How I Built an n8n Scraper That Saved Me Hours Every Week

<p>My client was paying:</p> <ul> <li>Mailchimp: €299/month</li> <li>HubSpot: €890/month</li> <li>Zapier: €199/month</li> <li>Buffer: €120/month</li> <li>Hotjar: €79/month</li>

<p>You can build a fully hands-off invoice → payment pipeline that creates a Stripe invoice, records it in QuickBooks, and sends escalating email reminders - all without writing a

<p>I've been working on workflow automation tools for a while, and I always felt something was missing — the ability to combine visual workflow building with real AI agent

<p>Hey folks! 👋<br /> As a solo developer building for the global market, balancing performance, shipping speed, and server costs is always a tricky triangle. Recently, I launched

<!-- SC_OFF --><div class="md"><p>For about a year I was manually checking competitor pricing pages, reading their blog updates, tracking positioning changes. every week. Like a

<p>I spent years watching developers copy-paste the same deployment steps, manually merge similar PRs, and run identical database queries every single day. The worst part? Most of

<p>Every AI agent has the same problem. You ask it to read a webpage and it comes back with a 403, or worse, 5000 tokens of navigation bars and cookie banners.</p> <p>I spent the

<p><strong>TL;DR:</strong> I run WhatsApp automation workflows for 50+ businesses on shared infrastructure using n8n (queue mode), WAHA (unofficial WhatsApp Web API), Supabase,