Automate TikTok Data Scraping & Segmentation with Airtable
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Effortlessly collect TikTok user data and enrich your CRM. This workflow automatically scrapes TikTok profiles based on new Airtable entries and segments users by follower count.
About This Workflow
Unlock the power of TikTok influencer data without manual effort. This n8n workflow seamlessly integrates with Airtable and Dumpling AI to automate the collection of essential TikTok profile statistics. Start by monitoring your Airtable base for new TikTok handles. Once a new handle is detected, Dumpling AI is leveraged to retrieve detailed profile information. The workflow then intelligently checks if the influencer meets a specific follower threshold (100k+) and updates your Airtable records accordingly with key metrics like follower count, video count, and likes. This ensures your influencer database is always up-to-date and segmented for targeted outreach.
Key Features
- Automated TikTok Data Collection: Scrape follower counts, video metrics, and more directly from TikTok profiles.
- Seamless Airtable Integration: Trigger data collection from new Airtable entries and update records with scraped data.
- Intelligent Segmentation: Automatically filter influencers based on follower count (e.g., 100k+).
- Powered by Dumpling AI: Utilize a robust AI service for accurate and efficient data retrieval.
- Real-time Updates: Keep your influencer database current with the latest statistics.
How To Use
- Configure Airtable Trigger: Connect your Airtable account and specify the base and table containing TikTok usernames. Set the poll interval to monitor for new entries.
- Set up Dumpling AI HTTP Request: Integrate your Dumpling AI API key and configure the HTTP request node to call the
get-tiktok-profileendpoint, passing the TikTok handle from your Airtable data. - Implement Follower Count Check: Use the 'If' node to set conditions for filtering users based on their follower count (e.g., greater than or equal to 100,000).
- Update Airtable Records: Configure the Airtable 'Update' nodes to populate specific fields in your Airtable base with the scraped TikTok data (e.g., follower count, likes, video count, and the TikTok user ID) for both qualified and unqualified influencers.
Apps Used
Workflow JSON
{
"id": "639993ce-9e0a-411d-b959-fb8a3d414259",
"name": "Automate TikTok Data Scraping & Segmentation with Airtable",
"nodes": 22,
"category": "Marketing",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 639993ce-9e0a...
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