Stop Babysitting Proxies. Scrape LinkedIn via REST.

import asyncio
import os
import httpx

API_KEY = os.environ["B2B_API_KEY"]
HANDLES = ["satyanadella", "patrickcollison", "sama", "darioamodei", "garrytan"]

async def scrape_profile(client: httpx.AsyncClient, username: str) -> dict:
    resp = await client.get(
        "https://api.linkedindataapi.com/v1/profile",
        params={"username": username},
        headers={"x-api-key": API_KEY},
        timeout=20.0,
    )
    resp.raise_for_status()
    return resp.json()["data"]

async def main():
    # Scrape in parallel — zero li_at cookies, zero residential proxies, zero browser RAM
    async with httpx.AsyncClient(limits=httpx.Limits(max_connections=20)) as client:
        profiles = await asyncio.gather(*(scrape_profile(client, h) for h in HANDLES))
        for p in profiles:
            print(f"{p['full_name']} | {p['headline']} | {p.get('location')}")

asyncio.run(main())

{
  "status": "ok",
  "data": {
    "name": "Stripe",
    "slug": "stripe",
    "domain": "stripe.com",
    "company_id": "2135371",
    "tagline": "Financial infrastructure for the internet.",
    "website": "https://stripe.com",
    "industry": "Financial Services & FinTech",
    "company_size": "5,001-10,000 employees",
    "headquarters": "South San Francisco, CA",
    "followers_count": 1482000,
    "specialties": [
      "Payments",
      "Financial Infrastructure",
      "Developer APIs",
      "Billing",
      "Fraud Prevention",
      "Global Payouts"
    ]
  },
  "freshness": {
    "cached": true,
    "source_fetched_at": "2026-11-04T19:34:38.353Z",
    "age_seconds": 56
  },
  "meta": {
    "request_id": "3db914ae-cee8-4ea6-bbbb-cf24dfede121",
    "endpoint": "/v1/company",
    "credits_charged": 10,
    "latency_ms": 22,
    "cache_hit": true
  }
}