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Data Format Converter

hipersoft/data-format-converter

Convert structured data between JSON, YAML, XML, TOML, NDJSON and CSV. Paste raw data or point at a file URL, auto-detect the source format, and get a clean converted document plus a dataset row.

Total users

2

Monthly users

1

Total runs

76

Per file converted

$0.003

Last rebuilt

Oct 26, 2026

Overview

Convert structured data between JSON, YAML, XML, TOML, NDJSON and CSV — paste it in or point at a file URL, and get a clean converted document back.

What it does

  • Converts between JSON, YAML, XML, TOML, NDJSON and CSV in any direction.
  • Auto-detects the source format so you don't have to specify it.
  • Accepts raw text or a file URL to fetch and convert.
  • Runs a batch of many conversions in a single run.
  • Returns the converted document as a downloadable file plus a tidy dataset row for each conversion.

Use cases

  • No-code pipelines (n8n / Make / Zapier) — run this from the Apify node, then pass the converted output straight to the next step (a webhook, a database, a file store).
  • APIs & integrations — turn a YAML config or an XML feed into JSON your app can consume.
  • Data prep — flatten JSON or NDJSON into CSV for spreadsheets and BI tools.
  • Migrations — move config or fixtures between formats when switching tools.

Input

{
  "data": "{\"name\":\"Ada\",\"roles\":[\"admin\",\"dev\"]}",
  "from": "auto",
  "to": "yaml"
}

Batch mode:

{
  "items": [
    { "data": "a,b\n1,2", "from": "csv", "to": "json" },
    { "data": "name: Ada", "from": "yaml", "to": "xml" }
  ]
}
Field Type Description
data string Raw source document to convert. Provide this or fileUrl.
fileUrl string Public URL of a file to fetch and convert (used when data is empty).
from string Source format: auto, json, yaml, xml, toml, ndjson, csv.
to string Target format: json, yaml, xml, toml, ndjson, csv.
items array Optional batch of { data, from, to } objects for many conversions in one run.

Output

Each converted document is saved to the run's key-value store and a row is pushed to the dataset.

{
  "from": "json",
  "to": "yaml",
  "bytes": 34,
  "resultUrl": "https://api.apify.com/v2/key-value-stores/.../records/converted-0001.yaml",
  "ok": true
}

Output schema

Field Type Description
from string Detected or specified source format.
to string Target format the document was converted to.
bytes integer Size of the converted document in bytes.
resultUrl string Direct link to download the converted file.
ok boolean Whether the conversion succeeded.

FAQ

Which formats are supported? JSON, YAML, XML, TOML, NDJSON and CSV — in any direction.

Do I have to set the input format? No. Leave from on auto and it is detected for you.

Can I convert many documents at once? Yes — pass an items array and each is converted and saved separately.

Can I use it in n8n? Yes. Trigger it from the Apify node and pass the output to the next step. See Apify integrations and the Apify API.

Notes

Original clean-room implementation.

Input

FieldTypeDescription
data
Data
stringRaw source document to convert, pasted as text. Provide this OR a File URL. Ignored when Items is used.
fileUrl
File URL
stringPublic URL of a file to fetch and convert. Used when Data is empty. Ignored when Items is used.
from
From format
string · auto, json, yaml, xml, toml, ndjson…Source format of the input. Choose Auto-detect to identify it automatically.
Default: "auto"
to
To format
string · json, yaml, xml, toml, ndjson, csvTarget format to convert the input into.
Default: "yaml"
items
Batch items
arrayOptional batch: an array of objects like {"data":"...","from":"json","to":"yaml"} to run many conversions in one run. Overrides the single Data / File URL fields.

API

curl -X POST "https://api.apify.com/v2/acts/hipersoft~data-format-converter/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{}'

Pricing

EventPricePaid plans from
File Converted
Charged per file/document converted between formats.
$0.003$0.0015

You pay only for what the run returns. Set a maximum cost per run and it stops cleanly at that limit.

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