🕵️ Influencer Audit – Fake Followers & Brand Safety Check

Vet any YouTube creator BEFORE you pay for a sponsorship. Paste a channel → one-click audit: engagement quality, suspected fake / inflated subscribers, view consistency, a brand-safety scan, and a clear GOOD FIT / CAUTION / AVOID verdict. No API key, no login.

This Actor is an influencer audit, fake-follower checker, YouTube engagement checker, and brand-safety screener in one. It's built for brands, agencies, and creator-marketing teams who refuse to burn budget on a creator with bought subscribers or unsafe content.

Need to check an influencer before sponsoring, detect fake YouTube subscribers, calculate a creator's engagement rate, audit audience quality, or run a brand-safety check on a channel? Drop the channels in and export clean JSON / CSV / Excel.

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✅ What each audit includes

Verdict & scores

• verdict — GOOD FIT / CAUTION / AVOID
• creatorScore (0–100) blending engagement health, authenticity & brand safety
• brandSafetyScore (0–100)

Authenticity

• Subscribers vs real average views (true engagement rate)
• View consistency (catches spiky / bought views)
• Suspected inflated-subscriber flag, channel activity/inactivity, channel size

Brand safety

• Scans recent video titles + descriptions for unsafe categories: adult, hate, violence, drugs, gambling, scam, profanity
• Lists the exact flaggedCategories and flaggedTerms

Fit & outreach

• Topics / keywords, country, and contact email (when public)

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🎯 Best for

• Brands & DTC marketers — qualify creators before sending product or money
• Influencer-marketing agencies — bulk-screen creator rosters and shortlists
• Sponsorship / UGC teams — avoid brand-safety incidents and wasted spend
• Talent managers & MCNs — benchmark a roster's engagement health
• Affiliate / ambassador programs — vet applicants at scale
• Due diligence — one bad creator deal costs far more than the audit

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⚡ Why this one

• One-click, key-free — paste a channel, get the audit. No login, no cookie, no API token.
• Decision-ready — a single verdict + score, not raw stats you have to interpret.
• Transparent — every authenticity flag and unsafe term is shown, so you see why.
• Real engagement, not vanity — measures views vs subscribers, not just follower count.
• Bulk + API — screen a whole roster per run; export or pull via the Apify API.

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🛠 How to use

1. Add YouTube channels (@handles, IDs, or URLs).
2. Set Recent videos to analyze (more = steadier signal).
3. Run and read the verdict + flags, or export the dataset.

Example input

{ "channels": ["@mkbhd", "@MrBeast"], "recentVideosToAnalyze": 15 }

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📤 Output

{
  "channelTitle": "Marques Brownlee",
  "handle": "@mkbhd",
  "verdict": "GOOD FIT",
  "creatorScore": 100,
  "brandSafetyScore": 100,
  "flaggedCategories": [],
  "authenticityFlags": [],
  "subscriberCount": 21000000,
  "avgRecentViews": 3691667,
  "engagementRatePct": 17.58,
  "viewConsistencyCV": 0.42,
  "contactEmail": "business@mkbhd.com",
  "country": "US"
}

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🧠 How the verdict works

• Engagement health — real average views ÷ subscribers. Big follower counts with tiny, erratic views = a classic bought-audience signal.
• Consistency — wildly swinging view counts suggest view-buying or one-off virality, not a reliable audience.
• Brand safety — recent titles/descriptions matched against unsafe-content lexicons; each hit lowers the safety score.
• Final verdict — GOOD FIT (clean, healthy), CAUTION (some flags / unsafe categories), AVOID (low score or unsafe).

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🆚 How it compares

vs. follower-count tools — follower count is the easiest metric to fake. This measures real engagement and consistency instead.

vs. manual vetting — scrolling a channel for red flags doesn't scale and misses patterns. This audits a roster in one run with a repeatable score.

vs. expensive influencer platforms — same core vetting (engagement quality + brand safety) on pay-per-result Apify pricing, no seat fees, with API access.

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❓ FAQ

How does it detect fake / inflated subscribers? It compares subscriber count to real recent view performance and view consistency. A huge subscriber count with low, erratic views gets flagged as possible inflation.

What does the brand-safety scan check? Recent video titles and the channel description against unsafe-content categories (adult, hate, violence, drugs, gambling, scam, profanity). Flagged categories and terms are listed for your team to review.

Does it need any keys or login? No — it reads public YouTube data only.

Can I audit a whole roster at once? Yes — pass many channels and screen them in a single run, or pull results via the API.

Which platforms? YouTube (the highest-signal, key-free source for true engagement data).

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💰 Pricing

Pay-per-result: charged per creator audit. No subscription.

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Keywords

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