curl --request GET \
  --url 'https://api.keyapi.ai/api/v1/linkedin/get_job_detail?url=https%3A%2F%2Fwww.linkedin.com%2Fjobs%2Fview%2F3766410207&include_skills=false&include_hiring_team=false' \
  --header 'Authorization: Bearer <YOUR_API_KEY>'

import requests

response = requests.get(
    'https://api.keyapi.ai/api/v1/linkedin/get_job_detail',
    params={"url":"https://www.linkedin.com/jobs/view/3766410207","include_skills":false,"include_hiring_team":false},
    headers={'Authorization': 'Bearer <YOUR_API_KEY>'}
)
print(response.json())

const params = new URLSearchParams({"url":"https://www.linkedin.com/jobs/view/3766410207","include_skills":false,"include_hiring_team":false});

const response = await fetch(`https://api.keyapi.ai/api/v1/linkedin/get_job_detail?${params}`, {
  method: 'GET',
  headers: { 'Authorization': 'Bearer <YOUR_API_KEY>' }
});
const data = await response.json();
console.log(data);

HttpResponse<String> response = Unirest.get("https://api.keyapi.ai/v1/linkedin/get_job_detail")
  .header("Authorization", "Bearer <token>")
  .asString();

{
  "code": 0,
  "message": "success",
  "data": {
    "data": {
      "applies": 0,
      "benefits": [],
      "closed": true,
      "company_description": "Pave is the AI compensation platform that gives compensation and total rewards leaders the tools they need to take control of their programs, make decisions with confidence, and build credibility with every employee.\n\nPave Agent, your AI compensation analyst, delivers instant answers to complex questions grounded in your internal data and real-time market intelligence from 8,700+ companies.\n\nPave, the AI compensation platform, connects with your existing HR platforms so you can benchmark pay, price jobs, run merit cycles, and communicate total rewards in one place.",
      "company_id": "30617798",
      "company_linkedin_url": "https://www.linkedin.com/company/pave",
      "company_name": "Pave",
      "company_public_id": "pave",
      "employee_count": 295,
      "employee_range": "51 - 200",
      "experience_level": "Entry level",
      "expired": "2026-01-04 01:42:25",
      "follower_count": 62864,
      "hiring_team": {},
      "hq_address_line1": "1 Montgomery St",
      "hq_address_line2": "Floor 7",
      "hq_city": "San Francisco",
      "hq_country": "US",
      "hq_full_address": "1 Montgomery St, San Francisco, California 94104, US",
      "hq_postalcode": "94104",
      "hq_region": "California",
      "industries": [
        "Software Development"
      ],
      "job_description": "Who We Are\n\nAt Pave, we're building the industry’s leading compensation platform, combining the world's largest real-time compensation dataset with deep expertise in AI and machine learning. Our platform is perfecting the art and science of pay to give 8,500+ companies unparalleled confidence in every compensation decision.\n\nTop tier companies like OpenAI, McDonald’s, Instacart, Atlassian, Synopsys, Stripe, Databricks, and Waymo use Pave, transforming every pay decision into a competitive advantage. $190+ billion in total compensation spend is managed in our workflows, and 70% of Forbes AI 50 use Pave to benchmark compensation.\n\nThe future of pay is real-time & predictive, and we’re making it happen right now. We’ve raised $160M in funding from leading investors like Andreessen Horowitz, Index Ventures, Y Combinator, Bessemer Venture Partners, and Craft Ventures.\n\nThe Research & Development Org \n\nPave's R&D pillar includes our data science, engineering, information technology, product design, product management, and security teams. This organization builds, maintains, and secures a platform used by more than 8,500+ client organizations.\n\nCompensation strategy is broken down into 3 pillars - compensation bands, planning workflows, and total rewards communication. We build products that make these processes seamless for customers.\n\nOver the next year, our roadmap is focused on enhancing the entire compensation lifecycle: from philosophy definition to market trend analysis, band adjustments, merit cycles, and employee communication. We're seeking passionate engineers who are excited about building robust, data-rich systems that simplify complex compensation processes at scale.\n\nLearn more about our engineering principles here!