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

Short summary

A developer automated weekly data collection with n8n, reducing 4+ hours of manual work to a scheduled workflow. The tutorial covers tool selection (n8n vs. Zapier/Make), architecture (Schedule → HTTP → HTML parsing → Google Sheets → Slack alerts), and best practices like error handling and ethical scraping. The solution costs nothing to host and provides visibility into data patterns previously hidden during manual collection.

• •Save 200+ hours annually by automating repetitive data collection with n8n
• •Architecture: daily schedule → HTTP scraping → Google Sheets logging → conditional Slack alerts
• •Best practices: check robots.txt, add rate-limit delays, build error handling from day one

Generated with AI, which can make mistakes.