# Excel to JSON: Convert XLSX Sheets to Structured Rows

**Use case:** 

Convert an Excel workbook (.xlsx) to JSON blocks: each sheet becomes a heading plus table blocks whose rows are lists of cells, with a Markdown copy. Blank cells stay empty and dates come out as ISO dates. The rows are in the blocks field of the JSON export; the table view shows the Markdown.

## Input

```json
{
  "documentUrls": [
    "https://quarrywise.com/samples/budget.xlsx"
  ],
  "outputFormat": "blocks",
  "chunkSize": 500,
  "chunkOverlap": 50,
  "chunkHeadingContext": true,
  "maxPages": 300,
  "removeHeadersFooters": true,
  "pageMarkers": false,
  "includeSpeakerNotes": true,
  "includeHiddenSheets": false,
  "maxRowsPerSheet": 5000,
  "saveMarkdownFiles": false,
  "maxFileSizeMb": 50,
  "maxDocuments": 100
}
```

## Output

```json
{
  "input_index": {
    "label": "#",
    "format": "integer"
  },
  "file_name": {
    "label": "File",
    "format": "string"
  },
  "status": {
    "label": "Status",
    "format": "string"
  },
  "format": {
    "label": "Format",
    "format": "string"
  },
  "title": {
    "label": "Title",
    "format": "string"
  },
  "pages_total": {
    "label": "Pages",
    "format": "integer"
  },
  "pages_converted": {
    "label": "Converted",
    "format": "integer"
  },
  "billable_pages": {
    "label": "Billed pages",
    "format": "integer"
  },
  "pages_needing_ocr": {
    "label": "Needs OCR",
    "format": "array"
  },
  "markdown": {
    "label": "Markdown",
    "format": "string"
  },
  "error_message": {
    "label": "Message",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The PDF to Markdown & RAG Chunks: Word, Excel, PowerPoint Actor is ready to run with the inputs already set for "Excel to JSON: Convert XLSX Sheets to Structured Rows". [Sign up or log in](https://console.apify.com/create-task-from-example/DlpcmJHrHWv36K2EA) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Excel to JSON: Convert XLSX Sheets to Structured Rows" task

The PDF to Markdown & RAG Chunks: Word, Excel, PowerPoint Actor will start running based on the input automatically. You can also change all the input fields, like document links, output, and more, to match your specific use case.

### 3. Receive the "Excel to JSON: Convert XLSX Sheets to Structured Rows" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as #, file, status, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Excel to JSON: Convert XLSX Sheets to Structured Rows" task via API](https://apify.com/quarrywise/pdf-to-markdown-rag.md).

## About this Actor

This example demonstrates how to use [PDF to Markdown & RAG Chunks: Word, Excel, PowerPoint](https://apify.com/quarrywise/pdf-to-markdown-rag.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/quarrywise/pdf-to-markdown-rag.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/quarrywise/pdf-to-markdown-rag.md

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`).