Auto-Scrape TikTok User Data via Dumpling AI and Segment in Airtable

Who is this for? This workflow is for social media agencies, influencer marketers, and brand managers who need to automatically qualify TikTok creators based on their follower metrics. It’s especially useful for teams managing influencer outreach campaigns or building talent databases. What problem is this workflow solving? Manually tracking TikTok user stats is time-consuming and inconsistent. This automation instantly pulls TikTok profile data and only saves creators who meet a defined follower threshold. It removes manual vetting, reduces spreadsheet work, and makes influencer qualification scalable. What this workflow does This workflow uses Airtable as the trigger, Dumpling AI to scrape

Help me set up the n8n workflow "Auto-Scrape TikTok User Data via Dumpling AI and Segment in Airtable" (https://n8n.io/workflows/4326). It uses: Airtable, HTTP Request. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.