# Document to Markdown Converter — AI-Ready Format (`openclawai/document-to-markdown-converter`) Actor

Convert 19+ document formats to clean Markdown for AI/LLM training, RAG pipelines, and content migration. Supports PDF, Word, PowerPoint, Excel, Wikipedia, YouTube, images, audio, CSV, Jupyter notebooks, and more. Bypass IP blocks with residential proxies. AI-powered image descriptions via GPT-4o.

- **URL**: https://apify.com/openclawai/document-to-markdown-converter.md
- **Developed by:** [Pika Choo](https://apify.com/openclawai) (community)
- **Categories:** AI, Automation, Developer tools
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 document converteds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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

## What's an Apify Actor?

Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).

If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).


# README

## Document to Markdown Converter

Convert any document to clean, AI-ready Markdown format. Perfect for preparing documents for AI processing, content management systems, or web publishing.

### What It Does

This actor takes your documents and converts them into clean, formatted Markdown text. Upload any file type - PDFs, Word documents, PowerPoints, images, audio files, or even YouTube URLs - and get back structured Markdown that's ready to use.

### Features

- **Universal Format Support** - Handles 10+ document types including PDF, DOCX, PPTX, XLSX, images, audio, HTML, and more
- **Batch Processing** - Convert multiple documents at once
- **AI Image Descriptions** - Automatically generate descriptions for images in your documents using GPT-4
- **Smart Document Analysis** - Extract text from complex layouts with Azure Document Intelligence
- **Multiple Output Formats** - Get your content as Markdown, JSON, or plain text
- **Reliable Processing** - Built-in error handling ensures your conversions complete successfully

### Supported File Types

| Category | Formats |
|----------|---------|
| Documents | PDF, DOCX, PPTX, XLSX, XLS, EPub |
| Web | HTML, YouTube URLs |
| Images | PNG, JPG, GIF |
| Audio | MP3, WAV |
| Data | CSV, JSON, XML |
| Archives | ZIP |

### Use Cases

- Prepare documents for AI processing and RAG systems
- Convert legacy documents to modern formats
- Extract content from PDFs for web publishing
- Batch process document archives
- Generate searchable text from scanned documents
- Create markdown documentation from various sources

# Actor input Schema

## `action` (type: `string`):

**What operation to perform**

• **Convert Single Document** - Convert one document to Markdown
• **Batch Convert** - Convert multiple documents
• **Convert with LLM** - Use AI to describe images in documents (requires OpenAI API key)
## `documentUrls` (type: `array`):

**URLs of documents to convert (19 formats supported)**

📄 **Office Docs**: PDF, DOCX, PPTX, XLSX, XLS (Excel 97-2003)
🖼️ **Images**: PNG, JPG, GIF, BMP (with EXIF + OCR)
🎵 **Audio**: MP3, WAV (speech transcription)
🌐 **Web**: HTML, YouTube URLs, RSS feeds, Wikipedia pages, Bing search
📊 **Data**: CSV, JSON, XML, Jupyter notebooks (.ipynb)
📧 **Email**: Outlook messages (.msg)
📦 **Archives**: ZIP, EPub
📝 **Text**: TXT, Markdown

Examples:
• `https://example.com/document.pdf`
• `https://example.com/presentation.pptx`
• `https://www.youtube.com/watch?v=VIDEO_ID`
• `https://en.wikipedia.org/wiki/Python_(programming_language)`
• `https://example.com/notebook.ipynb`
## `outputFormats` (type: `array`):

**Which formats to generate**

• **Markdown** - Clean .md format (recommended for LLMs)
• **JSON** - Structured data with metadata
• **Text** - Plain text only
## `enableLLMImageDescription` (type: `boolean`):

**Use OpenAI GPT-4o to describe images in documents**

✅ Enabled: Images become text descriptions (great for PDFs/PPTXwith charts/diagrams)
❌ Disabled: Images show as `[Image]` placeholders

⚠️ Requires OpenAI API key (set in `openaiApiKey` field)
💰 Costs: ~$0.01 per image
## `openaiApiKey` (type: `string`):

**Your OpenAI API key for image descriptions**

Get one at: https://platform.openai.com/api-keys

🔒 Stored securely, never logged
## `llmModel` (type: `string`):

**Which OpenAI model to use for image descriptions**
## `customLLMPrompt` (type: `string`):

**Optional custom prompt for image descriptions**

Default: "Describe this image in detail"

Example custom prompt:
`Extract all text and describe the chart. Focus on numbers and trends.`
## `enableOCR` (type: `boolean`):

