I’ve built and integrated n8n with GoHighLevel for 15+ clients now, and this is still the fastest, most reliable way I’ve found to connect them — no overcomplication. I kept seeing people struggle with n8n + GHL API authentication, scopes, and tokens. I spent time refining a simple process, and here’s exactly how to do it in under 3 minutes: 1. In your n8n workflow, add an HTTP Request node. 2. Head to the GoHighLevel API v2 documentation, search for the Contacts API, and choose an endpoint (like GET /contacts/{id}). 3. Copy the example curl request shown in the docs. 4. Back in n8n, click Import Curl inside your HTTP node, paste it in, and click Import. 5. In GoHighLevel, go to Settings → Private Integrations → Create New Integration. 6. Add the required scope based on the endpoint (for contacts, it’s Contacts Read Only). 7. Copy the Access Token, paste it into your HTTP node, and hit Execute. You’ll instantly see your contact data appear in n8n — name, email, phone, everything. No need for plugins, no messy OAuth setup, and no extra tools. Just a clean, reliable connection you can reuse for any automation. If anything’s unclear, let me know — I can drop the video walkthrough to set this up.

1) 🚫 No Business Promotions → NO “DM me for…” or "Comment 'Automation'" posts. 2) 🔗 No Linking Your Own Community/YouTube Videos 3) 🏷️ Title Specifically 4) 🔍 Search for Help First (searchbar) 5) 🙌 Stay Respectful 6) ❌ Enforced Clean‑Up Posts that break these rules will be removed without warning. If you ever have questions, feel free to ask. Let’s make this the best AI Automation community out there by sharing, collaborating, and learning together. 🚀

🎬 How I turn 1 YouTube video into 5+ pieces of content in 30 minutes I'm taking one YouTube video and repurposing it everywhere. LinkedIn newsletter. Medium article. Twitter posts. Skool posts. Short clips. Here's the exact process: 📝 Step 1: Transcribe your video Use Google AI Studio or Gemini to get the full transcript. Not a summary - the full thing so your content is accurate. 🤖 Step 2: Set up Claude Project I created a Claude Project with my writing style, example posts, and links. It remembers everything so I don't have to repeat myself. ⚡ Step 3: Generate content Paste transcript into Claude: "make me a LinkedIn newsletter about my YouTube video" It creates a full article using your exact words from the video. 🚀 Step 4: Post everywhere Same article goes to: - LinkedIn newsletter - Medium blog - Twitter (share the LinkedIn link) - Add YouTube embed to both platforms 🎥 Step 5: Short clips Cut your video into 2-minute snippets. Post directly to LinkedIn as native videos. I track everything in a simple Google Sheet with checkboxes for each platform. Takes 20-30 minutes per video once you're set up.

A few weeks ago I set up a automation for Instagram to generate more traffic for a specific reel. My idea was that I just look for an influencer who's followers are my target audience. Then I generate a list in a Google Sheet of all those users, iterate through them and share my reel together with a personal message. I had it running to promote my blender add-on for a couple of weeks now and it seems to work just fine: https://www.instagram.com/reel/DE2zQckudx1/?igsh=MTA5anl6ZW9iNG45cA== Here is a demo of how the automation is running: https://youtu.be/7FEcRgwOx6I?si=hFP4cBDEK3268Cvs Do you think anybody would be interested in something like this or is the Instagram username and password something people would never handout because I need that together with the reel ID that you want to promote.

Recruitment agency client. Small team. Growing fast. Problem: drowning in resumes. Every job posting got 80-120 applications. HR manager spending 12 hours weekly just screening resumes. Reading qualifications, comparing to requirements, deciding who gets interviews. "We're turning away clients because we can't handle the volume." Built intelligent resume screening workflow that pre-qualifies candidates automatically. THE PROBLEM: Before automation, their process looked like this: Job posted → 100 resumes arrive → HR opens each PDF → Reads experience section → Checks skills → Compares education → Makes yes/no decision → Repeat 99 more times. Time per resume: 7-8 minutes Weekly volume: 100+ resumes HR time: 12 hours weekly just screening They were missing qualified candidates because HR got fatigued after resume 40. Good candidates in the bottom half got quick rejections. THE SOLUTION: Built n8n workflow that extracts and scores resumes against job requirements automatically. Workflow receives resume submission. Extracts candidate data: years of experience, technical skills listed, education level and institution, industry background, certifications held, previous companies and roles. Scoring logic compares extracted data against job posting requirements: Required: 5+ years experience, Python/JavaScript skills, Bachelor's degree Candidate has: 7 years, Python listed, Bachelor's from state university Score calculation: Experience match +3, Skills match +3, Education match +2 = 8/10 Routes based on score: High scores (8-10) → Interview pipeline immediately. Medium scores (5-7) → Review queue for HR decision. Low scores (0-4) → Polite rejection email with encouragement to apply for other roles. THE RESULTS: HR now reviews only 25-30 top candidates per posting instead of all 100. Time savings: From 12 hours weekly to 3 hours weekly. That's 36 hours monthly freed up. Interview quality improved. They're talking to better-qualified candidates because scoring is consistent across all 100 resumes, not just the first 40 before fatigue sets in.