# Maigret Username OSINT — 3000+ Sites | $19/1K (`bovi/maigret-username-osint`) Actor Enter a username and find every account registered under it across 3000+ sites: social networks, forums, gaming, dating, coding platforms. Returns profile URLs, site categories, extracted IDs. No API key required. - **URL**: https://apify.com/bovi/maigret-username-osint.md - **Developed by:** [Vitalii Bondarev](https://apify.com/bovi) (community) - **Categories:** Social media, Lead generation, MCP servers - **Stats:** 7 total users, 5 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $18.43 / 1,000 profiles This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ### Maigret Username OSINT — Find Accounts Across 3000+ Sites **Enter a username → discover every account registered under that handle across 3,000+ websites in minutes.** Built on [Maigret](https://github.com/soxoj/maigret), the leading open-source OSINT username checker. No API key, no cookies, no login required — Maigret checks public profile URLs directly. --- ### Use cases - **OSINT investigations** — map a target's full digital footprint from a single username. - **Fraud & scam detection** — verify whether a suspect handle appears on sites you'd expect (or wouldn't). - **Recruiting & background checks** — find a candidate's GitHub, Dribbble, Behance, Stack Overflow, and 3000+ more. - **Brand & trademark monitoring** — check whether your brand name is already registered on major platforms before launching. - **Personal digital audit** — find all the accounts you've ever created and forgotten about. --- ### What it returns One dataset item per **found** account: ```json { "username": "elonmusk", "site_name": "GitHub", "profile_url": "https://github.com/elonmusk", "site_url_main": "https://www.github.com/", "site_tags": ["coding"], "http_status": 200, "ids_usernames": {}, "ids_links": [], "rank": 10, "query_time_ms": 312 } ```` | Field | Description | |---|---| | `username` | The input username scanned | | `site_name` | Platform name (e.g. "GitHub", "Twitter", "Reddit") | | `profile_url` | Direct URL to the found profile | | `site_url_main` | Platform homepage | | `site_tags` | Category tags: `social`, `coding`, `gaming`, `dating`, `video`, `music`, etc. | | `http_status` | HTTP response code from the profile URL | | `ids_usernames` | Other usernames found on this site (cross-platform ID linking) | | `ids_links` | External profile links extracted from the page | | `rank` | Alexa-based site popularity rank (lower = more popular) | | `query_time_ms` | Time taken to check this site | *** ### Input | Parameter | Default | Description | |---|---|---| | `usernames` | — | **Required.** List of usernames to scan. | | `topSites` | `100` | Check only the top N most-popular sites. `0` = all ~3000. Top 100 covers all major platforms. | | `tags` | *(all)* | Restrict scan to sites with specific category tags (e.g. `["social", "coding"]`). | | `timeoutPerSite` | `5` | Seconds to wait per site before skipping. | | `maxConnections` | `50` | Parallel connections (higher = faster, more aggressive). | #### Speed guide | Scope | Sites | Typical time | |---|---|---| | Top 50 | ~50 | ~20 seconds | | Top 100 (default) | ~100 | ~30–60 seconds | | Top 500 | ~500 | ~3–5 minutes | | All sites | ~3000 | ~10–15 minutes | *** ### vs. alternatives | | This actor | Manual Maigret CLI | Sherlock | Similar paid tools | |---|---|---|---|---| | Sites covered | 3000+ | 3000+ | ~400 | varies | | API key needed | No | No | No | Often | | Cloud-ready | Yes | No | No | Yes | | Parallel usernames | Yes | One at a time | One at a time | Yes | | Pay per result | Yes | N/A | N/A | Usually flat | | Extracted IDs | Yes | Yes | No | Varies | The actor is a cloud wrapper around the same maigret engine the OSINT community uses — same coverage, zero setup friction. *** ### Example run (top 100 sites, username "elonmusk") Found accounts include: GitHub, YouTube, Instagram, Reddit, Telegram, Twitter/X, WordPress, Flickr, SoundCloud, Spotify, and more — typically 15–30 results on a well-known username, 3–10 on an average person. ### 💰 Pricing & how we compare **Pay-per-result (PPE): $19 / 1K profiles found ($0.019 each).** You are billed per `account-found` actually returned — plus the tiny `apify-actor-start` fee Apify waives for short runs. No subscription, no API key, no proxy fee on top. **Our edge:** Maigret across 3000+ sites · `parse_confidence` per hit · clean downstream-ready JSON · no API key. **Pricing examples** (pay only for what you get, minus Apify's 20%): | Volume | Cost | |---|---| | 100 profiles | $1.90 | | 1,000 profiles | $19.00 | | 10,000 profiles | $190.00 | #### How rivals price the same job (live Apify Store, checked 2026-06-09) | Actor | Their price | What they lack vs us | |---|---|---| | `ntriqpro/maigret-actor` | $0.02 / profile | 5★ same Maigret core — we charm-undercut by 1¢ and add parse\_confidence | | `apivault_labs/maigret-username-osint` | $0.007 / profile | aggressive entry price, but newer / unrated | *Prices above are competitors' live Store prices at the time of writing; ours is set to sit just below the strongest comparable while returning richer, quality-scored data.