How is Spider different from Firecrawl?

Spider is built in Rust and optimized for raw speed and volume — it can crawl 100K+ pages per second, making it 10-20x faster than Firecrawl for large-scale operations. Spider also offers lower per-page costs at high volume, built-in stealth mode with fingerprint rotation, and multiple request modes (HTTP, Smart, Chrome). Firecrawl excels at simplicity and LLM-specific features like JSON extraction.

What output formats does Spider support?

Spider supports Markdown, HTML, raw HTML, plain text, JSON (structured extraction), screenshots, and PDF output. You can specify the desired format via the return_format parameter in each request.

How does Spider pricing work?

Spider offers 500 free credits to get started (no credit card required). Paid plans are usage-based with credits consumed per page scraped. The Starter plan begins at $15/month with 12,000 credits. Enterprise plans offer custom pricing with dedicated infrastructure and unlimited concurrency.

Spider MCP Server for OpenAI Agents SDK 3 tools — connect in under 2 minutes

Name: Spider
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 3 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Spider through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Spider Assistant",
            instructions=(
                "You help users interact with Spider. "
                "You have access to 3 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Spider"
        )
        print(result.final_output)

asyncio.run(main())

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Spider MCP Server

Connect your AI agent to Spider.cloud — the fastest web scraping API in the market, built in Rust for maximum performance.

The OpenAI Agents SDK auto-discovers all 3 tools from Spider through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Spider, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Scrape Pages — Extract content from any URL as Markdown, HTML, or plain text. Spider handles JavaScript rendering, anti-bot protection, and proxy rotation
Crawl Sites — Recursively crawl entire websites at speeds exceeding 100K pages/second. Follow internal links and extract structured data at scale
Search & Scrape — Search the web and scrape results in a single API call. Combines discovery with extraction for maximum efficiency

Why Spider over alternatives?

10-20x faster than Firecrawl for large crawls (Rust engine vs Node.js)
Lower cost per page at high volume
Built-in stealth mode with fingerprint rotation and residential proxies

The Spider MCP Server exposes 3 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Spider to OpenAI Agents SDK via MCP

Follow these steps to integrate the Spider MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 3 tools from Spider

Why Use OpenAI Agents SDK with the Spider MCP Server

OpenAI Agents SDK provides unique advantages when paired with Spider through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Spider + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Spider MCP Server delivers measurable value.

Automated workflows: build agents that query Spider, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Spider, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Spider tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Spider to resolve tickets, look up records, and update statuses without human intervention

Spider MCP Tools for OpenAI Agents SDK (3)

These 3 tools become available when you connect Spider to OpenAI Agents SDK via MCP:

spider_crawl

Spider.cloud Rust engine follows internal links and scrapes each page. Configure depth and page limits to control scope. Crawl an entire website at blazing speed — up to 100K+ pages/second. Returns content from multiple pages following internal links

spider_scrape

cloud Rust-powered engine to scrape a single URL. Handles JavaScript rendering, anti-bot protection, and proxy rotation automatically. Supports multiple output formats: markdown (default), html, text. Scrape a single web page at high speed using Spider.cloud. Returns clean content in Markdown, HTML, or plain text format

spider_search

Combines search + scrape in one API call for maximum efficiency. Search the web and scrape results in a single high-performance request via Spider.cloud

Example Prompts for Spider in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Spider immediately.

"Scrape the homepage of spider.cloud and show me what they offer."

"Crawl docs.python.org and get the first 5 pages."

"Search for 'machine learning frameworks comparison 2026' and scrape the top 3 results."

Troubleshooting Spider MCP Server with OpenAI Agents SDK

Common issues when connecting Spider to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Spider + OpenAI Agents SDK FAQ

Common questions about integrating Spider MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.