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GitHub - scrapeless-ai/scrapeless-mcp-server: Scrapeless Mcp Server

Welcome to the official Scrapeless Model Context Protocol (MCP) Server — a powerful integration layer that empowers LLMs, AI Agents, and AI applications to interact with the web in real time.

Built on the open MCP standard, Scrapeless MCP Server seamlessly connects models like ChatGPT, Claude, and tools like Cursor and Windsurf to a wide range of external capabilities, including:

Google services integration (Search, Flights, Trends, Scholar, etc.)
Browser automation for page-level navigation and interaction
Scrape dynamic, JS-heavy sites—export as HTML, Markdown, or screenshots

Whether you're building an AI research assistant, a coding copilot, or autonomous web agents, this server provides the dynamic context and real-world data your workflows need—without getting blocked.

Automated Web Interaction and Data Extraction with Claude

Using Scrapeless MCP Browser, Claude can perform complex tasks such as web navigation, clicking, scrolling, and scraping through conversational commands, with real-time preview of web interaction results via live sessions.

Bypassing Cloudflare to Retrieve Target Page Content

Using the Scrapeless MCP Browser service, the Cloudflare page is automatically accessed, and after the process is completed, the page content is extracted and returned in Markdown format.

Extracting Dynamically Rendered Page Content and Writing to File

Using the Scrapeless MCP Universal API, the JavaScript-rendered content of the target page above is scraped, exported in Markdown format, and finally written to a local file named text.md.

Automated SERP Scraping

Using the Scrapeless MCP Server, query the keyword “web scraping” on Google Search, retrieve the first 10 search results (including title, link, and summary), and write the content to the file named serp.text.

Here are some additional examples of how to use these servers:

Example Please help me with my flight ticket from Chicago to New York on November 20, 2025. Find papers by "Yoshua Bengio" on deep learning. Search scrapeless by Google search. Find the search interest for "AI" over the last year. Use a browser to visit chatgpt.com, search for "What's the weather like today?", and summarize the results. Scrape the HTML content of scrapeless.com page. Scrape the Markdown content of scrapeless.com page. Get screenshots of scrapeless.com.

Get Scrapeless Key

Log in to the Scrapeless Dashboard（Free trial available）
Then click "Setting" on the left -> select "API Key Management" -> click "Create API Key". Finally, click the API Key you created to copy it.

Configure Your MCP Client

Scrapeless MCP Server supports both Stdio and Streamable HTTP transport modes.

🖥️ Stdio (Local Execution)

{
  "mcpServers": {
    "Scrapeless MCP Server": {
      "command": "npx",
      "args": ["-y", "scrapeless-mcp-server"],
      "env": {
        "SCRAPELESS_KEY": "YOUR_SCRAPELESS_KEY"
      }
    }
  }
}

🌐 Streamable HTTP (Hosted API Mode)

{
  "mcpServers": {
    "Scrapeless MCP Server": {
      "type": "streamable-http",
      "url": "https://api.scrapeless.com/mcp",
      "headers": {
        "x-api-token": "YOUR_SCRAPELESS_KEY"
      },
      "disabled": false,
      "alwaysAllow": []
    }
  }
}

Customize browser session behavior with optional parameters. These can be set via environment variables (for Stdio) or HTTP headers (for Streamable HTTP):

Stdio (Env Var) Streamable HTTP (HTTP Header) Description BROWSER_PROFILE_ID x-browser-profile-id Specifies a reusable browser profile ID for session continuity. BROWSER_PROFILE_PERSIST x-browser-profile-persist Enables persistent storage for cookies, local storage, etc. BROWSER_SESSION_TTL x-browser-session-ttl Defines the maximum session timeout in seconds. The session will automatically expire after this duration of inactivity. Integration with Claude Desktop

Open Claude Desktop
Navigate to: Settings → Tools → MCP Servers
Click "Add MCP Server"
Paste either the Stdio or Streamable HTTP config above
Save and enable the server
Claude will now be able to issue web queries, extract content, and interact with pages using Scrapeless

Integration with Cursor IDE

Open Cursor
Press Cmd + Shift + P and search for: Configure MCP Servers
Add the Scrapeless MCP config using the format above
Save the file and restart Cursor (if needed)
Now you can ask Cursor things like:
1. "Search StackOverflow for a solution to this error"
2. "Scrape the HTML from this page"
And it will use Scrapeless in the background.

Name Description google_search Universal information search engine. google_flights Exclusive flight information query tool. google_trends Get trending search data from Google Trends. google_scholar Search for academic papers on Google Scholar. browser_goto Navigate browser to a specified URL. browser_go_back Go back one step in browser history. browser_go_forward Go forward one step in browser history. browser_click Click a specific element on the page. browser_type Type text into a specified input field. browser_press_key Simulate a key press. browser_wait_for Wait for a specific page element to appear. browser_wait Pause execution for a fixed duration. browser_screenshot Capture a screenshot of the current page. browser_get_html Get the full HTML of the current page. browser_get_text Get all visible text from the current page. browser_scroll Scroll to the bottom of the page. browser_scroll_to Scroll a specific element into view. scrape_html Scrape a URL and return its full HTML content. scrape_markdown Scrape a URL and return its content as Markdown. scrape_screenshot Capture a high-quality screenshot of any webpage.

When using Scrapeless MCP Server with LLMs (like ChatGPT, Claude, or Cursor), it's critical to handle all scraped or extracted web content with care. Web data is untrusted by default, and improper handling may expose your application to prompt injection or other security vulnerabilities.

Never pass raw scraped content directly into LLM prompts. Raw HTML, JavaScript, or user-generated text may contain hidden injection payloads.
Sanitize and validate all extracted content. Strip or escape potentially harmful tags and scripts before using content in downstream logic or AI models.
Prefer structured extraction over free-form text. Use tools like scrape_html, scrape_markdown, or targeted browser_get_text with known-safe selectors to extract only the content you trust.
Apply domain or selector whitelisting when scraping dynamically generated pages, to restrict data flow to known and trusted sources.
Log and monitor all outbound requests made via browser or scraping tools, especially if you're handling sensitive data, tokens, or internal network access.

Injecting scraped HTML directly into prompts
Letting users specify arbitrary URLs or CSS selectors without validation
Storing unfiltered scraped content for future prompt usage

MCP Server Discord

For questions, suggestions, or collaboration inquiries, feel free to contact us via:

Email: market@scrapeless.com
Official Website: https://www.scrapeless.com
Community Forum: https://discord.gg/Np4CAHxB9a

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