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AI Agents

Give Your AI Agents
Real-Time Web Access

AI agents need to interact with the real world. Spider gives your agents the ability to crawl, scrape, search, and extract web data at 100K+ pages per second — through a simple API or MCP server.

Without Spider

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

With Spider

  • Agents get clean, token-efficient markdown from any URL
  • MCP server for native integration with Claude, Cursor, Windsurf
  • Anti-bot bypass with 99.5% success rate
  • Native SDKs for LangChain, CrewAI, Agno, and AutoGen

How Agents Use Spider

MCP Server

Install spider-cloud-mcp for native web access in Claude, Cursor, and Windsurf. One command setup.

REST API

Simple JSON API with SDKs for Python, Node.js, Rust, and Go. Your agent calls one endpoint, gets clean data back.

Framework Integrations

Drop-in tools for LangChain, CrewAI, Agno, AutoGen, and FlowiseAI. Use Spider as a document loader or agent tool.

Web Search

Real-time search API lets agents find information across the web and optionally crawl the results.

AI Extraction

Natural language prompts to extract structured data. Agents describe what they need, Spider returns clean JSON.

Browser Automation

Agents can interact with web pages — click, fill forms, scroll — using natural language instructions.

Quick Start with MCP

Add Spider to your AI tool Setup
# 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"
      }
    }
  }
}

Framework Examples

CrewAI agent with web access Python
from crewai_tools import SpiderTool

spider = SpiderTool()

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

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

Related Resources

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