# Data Converter — JSON, CSV & XML (`accurate_pouch/data-converter`) Actor
Convert between JSON, CSV, and XML formats in bulk. JSON to CSV, CSV to JSON, JSON to XML, XML to JSON. Handles quoted fields, nested objects. $0.003/conversion.
- **URL**: https://apify.com/accurate\_pouch/data-converter.md
- **Developed by:** [Manchitt Sanan](https://apify.com/accurate_pouch) (community)
- **Categories:** Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
Pay per usage
This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".
## How to integrate an Actor?
If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
# README
## Data Converter -- JSON, CSV & XML
Convert between JSON, CSV, and XML formats in bulk. Handles quoted fields, commas in values, nested objects. No external dependencies -- pure Node.js implementation.
### Quick Start
```json
{
"items": [
{
"data": "[{\"name\":\"Alice\",\"age\":30,\"city\":\"New York\"},{\"name\":\"Bob\",\"age\":25,\"city\":\"London\"}]",
"operation": "json-to-csv"
},
{
"data": "name,age,city\nAlice,30,New York\nBob,25,London",
"operation": "csv-to-json"
},
{
"data": "[{\"name\":\"Alice\",\"age\":30}]",
"operation": "json-to-xml",
"options": { "rootElement": "people", "itemElement": "person" }
},
{
"data": "Alice30",
"operation": "xml-to-json"
}
]
}
````
### Input Reference
| Field | Type | Required | Description |
|-------|------|----------|-------------|
| `items` | array | Yes | Array of conversion items |
| `items[].data` | string | Yes | Data string to convert (or URL to fetch from) |
| `items[].operation` | string | Yes | One of: `json-to-csv`, `csv-to-json`, `json-to-xml`, `xml-to-json` |
| `items[].options` | object | No | Optional conversion settings |
#### Options
| Option | Type | Default | Description |
|--------|------|---------|-------------|
| `delimiter` | string | `,` | CSV delimiter character |
| `rootElement` | string | `root` | XML root element name |
| `itemElement` | string | `item` | XML item element name |
| `includeHeader` | boolean | `true` | Include header row in CSV output |
#### Operations
- **json-to-csv**: Converts a JSON array of objects to CSV format. Flattens nested objects with dot notation.
- **csv-to-json**: Parses CSV (with proper quoted field handling) into a JSON array of objects.
- **json-to-xml**: Converts a JSON array of objects to XML with configurable element names.
- **xml-to-json**: Parses simple XML into a JSON array of objects.
### Output Example
```json
{
"index": 0,
"operation": "json-to-csv",
"input": "[{\"name\":\"Alice\",\"age\":30}]",
"output": "name,age\nAlice,30",
"success": true
}
```
#### Error Output
```json
{
"index": 1,
"operation": "csv-to-json",
"input": "",
"output": null,
"success": false,
"error": "Data content is required"
}
```
### Pricing
- **$0.003 per conversion** (per item in the input array)
- No free tier
- Pay-per-event billing via Apify platform
### Related Tools by manchittlab
- [Markdown & HTML Converter](https://apify.com/manchittlab/markdown-html) -- Bidirectional Markdown/HTML conversion
- [All Tools](https://apify.com/manchittlab) -- Browse all tools by manchittlab
# Actor input Schema
## `items` (type: `array`):
Array of items to convert. Each item needs `data` (string content or URL), `operation`, and optional `options`.
## Actor input object example
```json
{
"items": [
{
"data": "[{\"name\":\"Alice\",\"age\":30},{\"name\":\"Bob\",\"age\":25}]",
"operation": "json-to-csv"
}
]
}
```
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"items": [
{
"data": "[{\"name\":\"Alice\",\"age\":30},{\"name\":\"Bob\",\"age\":25}]",
"operation": "json-to-csv"
}
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("accurate_pouch/data-converter").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs
```
## Python example
```python
from apify_client import ApifyClient
# Initialize the ApifyClient with your Apify API token
# Replace '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = { "items": [{
"data": "[{\"name\":\"Alice\",\"age\":30},{\"name\":\"Bob\",\"age\":25}]",
"operation": "json-to-csv",
}] }
# Run the Actor and wait for it to finish
run = client.actor("accurate_pouch/data-converter").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"items": [
{
"data": "[{\\"name\\":\\"Alice\\",\\"age\\":30},{\\"name\\":\\"Bob\\",\\"age\\":25}]",
"operation": "json-to-csv"
}
]
}' |
apify call accurate_pouch/data-converter --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=accurate_pouch/data-converter",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Data Converter — JSON, CSV & XML",
"description": "Convert between JSON, CSV, and XML formats in bulk. JSON to CSV, CSV to JSON, JSON to XML, XML to JSON. Handles quoted fields, nested objects. $0.003/conversion.",
"version": "0.1",
"x-build-id": "g6RN9PbnOlON67hbs"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/accurate_pouch~data-converter/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-accurate_pouch-data-converter",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/accurate_pouch~data-converter/runs": {
"post": {
"operationId": "runs-sync-accurate_pouch-data-converter",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/accurate_pouch~data-converter/run-sync": {
"post": {
"operationId": "run-sync-accurate_pouch-data-converter",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"required": [
"items"
],
"properties": {
"items": {
"title": "Items",
"type": "array",
"description": "Array of items to convert. Each item needs `data` (string content or URL), `operation`, and optional `options`.",
"items": {
"type": "object",
"properties": {
"data": {
"title": "Data",
"type": "string",
"description": "The data string to convert, or a URL to fetch data from"
},
"operation": {
"title": "Operation",
"type": "string",
"enum": [
"json-to-csv",
"csv-to-json",
"json-to-xml",
"xml-to-json"
],
"description": "Conversion operation"
},
"options": {
"title": "Options",
"type": "object",
"description": "Optional conversion settings",
"properties": {
"delimiter": {
"title": "Delimiter",
"type": "string",
"description": "CSV delimiter character (default: comma)"
},
"rootElement": {
"title": "Root Element",
"type": "string",
"description": "XML root element name (default: root)"
},
"itemElement": {
"title": "Item Element",
"type": "string",
"description": "XML item element name (default: item)"
},
"includeHeader": {
"title": "Include Header",
"type": "boolean",
"description": "Include header row in CSV output (default: true)"
}
}
}
},
"required": [
"data",
"operation"
]
}
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```