JSON ↔ CSV Converter

Pricing

$3.00/month + usage

JSON ↔ CSV Converter

Convert between JSON and CSV bidirectionally. Flatten nested objects to dot notation. Handle arrays with stringify, join, or first element. Custom delimiters (comma, semicolon, tab, pipe). Parse types automatically. Upload files, provide URLs, or load from Apify Datasets.

Pricing

$3.00/month + usage

Rating

0.0

(0)

Developer

Web Harvester

Maintained by Community

Actor stats

Bookmarked

Total users

Monthly active users

9 days ago

Last modified

🎯 What This Actor Does

Convert between JSON and CSV in either direction:

JSON → CSV - Flatten nested objects, handle arrays
CSV → JSON - Parse types, preserve structure
Flexible Input - Upload files, URLs, or Apify Datasets
Custom Delimiters - Comma, semicolon, tab, pipe
Smart Handling - Numbers, booleans, nested data

🚀 Use Cases

Use Case	Description
Data Export	Convert scraped JSON to CSV for Excel
Data Import	Convert CSV uploads to JSON for APIs
Integration	Bridge different system formats
Reporting	Prepare data for business tools
Migration	Move data between platforms

📥 Input Examples

JSON to CSV

{
    "mode": "json-to-csv",
    "datasetId": "abc123",
    "flatten": true,
    "delimiter": ","
}

CSV to JSON

{
    "mode": "csv-to-json",
    "fileUrl": "https://example.com/data.csv",
    "parseNumbers": true,
    "parseBooleans": true
}

⚙️ Configuration

Parameter	Type	Default	Description
`mode`	string	`json-to-csv`	Conversion direction
`file`	string	-	Upload a file
`fileUrl`	string	-	URL to file
`datasetId`	string	-	Load from Apify Dataset
`flatten`	boolean	`true`	Flatten nested objects to dot notation
`arrayHandling`	string	`stringify`	How to handle arrays: stringify, first, join
`delimiter`	string	`,`	CSV column separator
`includeHeaders`	boolean	`true`	Include headers in CSV
`parseNumbers`	boolean	`true`	Parse numeric strings
`parseBooleans`	boolean	`true`	Parse true/false strings

📤 Output

Conversion Result

{
    "status": "success",
    "inputFormat": "JSON",
    "outputFormat": "CSV",
    "rowCount": 1500,
    "columnCount": 12,
    "downloadUrl": "https://api.apify.com/v2/..."
}

Nested Object Flattening

Input JSON:

{
    "name": "John",
    "address": {
        "city": "NYC",
        "zip": "10001"
    }
}

Output CSV:

name,address.city,address.zip
John,NYC,10001

💰 Cost Estimation

Rows	Approx. Time	Compute Units
1,000	~5 seconds	~0.005
10,000	~15 seconds	~0.02
100,000	~1 minute	~0.1

🔧 Technical Details

Language: TypeScript / Node.js 22
Memory: 256MB-512MB
Speed: 50K+ rows/second

📄 License

MIT License - see LICENSE for details.

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