SnapAPI for AI Agents — Web Intelligence API

The Problem Agents Face

Traditional scraping fails

Most pages rely on JavaScript rendering. A simple HTTP GET returns empty shells, broken layouts, or bot-detection walls.

Running a browser is heavy

Spinning up headless Chrome in your agent pipeline adds complexity, memory overhead, and infrastructure you have to maintain.

SnapAPI handles everything

One GET request. Full page render, DOM analysis, and structured intelligence — page type, primary CTA, technologies, and a visual snapshot. No infrastructure required.

Built for automation

Cookie banner dismissal, JavaScript execution, and device emulation built in. Returns machine-readable data your agent can reason about, not just raw HTML.

Agent Integration Examples

OpenAI Function Calling / Tool Use

Define SnapAPI as a tool your LLM can invoke.

{
  "type": "function",
  "function": {
    "name": "capture_screenshot",
    "description": "Capture a screenshot of a webpage",
    "parameters": {
      "type": "object",
      "properties": {
        "url": { "type": "string", "description": "The URL to screenshot" },
        "device": { "type": "string", "enum": ["desktop", "iphone14", "pixel7"] },
        "full_page": { "type": "boolean" }
      },
      "required": ["url"]
    }
  }
}

Python Agent

Call SnapAPI from any Python-based agent framework.

import requests

def screenshot_tool(url, device="desktop", full_page=False):
    """Give your agent eyes — capture any webpage as an image."""
    resp = requests.get("https://snapapi.tech/v1/screenshot", params={
        "url": url,
        "api_key": API_KEY,
        "device": device,
        "full_page": str(full_page).lower(),
        "meta": "true"  # returns base64 image + page title
    })
    return resp.json()

# Agent calls this tool when it needs to see a webpage
result = screenshot_tool("https://example.com", device="iphone14")

LangChain Tool

from langchain.tools import tool
import requests

@tool
def screenshot(url: str) -> str:
    """Capture a visual screenshot of any webpage. Returns base64 image and page metadata."""
    resp = requests.get("https://snapapi.tech/v1/screenshot", params={
        "url": url, "api_key": API_KEY, "meta": "true"
    })
    data = resp.json()
    return f"Title: {data['title']}\nImage: {data['screenshot'][:100]}..."

cURL / Any HTTP Client

Works with any language or framework that can make HTTP requests.

GET https://snapapi.tech/v1/screenshot?url=example.com&api_key=YOUR_KEY&meta=true

# Returns JSON:
{
  "title": "Example Domain",
  "description": "This domain is for use in illustrative examples.",
  "language": "en",
  "headings": [{ "level": 1, "text": "Example Domain" }],
  "links": [{ "text": "More information...", "href": "https://www.iana.org/domains/example" }],
  "text": "Example Domain This domain is for use in illustrative examples...",
  "screenshot": "data:image/png;base64,iVBOR...",
  "format": "png",
  "width": 1280,
  "height": 800
}

What Agents Use Screenshots For

Visual QA

Agents verify UI changes by comparing screenshots before and after deploys.

Web Research

Feed rendered pages to vision models when HTML parsing isn't enough.

Competitive Intel

Monitor competitor pages for pricing, layout, or content changes over time.

Content Generation

Agents screenshot reference sites to inform design or copywriting tasks.

Accessibility Audits

Capture pages across devices and pass to models for accessibility review.

Workflow Automation

Screenshot receipts, dashboards, or confirmations as part of automated workflows.

Agent Discovery Endpoints

Auto-Discovery: AI Plugin Manifest

Agents and platforms that support the OpenAI plugin standard can discover SnapAPI automatically.

GET https://snapapi.tech/.well-known/ai-plugin.json

Tool Definition Endpoint

Import this directly as a function calling tool definition — works with OpenAI, Claude, and any function-calling LLM.

GET https://snapapi.tech/v1/tool

// Returns a complete function schema:
{
  "type": "function",
  "function": {
    "name": "snapapi_screenshot",
    "description": "Capture a screenshot of any webpage...",
    "parameters": { ... }
  }
}

Structured Response (meta=true)

When meta=true, the response includes everything an agent needs to reason about a page — not just the image.

{
  "url": "https://example.com",
  "title": "Example Domain",
  "description": "This domain is for use in illustrative examples.",
  "language": "en",
  "headings": [
    { "level": 1, "text": "Example Domain" }
  ],
  "links": [
    { "text": "More information...", "href": "https://www.iana.org/domains/example" }
  ],
  "text": "Example Domain This domain is for use in illustrative examples...",
  "screenshot": "data:image/png;base64,iVBOR...",
  "format": "png",
  "width": 1280,
  "height": 800
}

/v1/analyze — Structured Page Understanding

Give agents structured understanding of a page without parsing images. Returns page type, primary CTA, nav, buttons, forms, technologies, word count, and more.

// Perfect for agents that need to understand a page, not just see it
const data = await fetch(
  "https://snapapi.tech/v1/analyze?url=https://stripe.com",
  { headers: { "x-api-key": "YOUR_KEY" } }
).then(r => r.json());

// Agent can reason directly about structure:
console.log(data.page_type);          // "landing"
console.log(data.primary_cta.text);   // "Start now"
console.log(data.primary_cta.href);   // "https://stripe.com/register"
console.log(data.technologies);        // ["react", "stripe", "google-analytics"]
console.log(data.forms.length);        // 0 (no forms on the homepage)
console.log(data.nav_items[0].text);   // "Products"
console.log(data.word_count);          // 1432
console.log(data.load_time_ms);        // 980

Give your AI agent web intelligence