No-Cookie LinkedIn Data API in Python & TypeScript: Enrich Profiles, Posts & Jobs at Scale (2026)

import asyncio
import httpx

API_BASE = "https://api.linkedindataapi.com"

async def fetch_profile(client: httpx.AsyncClient, sem: asyncio.Semaphore, slug: str, api_key: str):
    async with sem:
        r = await client.get(
            f"{API_BASE}/v1/profile",
            params={"username": slug},
            headers={"x-api-key": api_key},
            timeout=15.0,
        )
        if r.status_code == 404:
            return {"username": slug, "status": "not_found", "credits_cost": 0}
        if r.status_code == 402:
            body = r.json()
            raise RuntimeError(f"Out of credits ({body.get('credits_remaining')} left). Top up: {body.get('topup_url')}")
        r.raise_for_status()
        return r.json()["data"]

async def enrich_batch(slugs: list[str], api_key: str):
    sem = asyncio.Semaphore(10)
    async with httpx.AsyncClient() as client:
        return await asyncio.gather(*(fetch_profile(client, sem, s, api_key) for s in slugs))

if __name__ == "__main__":
    results = asyncio.run(enrich_batch(["satyanadella", "sama", "patrickc"], "b2b_live_your_api_key"))
    for p in results:
        print(p.get("full_name"), "->", p.get("headline"))