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ScrapingBee MCP Server for Pydantic AIGive Pydantic AI instant access to 10 tools to Extract Data, Extract Data With Ai, Extract Structured Data, and more

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect ScrapingBee through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Ask AI about this App Connector for Pydantic AI

The ScrapingBee app connector for Pydantic AI 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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

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

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to ScrapingBee "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in ScrapingBee?"
    )
    print(result.data)

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.

Pydantic AI validates every ScrapingBee tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI

When Pydantic AI 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 Pydantic AI via MCP

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

01

Install Pydantic AI

Run pip install pydantic-ai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 10 tools from ScrapingBee with type-safe schemas

Why Use Pydantic AI with the ScrapingBee MCP Server

Pydantic AI provides unique advantages when paired with ScrapingBee through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your ScrapingBee integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

Dependency injection system cleanly separates your ScrapingBee connection logic from agent behavior for testable, maintainable code

ScrapingBee + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the ScrapingBee MCP Server delivers measurable value.

01

Type-safe data pipelines: query ScrapingBee with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple ScrapingBee tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query ScrapingBee and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock ScrapingBee responses and write comprehensive agent tests

Example Prompts for ScrapingBee in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

Common issues when connecting ScrapingBee to Pydantic AI through the Vinkius, and how to resolve them.

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

ScrapingBee + Pydantic AI FAQ

Common questions about integrating ScrapingBee MCP Server with Pydantic AI.

01

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
02

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your ScrapingBee MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.