Website Content to Markdown for LLM Training avatar
Website Content to Markdown for LLM Training

Pricing

$19.99/month + usage

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Website Content to Markdown for LLM Training

Website Content to Markdown for LLM Training

Developed by

EasyApi

EasyApi

Maintained by Community

πŸš€ Transform web content into clean, LLM-ready Markdown! πŸ“˜ Scrape multiple pages, extract main content, and convert to Markdown format. Perfect for AI researchers, data scientists, and LLM developers. Fast, efficient, and customizable. Supercharge your AI training data today! πŸŒπŸ“πŸ§ 

5.0 (1)

Pricing

$19.99/month + usage

2

Total users

66

Monthly users

6

Runs succeeded

>99%

Last modified

3 months ago

You can access the Website Content to Markdown for LLM Training programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/sse?actors=easyapi/website-content-to-markdown-for-llm-training",
"--header",
"Authorization: Bearer <YOUR_API_TOKEN>"
]
}
}
}

Configure MCP server with Website Content to Markdown for LLM Training

You have a few options for interacting with the MCP server:

  • Use mcp.apify.com via mcp-remote from your local machine to connect and authenticate using OAuth or an API token (as shown in the JSON configuration above).

  • Set up the connection directly in your MCP client UI by providing the URL https://mcp.apify.com/sse?actors=easyapi/website-content-to-markdown-for-llm-training along with an API token (or use OAuth).

  • Connect to mcp.apify.com via Server-Sent Events (SSE), as shown below:

{
"mcpServers": {
"apify": {
"type": "sse",
"url": "https://mcp.apify.com/sse?actors=easyapi/website-content-to-markdown-for-llm-training",
"headers": {
"Authorization": "Bearer <YOUR_API_TOKEN>"
}
}
}
}

You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other MCP client of your choice.

If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.