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LinkedIn Jobs API

Pricing

$19.99/month + usage

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LinkedIn Jobs API

LinkedIn Jobs API

Developed by

carvedai

carvedai

Maintained by Community

Get real-time job posting data without cookies. Filter companies by size, industry, URLs. Cut through noise with LLMs.

0.0 (0)

Pricing

$19.99/month + usage

12

Total users

129

Monthly users

20

Runs succeeded

>99%

Issues response

8.7 days

Last modified

2 months ago

You can access the LinkedIn Jobs API 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=carvedai/linkedin-jobs-api",
"--header",
"Authorization: Bearer <YOUR_API_TOKEN>"
]
}
}
}

Configure MCP server with LinkedIn Jobs API

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=carvedai/linkedin-jobs-api 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=carvedai/linkedin-jobs-api",
"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.