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A server for finding hyper-geolocalized real estate listings

  • Why this server?

    This server offers advanced web search, content extraction, web crawling, and scraping capabilities using the Firecrawl API, which is suitable for finding real estate information.

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    Built as a Model Context Protocol (MCP) server that provides advanced web search, content extraction, web crawling, and scraping capabilities using the Firecrawl API.
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    Python
    • Apple
    • Linux
  • Why this server?

    This server specializes in searching Google and individual websites, and scraping their content quickly and cost-effectively. It's useful for gathering real estate data from specific websites.

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    Searching google, individual websites and scraping their content. Fast and cost-effective. ⚡️
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    TypeScript
    MIT License
  • Why this server?

    This lightweight server uses Puppeteer for web searches, returning structured JSON results, making it suitable for gathering information on real estate.

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    A lightweight, stateless MCP server utilizing Puppeteer for web searches, returning structured JSON results, easily integratable with other MCP-enabled systems.
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    1,679
    JavaScript
  • Why this server?

    This server enables programmatic LinkedIn automation and data extraction. Can be used to find and extract data from real estate agents' profiles.

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    A FastMCP-based server that enables programmatic LinkedIn automation and data extraction through browser automation, offering secure authentication and tools for profile operations and post interactions while respecting LinkedIn's rate limits.
    5
    Python
    • Linux
    • Apple
  • Why this server?

    This server enables browser automation and real-time computer vision tasks through AI-driven commands, useful for navigating and extracting data from real estate websites.

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    Enables browser automation and real-time computer vision tasks through AI-driven commands, offering zero-cost digital navigation and interaction for enhanced web experiences.
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    JavaScript
    MIT License
  • Why this server?

    This server extracts data from websites using natural language prompts, allowing users to specify exactly what content they want and returning structured JSON data, making it perfect for real estate data extraction.

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    Enables extracting data from websites using natural language prompts, allowing users to specify exactly what content they want in plain English and returning structured JSON data.
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    1,379
    4
    TypeScript
    MIT License
    • Apple
    • Linux
  • Why this server?

    Provides stealth browser capabilities using Playwright with anti-detection techniques, allowing it to scrape even websites with aggressive bot detection, enabling data gathering of real estate data.

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    Provides stealth browser capabilities using Playwright with anti-detection techniques, allowing MCP clients to navigate websites and take screenshots while evading common bot detection systems.
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    4
    TypeScript
    MIT License
  • Why this server?

    This server downloads entire websites, preserving their structure and converting links to work locally, useful for archiving and analyzing real estate company websites.

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    Provides a tool to download entire websites using wget. It preserves the website structure and converts links to work locally.
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    40
    JavaScript
    • Apple
    • Linux
  • Why this server?

    This server leverages the Brave API for web search functionality, helpful for quickly searching for real estate agents.

  • Why this server?

    This server offers sophisticated web searches through proxy servers using Tavily's API, supporting comprehensive web searches. This can be used to search for real estate agents.

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    Enables LLMs to perform sophisticated web searches through proxy servers using Tavily's API, supporting comprehensive web searches, direct question answering, and recent news article retrieval with AI-extracted content.
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    Python