\n\nWhat You'll Bring\n\n2+ years of full-time of engineering experience, ideally using modern web technologies such as TypeScript/Node.js/React, with at least some experience building data-intensive applications.Growing product intuition: You understand the value of building for user impact. You seek context from product partners and balance speed with thoughtful technical decisionsExecution-driven mindset: You thrive in fast-paced environments, bias toward action, and ship thoughtful solutions with maintainability and scalability in mind.Adaptability in ambiguity: You’re comfortable filling in gaps, validating direction through prototypes, and evolving your approach as you learn.Collaborative working style: You work well with product managers, designers, and fellow engineers, and care deeply about delivering value to users.Nice to have: Experience at B2B SaaS companies, especially during periods of rapid growth or platform expansion.\n\nOur stack includes: TypeScript, Node.js, MySQL, Prisma, and React, hosted on GCP\n\nCompensation, It's What We Do.\n\nSalary is just one component of Pave's total compensation package for employees. Your total rewards package at Pave will include equity, top-notch medical, dental, and vision coverage, an unlimited PTO policy, and many other region-specific benefits. Your level is based on our assessment of your interview performance and experience, which you can always ask the hiring manager about to understand in more detail. This salary range may include multiple levels.\n\nThe targeted cash compensation for this position is (level depends on experience and performance in the interview process): \n\nP2: $141,100 - $190,900\n\nP3: $166,000 - $225,400\n\nLife @ Pave \n\nSince being founded in 2019, Pave has established a robust global footprint. Headquartered in San Francisco's Financial District, we operate strategic regional hubs across New York City's Flatiron District, Salt Lake City, and the United Kingdom. We cultivate a vibrant, collaborative workplace culture through our hybrid model, bringing teams together in-person on Mondays, Tuesdays, Thursdays, and Fridays to foster innovation and strengthen professional relationships\n\nBenefits @ Pave\n\nAt Pave, career advancement drives everything—roles expand, responsibilities deepen, and compensation rises alongside your professional growth.\n\nWhat We Provide\n\nComplete Health Coverage: Comprehensive Medical, Dental and Vision coverage for you and your family, with plenty of options to suit your needs Time off & Flexibility: Flexible PTO and the ability to work from anywhere in the world for a month Meals & Snacks: Lunch & dinner stipends as well as fully stocked kitchens to fuel youProfessional Development: Quarterly education stipend to continuously growFamily Support: Robust parental leave to bond with your new familyCommuter Assistance: A commuter stipend to help you collaborate in person \n\nVision - Our vision is to unlock a labor market built on trust\n\nMission - Our team's mission is to build confidence in every compensation decision\n\nAre you ready to help our customers make smarter, more effective compensation decisions?",
      "job_functions": [
        "Engineering",
        "Information Technology"
      ],
      "job_id": "4310512612",
      "job_location": "New York, NY",
      "job_title": "Software Engineer",
      "job_type": "Full-time",
      "job_url": "https://www.linkedin.com/jobs/view/4310512612/",
      "posted": "2025-12-05 01:42:25",
      "remote_allow": false,
      "salary_details": {},
      "salary_display": "",
      "skills": null,
      "specialities": [
        "Compensation Benchmarking",
        "Compensation Data",
        "Compensation Management Software",
        "Compensation Workflows",
        "Total Rewards Communication"
      ],
      "views": 0
    }
  },
  "requestId": "da567eb8-2e2f-44b7-964e-65f6763264df"
}

{
  "code": 400,
  "message": "Bad Request",
  "data": {},
  "requestId": "2c59c78f-a0fc-4adc-8201-d801a05b8412"
}

{
  "code": 401,
  "message": "Unauthorized",
  "data": {},
  "requestId": "2c59c78f-a0fc-4adc-8201-d801a05b8412"
}

{
  "code": 402,
  "message": "Insufficient credits",
  "data": {},
  "requestId": "2c59c78f-a0fc-4adc-8201-d801a05b8412"
}

{
  "code": 429,
  "message": "Too Many Requests",
  "data": {},
  "requestId": "2c59c78f-a0fc-4adc-8201-d801a05b8412"
}

{
  "code": 500,
  "message": "Internal Server Error",
  "data": {},
  "requestId": "2c59c78f-a0fc-4adc-8201-d801a05b8412"
}