JSON to CSV and vice versa for different use cases.
Is JSON the same as CSV?
No. JSON is a hierarchical format supporting nested objects, arrays, and data types. CSV is a flat, tabular format with rows and columns, no nesting, and all data as text. JSON is for complex structured data and APIs; CSV is for spreadsheets and simple datasets.
What are the benefits of JSON over CSV?
JSON benefits: supports nested structures, preserves data types, represents arrays and objects, ideal for APIs, human-readable, and flexible. CSV benefits: simpler format, Excel-compatible, smaller file size for flat data, universal support. Choose based on data complexity and use case.