Bring Proxy Rotation
to CrewAI
Create your Vinkius account to connect ScraperAPI to CrewAI and start using all 10 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
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
- Subscribe to this server
- Enter your ScraperAPI Key
- 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
Built-in capabilities (10)
Returns 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
Why CrewAI?
When paired with CrewAI, ScraperAPI becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call ScraperAPI tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
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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
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CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter and agents auto-discover every available tool at runtime - —
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
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Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
ScraperAPI in CrewAI
Why run ScraperAPI with Vinkius?
The ScraperAPI connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 10 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect ScraperAPI using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
ScraperAPI and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect ScraperAPI to CrewAI through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
ScraperAPI for CrewAI
Every request between CrewAI and ScraperAPI is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
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.
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.
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.
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.
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.
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.
MCP tools not discovered
Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
Agent not using tools
Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
Timeout errors
CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
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.
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