# Doxon (`mr.data_scientist/doxon`) Actor

Discover anyone's digital presence across 3000+ platforms in seconds.

Doxon is a powerful OSINT (Open Source Intelligence) tool that searches for usernames across thousands of websites, social media platforms, and online services.

- **URL**: https://apify.com/mr.data_scientist/doxon.md
- **Developed by:** [Ali Hassan](https://apify.com/mr.data_scientist) (community)
- **Categories:** Automation, Social media, Lead generation
- **Features:** Limited permissions
- **Stats:** 249 total users, 4 monthly users, 100.0% runs succeeded, 3 bookmarks
- **User rating**: 1.00 out of 5 stars

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

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

## 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

## 🔍 Doxon - Digital Footprint Search

**Discover anyone's digital presence across 3000+ platforms in seconds.**

Doxon is a powerful OSINT (Open Source Intelligence) tool that searches for usernames across thousands of websites, social media platforms, and online services.

### ✨ Features

- **3000+ Sites Database** - Comprehensive coverage of social media, gaming, forums, and more
- **Configurable Scan Depth** - Quick (100 sites), Standard (500 sites), Deep (1500 sites), or Extreme (2500+ sites)
- **Profile Data Extraction** - Pulls available public information (bio, followers, etc.)
- **7 Export Formats** - JSON, CSV, HTML, PDF, TXT, Graph, XMind
- **Category Filtering** - Focus on specific platforms (social, gaming, crypto, etc.)
- **Proxy Support** - Built-in proxy configuration for enhanced privacy
- **Fast & Concurrent** - Async architecture for blazing fast searches
- **Interactive Graph** - Network visualization of connected accounts
- **Mind Maps** - XMind format for visual analysis

### 📁 Export Formats

| Format          | Description                       | Use Case                         |
| --------------- | --------------------------------- | -------------------------------- |
| **JSON**  | Machine-readable structured data  | API integration, data processing |
| **CSV**   | Spreadsheet format                | Excel/Google Sheets analysis     |
| **HTML**  | Beautiful web report              | Sharing, presentations           |
| **PDF**   | Printable document                | Reports, documentation           |
| **TXT**   | Plain text list                   | Quick reference                  |
| **Graph** | Interactive network visualization | Relationship mapping             |
| **XMind** | Mind map format                   | Visual analysis, brainstorming   |

### 🚀 Quick Start

1. Go to the Doxon Actor on Apify
2. Enter a username to search
3. Select scan depth and export formats
4. Click "Start"
5. Download results from the Key-Value Store

### 📥 Input Configuration

| Parameter           | Type    | Default               | Description                 |
| ------------------- | ------- | --------------------- | --------------------------- |
| `searchQuery`     | string  | required              | Username or email to search |
| `searchType`      | string  | "auto"                | auto, username, or email    |
| `scanDepth`       | string  | "standard"            | quick, standard, deep, or extreme |
| `categories`      | array   | \[]                    | Filter by categories        |
| `extractData`     | boolean | true                  | Extract profile data        |
| `recursiveSearch` | boolean | false                 | Search for linked usernames |
| `exportFormats`   | array   | \["json","csv","html"] | Output formats              |
| `reportSorting`   | string  | "default"             | Sort by data points         |
| `timeout`         | number  | 15                    | Request timeout in seconds  |
| `maxConcurrency`  | number  | 50                    | Max concurrent requests     |
| `retries`         | number  | 1                     | Retry failed requests       |

#### Example Input

```json
{
    "searchQuery": "johndoe",
    "searchType": "auto",
    "scanDepth": "deep",
    "categories": ["social", "gaming", "coding"],
    "extractData": true,
    "recursiveSearch": false,
    "exportFormats": ["json", "csv", "html", "pdf", "graph"],
    "timeout": 15
}
```

### 📤 Output Format

#### Dataset Output

```json
{
    "search_metadata": {
        "query": "johndoe",
        "type": "username",
        "scan_depth": "deep",
        "sites_checked": 1500,
        "duration_seconds": 180.5,
        "timestamp": "2024-01-15T10:30:00Z",
        "export_formats": ["json", "csv", "html", "pdf", "graph"]
    },
    "summary": {
        "accounts_found": 87,
        "categories": {
            "social": 25,
            "gaming": 18,
            "coding": 15,
            "forum": 12,
            "other": 17
        },
        "with_profile_data": 42
    },
    "accounts": [...],
    "files": {
        "json": "results.json",
        "csv": "results.csv",
        "html": "report.html",
        "pdf": "report.pdf",
        "graph": "graph.html"
    }
}
```