**Extract text from images using OCR**

Useful for:
• Scanned documents
• Screenshots
• Image-based PDFs

⚠️ Requires `enableLLMImageDescription` to be enabled
## `enableAzureDocIntel` (type: `boolean`):

**Use Microsoft Azure Document Intelligence for PDF conversion**

Pros:
• More accurate table extraction
• Better layout detection
• Enterprise-grade OCR

Cons:
• Requires Azure credentials
• Slower than local conversion

⚠️ Requires Azure endpoint and key
## `azureDocIntelEndpoint` (type: `string`):

**Your Azure Document Intelligence endpoint**

Example: `https://YOUR-RESOURCE.cognitiveservices.azure.com/`
## `azureDocIntelKey` (type: `string`):

**Your Azure Document Intelligence API key**
## `maxDocuments` (type: `integer`):

**Maximum number of documents to process**

🟢 Quick test: 1-5
🟡 Normal: 5-50
🔴 Large batch: 50-500
## `timeout` (type: `integer`):

**Maximum time to process each document**

Default: 300 seconds (5 minutes)

Increase for large files or slow networks
## `proxyConfiguration` (type: `object`):

**Proxy settings for downloading documents**

✅ **RESIDENTIAL proxies recommended** to bypass IP blocks (Wikipedia, universities, etc.)

Benefits:
• Bypass IP blocking (Wikipedia, Harvard, etc.)
• Avoid geo-restrictions
• Better reliability

## Actor input object example

```json
{
  "action": "convert_document",
  "outputFormats": [
    "markdown",
    "json"
  ],
  "enableLLMImageDescription": false,
  "llmModel": "gpt-4o",
  "enableOCR": false,
  "enableAzureDocIntel": false,
  "maxDocuments": 10,
  "timeout": 300,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
````

# Actor output Schema

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

Link to all converted documents in the dataset

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("openclawai/document-to-markdown-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 = {}

