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I built a lead generation system in n8n that finds and verifies thousands of business emails in seconds.
Here's the full flow:
It scrapes every agency in any city you target. Extracts their website URLs. Filters out any fake or dead sites. Scrapes each website individually to pull the email. Verifies the email actually exists. Then logs everything into a clean Google Sheets database ready for cold outreach.
One click. Thousands of verified leads. Zero manual work.
I made a full step by step video showing exactly how I built this and I'm giving away the entire blueprint for free.
Comment LEADS below and I'll send you the link directly.
You can check it out on my Linkedln: https://www.linkedin.com/posts/daniel-oluwafikayomi-famuyiwa-268a2a3a6_aiautomation-leadgeneration-n8n-ugcPost-7479304675788464128-PLWj/?utm_source=share&utm_medium=member_android&rcm=ACoAAGN2vvAB9AIu8nnlNYz7k_RiYgGX2RDMEfo
AI AutomationAI Agent DevelopmentBusiness Workflow AutomationGmailGoogle SheetsN8Naiautomationleadgenerationbusinessautomation
Verification is the step most people skip, then their bounce rate torches the sending domain. What are you using for the verify pass?
Exactly, that verification step is what keeps the workflow practical for cold outreach.
The verification stage is modular, so it can be connected to whichever email verification service fits the client's stack and budget. The goal is to validate addresses before they ever reach...
This workflow isn't limited to agencies. It can be adapted for real estate, law firms, accounting firms, e-commerce brands, and almost any niche with a public web presence.
I've already had a few people ask for the workflow. If you'd like the blueprint or want to see how it works for your industry, let me know in the comments or send me a DM.
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Join 1.25M professional creatives like you
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I developed an automation to manage business leads from a web form connected to an n8n workflow.
The flow allows a user to complete a landing page form, the backend validates the data, and n8n registers the lead in Google Sheets, sends an automatic confirmation email, and notifies the sales team in Slack.
This solution helps reduce manual work, avoid lost leads, and improve response time by keeping new prospect information organized in real time.
Technologies used: React, Node.js, Express.js, JavaScript, n8n, Webhooks, Google Sheets, Gmail and Slack.
This is amazing! I can't wait to give it a try 😃
I'm excited to share something I've been building behind the scenes.
For the past few weeks, I've been working on LeadRadar, a tool designed to help freelancers, agencies, and businesses spend less time searching for leads and more time closing them.
The idea is simple.
Instead of manually jumping between directories, search engines, and social platforms, LeadRadar scans the web to discover potential leads in one place.
I'm focusing on features like:
• Finding businesses that match your target niche
• Collecting publicly available contact information
• Helping users organize and manage their prospects
• Saving hours of manual research
This project has also been a great learning experience in product design, user experience, and solving a real problem that I face as a freelancer.
I'm still building, testing, and refining the product, and I'd love to hear from the community.
If you're someone who spends time looking for clients online, what's your biggest challenge when it comes to lead generation?
Your feedback could help shape LeadRadar into something genuinely useful.
Perfect
Form Flow is a B2B SaaS for enterprise and financial teams where AI handles the full form logic. I built the AI layer that turns plain English into working software behavior.
The rule engine sends an admin's plain-English input to the OpenAI API, which generates executable JavaScript handlers from the description. Those handlers run inside a vm2 sandbox on Node.js, so AI-generated code executes without touching the rest of the app. It works like a locked box: code runs inside, nothing escapes. Rules chain in order and trigger status changes, alerts, and display actions. Getting output consistent enough to run in production without malformed handlers took real iteration, the careful side of AI integration.
A RAG layer reads the surrounding form structure and the exact field a user is on, then sends a prompt scoped to that field, so the AI assistant returns an answer that fits the question instead of something generic. On financial intake forms, this cut abandonment with no human agent involved.
Branding automation pulls colors, logos, and typography from any URL for white-label deployment. Identity verification runs through IDmission with live face matching for compliance.
What the client gets: non-technical admins define complex form logic in plain English, an AI assistant guides users field by field, and AI-generated code runs safely inside a sandbox.
Perfect
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