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TikTok influencer vetting: bulk profile stats & bio emails

Bulk-vet TikTok creators: paste handles or profile links and get followers, following, total likes, average likes per video, verified / business / seller flags, bio link and contact emails found in each bio. Banned or deleted accounts come back as free not-found rows.

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TikTok Profile, Video & Comments Scraper + Growth Tracker
TikTok Profile, Video & Comments Scraper + Growth Trackermoonweil/tiktok-scraper
Avatar
Username
Name
Followers
+9 fields
Text
Number
Boolean
List
Object

Input

Profiles:mrbeast+3
Track growth between runs:false
Proxy:{1 field}

Output fields

Avatar
Username
Name
Followers
Following
Total likes
Videos
Avg likes / video
Verified
Emails in bio
Bio link
Bio
Profile

How it works

Sign up on Apify or log in

The TikTok Profile, Video & Comments Scraper + Growth Tracker Actor is ready to run with the inputs already set for "TikTok influencer vetting: bulk profile stats & bio emails". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "TikTok influencer vetting: bulk profile stats & bio emails" task

The TikTok Profile, Video & Comments Scraper + Growth Tracker Actor will start running based on the input automatically. You can also change all the input fields, like profiles, track growth between runs, and more, to match your specific use case.

Receive the "TikTok influencer vetting: bulk profile stats & bio emails" 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 avatar, username, name, 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 "TikTok influencer vetting: bulk profile stats & bio emails" task via API.

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Integrate "TikTok influencer vetting: bulk profile stats & bio emails" into your workflow

Connect "TikTok influencer vetting: bulk profile stats & bio emails" with 100+ integrations, or run it via API or MCP.

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