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

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

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

```

## CLI example

```bash
echo '{}' |
apify call openclawai/document-to-markdown-converter --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=openclawai/document-to-markdown-converter",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Document to Markdown Converter — AI-Ready Format",
        "description": "Convert 19+ document formats to clean Markdown for AI/LLM training, RAG pipelines, and content migration. Supports PDF, Word, PowerPoint, Excel, Wikipedia, YouTube, images, audio, CSV, Jupyter notebooks, and more. Bypass IP blocks with residential proxies. AI-powered image descriptions via GPT-4o.",
        "version": "1.0",
        "x-build-id": "T216objX3PUIlVg3k"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/openclawai~document-to-markdown-converter/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-openclawai-document-to-markdown-converter",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/openclawai~document-to-markdown-converter/runs": {
            "post": {
                "operationId": "runs-sync-openclawai-document-to-markdown-converter",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/openclawai~document-to-markdown-converter/run-sync": {
            "post": {
                "operationId": "run-sync-openclawai-document-to-markdown-converter",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "required": [
                    "documentUrls"
                ],
                "properties": {
                    "action": {
                        "title": "Action",
                        "enum": [
                            "convert_document",
                            "batch_convert",
                            "convert_with_llm"
                        ],
                        "type": "string",
                        "description": "**What operation to perform**\n\n• **Convert Single Document** - Convert one document to Markdown\n• **Batch Convert** - Convert multiple documents\n• **Convert with LLM** - Use AI to describe images in documents (requires OpenAI API key)",
                        "default": "convert_document"
                    },
                    "documentUrls": {
                        "title": "Document URL(s)",
                        "type": "array",
                        "description": "**URLs of documents to convert (19 formats supported)**\n\n📄 **Office Docs**: PDF, DOCX, PPTX, XLSX, XLS (Excel 97-2003)\n🖼️ **Images**: PNG, JPG, GIF, BMP (with EXIF + OCR)\n🎵 **Audio**: MP3, WAV (speech transcription)\n🌐 **Web**: HTML, YouTube URLs, RSS feeds, Wikipedia pages, Bing search\n📊 **Data**: CSV, JSON, XML, Jupyter notebooks (.ipynb)\n📧 **Email**: Outlook messages (.msg)\n📦 **Archives**: ZIP, EPub\n📝 **Text**: TXT, Markdown\n\nExamples:\n• `https://example.com/document.pdf`\n• `https://example.com/presentation.pptx`\n• `https://www.youtube.com/watch?v=VIDEO_ID`\n• `https://en.wikipedia.org/wiki/Python_(programming_language)`\n• `https://example.com/notebook.ipynb`",
                        "items": {
                            "type": "string"
                        }
                    },
                    "outputFormats": {
                        "title": "Output Formats",
                        "uniqueItems": true,
                        "type": "array",
                        "description": "**Which formats to generate**\n\n• **Markdown** - Clean .md format (recommended for LLMs)\n• **JSON** - Structured data with metadata\n• **Text** - Plain text only",
                        "items": {
                            "type": "string",
                            "enum": [
                                "markdown",
                                "json",
                                "text"
                            ]
                        },
                        "default": [
                            "markdown",
                            "json"
                        ]
                    },
                    "enableLLMImageDescription": {
                        "title": "Enable AI Image Descriptions",
                        "type": "boolean",
                        "description": "**Use OpenAI GPT-4o to describe images in documents**\n\n✅ Enabled: Images become text descriptions (great for PDFs/PPTXwith charts/diagrams)\n❌ Disabled: Images show as `[Image]` placeholders\n\n⚠️ Requires OpenAI API key (set in `openaiApiKey` field)\n💰 Costs: ~$0.01 per image",
                        "default": false
                    },
                    "openaiApiKey": {
                        "title": "OpenAI API Key",
                        "type": "string",
                        "description": "**Your OpenAI API key for image descriptions**\n\nGet one at: https://platform.openai.com/api-keys\n\n🔒 Stored securely, never logged"
                    },
                    "llmModel": {
                        "title": "LLM Model",
                        "enum": [
                            "gpt-4o",
                            "gpt-4o-mini",
                            "gpt-4-turbo"
                        ],
                        "type": "string",
                        "description": "**Which OpenAI model to use for image descriptions**",
                        "default": "gpt-4o"
                    },
                    "customLLMPrompt": {
                        "title": "Custom LLM Prompt",
                        "type": "string",
                        "description": "**Optional custom prompt for image descriptions**\n\nDefault: \"Describe this image in detail\"\n\nExample custom prompt:\n`Extract all text and describe the chart. Focus on numbers and trends.`"
                    },
                    "enableOCR": {
                        "title": "Enable OCR (Images)",
                        "type": "boolean",
                        "description": "**Extract text from images using OCR**\n\nUseful for:\n• Scanned documents\n• Screenshots\n• Image-based PDFs\n\n⚠️ Requires `enableLLMImageDescription` to be enabled",
                        "default": false
                    },
                    "enableAzureDocIntel": {
                        "title": "Use Azure Document Intelligence",
                        "type": "boolean",
                        "description": "**Use Microsoft Azure Document Intelligence for PDF conversion**\n\nPros:\n• More accurate table extraction\n• Better layout detection\n• Enterprise-grade OCR\n\nCons:\n• Requires Azure credentials\n• Slower than local conversion\n\n⚠️ Requires Azure endpoint and key",
                        "default": false
                    },
                    "azureDocIntelEndpoint": {
                        "title": "Azure Document Intelligence Endpoint",
                        "type": "string",
                        "description": "**Your Azure Document Intelligence endpoint**\n\nExample: `https://YOUR-RESOURCE.cognitiveservices.azure.com/`"
                    },
                    "azureDocIntelKey": {
                        "title": "Azure Document Intelligence Key",
                        "type": "string",
                        "description": "**Your Azure Document Intelligence API key**"
                    },
                    "maxDocuments": {
                        "title": "Max Documents",
                        "minimum": 1,
                        "maximum": 1000,
                        "type": "integer",
                        "description": "**Maximum number of documents to process**\n\n🟢 Quick test: 1-5\n🟡 Normal: 5-50\n🔴 Large batch: 50-500",
                        "default": 10
                    },
                    "timeout": {
                        "title": "Timeout (seconds)",
                        "minimum": 30,
                        "maximum": 3600,
                        "type": "integer",
                        "description": "**Maximum time to process each document**\n\nDefault: 300 seconds (5 minutes)\n\nIncrease for large files or slow networks",
                        "default": 300
                    },
                    "proxyConfiguration": {
                        "title": "Proxy Configuration",
                        "type": "object",
                        "description": "**Proxy settings for downloading documents**\n\n✅ **RESIDENTIAL proxies recommended** to bypass IP blocks (Wikipedia, universities, etc.)\n\nBenefits:\n• Bypass IP blocking (Wikipedia, Harvard, etc.)\n• Avoid geo-restrictions\n• Better reliability",
                        "default": {
                            "useApifyProxy": true,
                            "apifyProxyGroups": [
                                "RESIDENTIAL"
                            ]
                        }
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```