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In this video, I show you how to automate TikTok scraping using Apify and Make.com. This system leverages AI to extract TikTok data efficiently, transforming hashtags, profiles, and video links into highly organized Google Sheets data.

Key components include:

== Apify for scraping TikTok hashtags, profiles, and video data.
== Make.com for automating and structuring the scraped data.
== JSON configurations for setting up flexible scraping options.
== Automated data input into Google Sheets for analysis.

I guide you through setting up the automation step-by-step:

== Repeater to initiate the workflow.
== Apify to scrape TikTok data using the TikTok Data Extractor.
== Array Aggregator to structure and clean the data.
== Iterator to loop through the organized data.
== Google Sheets module to add scraped data row by row.
== Scheduler in Make.com to automate regular scraping tasks.

With this AI-powered system, you can streamline TikTok data collection and focus on analyzing trends, monitoring competition, and optimizing engagement strategies. I share real examples and bonus tips to help you make the most out of your setup.

If you want to automate your workflows and level up your productivity, this tutorial is for you. Let me know if you have any question