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Social Media Finder - Social Analyzer | Username 900+ Sites

제작자: AnshumanAtrey버전 1.0.14i★ –i클라우드에서 실행
레지스트리 이름io.github.AnshumanAtrey/social-analyzer

설치

개요

제작자가 쓴 설명(영어 원문)

Social Analyzer - Find Social Media by Username | Sherlock

PopNx MCP의 세 기둥

이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.

할 수 있는 일

이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.

  • 연결 방식: 클라우드에서 실행
  • 전송 방식: Streamable HTTP
  • 카테고리: 마케팅 및 소셜 미디어
  • 입력해야 할 값: Authorization

설치

쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.

설치하기 전에

비밀로 표시된 값은 내 계정의 열쇠예요. 절대 다른 사람과 공유하거나 채팅에 붙여 넣지 마세요.

필요한 것

어떤 앱을 쓰세요?

위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.

이 주소는 요청 header에 키가 필요한데, 커넥터 추가 메뉴에서는 넣을 수 없어요. 대신 Claude Code, Cursor, VS Code를 쓰세요.

터미널에서 이 명령어를 실행하세요

claude mcp add --transport http social-analyzer 'https://mcp.apify.com/?tools=anshumanatrey/social-analyzer' --header 'Authorization: your-value'

실행하기 전에 빈 값을 채워 주세요.

Cursor에서 열기

또는 설정을 직접 복사하기

프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요

{
  "mcpServers": {
    "social-analyzer": {
      "url": "https://mcp.apify.com/?tools=anshumanatrey/social-analyzer",
      "headers": {
        "Authorization": "your-value"
      }
    }
  }
}

브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.

VS Code에서 열기

또는 설정을 직접 복사하기

프로젝트의 .vscode/mcp.json에 붙여 넣으세요

{
  "servers": {
    "social-analyzer": {
      "type": "http",
      "url": "https://mcp.apify.com/?tools=anshumanatrey/social-analyzer",
      "headers": {
        "Authorization": "your-value"
      }
    }
  }
}

브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.

이 주소는 요청 header에 키가 필요한데, 커넥터 추가 메뉴에서는 넣을 수 없어요. 대신 Claude Code, Cursor, VS Code를 쓰세요.

선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.

직접 입력할 값

  • Authorization 비밀 필수 HTTP header
    Apify API token, as 'Bearer '. Runs bill to this account.

이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.

할 수 있는 일

서버가 도구 목록을 보여 주기 전에 로그인을 요구해요.

기본 점검i

누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검

  • ✓ 통과

    제작자와 저장소 일치

    레지스트리 이름이 GitHub 계정 AnshumanAtrey 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요

  • … 아직 점검 안 함

    계속 관리되고 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • … 아직 점검 안 함

    라이선스 있음

    아직 GitHub에서 이 저장소를 읽어 오지 않았어요

  • ✓ 통과

    엔드포인트 응답

    79ms 만에 응답(HTTP 401)

  • ✓ 통과

    OAuth로 로그인

    OAuth 로그인을 지원한다고 밝혀서, AI 앱이 로그인 화면으로 안내해 줘요

  • … 아직 점검 안 함

    도구 설명에 숨겨진 지시 없음

    아직 점검하지 않았어요. 엔드포인트를 점검할 때 도구 목록을 읽어요

마케팅 및 소셜 미디어 카테고리의 다른 서버와 비교i

  • 이 카테고리의 다른 서버 2985개 중 0%보다 스타가 많아요
  • 이 카테고리의 다른 서버 2985개 중 80%보다 최근에 레지스트리에 공개됐어요
  • 기본 점검 결과가 이 카테고리의 다른 서버 2985개 중 100%와 같거나 더 좋아요

레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.

자주 묻는 질문

Social Media Finder - Social Analyzer | Username 900+ Sites, 안전한가요?

해당하는 기본 점검 3개 중 3개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.

어떤 키나 코드가 필요한가요?

입력해야 할 값: Authorization

내 컴퓨터에서 실행되나요, 클라우드에서 실행되나요?

제작자의 클라우드에서 실행돼요. 설치 없이 인터넷으로 연결하지만, 보내는 내용은 제작자의 서버를 거쳐요.

아직 관리되고 있나요?

GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(1.0.14)은 8일 전 레지스트리에 올라왔어요.

어떤 앱에서 쓸 수 있나요?

Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.

대신 쓸 수 있는 건 뭐가 있나요?

같은 카테고리에는: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer

대안

같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.

카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i

MCP YouTube Transcript

제작자: jkawamoto

An MCP server retrieving transcripts of YouTube videos

내 컴퓨터에서 실행★ 495MIT10일 전 업데이트
설치

Google Analytics MCP

제작자: surendranb

GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.

내 컴퓨터에서 실행★ 244MIT10일 전 업데이트
설치

AI video summarizer: summarize and transcribe YouTube, Bilibili, TikTok and podcast videos.

