Articles Extractor
3 days trial then $15.00/month - No credit card required now
Articles Extractor
3 days trial then $15.00/month - No credit card required now
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.
Web HarvesterActor Metrics
34 monthly users
5.0 / 5 (2)
17 bookmarks
>99% runs succeeded
Created in Jun 2023
Modified 20 hours 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.
1# Start Server-Sent Events (SSE) session and keep it running
2curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=web.harvester/articles-extractor"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1faUsing 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.
1curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{
2 "jsonrpc": "2.0",
3 "id": 1,
4 "method": "tools/call",
5 "params": {
6 "arguments": {
7 "startUrls": [
8 {
9 "url": "https://www.cnbc.com/2022/09/21/what-another-major-rate-hike-by-the-federal-reserve-means-to-you.html"
10 }
11 ],
12 "headerGeneratorOptions": {},
13 "proxyConfiguration": {
14 "useApifyProxy": true,
15 "apifyProxyGroups": [
16 "RESIDENTIAL"
17 ]
18 }
19},
20 "name": "web.harvester/articles-extractor"
21 }
22}'The response should be: Accepted. You should received response via SSE (JSON) as:
1event: message
2data: {
3 "result": {
4 "content": [
5 {
6 "type": "text",
7 "text": "ACTOR_RESPONSE"
8 }
9 ]
10 }
11}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:
1{
2 "mcpServers": {
3 "actors-mcp-server": {
4 "command": "npx",
5 "args": [
6 "-y",
7 "@apify/actors-mcp-server",
8 "--actors",
9 "web.harvester/articles-extractor"
10 ],
11 "env": {
12 "APIFY_TOKEN": "<YOUR_API_TOKEN>"
13 }
14 }
15 }
16}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.
