Do you deliver data in an LLM-optimized format?

Find out how to retrieve data in LLM-optimized formats using Web Scraper API and AI Studio.

Yes, the Model Context Protocol (MCP) support is a built-in feature of our Web Scraper API. The MCP process transforms raw HTML into formats that Claude, GPT, and other models can immediately understand. No manual reformatting is required.

🛠️ MCP acts as a wrapper that structures the Web Scraper API’s output with context, metadata, and instructions, ensuring compatibility with LLMs.

Web Scraper API can also return Markdown output by adding "markdown": true to your request. Markdown is a lightweight, LLM-friendly, and easy-to-read format that preserves structure and emphasis, making it ideal for chunking, metadata extraction, and preprocessing in AI workflows.

Alternatively, you can use AI Studio to scrape websites using natural language prompts. It can deliver content in Markdown format and parse data according to your prompt or a provided Pydantic or JSON schema.