Can the scraper handle JavaScript-heavy websites like React or Vue apps?

Yes. Enable js_render=true on the universal scraper and Oxylabs runs a headless Chromium instance that executes all client-side JavaScript before extracting the HTML. This handles SPAs, lazy-loaded content, and dynamically rendered components.

How does it handle anti-bot protection?

Oxylabs manages a global residential and datacenter proxy network with automatic IP rotation, browser fingerprinting, and CAPTCHA solving. The API handles all proxy management transparently — you just send the URL and receive structured data back. No proxy configuration needed on your end.

Can I scrape Amazon in different countries — like amazon.de or amazon.co.jp?

Yes. Both Amazon search and product scrapers accept a domain parameter (com, de, co.jp, co.uk, fr, it, es, etc.). The parser adapts to the regional layout and returns localized pricing, availability, and seller data specific to that marketplace.

Oxylabs MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: Oxylabs
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Oxylabs Specialist",
    goal="Help users interact with Oxylabs effectively",
    backstory=(
        "You are an expert at leveraging Oxylabs 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 Oxylabs "
        "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)

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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 Oxylabs MCP Server

Give your AI agent the ability to extract structured data from any website with Oxylabs Web Scraping API. Scrape Google, Amazon, Bing, and Yandex with specialized parsers, or hit any arbitrary URL with the universal scraper — with optional headless browser rendering.

When paired with CrewAI, Oxylabs becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Oxylabs 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

Universal Scraper — Extract HTML from any website. Enable JS rendering for single-page apps that require client-side execution
Google Search — Parse Google SERPs with organic rankings, knowledge panels, ads, and featured snippets, localized by country TLD
Google Shopping — Extract product listings with merchants, prices, reviews, and availability from Google Shopping
Google Images — Pull image URLs, dimensions, and hosting origins from Google Image Search
Google News — Extract time-indexed news articles with publishers and publication dates
Amazon Search — Scrape Amazon product listings with ASINs, prices, Prime markers, and seller data across regional domains
Amazon Product — Deep-extract individual product pages with variations, stock states, bullet points, and vendor hierarchies
Bing Search — Parse Bing SERPs with organic web graph snippets
Yandex Search — Extract rankings from the Yandex search engine for CIS/RU market analysis
Custom Payload — Send fully customized Oxylabs schema payloads for advanced proxy and location configurations

The Oxylabs 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.

How to Connect Oxylabs to CrewAI via MCP

Follow these steps to integrate the Oxylabs MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

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

Customize the agent

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

Run the crew

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

Why Use CrewAI with the Oxylabs MCP Server

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

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

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

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

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

Oxylabs + CrewAI Use Cases

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

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

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

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

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

Oxylabs MCP Tools for CrewAI (10)

These 10 tools become available when you connect Oxylabs to CrewAI via MCP:

scrape_amazon_product

Extract deep E-Commerce retail arrays extracting arbitrary Amazon ASINs

scrape_amazon_search

Perform structured data extraction looping over Amazon query listings

scrape_bing_serp

Calculate and extract structured Bing Search Web mappings

scrape_custom_payload

oxylabs.io/v1/queries` customizing Proxy Types, Locations and deeply nested config params. Dispatch entirely arbitrary strict Oxylabs Payload JSON structures

scrape_google_images

Parse and Scrape specific Google Image Search layout blocks

scrape_google_news

Export time-indexed News articles via Google News blocks

scrape_google_serp

Extract Google Search Engine Results Page (SERP) blocks structurally

scrape_google_shopping

Extract E-Commerce structures hitting Google Shopping engines

scrape_universal

oxylabs.io/v1/queries` endpoint mapping `source=universal`. Dynamically extracts raw remote HTML safely avoiding proxy blocks. Use `js_render=true` explicitly if the target SPA strictly requires client rendering. Scrape any arbitrary HTML website using Oxylabs Universal Scraper API

scrape_yandex_serp

Execute structural analysis indexing Yandex Search instances

Example Prompts for Oxylabs in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Oxylabs immediately.

"Search Google for 'best noise cancelling headphones 2024' and show me the top 5 organic results."

"Get the full product details for Amazon ASIN B0C8PSXB2M."

"Scrape the homepage of techcrunch.com with JavaScript rendering enabled."

Troubleshooting Oxylabs MCP Server with CrewAI

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

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.

Oxylabs + CrewAI FAQ

Common questions about integrating Oxylabs MCP Server with CrewAI.

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.