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Articles Extractor

Pricing

$15.00/month + usage

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Articles Extractor

Articles Extractor

Developed by

Web Harvester

Web Harvester

Maintained by Community

The Article Extractor is an enterprise-grade web scraping solution designed specifically for extracting structured data from news articles, blog posts, and online publications. Our advanced HTML parsing engine delivers unmatched accuracy in content extraction across thousands of websites.

5.0 (2)

Pricing

$15.00/month + usage

23

Total users

492

Monthly users

52

Runs succeeded

>99%

Issues response

4.3 hours

Last modified

2 days ago

You can access the Articles 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.

$# Start Server-Sent Events (SSE) session and keep it running
<curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=web.harvester/articles-extractor"
# Session id example output:
# event: endpoint
# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa

Using Articles Extractor via Model Context Protocol (MCP) server

MCP server lets you use Articles Extractor within your AI workflows. Send API requests to trigger actions and receive real-time results. Take the received sessionId and use it to communicate with the MCP server. The message starts the Articles Extractor Actor with the provided input.

$curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{
$ "jsonrpc": "2.0",
$ "id": 1,
$ "method": "tools/call",
$ "params": {
$ "arguments": {
$ "startUrls": [
$ {
$ "url": "https://www.cnbc.com/2022/09/21/what-another-major-rate-hike-by-the-federal-reserve-means-to-you.html"
$ }
$ ],
$ "headerGeneratorOptions": {},
$ "proxyConfiguration": {
$ "useApifyProxy": true,
$ "apifyProxyGroups": [
$ "RESIDENTIAL"
$ ]
$ }
$},
$ "name": "web.harvester/articles-extractor"
$ }
$}'

The response should be: Accepted. You should received response via SSE (JSON) as:

$event: message
$data: {
$ "result": {
$ "content": [
$ {
$ "type": "text",
$ "text": "ACTOR_RESPONSE"
$ }
$ ]
$ }
$}

Configure local MCP Server via standard input/output for Articles Extractor

You can connect to the MCP Server using clients like ClaudeDesktop and LibreChat or build your own. The server can run both locally and remotely, giving you full flexibility. Set up the server in the client configuration as follows:

{
"mcpServers": {
"actors-mcp-server": {
"command": "npx",
"args": [
"-y",
"@apify/actors-mcp-server",
"--actors",
"web.harvester/articles-extractor"
],
"env": {
"APIFY_TOKEN": "<YOUR_API_TOKEN>"
}
}
}
}

You can further access the MCP client through the Tester MCP Client, a chat user interface to interact with the server.

To get started, check out the documentation and example clients. If you are interested in learning more about our MCP server, check out our blog post.