Master n8n JSON & Data Transformation in 30 Minutes (Most Valuable n8n Skill)

Master n8n JSON & Data Transformation in 30 Minutes (Most Valuable n8n Skill)

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Master n8n JSON & Data Transformation in 30 Minutes (Most Valuable n8n Skill)
🌍 COMMUNITY https://www.skool.com/automatable/about 📚 SUMMARY This video covers the basics on data transformation & JSON data 📺 RELATED VIDEOS • Full crash course on Make.com → https://youtu.be/hinLebdX8aM • Full crash course on Apify & web scraping →https://youtu.be/pKgup8tsPv8 • How I made 507K last year with Bark.com → https://youtu.be/oCaGVACutdE • How I generate 1,000+ blog posts instantly → https://youtu.be/FmXt26JY24I • How I scraped 10,000+ leads & sent lead magnets → https://youtu.be/qwsB72PhM3E 🎯 1:1 CONSULTING Book a time → https://jonocatliff.com/consultation 🚀 AUTOMATION AGENCY Get help with your business → https://www.automatable.co 💼 CAREERS Work with me → https://jonocatliff.com/careers 🔗 LINKS (some of these make me money - thanks in advance!) • n8n → https://jonocatliff.com/n8n • Apify → https://jonocatliff.com/apify • Zapier → https://jonocatliff.com/zapier • PandaDoc → https://jonocatliff.com/pandadoc • Make.com → https://jonocatliff.com/make • Go High Level → https://jonocatliff.com/gohighlevel 👋 ABOUT ME Hey everyone, my name is Jono. I run a 7-figure service business that offers DJ, photo, video services (#1 largest in Canada), and spent years figuring out how to automate every part of it (and hired the roles that I couldn't). Conservatively, I used to work 80+ hours per week, before sunrise till long after sunset; missing gatherings, family events and everything in between. Through automation though, I was able to replace my job. My goal is to help share what worked for me, in a dream of helping others find true success with their passion. Please subscribe, like and comment below if you have any questions! Thank you 😊 ⌛ TIMESTAMPS 0:00 Intro 0:20 Key / value pairs 5:50 Create / update JSON data 9:13 Data types in JSON 17:20 Converting data types 26:33 Functions & data 18:40 Data types don't play nicely 30:59 Arrays Split Out & Aggregators 39:16 Conclusion