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

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Built by Yang Yang
Created on June 05, 2026

Description

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 TikTok profile information, and a logic condition to check if the profile has more than 100k followers. Qualified profiles are updated with full metrics and stored back in Airtable.

Setup

Airtable Setup
Create a table with a field named Tik tok username
Connect your Airtable account to n8n using a Personal Access Token
Set up a trigger to run when a new TikTok username is added

Dumpling AI
Sign up at Dumpling AI
Create a Dumpling AI credential in n8n using your API key
The HTTP node sends the TikTok handle to Dumpling’s /get-tiktok-profile endpoint

Configure Filter
The IF node checks if followerCount is greater than or equal to 100000

Airtable Update
If qualified, the record is updated with:
ID (TikTok ID)
followerCount
followingCount
heartCount
videoCount
How to customize this workflow to your needs

Change the follower count threshold to fit your campaign (e.g. 10K, 500K, 1M)
Add fields like engagement rate, niche tags, or scraped bio
Chain additional steps like sending approved creators to your CRM or triggering outreach messages
Add another filter to exclude private or inactive accounts

Nodes Used (2)

Airtable
n8n-nodes-base.airtable
HTTP Request
n8n-nodes-base.httpRequest