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