How to Scrape TikTok Profiles & Posts in n8n with Apify

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Learn how to scrape TikTok profiles and posts in n8n using Apify—end to end! In this practical tutorial, we’ll connect n8n to Apify’s TikTok scrapers, launch runs, wait for completion, and pull results back into your workflow for analysis, storage, or notifications.

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Learn how to scrape TikTok data without writing a single line of code in this comprehensive tutorial. I'll show you how to use N8N and Apify to automatically extract TikTok account information including followers, total hearts, and post data. This workflow can filter posts by engagement metrics like comments, shares, and plays, making it perfect for competitor research, affiliate marketing campaigns, or social media analytics.

In this video, we build a complete automated workflow that runs on autopilot and exports data directly to Google Sheets. You'll learn how to use Apify's TikTok scraper actor, set up filtering logic for high-performing posts, and organize data into separate sheets for account information and individual posts. I'll also walk you through the updated Apify integration in N8N that combines both the run actor and get dataset functions into a single node, making the setup even easier than before.

Whether you're tracking competitors on TikTok, researching content trends, or gathering data for marketing insights, this tutorial gives you everything you need to get started in about 15 minutes. Plus, I'm sharing an exclusive Apify promo code to help you save on your scraping costs. If you need custom workflow automation or have specific data needs, my freelance services are available – contact information is in the description and pinned comment below.

TIMESTAMPS
00:00 Introduction to TikTok Data Scraping
01:02 Workflow Overview & Setup
02:30 Apify Actor Configuration
03:40 Actor Parameters & Options
05:17 Split Node & Account Information
06:45 Editing Fields & Removing Duplicates
08:00 Filtering Posts by Engagement
09:20 Handling Hashtags & Data Formatting
10:27 Final Workflow Review & Use Cases

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Ryan’s LinkedIn:   / ryan-p-nolan  
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Who is Ryan
Ryan is a Data Scientist at a fintech company, where he focuses on fraud prevention in underwriting and risk. Before that, he worked as a Data Analyst at a tax software company. He holds a degree in Electrical Engineering from UCF.

Who is Matt
Matt is the founder of Width.ai, an AI and Machine Learning agency. Before starting his own company, he was a Machine Learning Engineer at Capital One.

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