The N8N Instagram Parasite System (10K Followers In 15 Days)

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Uploader:
Nick SaraevPublished at:
2/11/2025Views:
79.9KDescription:
Join Maker School & get automation customer #1 + all my templates ⤵️ Want to work with my team, automate your business, & scale? ⤵️ Watch me build my $300K/mo business live with daily videos + strategy ⤵️ Get the template ⤵️ Summary ⤵️ I grew my Instagram profile from 0 to 10K followers in 15 days. How? I used this N8N scraping system to source tools from people in adjacent niches, perform automated research on those tools, and then generate improved, customized versions of scripts that I fed into a teleprompter. This is a step-by-step guide on how I did it. My software, tools, & deals (some give me kickbacks—thank you!) 🚀 Instantly: 📧 Anymailfinder: 🤖 Apify: (30% off with code NICK30) 🧑🏽💻 n8n: 📈 Rize: (25% off with promo code NICK) Follow me on other platforms 😈 📸 Instagram: 🕊️ Twitter/X: 🤙 Blog: Why watch? If this is your first view—hi, I’m Nick! TLDR: I spent six years building automated businesses with Make.com (most notably 1SecondCopy, a content company that hit 7 figures). Today a lot of people talk about automation, but I’ve noticed that very few have practical, real world success making money with it. So this channel is me chiming in and showing you what *real* systems that make *real* revenue look like. Hopefully I can help you improve your business, and in doing so, the rest of your life 🙏 Like, subscribe, and leave me a comment if you have a specific request! Thanks. Chapters 00:00:00 Introduction to Instagram Scraper 00:00:38 Building the System 00:01:26 Context of My Instagram Channel 00:03:16 Quality Content Repurposing 00:06:33 Scraping Instagram Reels 00:07:23 Using Appify for Scraping 00:12:24 Setting Up N8N 00:14:40 Creating the Instagram Database 00:18:08 Adding Data to the Database 00:24:50 Verifying Database Entries 00:32:49 Transcribing Videos 00:37:19 Filtering Content for Relevance 00:48:00 Using Perplexity for Insights 00:52:31 Writing a New Script 01:12:09 Updating the Database 01:19:08 Conclusion and Future Prospects
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