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YouTube Sponsorship Vetting & Rate Card

Vet YouTube creators before a sponsorship: authenticity + reach health + influence scores, newest-comment forensics, brand safety, brand fit, the brands that recently sponsored them, and a CPM-based fair rate card for long-form and Shorts integrations.

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YouTube Influencer Audit - Fake Subscribers & Engagement
YouTube Influencer Audit - Fake Subscribers & Engagementcentorprat/youtube-influencer-audit
Handle
Channel
Verdict
Authenticity
+11 fields
Text
Number
Boolean
List
Object

Input

▶️ YouTube channels:@MrBeast
Brand-fit keywords (optional):snacks+1
🔬 Deep comment forensics (premium add-on):true

Output fields

Handle
Channel
Verdict
Authenticity
Reach health
Influence
Subscribers
Median views
Format
Like rate %
Views / subs
Tier
Recent sponsors
Estimated rate card usd
Summary

How it works

Sign up on Apify or log in

The YouTube Influencer Audit - Fake Subscribers & Engagement Actor is ready to run with the inputs already set for "YouTube Sponsorship Vetting & Rate Card". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "YouTube Sponsorship Vetting & Rate Card" task

The YouTube Influencer Audit - Fake Subscribers & Engagement Actor will start running based on the input automatically. You can also change all the input fields, like ▶️ youtube channels, brand-fit keywords (optional), and more, to match your specific use case.

Receive the "YouTube Sponsorship Vetting & Rate Card" 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, channel, verdict, 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 "YouTube Sponsorship Vetting & Rate Card" task via API.

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Integrate "YouTube Sponsorship Vetting & Rate Card" into your workflow

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