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Smart Article Extractor

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Smart Article Extractor

Smart Article Extractor

Developed by

Lukáš Křivka

Lukáš Křivka

Maintained by Apify

📰 Smart Article Extractor extracts articles from any scientific, academic, or news website with just one click. The extractor crawls the whole website and automatically distinguishes articles from other web pages. Download your data as HTML table, JSON, Excel, RSS feed, and more.

4.7 (6)

Pricing

Pay per usage

124

Total users

5.1K

Monthly users

384

Runs succeeded

>99%

Issues response

7.7 days

Last modified

2 months ago

You can access the Smart Article Extractor 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": {
"local-actors-mcp-server": {
"command": "npx",
"args": [
"-y",
"@apify/actors-mcp-server",
"--actors",
"lukaskrivka/article-extractor-smart"
],
"env": {
"APIFY_TOKEN": "<YOUR_API_TOKEN>"
}
}
}
}

Configure MCP server with Scrape and download articles and news

You can interact with the MCP server via standard input/output - stdio (as shown above), which is ideal for local integrations and command-line tools such as the Claude desktop client, or you can interact with the server through Server-Sent Events (SSE) to send messages and receive responses, which looks as follows:

{
"mcpServers": {
"remote-actors-mcp-server": {
"type": "sse",
"url": "https://mcp.apify.com/sse?actors=lukaskrivka/article-extractor-smart",
"headers": {
"Authorization": "Bearer <YOUR_API_TOKEN>"
}
}
}
}

You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other supported 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.