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ScrapingBee MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 10 tools to Extract Data, Extract Data With Ai, Extract Structured Data, and more

Built by Vinkius GDPR 10 Tools SDK

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

Ask AI about this App Connector for OpenAI Agents SDK

The ScrapingBee app connector for OpenAI Agents SDK is a standout in the Industry Titans category — giving your AI agent 10 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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="ScrapingBee Assistant",
            instructions=(
                "You help users interact with ScrapingBee. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())
ScrapingBee
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 ScrapingBee MCP Server

Connect your ScrapingBee account to any AI agent and take full control of your web data extraction and stealth scraping orchestration through natural conversation. ScrapingBee provides a robust scraping API that handles headless browsers, rotating proxies, and automated CAPTCHA solving, and this integration allows you to retrieve raw HTML, take screenshots, and use AI-driven extraction rules directly from your chat interface.

The OpenAI Agents SDK auto-discovers all 10 tools from ScrapingBee through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries ScrapingBee, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Stealth Scraper Orchestration — Retrieve raw HTML from any website while bypassing anti-bot systems and CAPTCHAs programmatically.
  • JavaScript Rendering Control — Toggle headless browser rendering to extract data from modern, dynamic SPAs directly from the AI interface.
  • AI-Driven Data Extraction — Use AI extraction rules to parse complex web pages into structured JSON data via natural language.
  • Premium Proxy Intelligence — Access residential and premium proxies to scrape high-security websites without risk of IP blocking.
  • Operational Monitoring — Track system activity and monitor API credit consumption using simple AI commands.

The ScrapingBee MCP Server exposes 10 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.

All 10 ScrapingBee tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to ScrapingBee through Vinkius, your AI agent gets direct access to every tool listed below — spanning scrapingbee, web-scraping, data-extraction, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

extract_data

Extract structured data from a page

extract_data_with_ai

Extract JSON data using natural language

extract_structured_data

Extract JSON data using CSS/XPath selectors

get_api_usage

Check API credit usage

get_usage

Get current API usage and remaining credits

scrape_webpage

Automatically handles JavaScript, proxies, and anti-bot measures. Scrape a webpage with full browser rendering

scrape_with_js

Scrape a page with JavaScript rendering enabled

scrape_with_proxy

Scrape a page using premium proxy rotation

scrape_with_stealth

Scrape a page with stealth mode to bypass bot detection

take_screenshot

Handles rendering automatically. Capture a screenshot of a website

Connect ScrapingBee to OpenAI Agents SDK via MCP

Follow these steps to wire ScrapingBee into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 10 tools from ScrapingBee

Why Use OpenAI Agents SDK with the ScrapingBee MCP Server

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

01

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

02

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

03

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

04

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

ScrapingBee + OpenAI Agents SDK Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for ScrapingBee in OpenAI Agents SDK

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

01

"Extract the names and prices of all laptops from 'https://example.com/computers' using AI."

02

"Scrape a Google search results page for the query 'best project management tools 2025' and extract the top 10 results."

03

"Extract structured product data from an e-commerce product page using CSS selectors."

Troubleshooting ScrapingBee MCP Server with OpenAI Agents SDK

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

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

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

ScrapingBee + OpenAI Agents SDK FAQ

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

01

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.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.