AI Website Content Markdown Scraper avatar
AI Website Content Markdown Scraper

Pricing

$30.00 / 1,000 results

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AI Website Content Markdown Scraper

AI Website Content Markdown Scraper

Developed by

AI_Builder

AI_Builder

Maintained by Community

This Apify Actor, "Website Content Crawler with Markdown Extraction," is designed to perform a comprehensive crawl of specified websites, extract their text content, convert it into Markdown format, and store it in a structured dataset. The extracted content is suitable for feeding LLMs.

3.8 (3)

Pricing

$30.00 / 1,000 results

24

Total users

575

Monthly users

47

Runs succeeded

99%

Last modified

3 months ago

You can access the AI Website Content Markdown Scraper 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=quaking_pail/ai-website-content-markdown-scraper",
"--header",
"Authorization: Bearer <YOUR_API_TOKEN>"
]
}
}
}

Configure MCP server with AI Website Content Markdown Scraper

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=quaking_pail/ai-website-content-markdown-scraper 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=quaking_pail/ai-website-content-markdown-scraper",
"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.