Tech News Article Scraper
Pricing
Pay per event
Tech News Article Scraper
Tech News Article Scraper is a simple yet powerful tool to extract news articles from a variety of popular news websites. Supported The Verge, CNET, Wired, TechCrunch, Ars Technica
0.0 (0)
Pricing
Pay per event
2
Monthly users
5
Runs succeeded
>99%
Last modified
a month ago
You can access the Tech News Article 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.
1# Start Server-Sent Events (SSE) session and keep it running
2curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=inquisitive_sarangi/news-article-scraper"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1faUsing Tech News Article Scraper via Model Context Protocol (MCP) server
MCP server lets you use Tech News Article Scraper 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 Tech News Article Scraper 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 "source": "www.wired.com",
8 "proxy": {
9 "useApifyProxy": false
10 },
11 "maxConcurrency": 5,
12 "maxRequestsPerMinute": 200,
13 "maxRecords": 1
14},
15 "name": "inquisitive_sarangi/news-article-scraper"
16 }
17}'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 Tech News Article Scraper
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 "inquisitive_sarangi/news-article-scraper"
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.
Pricing
Pricing model
Pay per eventThis Actor is paid per result. You are not charged for the Apify platform usage, but only a fixed price for each dataset of 1,000 items in the Actor outputs.
Actor start per 1 GB
$0.010
Flat fee for starting an Actor run for each 1 GB of memory.
Actor Per Article
$0.015
Flat fee per article result scraped
Actor per navigation url
$0.005
Flat fee per url navigation. Charged only for nagivational urls the actor need to follow and not for individual article urls.
