This video tutorial shows how to build a complete web scraping workflow by combining Crawl4AI, n8n, DigitalOcean, and Supabase. It walks through checking site permissions (robots.txt, sitemap.xml), setting up a Docker-hosted Crawl4AI endpoint on DigitalOcean (with memory sizing, port configuration, and securing via API token), and then building an n8n flow to fetch URLs from a sitemap, loop through them, scrape each listing, and finally push structured data into Supabase for retrieval and use in a RAG (retrieval-augmented generation) system. The result: you can ask natural-language questions (e.g. โany four bedroom listings?โ) and have your AI agent answer based on fresh scraped data.
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