This n8n workflow streamlines the process of identifying and qualifying TikTok influencers by automatically fetching profile data and filtering accounts based on follower count. Starting with a trigger that monitors an Airtable database for new TikTok handles, it fetches profile information through Dumpling AI’s scraping API. The workflow then checks if the follower count exceeds a specified threshold (e.g., 100,000 followers). For profiles that meet this criteria, it updates or creates records in Airtable with relevant statistics, such as follower count, total likes (hearts), videos, and profile images. This automation is invaluable for brands, agencies, or marketers who need to efficiently qualify TikTok creators for collaborations, campaigns, or outreach, saving time and ensuring targeted engagement.
Automated TikTok Influencer Qualification Workflow
Node Count | 6 – 10 Nodes |
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Nodes Used | airtable, airtableTrigger, httpRequest, if, stickyNote |
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