# Excel Converter — XLSX to CSV & JSON (and back) (`hipersoft/excel-converter`) Actor

Convert Excel workbooks to CSV or JSON (all sheets or one), or build a styled XLSX from JSON. The spreadsheet glue for no-code and n8n automation pipelines.

- **URL**: https://apify.com/hipersoft/excel-converter.md
- **Developed by:** [Hipersoft](https://apify.com/hipersoft) (community)
- **Categories:** Developer tools, Other
- **Features:** Limited permissions
- **Stats:** 12 total users, 3 monthly users, 94.4% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.0025 / file converted

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Excel Converter — XLSX to CSV & JSON (and back)

**Convert Excel workbooks to CSV or JSON — or build a styled XLSX from JSON.** The spreadsheet glue for no-code and n8n / Make automation: get spreadsheet data into the shape your workflow, API or database expects.

![Excel Converter input — configure the options in the Apify Console](https://api.apify.com/v2/key-value-stores/SUfvnaFLd9z9eBCtV/records/excel-converter-input.png)

### What it does

- **Excel → JSON** or **Excel → CSV** (all sheets or a chosen one).
- **JSON → Excel** — build a formatted `.xlsx` from an array of objects.
- Uses the header row as keys; handles multiple sheets.

### Use cases

- **Automation** — turn an uploaded spreadsheet into JSON for the next workflow step.
- **Reporting** — export workflow/scraper data to a clean Excel file.
- **Data prep** — move between XLSX, CSV and JSON.

### Input

```json
{ "mode": "excel-to-json", "fileUrl": "https://example.com/data.xlsx" }
```

| Field | Type | Description |
|---|---|---|
| `mode` | string | `excel-to-json`, `excel-to-csv`, `json-to-excel`. |
| `fileUrl` | string | .xlsx file to read (Excel modes). |
| `jsonText` | string | JSON array (JSON → Excel). |
| `sheet` | string | One sheet, or blank for all. |
| `outputFormat` | string | `json` or `csv` when reading Excel. |

### Output

![Excel Converter output — the results as a clean dataset](https://api.apify.com/v2/key-value-stores/SUfvnaFLd9z9eBCtV/records/excel-converter-output.png)

One row per sheet, with the converted file in the key-value store.

```json
{ "sheet": "Sheet1", "rows": 120, "columns": 6, "resultUrl": "https://api.apify.com/v2/key-value-stores/.../records/Sheet1.json" }
```

#### Output schema

| Field | Type | Description |
|---|---|---|
| `sheet` | string | Sheet name. |
| `rows` | integer | Rows converted. |
| `resultUrl` | string (URL) | Link to the converted file. |

### Related Actors

Explore more data tools from the same author:

- [CSV to JSON Converter — Bulk](https://apify.com/hipersoft/csv-to-json)
- [Data Format Converter — JSON YAML XML TOML CSV](https://apify.com/hipersoft/data-format-converter)
- [Mock Data Generator — Fake Records as CSV/JSON](https://apify.com/hipersoft/mock-data-generator)
- [EML Parser — Email to JSON (MIME)](https://apify.com/hipersoft/eml-parser)

Plug the results straight into your stack with [Make](https://apify.com/integrations/make), [Zapier](https://apify.com/integrations/zapier) or any of Apify's [integrations](https://apify.com/integrations).

### FAQ

**Multiple sheets?** Yes — leave `sheet` blank to convert them all (one file each).

**Can I use it in n8n?** Yes — run it from the Apify node, or via [integrations](https://apify.com/integrations) and the [Apify API](https://docs.apify.com/api/v2).

### Notes

Original clean-room implementation.

# Actor input Schema

## `mode` (type: `string`):

Which conversion to run.

## `fileUrl` (type: `string`):

Link to an .xlsx file (for Excel → JSON/CSV).

## `jsonText` (type: `string`):

A JSON array of objects (for JSON → Excel).

## `sheet` (type: `string`):

Convert only this sheet (Excel → …), or name the sheet (JSON → Excel). Blank = all sheets.

## `outputFormat` (type: `string`):

Output format when reading Excel (overridden by Mode).

## Actor input object example

```json
{
  "mode": "json-to-excel",
  "jsonText": "[{\"name\":\"Ada\",\"role\":\"Engineer\"},{\"name\":\"Alan\",\"role\":\"Scientist\"}]",
  "outputFormat": "json"
}
```

# Actor output Schema

## `results` (type: `string`):

The results as dataset items.

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "mode": "json-to-excel",
    "jsonText": "[{\"name\":\"Ada\",\"role\":\"Engineer\"},{\"name\":\"Alan\",\"role\":\"Scientist\"}]"
};

// Run the Actor and wait for it to finish
const run = await client.actor("hipersoft/excel-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "mode": "json-to-excel",
    "jsonText": "[{\"name\":\"Ada\",\"role\":\"Engineer\"},{\"name\":\"Alan\",\"role\":\"Scientist\"}]",
}

# Run the Actor and wait for it to finish
run = client.actor("hipersoft/excel-converter").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "mode": "json-to-excel",
  "jsonText": "[{\\"name\\":\\"Ada\\",\\"role\\":\\"Engineer\\"},{\\"name\\":\\"Alan\\",\\"role\\":\\"Scientist\\"}]"
}' |
apify call hipersoft/excel-converter --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,hipersoft/excel-converter"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/cZBUO4pNaSKgyDlpp/builds/3A7c0d5OUy2Defh7h/openapi.json