Linkedin Indeed Glassdoor Job Scraper avatar
Linkedin Indeed Glassdoor Job Scraper

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$20.00 / 1,000 results

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Linkedin Indeed Glassdoor Job Scraper

Linkedin Indeed Glassdoor Job Scraper

Developed by

ScrapeForge

ScrapeForge

Maintained by Community

πŸš€ Find your dream job instantly! Search Indeed, LinkedIn & Glassdoor simultaneously. Get hundreds of jobs with salary data, remote filters & company details in seconds. Perfect for job seekers, recruiters & HR teams. Works globally in 60+ countries. Fast, reliable & easy to use!

0.0 (0)

Pricing

$20.00 / 1,000 results

0

Total users

5

Monthly users

5

Runs succeeded

>99%

Issues response

1.5 hours

Last modified

6 days ago

You can access the Linkedin Indeed Glassdoor Job 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": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/sse?actors=gauravsaran/linkedin-indeed-glassdoor-job-scraper",
"--header",
"Authorization: Bearer <YOUR_API_TOKEN>"
]
}
}
}

Configure MCP server with Linkedin Indeed Glassdoor Job Scraper

You have a few options for interacting with the MCP server:

  • Use mcp.apify.com via mcp-remote from your local machine to connect and authenticate using OAuth or an API token (as shown in the JSON configuration above).

  • Set up the connection directly in your MCP client UI by providing the URL https://mcp.apify.com/sse?actors=gauravsaran/linkedin-indeed-glassdoor-job-scraper along with an API token (or use OAuth).

  • Connect to mcp.apify.com via Server-Sent Events (SSE), as shown below:

{
"mcpServers": {
"apify": {
"type": "sse",
"url": "https://mcp.apify.com/sse?actors=gauravsaran/linkedin-indeed-glassdoor-job-scraper",
"headers": {
"Authorization": "Bearer <YOUR_API_TOKEN>"
}
}
}
}

You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other 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.