Built a multi-step scraping automation

Built a multi-step scraping automation in Make that pulls data from the web via HTTP requests, runs it through a Text Parser to clean and structure it, then passes it through Google Gemini AI to extract or summarise the relevant information all ending in an organised output via Google Sheets or a connected tool. The workflow handles two full scraping cycles in one scenario, meaning it processes and validates data twice before storing it.