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brightdata-mcp-adk-hackathon

by arjunprabhulal·1·Score 34

Professional web scraping platform using BrightData MCP server with 50+ tools and Google ADK integration.

web-scrapingdeveloper-toolsai-llm
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Overview

This is a full-ledged web scraping platform that combines BrightData's MCP server with Google's Agent Development Kit. It provides a complete solution with React frontend, FastAPI backend, and enterprise-grade scraping capabilities through BrightData's proxy network. The system supports various data extraction scenarios including e-commerce, social media, and business data, powered by Google Gemini 2.0 Flash for intelligent tool selection.

Try asking AI

After installing, here are 7 things you can ask your AI assistant:

you:E-commerce price comparison and product data extraction
you:Social media trend analysis and content monitoring
you:Business intelligence and competitive research
you:News aggregation and content analysis
you:What types of websites can this platform scrape?
you:How is this different from other web scraping tools?
you:What are the rate limits and pricing?

When to choose this

Choose this if you need comprehensive web scraping capabilities with specialized tools for various data sources and already use or are willing to integrate with BrightData's proxy network.

When NOT to choose this

Don't choose this if you need an open-source solution without vendor lock-in, or if you only need basic scraping capabilities without the specialized tools provided by BrightData.

Tools this server exposes

12 tools extracted from the README
  • search_engine

    Multi-engine search results from Google, Bing, Yandex

  • scrape_as_markdown

    Clean webpage extraction to markdown format

  • scraping_browser_amazon

    Extract product information from Amazon

  • scraping_browser_walmart

    Extract product information from Walmart

  • scraping_browser_ebay

    Extract product information from eBay

  • scraping_linkedin

    Extract professional data from LinkedIn

  • scraping_instagram

    Extract social media data from Instagram

  • scraping_youtube

    Extract video data from YouTube

  • scraping_crunchbase

    Extract business data from Crunchbase

  • scraping_yahoo_finance

    Extract financial data from Yahoo Finance

  • scraping_google_maps

    Extract location data from Google Maps

  • scraping_zillow

    Extract real estate data from Zillow

Comparable tools

browserless-mcpscrapingbee-mcpfirecrawl-mcpoctoscrape-mcp

Installation

Installation

Prerequisites

  • Python 3.11+
  • Node.js 20+
  • Docker & Docker Compose
  • BrightData API credentials
  • Google AI API key

Quick Start

  1. Clone the repository:
git clone https://github.com/arjunprabhulal/brightdata-mcp-adk-hackathon.git
cd brightdata-mcp-adk-hackathon
  1. Configure environment:
cp backend/config/.env.example backend/config/.env
# Edit .env with your API credentials
  1. Start with Docker:
docker compose up -d

Claude Desktop Configuration

{
  "mcpServers": {
    "brightdata-mcp": {
      "command": "python",
      "args": ["path/to/brightdata/mcp/server.py"],
      "env": {
        "BRIGHTDATA_API_TOKEN": "your_token_here"
      }
    }
  }
}

FAQ

What types of websites can this platform scrape?
The platform supports scraping various websites including e-commerce platforms (Amazon, Walmart), social media (LinkedIn, Instagram), news sources, business data platforms, and custom websites with anti-bot protection through BrightData's proxy network.
How is this different from other web scraping tools?
This platform integrates BrightData's MCP server with Google's Agent Development Kit and Gemini 2.0 Flash AI, enabling intelligent tool selection for optimal scraping. It provides a complete solution with UI, API, and enterprise infrastructure rather than just a scraping library.
What are the rate limits and pricing?
Pricing and rate limits depend on your BrightData subscription plan and API usage. The platform includes environment variable configuration for managing API tokens and authentication credentials.

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Last updated · Auto-generated from public README + GitHub signals.