# 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 - **Stats:** 159 total users, 8 monthly users, 94.7% runs succeeded, 2 bookmarks - **User rating**: 1.00 out of 5 stars ## Pricing $9.90/month + usage To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors ## 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 ## 🔍 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 '' with your token const client = new ApifyClient({ 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 '' with your token. client = ApifyClient("") # 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("💾 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 '{ "searchQuery": "johndoe" }' | apify call mr.data_scientist/doxon --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=mr.data_scientist/doxon", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Doxon", "description": "Discover anyone's digital presence across 3000+ platforms in seconds.\n\nDoxon is a powerful OSINT (Open Source Intelligence) tool that searches for usernames across thousands of websites, social media platforms, and online services.", "version": "0.0", "x-build-id": "dRE90KbL7OQqBPo64" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/mr.data_scientist~doxon/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-mr.data_scientist-doxon", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/mr.data_scientist~doxon/runs": { "post": { "operationId": "runs-sync-mr.data_scientist-doxon", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/mr.data_scientist~doxon/run-sync": { "post": { "operationId": "run-sync-mr.data_scientist-doxon", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "searchQuery" ], "properties": { "searchQuery": { "title": "Search Query", "type": "string", "description": "Username or email address to search for" }, "searchType": { "title": "Search Type", "enum": [ "username", "email", "auto" ], "type": "string", "description": "What type of identifier are you searching?", "default": "username" }, "scanDepth": { "title": "Scan Depth", "enum": [ "quick", "standard", "deep", "extreme" ], "type": "string", "description": "How thorough should the search be?", "default": "standard" }, "categories": { "title": "Platform Categories", "type": "array", "description": "Filter by platform types (leave empty for all)", "items": { "type": "string", "enum": [ "social", "gaming", "video", "photo", "dating", "forum", "blog", "news", "finance", "crypto", "tech", "music", "shopping", "coding" ], "enumTitles": [ "🌐 Social Media", "🎮 Gaming", "📹 Video Platforms", "📷 Photo Sharing", "💕 Dating", "💬 Forums", "📝 Blogs", "📰 News", "💰 Finance", "🪙 Crypto", "💻 Tech", "🎵 Music", "🛒 Shopping", "👨‍💻 Coding/Dev" ] }, "default": [] }, "extractData": { "title": "Extract Profile Data", "type": "boolean", "description": "Extract additional info from found profiles (names, bios, followers, etc.)", "default": true }, "recursiveSearch": { "title": "Recursive Search", "type": "boolean", "description": "Search for additional usernames found in profiles (finds more accounts!)", "default": false }, "exportFormats": { "title": "Export Formats", "type": "array", "description": "Select which file formats to generate", "items": { "type": "string", "enum": [ "json", "csv", "html", "pdf", "txt", "graph", "xmind" ], "enumTitles": [ "📋 JSON - Machine readable data", "📊 CSV - Spreadsheet format", "🌐 HTML - Beautiful web report", "📄 PDF - Printable document", "📝 TXT - Plain text list", "🕸️ Graph - Interactive network visualization", "🧠 XMind - Mind map format" ] }, "default": [ "json", "csv", "html" ] }, "reportSorting": { "title": "Report Sorting", "enum": [ "default", "data" ], "type": "string", "description": "How to sort results in reports", "default": "default" }, "timeout": { "title": "Request Timeout", "minimum": 5, "maximum": 60, "type": "integer", "description": "Timeout for each request in seconds", "default": 15 }, "maxConcurrency": { "title": "Max Concurrent Requests", "minimum": 10, "maximum": 100, "type": "integer", "description": "Number of parallel requests (higher = faster but uses more resources)", "default": 50 }, "retries": { "title": "Retry Failed Requests", "minimum": 0, "maximum": 3, "type": "integer", "description": "Number of times to retry failed requests", "default": 1 }, "printErrors": { "title": "Include Error Details", "type": "boolean", "description": "Include detailed error messages in output (useful for debugging)", "default": false }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Use proxies to avoid rate limiting and blocks" } } }, "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 } } } } } } } } } } ```