Auto-Scrape TikTok User Data via Dumpling AI & Segment in Airtable
Automates scraping TikTok profiles with Dumpling AI, filters creators with 100k+ followers, and updates Airtable for efficient influencer qualification.
This workflow targets social media agencies, influencer marketers, and brand managers needing to qualify TikTok creators by follower metrics. It triggers on new TikTok usernames added to Airtable, scrapes profile data via Dumpling AI's API, and applies a filter to retain only those with 100k+ followers. Qualified profiles are enriched with metrics like ID, follower count, following, hearts, and video count, then updated back in Airtable.
Key benefits include eliminating manual tracking, ensuring consistency in data collection, and scaling influencer outreach without spreadsheets. It saves hours of vetting time, enabling teams to focus on campaigns and talent databases.
Use cases: Building influencer lists for marketing campaigns, automating talent scouting, or monitoring creator growth. Customization options include adjusting follower thresholds, adding more filters, or integrating with CRM tools for outreach.
New buyers can create an account from the cart to unlock a controlled $10 first-purchase credit on eligible orders of $25+.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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