WEB DATA FOR AGENTS

From the web to useful context.

ZapFetch brings search, fetching, and structured extraction together for AI workflows. Explore the project’s SDKs and MCP integration.

Search·Fetch·Structure
example responseJSON

// A simple model for web data

{
  "source": "https://example.com",
  "status": "success",
  "data": {
    "title": "A useful page",
    "content": "Clean, readable text",
    "links": ["/docs", "/about"]
  }
}
STRUCTURED OUTPUT01 / 03

Three steps to
web context.

The ZapFetch project describes a path from finding a page to returning data an agent can use.

01

Search

Discover relevant pages and sources for your question or workflow.

02

Fetch

Retrieve page content through a scraping workflow designed for modern sites.

03

Structure

Turn raw content into readable text and structured data for downstream tools.

Use the tools
you already know.

Explore the public SDK and MCP repositories to see how ZapFetch fits into developer and agent workflows.