How to Use the WebScrapingAPI MCP in Google ADK

Q: How do I search for information using WebScrapingAPI with Google ADK?

You can use searchgoogleserp to get structured results. These SERP data points are passed directly into the long-context reasoning of Gemini models, allowing your agent to analyze them deeply within BigQuery.

Q: Can I use WebScrapingAPI for complex e-commerce data with Google ADK?

Yes. The scrapeecommerceproduct tool gets product details in structured JSON format, which is exactly what you want to ingest into your cloud data warehouse via the Google ADK.

Q: Does WebScrapingAPI support scraping multiple search engines with Google ADK?

It does. You have tools for Bing (searchbingserp), Yandex (searchyandexserp), and Google. Your agent can select the optimal source based on your geographic focus.

Q: What if I need to scrape content that requires a mobile view using WebScrapingAPI with Google ADK?

Use scrapeasmobile. This tool emulates a mobile device's browser, ensuring your agent captures the correct data layout for modern web pages. It’s crucial for accurate ingestion.

WebScrapingAPI with Google ADK: Bring live web data directly into your BigQuery workflows.

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Connect WebScrapingAPI MCP to Google ADK

Create your Vinkius account to connect WebScrapingAPI to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup WebScrapingAPI with Google ADK

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Get structured product details using MCP Server

The `scrape_ecommerce_product` tool extracts price, title, and reviews into clean JSON. When you run this through the Google ADK, your agent can load that structure directly into a BigQuery table. This makes the data immediately usable for analysis. It bypasses manual ETL steps entirely. You scrape once, and it's ready to query alongside your existing cloud data.

Retrieve search results using Google ADK

Need a quick market check? Use `search_google_serp` for structured results from Google. The output is immediately available for Gemini models within the Google ADK context. This keeps your reasoning grounded in real-time, verifiable data sources, which is key when building enterprise agents.

Execute advanced scraping tasks with MCP Server

The `custom_api_scrape` tool lets you run scrapes using custom parameters for country, session management, and wait times. This level of control ensures your agent can handle highly specific, complex web requirements. It’s perfect when dealing with regional content or sites that throttle basic requests.

Setup guide

Set up WebScrapingAPI MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with WebScrapingAPI tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="WebScrapingAPI_agent",
    model="gemini-2.0-flash",
    instruction="You have access to WebScrapingAPI tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by WebScrapingAPI. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about WebScrapingAPI MCP in Google ADK

You can use `search_google_serp` to get structured results. These SERP data points are passed directly into the long-context reasoning of Gemini models, allowing your agent to analyze them deeply within BigQuery.

Yes. The `scrape_ecommerce_product` tool gets product details in structured JSON format, which is exactly what you want to ingest into your cloud data warehouse via the Google ADK.

It does. You have tools for Bing (`search_bing_serp`), Yandex (`search_yandex_serp`), and Google. Your agent can select the optimal source based on your geographic focus.

Use `scrape_as_mobile`. This tool emulates a mobile device's browser, ensuring your agent captures the correct data layout for modern web pages. It’s crucial for accurate ingestion.

The server handles publicly visible content like raw HTML, structured search engine results (SERP), and e-commerce product metadata. The Google ADK processes this within your secure Google Cloud environment.

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