* ### 🤖 Use with AI agents (MCP) This actor is agent-ready (category **MCP\_SERVERS**). Point any MCP client (Claude Desktop, Cursor, n8n AI, LangGraph) at it: ```json { "mcpServers": { "apify": { "url": "https://mcp.apify.com/?actors=bovi/maigret-username-osint", "headers": { "Authorization": "Bearer " } } } } ``` # Actor input Schema ## `usernames` (type: `array`): One or more usernames (handles) to look up across 3000+ sites. Each username triggers a separate scan. Example: \["elonmusk", "johndoe"]. Results are one item per FOUND account. ## `topSites` (type: `integer`): Only check the top N most-popular sites (ranked by Alexa). 0 = all ~3000 sites (slow, ~5–10 min per username). 100 covers all major platforms and runs in ~30 seconds. ## `tags` (type: `array`): Restrict scan to sites matching these tags. Common tags: social, photo, video, gaming, dating, coding, blog, messaging, music, news, adult. Leave empty to scan all categories. ## `timeoutPerSite` (type: `integer`): How long to wait for each site before moving on. Lower = faster run, more misses on slow sites. ## `maxConnections` (type: `integer`): Number of sites checked in parallel. Higher = faster but more likely to trigger rate limits. ## Actor input object example ```json { "usernames": [ "elonmusk" ], "topSites": 100, "tags": [], "timeoutPerSite": 5, "maxConnections": 50 } ``` # Actor output Schema ## `results` (type: `string`): Dataset containing Maigret Username Osint records (username, site\_name, site\_url, profile\_url, site\_tags, http\_status, ids\_usernames, ids\_links). # 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 = { "usernames": [ "elonmusk" ], "tags": [] }; // Run the Actor and wait for it to finish const run = await client.actor("bovi/maigret-username-osint").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 = { "usernames": ["elonmusk"], "tags": [], } # Run the Actor and wait for it to finish run = client.actor("bovi/maigret-username-osint").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 '{ "usernames": [ "elonmusk" ], "tags": [] }' | apify call bovi/maigret-username-osint --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=bovi/maigret-username-osint", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Maigret Username OSINT — 3000+ Sites | $19/1K", "description": "Enter a username and find every account registered under it across 3000+ sites: social networks, forums, gaming, dating, coding platforms. Returns profile URLs, site categories, extracted IDs. No API key required.", "version": "0.1", "x-build-id": "cuU6LVsyW906h5wDg" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/bovi~maigret-username-osint/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-bovi-maigret-username-osint", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/bovi~maigret-username-osint/runs": { "post": { "operationId": "runs-sync-bovi-maigret-username-osint", "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/bovi~maigret-username-osint/run-sync": { "post": { "operationId": "run-sync-bovi-maigret-username-osint", "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": [ "usernames" ], "properties": { "usernames": { "title": "Usernames to search", "type": "array", "description": "One or more usernames (handles) to look up across 3000+ sites. Each username triggers a separate scan. Example: [\"elonmusk\", \"johndoe\"]. Results are one item per FOUND account.", "items": { "type": "string" } }, "topSites": { "title": "Limit to top N sites", "minimum": 0, "type": "integer", "description": "Only check the top N most-popular sites (ranked by Alexa). 0 = all ~3000 sites (slow, ~5–10 min per username). 100 covers all major platforms and runs in ~30 seconds.", "default": 100 }, "tags": { "title": "Filter by site category tags", "type": "array", "description": "Restrict scan to sites matching these tags. Common tags: social, photo, video, gaming, dating, coding, blog, messaging, music, news, adult. Leave empty to scan all categories.", "items": { "type": "string" } }, "timeoutPerSite": { "title": "Timeout per site (seconds)", "minimum": 1, "maximum": 30, "type": "integer", "description": "How long to wait for each site before moving on. Lower = faster run, more misses on slow sites.", "default": 5 }, "maxConnections": { "title": "Max parallel connections", "minimum": 1, "maximum": 200, "type": "integer", "description": "Number of sites checked in parallel. Higher = faster but more likely to trigger rate limits.", "default": 50 } } }, "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 } } } } } } } } } } ```