3,400+ MCP servers ready to use
Vinkius

ScrapingBee MCP Server for CrewAIGive CrewAI instant access to 10 tools to Extract Data, Extract Data With Ai, Extract Structured Data, and more

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to ScrapingBee through Vinkius, pass the Edge URL in the `mcps` parameter and every ScrapingBee tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Use with Your AI Agent

Ask AI about this App Connector for CrewAI

Open in ChatGPT Open in Claude Open in Perplexity

The ScrapingBee app connector for CrewAI 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
from crewai import Agent, Task, Crew

agent = Agent(
    role="ScrapingBee Specialist",
    goal="Help users interact with ScrapingBee effectively",
    backstory=(
        "You are an expert at leveraging ScrapingBee tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in ScrapingBee "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
ScrapingBee
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
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.

When paired with CrewAI, ScrapingBee becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call ScrapingBee tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI

When CrewAI 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 CrewAI via MCP

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

01

Install CrewAI

Run pip install crewai
02

Replace the token

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

Customize the agent

Adjust the role, goal, and backstory to fit your use case
04

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from ScrapingBee

Why Use CrewAI with the ScrapingBee MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with ScrapingBee through the Model Context Protocol.

01

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

02

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

03

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

04

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

ScrapingBee + CrewAI Use Cases

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

01

Automated multi-step research: a reconnaissance agent queries ScrapingBee for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

02

Scheduled intelligence reports: set up a crew that periodically queries ScrapingBee, analyzes trends over time, and generates executive briefings in markdown or PDF format

03

Multi-source enrichment pipelines: chain ScrapingBee tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

04

Compliance and audit automation: a compliance agent queries ScrapingBee against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for ScrapingBee in CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

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

01

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
02

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
03

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
04

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

ScrapingBee + CrewAI FAQ

Common questions about integrating ScrapingBee MCP Server with CrewAI.

01

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
02

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
03

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
04

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
05

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.