Instagram audience quality: review public risk signals
A transparent screen based on engagement, comment-to-like ratio and post outliers. No follower list or fake-follower percentage.
Input
Output fields
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The Instagram Engagement Rate & Fake Followers: Influencer Audit Actor is ready to run with the inputs already set for "Instagram audience quality: review public risk signals". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Instagram audience quality: review public risk signals" task
The Instagram Engagement Rate & Fake Followers: Influencer Audit Actor will start running based on the input automatically. You can also change all the input fields, like instagram usernames and recent posts per account (3 to 6), to match your specific use case.
Receive the "Instagram audience quality: review public risk signals" 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 username, audiencequalityestimatescore, audiencequalityestimateconfidence, 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 "Instagram audience quality: review public risk signals" task via API.
Integrate "Instagram audience quality: review public risk signals" into your workflow
Connect "Instagram audience quality: review public risk signals" with 100+ integrations, or run it via API or MCP.
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