Do I have to manually format scraped data for AI workflows?
Web Scraper API
Only if you want to. Model Context Protocol (MCP) standardizes scraped data in LLM-ready format.
🛠️ MCP is a built-in feature of Web Scraper API 🛠️
Configurable parameters allow you to tailor Web Scraper API outputs to specific AI model requirements with minimal setup changes.
Key benefits of MCP
Consistency: ensure reliable input to AI systems with standardized formatting.
Scalability: easily handle large-scale web scraping for LLMs.
Cost efficiency: reduce engineering costs for maintaining data pipelines.
See our documentation and GitHub for specific steps to enable MCP for your projects.
AI Studio
AI Studio delivers results in LLM-optimized Markdown format. If needed, it can automatically parse results based on your specifications: define your needs through natural language prompts or provide Pydantic/JSON schemas.
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