Maigret Username OSINT — 3000+ Sites | $19/1K

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, the leading open-source OSINT username checker. No API key, no cookies, no login required — Maigret checks public profile URLs directly.

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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.

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What it returns

One dataset item per found account:

{
  "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

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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

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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.

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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:

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com/?actors=bovi/maigret-username-osint",
      "headers": { "Authorization": "Bearer <YOUR_APIFY_TOKEN>" }
    }
  }
}

More scrapers from our toolkit

Building a data pipeline? These actors pair well with this one — each runs on your own Apify account with the same pay-per-result pricing, no subscription:

• Patreon Scraper
• Pinterest Scraper
• Reddit Scraper
• Social Media Finder
• Telegram Channel Scraper
• Truth Social Scraper

Chain any of them together from the Integrations tab (the Run succeeded trigger) to build a multi-step workflow — one actor's output feeds the next.

Use it from your existing tools

Use with Claude Desktop / Cursor / Cline (MCP)

Load this actor as a tool in your AI assistant. Call it directly from your AI assistant via the Apify MCP server — no Store browsing needed. Paste this into your MCP client config (e.g. claude_desktop_config.json) and restart the client:

{
  "mcpServers": {
    "apify-maigret-username-osint": {
      "command": "npx",
      "args": [
        "-y",
        "@apify/actors-mcp-server",
        "--tools",
        "bovi/maigret-username-osint"
      ],
      "env": {
        "APIFY_TOKEN": "YOUR_APIFY_TOKEN"
      }
    }
  }
}

Replace YOUR_APIFY_TOKEN with your own Apify API token (free at apify.com → Settings → Integrations). Curated to a handful of tools so the agent selects reliably.

Works with Clay

Run this actor as an HTTP enrichment step inside a Clay table:

• Method: POST
• URL: https://api.apify.com/v2/acts/bovi~maigret-username-osint/run-sync-get-dataset-items?token={{apify_token}}
• Body (JSON): map your Clay columns to the actor input (see the Input section above), e.g. {"usernames": "{{clay_column}}"}

The run finishes synchronously and returns the dataset rows straight into your Clay table. It runs on Apify's cloud under your own token and usage. Synchronous runs must complete within 300 seconds.