Chris is right, what you described is actually cold outreach (reaching out to people who don't know you). Warm outreach is contacting people in your existing network: friends, family, past coworkers, LinkedIn connections, etc. That said, your cold outreach template needs work. The "Hey [Name]" template feels very automated and most people will ignore it. Here's what actually works better: 1. Make it specific. Instead of "Been seeing your content," reference something they actually posted. Like "Saw your listing on [street name], the staging looked great." 2. Lead with a problem they recognize. Real estate teams lose deals because they reply to leads too slowly. Open with that pain point instead of complimenting them. 3. Keep it to 3 sentences max for the first message. Nobody reads paragraphs from strangers. For real estate specifically, the best approach is to find agents on Google Maps or Zillow, check if they have a slow response time (call their number and see how long it takes), then reach out with "Hey [name], I called your office listing and it took 4 hours to get a callback. Your competitors are responding in under 2 minutes using automated follow-up systems. Want me to show you how?" That kind of outreach converts at 10-15% because you are showing them a real problem they didn't know they had. Happy to walk you through the full outreach setup if you want: https://calendly.com/arshpreetsingh2006/30min

@John Peter Iguiron perfect looking forward to that!

@Zeeshan Ul-Haq For landlord leads specifically, I would start with scraping property management companies and landlord associations from Google Maps + LinkedIn. Then run cold email sequences through Instantly targeting them with a specific offer (like "we will fill your vacant units in 30 days"). For the agency side, you can build a simple lead gen pipeline with Apollo + cold email and offer it as a done for you service. I have built these exact systems. Happy to chat more if you want: https://calendly.com/arshpreetsingh2006/30min

@Luis Saso anytime, if u ever need help, feel free to reach out on persimium.com

@Paul Bowyer oh if you're on the cloud version then the Google sign in should handle most of the OAuth stuff for you automatically. Here's what might be happening: 1. When you click "Sign in with Google" in n8n cloud, it should redirect you to Google, you approve access, and it comes back with credentials ready to go. If that's not working, try clearing your browser cache or using an incognito window. 2. The URI/secret code stuff is only needed for self-hosted n8n. On cloud you should never have to touch Google Cloud Console directly. 3. If you're still stuck, it could be a browser popup blocker issue. Make sure popups are allowed for your n8n cloud URL. What specific step are you getting stuck on? Happy to walk you through it. I deal with n8n setups daily so I can probably save you a few more hours of headache. Feel free to grab a time here if you want to screen share and knock it out in 15 min: https://calendly.com/arshpreetsingh2006/30min

@Paul Bowyer for sure, if anything else we can hop on a call too?

Great question and that multi-branch workflow looks solid. I build n8n workflows daily for clients (both cloud and self-hosted) and here's my take after hundreds of hours with both tools: Claude Chat wins for: - Designing workflow architecture from scratch. You describe the business logic and it maps out the node structure, connections, and data flow before you even open n8n. - - Debugging specific node configs. Paste in the error + node JSON and it spots the issue fast. - - Writing expressions and JavaScript code nodes. The back-and-forth is faster than any IDE for quick function nodes. Claude Code wins for: - Custom n8n nodes or credential types. If you're building something that doesn't exist as a native integration, Code handles the TypeScript boilerplate and testing. - - Batch workflow generation. I've used Code to generate entire workflow JSON files programmatically when I need to spin up similar automations for multiple clients. - - Complex Python/JS scripts that feed into HTTP Request nodes or get called via webhooks. My actual workflow: I design in Claude Chat, build in n8n, then use Claude Code when I hit something that needs real code (custom API integrations, data transformation scripts, or when I need to version-control workflow configs in git). Pro tip: If you're doing multi-branch workflows like yours, consider using sub-workflows in n8n for each branch. Keeps things modular and way easier to debug. Claude Chat is great at helping you decide where to split. I do this stuff professionally if you ever want to bounce ideas or need help scaling complex automations. Always happy to chat: https://calendly.com/arshpreetsingh2006/30min

@Dani Szwarc thank you!

Hey Chris, good question. The terminology can be confusing so let me break it down simply: MCPs (Model Context Protocol) are basically plugins that let AI tools connect to external services. Think of them like APIs but specifically designed for AI agents. For web scraping and searching, you would use MCPs that connect to things like Brave Search, Google, or custom scraping tools. For what you want to do specifically: 1. Job searching: You can build an n8n workflow that scrapes job boards (Indeed, LinkedIn) using HTTP nodes or dedicated APIs, then feeds them through an AI node to filter/rank results based on your criteria. 2. E-commerce sourcing/scraping: Tools like Apify or custom Python scripts running in n8n can scrape product data from websites. Combine that with AI classification to find products matching your criteria. 3. General web searching: Brave Search API or SerpAPI integrated into your workflows gives you programmatic search results you can then process. The key is to think of it as a pipeline: scrape/search data in -> AI processes and filters -> structured output you can act on. If you want I can walk you through setting up a specific workflow for one of these use cases. I build these kinds of data pipelines regularly. Happy to hop on a quick call: https://calendly.com/arshpreetsingh2006/30min