ScraperAPI MCP Server
Equip your AI agent with proxy rotation and headless browsers to extract HTML, Google SERPs, and Amazon data at scale.
Ask AI about this MCP Server
Vinkius supports streamable HTTP and SSE.
* 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
What is the ScraperAPI MCP Server?
The ScraperAPI MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to ScraperAPI via 10 tools. Equip your AI agent with proxy rotation and headless browsers to extract HTML, Google SERPs, and Amazon data at scale. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (10)
Tools for your AI Agents to operate ScraperAPI
Ask your AI agent "Scrape an Amazon product page for this ASIN: B08J5F3G18 and list its price." and get the answer without opening a single dashboard. With 10 tools connected to real ScraperAPI data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.
Build your own MCP Server with our secure development framework →Vinkius works with every AI agent you already use
…and any MCP-compatible client
ScraperAPI MCP Server capabilities
10 toolsReturns a job ID. Creates an asynchronous scraping job
Performs a scrape with custom ScraperAPI parameters
Retrieves API usage statistics
Retrieves the status and result of an async job
Generates a URL to capture a full-page screenshot
Retrieves structured Amazon product details
Retrieves structured Google Search results
Automatically rotates proxies. Scrapes standard HTML from a URL
Scrapes a URL with JavaScript rendering enabled
Scrapes a URL using high-quality residential proxies
What the ScraperAPI MCP Server unlocks
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.
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
How it works
1. Subscribe to this server
2. Enter your ScraperAPI Key
3. Start commanding your agent to scrape complex targets from Claude, Cursor, or your preferred MCP client
ScraperAPI abstracts away all the infrastructure logic, turning your agent into a professional data extraction machine.
Who is this for?
- Data Engineers — let the AI dispatch parallel async jobs to scrape massive archives without holding up the conversation thread
- Growth Hackers & Analysts — fetch pricing and product metadata directly from Amazon competitors with a simple prompt
- SEO Specialists — scrape Google SERPs globally to monitor keyword rankings and rich snippet presence
Frequently asked questions about the ScraperAPI MCP Server
Can the agent bypass Cloudflare screens when scraping?
Yes. If standard scraping (scrape_html) encounters a block, you can prompt the agent to 'Retry using premium proxies' (scrape_premium). This engages ScraperAPI's massive pool of residential IP addresses to mimic normal human traffic perfectly.
How can I extract pricing data directly from Amazon?
Instead of attempting to parse Amazon's chaotic HTML structure, just ask your agent: 'Get the Amazon product details for ASIN B0BQK...'. The agent uses scrape_amazon to return structured JSON data, neatly outputting the item's price and stock availability.
Does the scraping tool consume my LLM context window linearly?
Not if you use async jobs. For heavy pages, tell the agent 'Create an async job to scrape this URL'. It will return a Job ID (create_async_job), freeing up the chat. You can then ask the agent to 'check on the async job' (get_async_job) whenever you're ready.
More in this category
Traefik Hub
8 toolsCloud-native API Management & Gateway evaluating proxy topologies explicitly running Kubernetes integrations.
OpenSearch Vector
6 toolsRun k-NN vector searches on OpenSearch — create indexes, upsert embeddings, query similar documents, and manage your vector store from any AI agent.
Agility CMS
10 toolsManage and query your Agility CMS content through AI — navigate sitemaps, search lists, and fetch layouts.
You might also like
IQAir
6 toolsMonitor air quality and weather — audit pollution data and cities via AI.
Cohere (AI Platform)
7 toolsPower enterprise AI via Cohere — generate text, perform chat completions, reorder documents, and manage embeddings directly from any AI agent.
Calendly Alternative
12 toolsManage meetings and scheduling via Calendly — list event types, track scheduled events, inspect invitees and manage webhooks from any AI agent.
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.
Give your AI agents the power of ScraperAPI MCP Server
Production-grade ScraperAPI MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.