Article Extractor - Clean Text for LLM & RAG Pipelines
Pricing
Pay per usage
Extract clean article text + metadata from any URL: title, author, publish date, full plain text, top image, word count. JSON-LD + Open Graph + readability heuristics, no browser. Use for LLM/RAG ingestion, news monitoring, research agents. Input: url or urls[] (max 1000). Output: JSON.
You can access the Article Extractor - Clean Text for LLM & RAG Pipelines 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/?tools=pattonholdings/article-extractor", "--header", "Authorization: Bearer <YOUR_API_TOKEN>" ] } }}Get a ready-to-use configuration for your MCP client with the Article Extractor API - Clean Text for LLM Pipelines Actor preconfigured at mcp.apify.com?tools=pattonholdings/article-extractor .
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.