search_jobs
linkedin.comSearches https://www.linkedin.com public job listings with job type, experience, workplace, salary, and recency filters. Returns each job card enriched inline with its complete posting description and available position details.
Playground
Runs on Notte and spends your workspace credits — what comes back is the live response, not a sample.
What is search_jobs?
Searches https://www.linkedin.com public job listings with job type, experience, workplace, salary, and recency filters. Returns each job card enriched inline with its complete posting description and available position details. It runs on Notte's browser infrastructure and returns structured JSON, so you can call it like any other API — pass keywords, location, job_type, experience_level, workplace_type, salary_range, date_posted, start and get the result back without maintaining a scraper.
Response
{
"jobs": [
{}
],
"count": 0,
"start": 0,
"source": "<string>",
"keywords": "<string>",
"location": "<string>",
"next_start": 0,
"filters_applied": {}
}Call it
curl --location 'https://us-prod.notte.cc/functions/5b862642-e24d-4478-a8a5-1ed7466de96d/runs/start' \
--header 'x-notte-api-key: YOUR_API_KEY' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer YOUR_API_KEY' \
--data '{
"function_id": "5b862642-e24d-4478-a8a5-1ed7466de96d",
"variables": {
"keywords": "software engineer",
"location": "United States",
"job_type": "",
"experience_level": "",
"workplace_type": "",
"salary_range": "",
"date_posted": "r604800",
"start": 0
}
}'Ask an agent
Paste this into Claude Code, Cursor or any MCP client to have an agent call this function for you.
Use the Anything API MCP server (https://anything.notte.cc/mcp). Call run(function_id="5b862642-e24d-4478-a8a5-1ed7466de96d") — the "search_jobs" function, which searches https://www.linkedin.com public job listings with job type, experience, workplace, salary, and recency filters. Returns each job card enriched inline with its complete posting description and available position details.. It takes keywords (str), location (str), job_type (str), experience_level (str), workplace_type (str), salary_range (str), date_posted (str), start (int). Return the result as structured JSON.