Sharing an n8n automation workflow that efficiently scrapes web data without paid APIs. This system respects site boundaries while collecting structured data, saving time and money compared to expensive API subscriptions or complex scraping solutions. My n8n workflow combines: → OpenAI integration for smart data processing → Real-time Airtable organization for searchable data → Robots.txt & sitemap.xml checks for ethical compliance → Multi-endpoint HTTP requests with conditional logic for complex sitemaps Has anyone else built similar automation workflows for ethical data collection? What challenges did you face?

→ The workflow automates research document creation by generating chapter-wise content using OpenAi model , merging and formatting it into a PDF, storing it in Google Sheets, and emailing the final document to the user. This workflow includes - Merge: Combines data from multiple sources. - Gpt-4o: Generates and processes content. - HTML Renderer: Converts markdown into styled HTML. - PDF Generator: Transforms HTML into a PDF. - Gmail: Sends the final PDF via email. - Google Sheets: Stores generated content.