Search and Extract LinkedIn Job Postings via API

import requests
from collections import defaultdict

# Track competitor hiring patterns by department
competitors = ["Stripe", "Square", "Adyen", "Checkout.com"]
departments = defaultdict(lambda: defaultdict(int))

headers = {"access-token": "YOUR_ACCESS_TOKEN"}

for company in competitors:
    cursor = None
    while True:
        params = {"company": company, "count": 25}
        if cursor:
            params["cursor"] = cursor

        resp = requests.get(
            "https://api.anysite.io/api/linkedin/search/jobs",
            headers=headers,
            params=params
        )
        data = resp.json()

        for job in data["jobs"]:
            title = job["title"].lower()
            if "engineer" in title or "developer" in title:
                departments[company]["Engineering"] += 1
            elif "sales" in title or "account" in title:
                departments[company]["Sales"] += 1
            elif "marketing" in title or "growth" in title:
                departments[company]["Marketing"] += 1
            elif "product" in title or "design" in title:
                departments[company]["Product"] += 1

        cursor = data.get("cursor")
        if not cursor:
            break

# Print hiring breakdown
for company, depts in departments.items():
    print(f"\n{company}:")
    for dept, count in sorted(depts.items(), key=lambda x: x[1], reverse=True):
        print(f"  {dept}: {count} open roles")

import requests

# Find companies hiring for roles that signal buying intent
# e.g. "data engineer" = building data infrastructure = needs tools
signal_roles = [
    "data engineer",
    "security engineer",
    "devops engineer",
    "platform engineer",
]

headers = {"access-token": "YOUR_ACCESS_TOKEN"}
prospects = []

for role in signal_roles:
    resp = requests.get(
        "https://api.anysite.io/api/linkedin/search/jobs",
        headers=headers,
        params={"title": role, "location": "United States", "count": 25}
    )
    data = resp.json()

    for job in data["jobs"]:
        prospects.append({
            "company": job["company"],
            "role": job["title"],
            "location": job["location"],
            "signal": role,
            "url": job["url"],
        })

print(f"Found {len(prospects)} buying-signal job postings")
for p in prospects[:10]:
    print(f"  {p['company']} hiring {p['role']} ({p['signal']})")