Insight for: Show HN: I built a tool that watches webpages and exposes changes as RSS

Site Spy addresses a pervasive problem in the digital landscape: the silent, unannounced changes on critical webpages that can have significant personal or business implications. Its core innovation lies in its 'element-level tracking,' which is a substantial leap beyond traditional full-page monitoring. By allowing users to pinpoint and track specific content blocks (like prices, stock statuses, or headlines), it drastically reduces notification noise and increases the relevance of alerts. This granularity is a key differentiator, making the tool highly valuable for a range of professional use cases. Developers and businesses will find this particularly compelling for several reasons. Firstly, the exposure of changes as RSS feeds transforms static web content into a programmatic data stream. This enables seamless integration into existing dashboards, automation workflows, or custom applications, effectively 'API-fying' non-API-driven web sources. This is crucial for competitive intelligence (e.g., monitoring competitor pricing or product updates), compliance (tracking regulatory changes), or content aggregation. Secondly, the mention of an 'MCP server for Claude, Cursor, and other AI agents' positions Site Spy as a vital data feeder for the burgeoning AI ecosystem. It suggests a future where AI agents can autonomously monitor and react to specific web changes, moving beyond simple data scraping to intelligent, event-driven automation. This tool represents a trend towards more intelligent, targeted web data extraction, empowering both human users and AI systems with timely, actionable insights from the ever-changing web.