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n8n-nodes-extract-monster

v1.0.3

Published

AI-powered data extraction from PDFs, images, documents, audio, and video. Extract invoices, receipts, forms, tables, and custom data with flexible JSON schemas.

Readme

n8n-nodes-extract-monster

This is an n8n community node that lets you use Extract Monster in your n8n workflows.

Extract Monster is a powerful API for extracting structured data from documents, images, and text using advanced AI models.

n8n is a fair-code licensed workflow automation platform.

Installation
Operations
Credentials
Compatibility
Usage
Resources

Installation

Follow the installation guide in the n8n community nodes documentation.

Community Nodes (Recommended)

  1. Go to Settings > Community Nodes
  2. Select Install
  3. Enter n8n-nodes-extract-monster in Enter npm package name
  4. Agree to the risks of using community nodes
  5. Select Install

Manual Installation

To install manually, navigate to your n8n installation folder and run:

npm install n8n-nodes-extract-monster

Operations

Extract From File

Extract structured data from files including:

  • PDF documents
  • Images (PNG, JPG, etc.)
  • Word documents
  • Spreadsheets
  • And more

Extract From Text

Extract structured data from plain text input.

Both operations support optional JSON schemas to define the exact structure of data you want to extract.

Credentials

To use this node, you need an Extract Monster API key:

  1. Sign up at extract.monster
  2. Go to your dashboard
  3. Generate a new API key
  4. Copy the key (it starts with em_)

Then in n8n:

  1. Go to Credentials
  2. Create new Extract Monster API credentials
  3. Paste your API key

Compatibility

  • Minimum n8n version: 0.196.0
  • Tested against n8n version: 1.0.0+

Usage

Basic File Extraction

  1. Add a file input node (e.g., HTTP Request, Google Drive, etc.)
  2. Connect it to the Extract Monster node
  3. Select Extract From File operation
  4. Configure credentials
  5. Execute the workflow

With JSON Schema

Define exactly what data you want to extract:

{
  "invoice_number": {"type": "string"},
  "date": {"type": "string"},
  "total": {"type": "number"},
  "items": {
    "type": "array",
    "items": {
      "type": "object",
      "properties": {
        "description": {"type": "string"},
        "quantity": {"type": "number"},
        "price": {"type": "number"}
      }
    }
  }
}

Text Extraction Example

  1. Add an input node with text data
  2. Connect to Extract Monster node
  3. Select Extract From Text operation
  4. Enter or map the text field
  5. Optionally add a schema to define structure
  6. Execute

Resources

Support

For issues with the n8n node:

For Extract Monster API support:

License

MIT