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Detect Giveaway-Inflated Fake Follower Spikes

Detects fake engagement spikes caused by giveaways and follow trains on Instagram profiles. Returns anomaly signals, quality score, and risk tier.

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Instagram Fake Follower Auditor
Instagram Fake Follower Auditorkhadinakbar/instagram-fake-follower-auditor
Handle
Profile
Outcome
Risk
+4 fields
Text
Number
Boolean
List
Object

Input

Instagram profiles(required):natgeo
Recent posts to sample:5

Output fields

Handle
Profile
Outcome
Risk
Confidence
Tier
Engagement %
Recommendation

How it works

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The Instagram Fake Follower Auditor Actor is ready to run with the inputs already set for "Detect Giveaway-Inflated Fake Follower Spikes". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Detect Giveaway-Inflated Fake Follower Spikes" task

The Instagram Fake Follower Auditor Actor will start running based on the input automatically. You can also change all the input fields, like instagram profiles and recent posts to sample, to match your specific use case.

Receive the "Detect Giveaway-Inflated Fake Follower Spikes" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as handle, profile, outcome, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Detect Giveaway-Inflated Fake Follower Spikes" task via API.

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