LinkedIn data in the OpenAI Agents SDK. Pay per record.

import os, requests

BASE = "https://apiforagents.dev"
KEY = os.environ["AFA_KEY"]  # an API key from the console, or an agent's token

def linkedin(op: str, **params) -> dict:
    """Call one LinkedIn operation. Add estimateOnly=True for a free quote."""
    r = requests.post(
        f"{BASE}/v1/linkedin",
        headers={"Authorization": f"Bearer {KEY}"},
        json={"op": op, **params},
        timeout=120,
    )
    body = r.json()
    if r.status_code != 200:
        raise RuntimeError(f"{body.get('error')}: {body.get('error_description')}")
    return body  # read body["coverage"] and body["notes"] before body["data"]

from agents import Agent, Runner, function_tool

@function_tool
def linkedin_jobs(query: str, location: str, limit: int = 10) -> dict:
    """Search LinkedIn job listings by title keyword and location."""
    return linkedin("jobs", query=query, locations=[location], limit=limit)

agent = Agent(name="Recruiter", instructions="Use the tools; never invent data.", tools=[linkedin_jobs])
print(Runner.run_sync(agent, "Ten data engineering jobs in Berlin posted this week").final_output)