Google News Scraper: Real-Time (Pay per results) ๐Ÿ“ฐโšก avatar
Google News Scraper: Real-Time (Pay per results) ๐Ÿ“ฐโšก

Deprecated

Pricing

$4.99 / 1,000 results

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Google News Scraper: Real-Time (Pay per results) ๐Ÿ“ฐโšก

Google News Scraper: Real-Time (Pay per results) ๐Ÿ“ฐโšก

Deprecated

Developed by

Storm_Scraper

Storm_Scraper

Maintained by Community

Unlock the power of the Google News scraper tool! ๐Ÿ“ฐโœจ Effortlessly gather news articles based on your chosen Keyword or topic ๐Ÿ”. Get key details like the title ๐Ÿ“ source ๐ŸŒ, publication time โฐ, images ๐Ÿ–ผ๏ธ, & direct links to the full articles ๐Ÿ”—perfect for staying informed and ahead of the curve! ๐Ÿš€

0.0 (0)

Pricing

$4.99 / 1,000 results

1

Total users

1

Monthly users

1

Last modified

5 months ago

You can access the Google News Scraper: Real-Time (Pay per results) ๐Ÿ“ฐโšก programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, youโ€™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",
"scrapestorm/google-news-scraper-real-time-pay-per-results"
],
"env": {
"APIFY_TOKEN": "<YOUR_API_TOKEN>"
}
}
}
}

Configure MCP server with Google News Scraper: Real-Time (Pay per results) ๐Ÿ“ฐโšก

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=scrapestorm/google-news-scraper-real-time-pay-per-results",
"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.