Influencer Fake-Follower Risk Scorer
Pricing
Pay per usage
Influencer Fake-Follower Risk Scorer
Pricing
Pay per usage
Rating
0.0
(0)
Developer
Khoa Nguyen
Maintained by CommunityActor 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 summaryREPORT.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 cinpm testnpm run checknpm start
Deploy
apify loginapify push
Use APIFY_TOKEN from secure environment storage. Never commit credentials.