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.

ScraperAPI MCP Server for Google ADK 10 tools — connect in under 2 minutes

Name: ScraperAPI
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add ScraperAPI as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

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 google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="scraperapi_agent",
    instruction=(
        "You help users interact with ScraperAPI "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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 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.

Google ADK natively supports ScraperAPI as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK via MCP

Follow these steps to integrate the ScraperAPI MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 10 tools from ScraperAPI via MCP

Why Use Google ADK with the ScraperAPI MCP Server

Google ADK provides unique advantages when paired with ScraperAPI through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with ScraperAPI

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine ScraperAPI tools with BigQuery, Vertex AI, and Cloud Functions

ScraperAPI + Google ADK Use Cases

Practical scenarios where Google ADK combined with the ScraperAPI MCP Server delivers measurable value.

Enterprise data agents: ADK agents query ScraperAPI and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine ScraperAPI tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query ScraperAPI regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including ScraperAPI

ScraperAPI MCP Tools for Google ADK (10)

These 10 tools become available when you connect ScraperAPI to Google ADK 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 Google ADK

Ready-to-use prompts you can give your Google ADK 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 Google ADK

Common issues when connecting ScraperAPI to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

ScraperAPI + Google ADK FAQ

Common questions about integrating ScraperAPI MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.