TikTok Fake Followers Checker · Engagement & Views Audit

Check a TikTok creator before you pay them. For every account you give it, this Actor scores the creator's newest followers one by one, measures how many people actually watch their recent videos, and compares both with active creators of a similar size. You get a low, medium or high risk and the exact reasons behind it. No login, no cookies.

Why use this checker?

• Judged against real creators, not a fixed number. Across 157 active creators, the typical one had 9% of new followers that score as likely fake. A checker that alarms at any fake share would call most honest creators risky. This one flags a creator only when it looks worse than 90% of creators of a similar size.
• Two measurements that cover each other. A follower sample only sees recent followers, so followers bought months ago never show in it. Comparing views with followers catches that case.
• Every verdict can be checked. Each follower gets a score from named traits, and each risk flag states its numbers and the line it crossed. Turn on follower rows to see every scored follower.
• Pinned videos are excluded. Creators pin old hits, which would inflate views and hide a creator who stopped posting.
• Honest about what it cannot see. Private accounts, hidden follower lists and thin video histories come back as explicit rows or flags, never as an invented score.

What each audit tells you

Field	What it means
riskLevel	low, medium or high; unknown when neither the followers nor 3 recent videos could be read
riskFlags	Each finding, with a code, a severity and a detail sentence carrying the numbers
likelyFakePercent	Share of the sampled newest followers that score 50 or more
suspiciousPercent	Share that score 30 to 49
audienceQualityScore / audienceGrade	100 minus the average follower score, and its grade: A from 85, B from 70, C from 55, D from 40, F below
medianViews / viewsToFollowersPct	Median views on recent non-pinned videos, and that number as a percentage of followers
engagementRateByViewsPct	Likes, comments, shares and saves as a percentage of views
postsPerWeek / daysSinceLastPost	Posting cadence and recency
recentVideos	The videos analysed, with views, likes, comments, shares and saves

How it works

1. Score the newest followers

TikTok lists a creator's followers newest first, 30 at a time, and each entry carries that follower's own public counters. Every sampled follower gets the sum of the weights below. A score of 50 or more counts as likely fake, 30 to 49 as suspicious. Verified accounts always count as real.

Flag	Weight	What triggers it
default_avatar	25	TikTok's stock profile picture. In a 360-follower test sample, 7 of the 9 followers using it had never posted
placeholder_handle	22	user followed by 6 or more digits, the handle TikTok assigns when none is chosen
lopsided_follow_ratio	20	Follows 500 or more accounts, and over 20 times as many as follow it
promo_handle	18	Handle ends in followers, likes, gain, promo or bot
empty_shell_following	14	Never posted and no likes received, yet follows 200 or more accounts
long_digit_suffix	12	Handle ends in 6 or more digits
mostly_digits	10	Handle has 8 or more digits and more digits than letters
no_vowels	10	8 or more letters without a vowel
mass_following	10	Follows 2,000 or more accounts
almost_no_followers	8	Fewer than 5 followers
no_videos	6	Never posted
nickname_is_handle	6	Display name left as the handle
private_and_empty	6	Private account with no videos
digit_suffix	4	Handle ends in 4 or 5 digits
empty_bio	3	No bio

No trait reaches suspicious on its own; the heaviest weighs 25. Never posting and having no bio weigh little because they describe many real viewers: in the NASA audit below, 80 of the 200 newest followers had never posted and 113 had no bio.

2. Compare views with followers

The median views across recent non-pinned videos is divided by the follower count. Each size tier has a floor, the ratio that 90% of active creators in that tier exceed.

Tier	Followers	Floor	Creators measured
Nano	under 10k	10.9%	26
Micro	10k to 100k	1.3%	42
Mid	100k to 1M	0.59%	60
Macro and mega	1M and above	0.68%	41

Macro and mega share one floor because the mega tier alone had 13 creators, too few for a stable figure.

3. Judge both against creators of a similar size

The share of likely fake followers is compared with the line that 90% of active creators stay at or below, measured on their 200 newest followers.

Creator size	Median fake share	Line	Creators measured
Under 1M followers	10%	17.5%	119
1M followers and above	5.5%	12%	38

• High: a fake share at least twice its line (35% or 24%), or median views below half the tier floor.
• Medium: a fake share above its line, median views below the tier floor, or a last post more than 60 days ago.
• Low: none of the above.

On the 157 creators used to set these lines, the rules rate 76% low, 20% medium and 4% high. Medium means worth a question, and one creator in five got it, so read the flags before drawing conclusions.

