Examples โ†’

Fetch a public Notion page for an AI agent

Notion pages render entirely in the browser โ€” the initial HTML is near-empty. AgentFetch routes notion.so and notion.site URLs through FireCrawl, which renders the page and extracts the structured Markdown (headings, lists, callouts, tables).

Try it

Get a free key at agentfetch.dev (500 free fetches/mo, no credit card).

curl -X POST https://api.agentfetch.dev/fetch \
  -H "Content-Type: application/json" \
  -H "X-AgentFetch-Key: af_xxx" \
  -d '{
    "url": "https://www.notion.so/example/Public-page-12345",
    "max_tokens": 2000
  }'

In an MCP-aware agent

fetch_url(
  url="https://www.notion.so/example/Public-page-12345",
  max_tokens=2000,
)

In LangChain

from langchain_agentfetch import AgentFetchTool

tool = AgentFetchTool(api_key="af_xxx")
result = tool.run({"url": "https://www.notion.so/example/Public-page-12345"})

How it routes

AgentFetch automatically routes fetch notion page-style URLs through FireCrawl (JS-rendered) based on domain heuristics โ€” you don't pick a fetcher.

When agents reach for this

Read a public roadmap, ingest documentation, scrape a help center.


Related patterns

Fetch a Hacker News thread for an AI agent
Fetch a Twitter / X thread for an AI agent
Fetch a GitHub README for an AI agent
Fetch an arXiv paper for an AI agent
Fetch and extract text from a PDF for an AI agent
Fetch a Reddit thread for an AI agent