ScraperAPI MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect ScraperAPI through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MultiServerMCPClient({
"scraperapi": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using ScraperAPI, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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 ScraperAPI MCP Server
Connect your ScraperAPI account to any AI agent to bypass IP bans, CAPTCHAs, and complex anti-bot systems. Allow your agent to scrape the web dynamically using a pool of millions of proxies.
LangChain's ecosystem of 500+ components combines seamlessly with ScraperAPI through native MCP adapters. Connect 10 tools via the Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures — with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
What you can do
- Render JavaScript — Command your AI to fetch data from SPAs (Single Page Applications) like React or Vue sites flawlessly
- Structured E-commerce & SEO — Extract parsed Amazon product pages via ASIN or pull Google SERP attributes in structured JSON formats directly to your chat
- Premium Unblocking — Access high-quality residential proxies automatically when dealing with ultra-secure or aggressive Cloudflare-protected targets
- Asynchronous & Visual Scraping — Spawn background scraping jobs for slow-loading pages or ask the AI to generate full-page screenshot URLs upon request
The ScraperAPI MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain 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 ScraperAPI to LangChain via MCP
Follow these steps to integrate the ScraperAPI MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 10 tools from ScraperAPI via MCP
Why Use LangChain with the ScraperAPI MCP Server
LangChain provides unique advantages when paired with ScraperAPI through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents — combine ScraperAPI MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across ScraperAPI queries for multi-turn workflows
ScraperAPI + LangChain Use Cases
Practical scenarios where LangChain combined with the ScraperAPI MCP Server delivers measurable value.
RAG with live data: combine ScraperAPI tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query ScraperAPI, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain ScraperAPI tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every ScraperAPI tool call, measure latency, and optimize your agent's performance
ScraperAPI MCP Tools for LangChain (10)
These 10 tools become available when you connect ScraperAPI to LangChain via MCP:
create_async_job
Returns a job ID. Creates an asynchronous scraping job
custom_scrape
Performs a scrape with custom ScraperAPI parameters
get_account_stats
Retrieves API usage statistics
get_async_job
Retrieves the status and result of an async job
get_screenshot_link
Generates a URL to capture a full-page screenshot
scrape_amazon
Retrieves structured Amazon product details
scrape_google_serp
Retrieves structured Google Search results
scrape_html
Automatically rotates proxies. Scrapes standard HTML from a URL
scrape_js_rendered
Scrapes a URL with JavaScript rendering enabled
scrape_premium
Scrapes a URL using high-quality residential proxies
Example Prompts for ScraperAPI in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with ScraperAPI immediately.
"Scrape an Amazon product page for this ASIN: B08J5F3G18 and list its price."
"Run a Google SERP check for the keyword 'best LLM orchestration frameworks'."
"Take a screenshot of https://netflix.com homepage so I can check its layout."
Troubleshooting ScraperAPI MCP Server with LangChain
Common issues when connecting ScraperAPI to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersScraperAPI + LangChain FAQ
Common questions about integrating ScraperAPI MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect ScraperAPI with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect ScraperAPI to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.