link.sc is web data infrastructure for teams building with large language models. Instead of maintaining scrapers, headless browsers, and proxy pools, developers call one API to search the web, fetch any URL, or run a research agent that returns a cited report. Behind the scenes, link.sc handles JavaScript rendering, smart waits, proxy rotation, parsing, and caching, then returns clean markdown, structured JSON, or screenshots. Navigation, footers, ads, and scripts are stripped out so models read content rather than markup, which keeps token usage low. Teams use link.sc for deep research agents, RAG pipelines, AI assistants, lead enrichment, and competitive intelligence. SDKs are available for Python and Node, or you can use plain HTTP. A built-in MCP server lets Claude, Cursor, and Windsurf use fetch and search as tools with a single config line.