Scrape Twitter (X.com) In 5 Minutes Or LESS (Seriously)

🚀Join My Skool Community (FULL Templates & more) - https://www.skool.com/ai-automations-for-sales Signup to Make.com - https://www.make.com/en/register?pc=jakedawson Get your OpenAI API Keys - https://platform.openai.com/api-keys In this video, I show you how to automate scraping tweets from Twitter (or X.com) in less than 5 minutes using Apify and Make.com. This system leverages AI to extract tweet data, such as text, replies, retweets, favorites, and timestamps, transforming scattered tweet information into a neatly organized Google Sheet. Key components include: == Apify for scraping tweets and gathering structured data == Make.com for creating an automated workflow == Google Sheets for organizing and storing the scraped data I guide you through setting up the automation step-by-step: == Apify for scraping tweets from selected Twitter profiles == Dropbox for organizing and storing JSON input/output files == Make.com for connecting Apify to Google Sheets == Google Sheets for managing Twitter profiles and extracted tweet data With this AI-powered system, you can scrape and organize Twitter data efficiently. I share real examples and provide bonus tips to help you maximize your automation setup. If you want to save time, streamline your Twitter data collection, and supercharge your automation skills, this tutorial is for you. Let me know if you have any questions!