클라우드에서 실행★ 137MIT10일 전 업데이트
설치

제작자의 README

README 열기

제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.

Social Analyzer - Find Social Profiles by Username

Type a username and get every public profile that uses it. Every run checks all 999 sites the scanner knows: social networks, gaming, dating, developer, forums, wikis and niche platforms. Every hit is ranked high, medium or low confidence with the page's title, language and meta tags, so real profiles come first and guesses stay marked. No login, no cookies, no API key.

Available as an Apify Actor. $0.005 per profile found. One username on all 999 sites takes about 3 minutes; on the 100 most popular sites about 30 seconds.


What does it do?

You give it one username, or a list, and nothing else is needed: with only the username set, the scan is the widest possible, all 999 sites, worldwide, every category, every match kept and labelled by confidence, page details and patterns extracted, one hour to do it. It checks those sites for a profile with exactly that handle and returns one row per profile it finds: the platform, the profile URL, how confident the match is, the site's category and country, the page title, its language and its meta tags. A summary row and an OUTPUT record say in plain words what was checked, how many sites had no profile, how many did not answer, and what came back.

You can paste @elonmusk or a full profile link like twitter.com/elonmusk; the handle is taken out of it. If you paste an email address, the part before the @ is searched and the run points you to the email tool for the address itself. A full name like John Smith is searched as johnsmith, and the summary names john.smith and john_smith to try next.

How is it different from Sherlock?

Sherlock CLIThis actor
Setuppip install, Python, terminalOpen the page, type a handle, press Start
InputOne exact handleHandles, @handles, profile links, lists of up to 25
Sites coveredAbout 300999, checked in parallel
ConfidenceFound or not foundHigh, medium, low, with the match rate
FilteringNoneCategory, country, named sites
OutputTerminal textOne row per profile with category and country, CSV or JSON

The scanner underneath is qeeqbox/social-analyzer (3,000+ GitHub stars). This actor runs it at full depth on every run: all sites, all output fields, 60 parallel workers instead of its hardcoded 15, and its most permissive detection level. It also chooses the sites itself from the scanner's own list and fixes what the command line gets wrong in the current version: several usernames at once, category and country filters, a confidence filter that silently did nothing, and the slow and special modes that have no code behind them.

When should I use it?

  • Recruiting and hiring: check a candidate's public presence from one handle
  • People search: find every account a person uses under a username
  • Fraud and trust teams: find a scammer's or seller's other profiles
  • Dating safety and self-checks: see what a handle exposes, including on dating and adult sites
  • Investigations and due diligence: build a cross-platform footprint for a case

What does it cost?

EventFree and Starter plansScale planBusiness plan and aboveWhen it is charged
Profile found$0.005$0.0045$0.004Per profile row, charged as each step of the scan delivers its rows. The summary row is free.

Apify Store discounts: on the Scale plan you pay 10% less, on Business and above 20% less.

Typical runs (Free and Starter price):

JobCost
One username, all 999 sites, everything kept: 108 confident plus possible and weak rows, about 150 rows (the prefill)$0.75
One username, 100 most popular sites, 17 profiles found$0.09
Two usernames on the 48 adult and dating sites, 16 profiles (a real run)$0.09
25 usernames, 100 sites each, about 30 profiles each$3.76

A run that finds nothing costs nothing. A form with no usable username stops before anything is charged. If your spending limit cannot pay for one profile, nothing is searched or charged and the status message gives the limit and the price. If a run is cut off by the time limit or your spending limit, you keep and pay for only the rows delivered before the cut.

Which inputs does it take?

FieldRequiredWhat it does
usernameone of the twoThe handle. Paste @handle or a profile link; separate several with commas.
usernamesone of the twoA list of handles, one per line, up to 25 per run.
topnoHow many of the most popular sites to check. Default and maximum 999 (all of them); lower it for a quicker run.
websitesnoOnly these sites, by domain or partial name: github.com, reddit. Any of the 999 sites.
siteTypenoEvery category by default. One category: social, adult_dating, gaming, developer_tech, forums, wikis_reference, entertainment, photo_design, news_blogs, shopping, jobs_business, education, other.
countriesnoWorldwide by default. Only sites based in these countries, by name (United States, India, Russia, Japan and 19 more).
filternoall (everything, marked by confidence, default), good,maybe (50% and up), good (100% matches only).
metadatanoAdd each confident profile's meta tags and detected page language. Default on.
extractnoPull emails, links and patterns from found pages. Default on.
timeoutnoTime limit in seconds for the whole run. Default and maximum 3600.

Filters combine. With a category or country filter, top picks the most popular sites inside that filter. With websites, top is ignored.

Nothing is held back. The scanner offers three modes; only fast has code behind it in the current version, and its internal "extreme" level is a stricter gate that returns fewer hits, not a deeper scan. So every run already uses the deepest configuration that exists: all sites, all fields, the permissive level. The only feature not exposed is profile screenshots, which needs a Chrome browser the image does not carry.

