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JobScan AI

Pricing

$10.00/month + usage

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JobScan AI

JobScan AI

Developed by

Bluelight Consulting

Bluelight Consulting

Maintained by Community

JobScan AI is a powerful solution for job search and information extraction, combining the intelligence of Generative AI and Google. This actor is designed to scrape job postings directly from Google and major job sites, unifying results into a structured and easy-to-use format.

0.0 (0)

Pricing

$10.00/month + usage

3

Total users

46

Monthly users

15

Runs succeeded

98%

Last modified

a month ago

You can access the JobScan AI 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.

$# Start Server-Sent Events (SSE) session and keep it running
<curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=bluelightco/jobscan-ai"
# Session id example output:
# event: endpoint
# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa

Using JobScan AI via Model Context Protocol (MCP) server

MCP server lets you use JobScan AI 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 JobScan AI Actor with the provided input.

$curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{
$ "jsonrpc": "2.0",
$ "id": 1,
$ "method": "tools/call",
$ "params": {
$ "arguments": {
$ "optional_keywords": [
$ "Software Engineer"
$ ],
$ "mandatory_keywords": [
$ "Remote",
$ "Full-time"
$ ],
$ "search_sites": [
$ "boards.greenhouse.io",
$ "jobs.lever.co",
$ "myworkdayjobs.com",
$ "careers.smartrecruiters.com",
$ "jobs.jobvite.com",
$ "careers.icims.com",
$ "angel.co",
$ "stackoverflow.com/jobs",
$ "weworkremotely.com",
$ "remotive.io",
$ "bamboohr.com",
$ "https://www.linkedin.com/jobs"
$ ]
$},
$ "name": "bluelightco/jobscan-ai"
$ }
$}'

The response should be: Accepted. You should received response via SSE (JSON) as:

$event: message
$data: {
$ "result": {
$ "content": [
$ {
$ "type": "text",
$ "text": "ACTOR_RESPONSE"
$ }
$ ]
$ }
$}

Configure local MCP Server via standard input/output for JobScan AI

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:

{
"mcpServers": {
"actors-mcp-server": {
"command": "npx",
"args": [
"-y",
"@apify/actors-mcp-server",
"--actors",
"bluelightco/jobscan-ai"
],
"env": {
"APIFY_TOKEN": "<YOUR_API_TOKEN>"
}
}
}
}

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.