The limits, stated plainly

• The follower sample is the newest followers. TikTok offers no way to sample older ones, so followers bought months ago do not appear in it. In testing, one creator had 49,900 followers and a median of 134 views per video. Only 0.5% of its 200 newest followers looked fake, and the audit still rated it high on views.
• "Fake" means the traits of auto-created or empty accounts. Some of those are real people who never set up a profile, and no public signal tells them apart from bots. That is why a fake share counts against a creator only when it is unusual for creators of that size.
• The benchmarks are a sample, measured once. They come from 169 active creators found through eleven hashtags and a list of large accounts on 2026-09-11, with 157 of them used for the follower lines. A useful reference, not a census of TikTok.
• Smaller samples are noisier. The fake-share lines were measured on 200 followers. On the same creators, a 90-follower sample crosses them 12% of the time instead of 10%, and a 30-follower sample 14%.
• Engagement by views is reported, not scored. The median creator in every size tier sat between 8% and 11%, and the rate runs high on small view counts: the low-view creator above scored 25.23%.
• Suspicious share is reported, not scored. 95% of the creators measured stayed at or below 25.5%, too narrow a spread to separate anyone.
• Private accounts cannot be audited. Their videos and followers are not public, so they return an error row, which is not charged.

Input

Field	Default	Notes
usernames	required	Handles, @handles or profile URLs
followersToAnalyze	200	Newest followers to score, 30 to 1,000
videosToAnalyze	12	Recent non-pinned videos to analyse, 3 to 30
includeFollowerRows	false	Also return every sampled follower as its own row

On Apify's free plan, a run audits the first 3 profiles and samples at most 90 followers each.

{
  "usernames": ["nasa", "https://www.tiktok.com/@khaby.lame"],
  "followersToAnalyze": 200,
  "videosToAnalyze": 12,
  "includeFollowerRows": false
}

Output

Rows from a test run on 2026-09-11. recentVideos is cut to two entries, and the handles of private individuals are replaced with placeholders.

A low-risk account

{
  "rowType": "audit",
  "username": "nasa",
  "profileUrl": "https://www.tiktok.com/@nasa",
  "nickname": "NASA",
  "isVerified": true,
  "followerCount": 1600000,
  "followingCount": 23,
  "likeCount": 8400000,
  "videoCount": 42,
  "creatorTier": "macro",
  "riskLevel": "low",
  "riskFlags": [],
  "likelyFakePercent": 5.5,
  "suspiciousPercent": 12.5,
  "likelyRealPercent": 82,
  "audienceQualityScore": 84,
  "audienceGrade": "B",
  "sampledFollowers": 200,
  "followerSample": "newest",
  "followerListHidden": false,
  "followerSampleComplete": true,
  "topFollowerFlags": [
    {
      "flag": "empty_bio",
      "count": 113
    },
    {
      "flag": "no_videos",
      "count": 80
    },
    {
      "flag": "empty_shell_following",
      "count": 37
    },
    {
      "flag": "mass_following",
      "count": 36
    },
    {
      "flag": "private_and_empty",
      "count": 35
    }
  ],
  "videosAnalyzed": 12,
  "pinnedExcluded": 1,
  "avgViews": 377620,
  "medianViews": 306880,
  "viewsToFollowersPct": 19.18,
  "engagementRateByViewsPct": 11.55,
  "engagementRateByFollowersPct": 2.73,
  "avgLikes": 38082,
  "avgComments": 808,
  "avgShares": 1651,
  "avgSaves": 3091,
  "postsPerWeek": 4.1,
  "daysSinceLastPost": 2,
  "recentVideos": [
    {
      "videoId": "7665075736742530317",
      "url": "https://www.tiktok.com/@nasa/video/7665075736742530317",
      "postedAt": "2026-07-21T20:09:02.000Z",
      "isPinned": true,
      "isPhotoPost": false,
      "views": 1277254,
      "likes": 86600,
      "comments": 2610,
      "shares": 2973,
      "saves": 6467
    },
    {
      "videoId": "7683502372135505165",
      "url": "https://www.tiktok.com/@nasa/video/7683502372135505165",
      "postedAt": "2026-09-09T11:53:38.000Z",
      "isPinned": false,
      "isPhotoPost": false,
      "views": 209286,
      "likes": 23160,
      "comments": 476,
      "shares": 1982,
      "saves": 2104
    }
  ],
  "auditedAt": "2026-09-11T20:11:02.039Z"
}

