Build with public web data
Explore AIHackr workflows for RAG, AI agents and structured data extraction. Connect public webpages to your applications through REST and MCP.
On this page
Web data for RAG pipelines
Collect public web content as Markdown for retrieval-augmented generation. Use bounded AIHackr crawls, source URLs and your own ingestion pipeline.
Read more →BUILD WITH AIHACKRWeb scraping tools for AI agents
Give agents access to public webpages with AIHackr REST APIs and MCP tools. Read page content, discover links and run bounded website crawls.
Read more →BUILD WITH AIHACKRStructured web data extraction
Turn public webpages into structured JSON with AIHackr. Use a prompt or schema, validate the output and keep source context in your workflow.
Read more →Choose a format, keep the source
Use Markdown for text workflows, HTML for page structure, links for discovery and JSON for fields your application can validate. Every workflow starts with a public URL and a bounded request. Start with the quickstart.