Influencer Fake-Follower Risk Scorer avatar

Influencer Fake-Follower Risk Scorer

Pricing

Pay per usage

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Influencer Fake-Follower Risk Scorer

Influencer Fake-Follower Risk Scorer

Pricing

Pay per usage

Rating

0.0

(0)

Developer

Khoa Nguyen

Khoa Nguyen

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

3 days ago

Last modified

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Screen creator audience samples for synthetic or low-quality follower risk using account completeness, following ratios, account age, inactivity, usernames, duplicate avatars, comments, geography, language, growth spikes, and engagement anomalies.

What it actually does

Profile risk score, confidence, sample metrics, growth metrics, weighted signals, evidence and review recommendation.

Supports inline JSON, an Apify Dataset, and public/signed JSON or CSV URLs. Source collection from social platforms is intentionally decoupled so users can connect any permitted scraper or export.

Inputs

Use profiles[], datasetId, or sourceUrls. See sample_input.json and the Apify input schema for exact fields.

Outputs

  • Default Dataset: detailed result rows and a run summary
  • OUTPUT: machine-readable run summary
  • REPORT.html: reviewable HTML report

Limitations

The result is a risk screen based on supplied samples, not proof that followers are fake or that misconduct occurred. The Actor analyzes supplied data; it does not bypass platform access controls or guarantee that upstream data is complete.

Local validation

npm ci
npm test
npm run check
npm start

Deploy

apify login
apify push

Use APIFY_TOKEN from secure environment storage. Never commit credentials.