Web Scraping Built for Agentic Workflows

Agentic workflows have different needs than one-off scripts. They run in loops, hit the same URLs repeatedly, need predictable output schemas, and sometimes need to see what a page looks like — not just read it. denkbot.dog is built for this. 15-minute cache, consistent JSON schema, raw PNG screenshots, and no SSRF surprises.

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What you'd use this for

Autonomous research agents, multi-agent pipelines where one agent fetches and another analyzes, continuous monitoring agents that poll URLs for changes, vision agents that need to see rendered pages.

How it works

example

# Agent loop — fetch + analyze pattern:
import httpx

def agent_fetch(url: str) -> dict:
    """Cache-aware fetch — safe to call repeatedly."""
    r = httpx.post("https://api.denkbot.dog/scrape",
        headers={"Authorization": f"Bearer {DENKBOT_API_KEY}"},
        json={"url": url, "format": "json"})
    data = r.json()
    # data["cached"] == True if already fetched in last 15min
    return {
        "title": data["title"],
        "text": data["text"][:4000],  # Trim for context window
        "links": data["links"][:20],
        "cached": data["cached"],
    }