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AI Agents

Give your agents real-time web access

AI agents need to interact with the real world. Spider lets your agents crawl, scrape, search, and extract web data at up to 50,000 requests per minute through a simple API or MCP server.

Without Spider

  • Agents can't access real-time web data
  • Building browser automation is fragile and slow
  • Anti-bot protections block naive HTTP requests
  • Raw HTML output is noisy and wastes context tokens

Capabilities

How agents use Spider

MCP SERVER Protocol

Native tool for AI IDEs

Install spider-cloud-mcp and give Claude, Cursor, or Windsurf direct web access. One command setup, zero config.

REST API HTTP

Simple JSON endpoints

Your agent calls one endpoint, gets clean markdown or structured JSON back. SDKs for Python, Node.js, Rust, and Go.

FRAMEWORKS SDK

Drop-in agent tools

Pre-built integrations for LangChain, CrewAI, Agno, AutoGen, and FlowiseAI. Use Spider as a document loader or agent tool.

WEB SEARCH Search

Real-time search API

Agents find information across the web and optionally crawl the results. Grounded answers from live data.

AI EXTRACTION AI

Natural language queries

Agents describe what they need in plain English. Spider returns clean, structured JSON. No selectors needed.

BROWSER ACTIONS Actions

Interact with web pages

Agents can click, fill forms, scroll, and navigate using natural language instructions. Full browser automation.

Quick Start

One command to web-enable your AI

Add Spider as an MCP server and your AI tool gets instant access to crawling, search, and extraction. Works with Claude Code, Claude Desktop, Cursor, and Windsurf.

Claude Cursor Windsurf Claude Code
# Claude Code
claude mcp add spider -- npx -y spider-cloud-mcp
# Or add to Claude Desktop / Cursor config:
{
  "mcpServers": {
    "spider": {
      "command": "npx",
      "args": ["-y", "spider-cloud-mcp"],
      "env": {
        "SPIDER_API_KEY": "your-api-key"
      }
    }
  }
}

Integrations

Works with your framework

CrewAI Python
from crewai_tools import SpiderTool

spider = SpiderTool()

agent = Agent(
  role="Research Analyst",
  tools=[spider],
  goal="Find and summarize data",
)
LangChain Python
from langchain_community.document_loaders \
    import SpiderLoader

loader = SpiderLoader(
  url="https://docs.example.com",
  mode="crawl",
)
docs = loader.load()

Resources

Keep exploring

Ready to give your agents web access?

Start crawling the web from your AI agent in minutes. No credit card required.