Overview
This workflow automates the process of collecting and segmenting TikTok user data using n8n. It integrates Airtable for data management and Dumpling AI for scraping TikTok profile statistics.
Key Features
- Automated Trigger: Monitors Airtable for new TikTok handles.
- Data Enrichment: Fetches TikTok profile data via Dumpling AI using HTTP requests.
- Conditional Logic: Checks if the follower count meets a 100k threshold.
- Data Segmentation: Updates Airtable records with basic or comprehensive TikTok stats based on follower count.
Benefits
- Time Savings: Eliminates manual data collection and entry.
- Accurate Segmentation: Ensures profiles are categorized based on real-time follower data.
- Seamless Integration: Connects Airtable and Dumpling AI for a unified workflow.
Use Cases
- Influencer Marketing: Quickly identify high-value TikTok influencers for campaigns.
- Social Media Analytics: Maintain an up-to-date database of TikTok profiles and stats.
- CRM Enrichment: Enhance lead records with social media metrics for better targeting.