How do I follow a run?

The status line at the top of the run updates after every step: 48% done: 500 of 998 site checks, 143 profiles so far. 1 of 3 usernames finished, now checking kaytats. Rows appear in the dataset as each step (about 125 sites) finishes, so you can start reading results after about 30 seconds. The OUTPUT record carries status, percentDone and per-username progress while the run is going, and turns into the final summary when it ends.

What does the output look like?

Real rows from a local run on 2026-09-12 with input {"username": "frostkatrina@ymail.com", "top": 50}. The address was recognised as an email, the handle frostkatrina was searched, 17 profiles came back in 37 seconds.

UsernamePlatformProfile URLConfidenceMatch %CategorySite countryAdult site
frostkatrinaFacebookfacebook.com/frostkatrinahigh100socialUnited Statesno
frostkatrinaPinterestpinterest.com/frostkatrinahigh100socialUnited Statesno
frostkatrinaFandomfandom.com/u/frostkatrinamedium66.7entertainmentUnited Statesno
frostkatrinaInstagraminstagram.com/frostkatrinamedium66.7socialUnited Statesno

One profile row as JSON:

{

"recordType": "profile", "username": "torvalds", "platform": "GitHub", "site": "github.com", "link": "https://github.com/torvalds", "confidence": "high", "matchRate": 100.0, "category": "developer_tech", "categoryDetail": "Computers Electronics and Technology > Programming and Developer Software", "country": "United States", "adultSite": false, "siteRank": 89, "pageTitle": "torvalds (Linus Torvalds)", "language": "English", "metadata": [{"property": "og:title", "content": "torvalds - Overview"}, {"property": "og:type", "content": "profile"}], "checkedAt": "2026-09-12T14:20:11+00:00" }

The summary row (also saved as the OUTPUT record) from the same email run:

{

"recordType": "summary", "usernames": ["frostkatrina"], "usernamesChecked": 1, "sitesPerUsername": 50, "filters": {}, "profilesFound": 17, "highConfidence": 2, "mediumConfidence": 11, "lowConfidence": 4, "sitesNotFound": 29, "sitesFailed": 4, "durationSeconds": 36.5, "notes": ["\"frostkatrina@ymail.com\" is an email address. Searched the part before the @ (\"frostkatrina\") as a username. To find accounts registered with the email itself, use https://apify.com/anshumanatrey/holehe-email-osint"], "message": "Found 17 profiles for frostkatrina across 50 sites: 2 high, 11 medium, 4 low confidence. Strongest first. ..." }

Confidence. High means a 100% match: the site answered exactly the way it does for a real profile. Medium (50 to 99%) is likely but worth a look; many adult and dating sites answer at 50% for any handle. Low is a guess. Rows are sorted strongest first. The default keeps everything, so a bare username misses nothing; choose "Confident and possible" or "Confident matches only" for a cleaner list.

Common questions

Q: I typed several usernames and got one weird result. Separate them with commas or use the bulk list. Each username is checked on its own. Usernames have no spaces, so a full name such as John Smith is searched as johnsmith, and the summary names john.smith and john_smith to add if you want those forms too.

Q: I pasted an email address. The run searches the part before the @ as a username and tells you so in the summary. To find which sites an email is registered on, use holehe-email-osint.

Q: I picked a category and a country that have no site in common. Filters only narrow, so a filter that would leave nothing to check is left out and the run says so. None of the 48 adult and dating sites is based in India, for example, so all 48 are checked and the status message tells you where they are based. The same goes for a named site that is not in the list. Category counts are shown in the dropdown; most sites in the list are American or Indian.

Q: Can I run it with less memory? Yes. Each step of the scan is its own process of about 300 MB, and the run starts as many at once as its memory holds: 8 at the default 4 GB, 5 at 2 GB, 1 at 1 GB. Less memory is slower, not broken. A step that still comes back empty is retried on its own, and any sites that could not be checked are counted in the summary (sitesNotChecked) with the reason, never reported as "no profile".

Q: My run found nothing. The status message says so plainly, and the summary tells you how many sites had no profile and how many did not answer. Check the spelling, or switch to "Confident and possible matches" to see weaker matches. A handle that exists nowhere returns one summary row.

Q: Some results are wrong. Sites that answer with a normal page for any handle produce medium matches. Stay on "Confident matches only" for clean lists, and check medium rows by hand.

Q: Does it check dating and adult sites? Yes, always. The scanner's list has 48 of them and they are part of every run; the adultSite column marks those rows, and the "Adult and dating sites" category checks only them.

Q: Can I see progress, or get results before the run ends? Yes. The status line shows the percentage done and the counts, rows arrive step by step, and the OUTPUT record has percentDone for API users. You pay per step as its rows are delivered, never for work that was cut off.

Q: Where did slow and special modes go? The scanner's command line only has code for fast; slow and special return nothing in version 0.45. Every run here is already the deepest scan that exists (all 999 sites, every field). API calls th

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