#### Key-Value Store Files

After running, download your files from the Key-Value Store:

- `results.json` - Full JSON data
- `results.csv` - Spreadsheet format
- `report.html` - Beautiful web report
- `report.pdf` - Printable PDF document
- `results.txt` - Plain text list
- `graph.html` - Interactive network graph
- `mindmap.xmind` - XMind mind map

### Categories

| Category | Tag          | Platforms                          |
| -------- | ------------ | ---------------------------------- |
| Social   | `social`   | Twitter, Facebook, Instagram, etc. |
| Gaming   | `gaming`   | Steam, Xbox, PlayStation, etc.     |
| Video    | `video`    | YouTube, TikTok, Twitch, etc.      |
| Photo    | `photo`    | Flickr, 500px, etc.                |
| Dating   | `dating`   | Dating apps and sites              |
| Forum    | `forum`    | Reddit, forums, communities        |
| Blog     | `blog`     | WordPress, Medium, etc.            |
| News     | `news`     | News sites with profiles           |
| Finance  | `finance`  | Financial platforms                |
| Crypto   | `crypto`   | Cryptocurrency services            |
| Tech     | `tech`     | Tech communities                   |
| Music    | `music`    | Spotify, SoundCloud, etc.          |
| Shopping | `shopping` | E-commerce sites                   |
| Coding   | `coding`   | GitHub, GitLab, Stack Overflow     |

### ⚙️ Scan Depths

| Depth        | Sites | Time  | Use Case        |
| ------------ | ----- | ----- | --------------- |
| `quick`    | 100   | ~30s  | Fast overview   |
| `standard` | 500   | ~2min | Balanced search |
| `deep`     | 1500  | ~4min | Comprehensive   |
| `extreme`  | 2500+ | ~8min | Full database   |

### 🔒 Privacy & Ethics

This tool is designed for legitimate OSINT purposes:

- ✅ Security research and penetration testing
- ✅ Personal privacy audits
- ✅ Brand protection
- ✅ Due diligence (with consent)

Please use responsibly and in accordance with applicable laws.

### 🤝 Support

For issues, feature requests, or questions, please open an issue or email me at mrali.hassan997@gmail

***

**Made with ❤️ by [Ali Hassan](https://www.upwork.com/freelancers/~010950841656437833)**

# Actor input Schema

## `searchQuery` (type: `string`):

Username or email address to search for

## `searchType` (type: `string`):

What type of identifier are you searching?

## `scanDepth` (type: `string`):

How thorough should the search be?

## `categories` (type: `array`):

Filter by platform types (leave empty for all)

## `extractData` (type: `boolean`):

Extract additional info from found profiles (names, bios, followers, etc.)

## `recursiveSearch` (type: `boolean`):

Search for additional usernames found in profiles (finds more accounts!)

## `exportFormats` (type: `array`):

Select which file formats to generate

## `reportSorting` (type: `string`):

How to sort results in reports

## `timeout` (type: `integer`):

Timeout for each request in seconds

## `maxConcurrency` (type: `integer`):

Number of parallel requests (higher = faster but uses more resources)

## `retries` (type: `integer`):

Number of times to retry failed requests

## `printErrors` (type: `boolean`):

Include detailed error messages in output (useful for debugging)

## `proxyConfiguration` (type: `object`):

Use proxies to avoid rate limiting and blocks

## Actor input object example

```json
{
  "searchQuery": "johndoe",
  "searchType": "username",
  "scanDepth": "standard",
  "categories": [],
  "extractData": true,
  "recursiveSearch": false,
  "exportFormats": [
    "json",
    "csv",
    "html"
  ],
  "reportSorting": "default",
  "timeout": 15,
  "maxConcurrency": 50,
  "retries": 1,
  "printErrors": false
}
```

# 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 = {
    "searchQuery": "johndoe"
};

// Run the Actor and wait for it to finish
const run = await client.actor("mr.data_scientist/doxon").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 = { "searchQuery": "johndoe" }

# Run the Actor and wait for it to finish
run = client.actor("mr.data_scientist/doxon").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 '{
  "searchQuery": "johndoe"
}' |
apify call mr.data_scientist/doxon --silent --output-dataset

```

## MCP server setup

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

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/mqNu8WBvuKXgZRt4M/builds/dRE90KbL7OQqBPo64/openapi.json