AI Research Assistant: Linear, Scrapeless & Claude Integration

This workflow transforms Linear into an AI-powered research assistant. Users input natural language commands (e.g., /search competitor analysis, /trends AI tools) into Linear issues, triggering automated data gathering via Scrapeless API for Google SERP, trends, scraping, or crawling. Claude AI then analyzes the data, generating structured summaries, insights, and actionable recommendations.

Key features include command parsing via Switch node for /search, /trends, /unlock, /scrape, /crawl; data normalization in Code nodes; and seamless result posting back to Linear as comments. It eliminates manual research, saving hours on market analysis, trend spotting, and competitive intelligence.

Ideal for product managers, marketers, and analysts in fast-paced teams. Benefits include real-time insights without tool-switching, scalable automation for multiple projects, and enhanced decision-making with AI-driven synthesis. Deploy via n8n webhook for instant Linear integration.