ScrapingBee MCP Server for LlamaIndexGive LlamaIndex instant access to 10 tools to Extract Data, Extract Data With Ai, Extract Structured Data, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add ScrapingBee as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
Ask AI about this App Connector for LlamaIndex
The ScrapingBee app connector for LlamaIndex 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
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to ScrapingBee. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in ScrapingBee?"
)
print(response)
asyncio.run(main())
* 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.
LlamaIndex agents combine ScrapingBee tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex
When LlamaIndex 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 structured data from a page
Extract JSON data using natural language
Extract JSON data using CSS/XPath selectors
Check API credit usage
Get current API usage and remaining credits
Automatically handles JavaScript, proxies, and anti-bot measures. Scrape a webpage with full browser rendering
Scrape a page with JavaScript rendering enabled
Scrape a page using premium proxy rotation
Scrape a page with stealth mode to bypass bot detection
Handles rendering automatically. Capture a screenshot of a website
Connect ScrapingBee to LlamaIndex via MCP
Follow these steps to wire ScrapingBee into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the ScrapingBee MCP Server
LlamaIndex provides unique advantages when paired with ScrapingBee through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine ScrapingBee tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain ScrapingBee tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query ScrapingBee, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what ScrapingBee tools were called, what data was returned, and how it influenced the final answer
ScrapingBee + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the ScrapingBee MCP Server delivers measurable value.
Hybrid search: combine ScrapingBee real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query ScrapingBee to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying ScrapingBee for fresh data
Analytical workflows: chain ScrapingBee queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for ScrapingBee in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with ScrapingBee immediately.
"Extract the names and prices of all laptops from 'https://example.com/computers' using AI."
"Scrape a Google search results page for the query 'best project management tools 2025' and extract the top 10 results."
"Extract structured product data from an e-commerce product page using CSS selectors."
Troubleshooting ScrapingBee MCP Server with LlamaIndex
Common issues when connecting ScrapingBee to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpScrapingBee + LlamaIndex FAQ
Common questions about integrating ScrapingBee MCP Server with LlamaIndex.