Google Jobs Scraper avatar
Google Jobs Scraper

Pricing

$20.00/month + usage

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Google Jobs Scraper

Google Jobs Scraper

Developed by

Orgupdate

Orgupdate

Maintained by Community

Imagine an Indeed Jobs Scraper, Linkedin Jobs Scraper, and Google Jobs Scraper and many more rolled into one. This scraper extracts real-time job postings at scale from any active Google Jobs search results from all over the world. Your ultimate market intelligence tool!

5.0 (5)

Pricing

$20.00/month + usage

6

Total users

28

Monthly users

19

Runs succeeded

92%

Last modified

6 days ago

You can access the Google Jobs 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.

{
"mcpServers": {
"local-actors-mcp-server": {
"command": "npx",
"args": [
"-y",
"@apify/actors-mcp-server",
"--actors",
"orgupdate/google-jobs-scraper"
],
"env": {
"APIFY_TOKEN": "<YOUR_API_TOKEN>"
}
}
}
}

Configure MCP server with Google Jobs Scraper

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=orgupdate/google-jobs-scraper",
"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.