A high-risk account: plenty of followers, few viewers

{
  "rowType": "audit",
  "username": "example.creator",
  "profileUrl": "https://www.tiktok.com/@example.creator",
  "nickname": "Example Creator",
  "isVerified": false,
  "followerCount": 49900,
  "followingCount": 351,
  "likeCount": 223700,
  "videoCount": 4255,
  "creatorTier": "micro",
  "riskLevel": "high",
  "riskFlags": [
    {
      "code": "views_far_below_followers",
      "severity": "high",
      "detail": "Median 134 views per video is 0.27% of 49,900 followers, below the 1.3% that 90% of active micro creators exceed."
    }
  ],
  "likelyFakePercent": 0.5,
  "suspiciousPercent": 4,
  "likelyRealPercent": 95.5,
  "audienceQualityScore": 92,
  "audienceGrade": "A",
  "sampledFollowers": 200,
  "followerSample": "newest",
  "followerListHidden": false,
  "followerSampleComplete": true,
  "topFollowerFlags": [
    {
      "flag": "empty_bio",
      "count": 64
    },
    {
      "flag": "mass_following",
      "count": 55
    },
    {
      "flag": "digit_suffix",
      "count": 34
    },
    {
      "flag": "nickname_is_handle",
      "count": 20
    },
    {
      "flag": "no_videos",
      "count": 17
    }
  ],
  "videosAnalyzed": 12,
  "pinnedExcluded": 2,
  "avgViews": 134,
  "medianViews": 134,
  "viewsToFollowersPct": 0.27,
  "engagementRateByViewsPct": 25.23,
  "engagementRateByFollowersPct": 0.07,
  "avgLikes": 32,
  "avgComments": 2,
  "avgShares": 0,
  "avgSaves": 0,
  "postsPerWeek": 5.4,
  "daysSinceLastPost": 0,
  "recentVideos": [
    {
      "videoId": "…",
      "url": "https://www.tiktok.com/@example.creator/video/…",
      "postedAt": "2026-09-11T07:34:56.000Z",
      "isPinned": false,
      "isPhotoPost": false,
      "views": 81,
      "likes": 22,
      "comments": 2,
      "shares": 0,
      "saves": 1
    },
    {
      "videoId": "…",
      "url": "https://www.tiktok.com/@example.creator/video/…",
      "postedAt": "2026-09-10T14:18:52.000Z",
      "isPinned": false,
      "isPhotoPost": false,
      "views": 104,
      "likes": 30,
      "comments": 1,
      "shares": 0,
      "saves": 0
    }
  ],
  "auditedAt": "2026-09-11T20:10:58.121Z"
}

An account that cannot be audited

{
  "rowType": "error",
  "sourceUsername": "private.example",
  "error": "private_account",
  "message": "Account @private.example is private, so its videos and followers are not public and it cannot be audited.",
  "errorKind": "unavailable"
}

A follower row (with includeFollowerRows on)

{
  "rowType": "follower",
  "auditedUsername": "another.creator",
  "username": "user0000000000",
  "profileUrl": "https://www.tiktok.com/@user0000000000",
  "nickname": "user0000000000",
  "isPrivate": false,
  "isVerified": false,
  "hasDefaultAvatar": false,
  "followerCount": 1283,
  "followingCount": 7602,
  "likesReceived": 0,
  "videoCount": 0,
  "fakeScore": 52,
  "verdict": "likely_fake",
  "flags": [
    "placeholder_handle",
    "no_videos",
    "mass_following",
    "empty_shell_following"
  ]
}

Pricing

Pay per event:

• One charge per profile audited, which includes up to 200 sampled followers.
• One charge per further 100 followers when you sample more than 200.
• One charge per follower row, only if you turn follower rows on.

Error rows for private, missing or invalid accounts are never charged. Current prices are on the Pricing tab.

FAQ

Is a high fake-follower share proof that a creator bought followers? No. It means an unusually large share of recent followers show the traits of auto-created or empty accounts. Treat it as a reason to ask questions, and check the follower rows to see which traits were found.

Why does a creator with 5% fake followers come out low risk? Because 5% is ordinary. Across 157 active creators the median was 9%.

Why can a creator with almost no fake followers be high risk? The follower sample only covers recent followers. If followers were bought long ago, the gap shows up in views instead, which is why the audit checks both.

Why are pinned videos ignored? Creators pin old hits. Counting them would inflate views and make an inactive account look busy.

How long does an audit take? In testing, one profile took 16 seconds with 200 followers and 57 seconds with 1,000. Up to 3 profiles run in parallel.

What if an account hides its follower list? The audit runs on views alone and adds a follower_list_hidden flag.

🤖 For AI Agents & LLM Apps

Purpose: assess whether a public TikTok creator's audience looks real before a sponsorship or partnership.

Minimal input:

{ "usernames": ["nasa"] }

Output: one rowType: "audit" row per account. Key fields: riskLevel (low | medium | high | unknown), riskFlags[] (code, severity, detail), likelyFakePercent, suspiciousPercent, audienceGrade, followerCount, medianViews, viewsToFollowersPct, engagementRateByViewsPct, postsPerWeek, daysSinceLastPost, sampledFollowers, recentVideos[]. Accounts that cannot be audited return rowType: "error" with error (private_account, user_not_found, invalid_username) and errorKind.

Behaviour to rely on:

• Branch on riskLevel and quote riskFlags[].detail when explaining a decision.
• Do not treat a non-zero likelyFakePercent as fraud. The median active creator scored 9%; only the flags mark an unusual share.
• likelyFakePercent covers the newest followers only. Do not extrapolate it to the whole audience.
• Error rows are answers, not failures, and are not charged. A run where every account was private still succeeds.
• Billing: one event per audit, one per extra 100 followers beyond 200, one per follower row if requested.

⚠️ Disclaimer

This Actor reads only information TikTok shows publicly to logged-out visitors. It does not log in, bypass privacy settings or access private accounts. Risk levels and fake-follower scores are statistical estimates from public signals and a measured benchmark. They are not statements of fact about any person or creator, some flagged followers are real people, and the results should not be the only basis for a decision about anyone. You are responsible for how you use the results, including compliance with TikTok's terms and applicable data-protection law. This Actor is not affiliated with or endorsed by TikTok.

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