Markdown Table Generator

Generate Markdown tables from structured data.

Endpoint

POST https://www.acrewity.com/api/services/execute

Authentication

Include your API key in the Authorization header:

Authorization: Bearer YOUR_API_KEY

n8n Integration

This service is also available via our n8n community node: @acrewity/n8n-nodes-acrewity

Operations

Generate Markdown Table

Generate a markdown table from JSON, CSV, or HTML data

Operation ID: generate_table

Parameters

Parameter	Type	Required	Default	Description
`data`	string/array	Yes	-	Table data (JSON array, CSV string, or HTML table)
`inputType`	string	No	`json`	Input data format: `json`, `csv`, `html`
`alignment`	object/array	No	-	Column alignment. Object format: `{"Price": "right"}` or array format: `["left", "right", "center"]`
`headers`	array	No	-	Custom header names to override detected headers

Example Request

Generate Table from JSON Array:

{
  "service": "markdown-table-generator",
  "operation": "generate_table",
  "parameters": {
    "data": [
      { "Product": "Laptop", "Price": 999.99, "Stock": 50 },
      { "Product": "Mouse", "Price": 29.99, "Stock": 200 },
      { "Product": "Keyboard", "Price": 79.99, "Stock": 150 }
    ],
    "inputType": "json",
    "alignment": { "Price": "right", "Stock": "center" }
  }
}

Generate Table from CSV:

{
  "service": "markdown-table-generator",
  "operation": "generate_table",
  "parameters": {
    "data": "Name,Email,Role\nJohn Doe,john@example.com,Admin\nJane Smith,jane@example.com,Editor\nBob Wilson,bob@example.com,Viewer",
    "inputType": "csv"
  }
}

Generate Table from HTML:

{
  "service": "markdown-table-generator",
  "operation": "generate_table",
  "parameters": {
    "data": "<table><thead><tr><th>City</th><th>Population</th></tr></thead><tbody><tr><td>New York</td><td>8.3M</td></tr><tr><td>Los Angeles</td><td>4M</td></tr></tbody></table>",
    "inputType": "html"
  }
}

Generate Table with Custom Headers:

{
  "service": "markdown-table-generator",
  "operation": "generate_table",
  "parameters": {
    "data": [
      { "n": "Widget A", "p": 19.99, "q": 100 },
      { "n": "Widget B", "p": 24.99, "q": 75 }
    ],
    "inputType": "json",
    "headers": ["Item Name", "Unit Price", "Quantity"]
  }
}

Example Response

{
  "success": true,
  "result": {
    "data": {
      "markdown_table": "| Product | Price | Stock |\n|---|---:|:---:|\n| Laptop | 999.99 | 50 |\n| Mouse | 29.99 | 200 |\n| Keyboard | 79.99 | 150 |",
      "markdown": "| Product | Price | Stock |\n|---|---:|:---:|\n| Laptop | 999.99 | 50 |\n| Mouse | 29.99 | 200 |\n| Keyboard | 79.99 | 150 |",
      "row_count": 3,
      "column_count": 3,
      "headers": ["Product", "Price", "Stock"],
      "input_type": "json"
    }
  },
  "credits_used": 1
}

More Examples

See Data Transformation Examples for complete workflow examples including report generation, documentation automation, and data presentation.