Google Jobs API

Google Jobs API uses /api/v1/search?engine=google_jobs API endpoint to scrape real-time results.

Google Jobs is a comprehensive job search feature embedded within Google's primary search engine, which aggregates job listings from various job boards, recruitment websites, and other platforms across the internet. Google Jobs API allows users to search for jobs across a wide range of industries, locations, and levels of experience.

Note: Google Jobs layout changed on 24th July, 2024. We are constantly working on supporting it and improving our parsers. There might be some changes during the next couple of days.

Key changes observed since the last version:

  • company_website and company_web_results_link are not present anymore. Let us know if you need it. We would need to implement a separate API to get extra information such as the company website and web reviews about the company.
  • Old filters such as chips, lrad, and ltype were removed. Use text search instead.
  • Seems gl, hl, google_domain and location/uule have less influence. All filters can be applied by text inside the q parameter.
  • Let us know if you observe other differences.

API Parameters

Search Query

  • Name
    q
    Required
    Required
    Description

    Parameter defines the query you want to search. Examples include:

    • Search by location: software engineer jobs in San Francisco
    • Search by major or field of study: biology major jobs
    • Search from a specific website: jobs from LinkedIn
    • Search by military occupational specialty (MOS) code: veteran jobs with MOS 11B
    • Search remote jobs: remote customer service jobs

Geographic Location

  • Name
    location
    Required
    Optional
    Description

    Parameter defines from where you want the search to originate. If several locations match the location requested, we'll pick the most popular one. Head to the Locations API if you need more precise control.

  • Name
    uule
    Required
    Optional
    Description

    Parameter is the Google encoded location you want to use for the search. SearchApi automatically generated the uule parameter when you use the location parameter but we allow you to overwrite it directly. uule and location parameters can't be used together.

Localization

  • Name
    google_domain
    Required
    Optional
    Description

    The default parameter google.com defines the Google domain of the search. Check the full list of supported Google google_domain domains.

  • Name
    gl
    Required
    Optional
    Description

    The default parameter us defines the country of the search. Check the full list of supported Google Jobs gl countries.

  • Name
    hl
    Required
    Optional
    Description

    The default parameter en defines the interface language of the search. Check the full list of supported Google hl languages.

Pagination

  • Name
    next_page_token
    Required
    Optional
    Description

    This parameter is used to retrieve the next page of results. It is returned in the response when there are more results to display. The next_page_token is a unique identifier for the next page of results. It is used to retrieve the next page of results.

Engine

  • Name
    engine
    Required
    Required
    Description

    Parameter defines an engine that will be used to retrieve real-time data. It must be set to google_jobs.

API key

  • Name
    api_key
    Required
    Required
    Description

    The api_key authenticates your requests. Use it as a query parameter (https://www.searchapi.io/api/v1/search?api_key=YOUR_API_KEY) or in the Authorization header (Bearer YOUR_API_KEY).

API Examples

Full Response

Full Response
GET
https://www.searchapi.io/api/v1/search?engine=google_jobs&q=AI+Engineer+in+New+York
Request
import requests

url = "https://www.searchapi.io/api/v1/search"
params = {
  "engine": "google_jobs",
  "q": "AI Engineer in New York"
}

response = requests.get(url, params = params)
print(response.text)
Response
{
  "search_metadata": {
    "id": "search_Rz4KNQmOp60YHLNroyWl8DBv",
    "status": "Success",
    "created_at": "2024-07-24T01:46:03Z",
    "request_time_taken": 2.19,
    "parsing_time_taken": 0.04,
    "total_time_taken": 2.23,
    "request_url": "https://www.google.com/search?q=AI+Engineer+in+New+York&oq=AI+Engineer+in+New+York&gl=us&hl=en&udm=8&jbr=sep:0",
    "html_url": "https://www.searchapi.io/api/v1/searches/search_Rz4KNQmOp60YHLNroyWl8DBv.html",
    "json_url": "https://www.searchapi.io/api/v1/searches/search_Rz4KNQmOp60YHLNroyWl8DBv"
  },
  "search_parameters": {
    "engine": "google_jobs",
    "q": "AI Engineer in New York",
    "google_domain": "google.com",
    "hl": "en",
    "gl": "us"
  },
  "jobs": [
    {
      "position": 1,
      "title": "Applied AI Engineer",
      "company_name": "BlackRock",
      "location": "New York, NY",
      "via": "via BlackRock Careers",
      "description": "About this role\n\nWhen BlackRock was started, its founders envisioned a company that combined the best of financial services with cutting edge technology. They imagined a business that would provide financial services to clients as well as technology services to other financial firms. The result of their vision is Aladdin, our industry leading, end-to-end investment management platform. Our technology empowers millions of investors to save for retirement, pay for college, buy a home and improve their financial wellbeing.\n\nData & AI\n\nData is at the heart of Aladdin. We have been employing AI methods for 10+ years and started our AI Lab in 2018. We have specialist leaders in fields including optimization, data science, machine learning and natural language processing. The ability to consume, store, analyze and gain insight from data has become a key component of our competitive advantage. The Aladdin AI team is responsible for the AI ecosystem within BlackRock. Our goal is to build and maintain a leading-edge AI platform for all users of the platform, notably investors, operations teams and data scientists. We focus on evolving our platform to deliver exponential scale to the firm, powering the future growth of Aladdin.\n\nWe are looking for highly motivated and determined engineers to join our AI Platform team. You will be working at one of the most recognized financial companies in the world while being part of an AI software development team responsible for transforming research into next generation applications and solutions.\n\nResponsibilities:\n• Design and build the next generation of the world's best investment management technology platform, focusing on managing various investment lifecycle processes and investment research.\n• Design and deploy advanced machine learning models.\n• Leverage and build AI/ML infrastructure to develop new platform services.\n• Integrate new AI services across the platform and Aladdin application ecosystem.\n• Refine business and functional requirements and translate them into scalable technical designs.\n• Collaborate with product engineering teams to implement comprehensive AI/ML-based solutions from start to finish.\n• Apply quality software engineering practices throughout the software development lifecycle.\n• Optimize the software delivery and workflow of the team.\n• Work with team members in a multi-office, multi-country environment.\n\nRequirements:\n• B.S./M.S. degree in Computer Science, Engineering, or a related subject area with 2-4 years of proven experience, or equivalent experience, for Associate positions and 4-8 years, or equivalent experience, for Vice President or Technical Architect positions.\n• Strong proficiency and hands-on experience in object-oriented programming with Java and Python.\n• Proficiency in designing and building scalable APIs and Microservices.\n• Familiarity with event-driven architecture and messaging frameworks like Kafka.\n• Experience with cloud platforms such as Azure (Preferred), AWS, or GCP.\n• Experience with NoSQL datastores like Cassandra\n• Knowledge of containerization and orchestration technologies such as Docker and Kubernetes.\n• Ability to reverse engineering existing applications.\n• Grit in the face of technical obstacles\n• Experience working in Agile development teams with excellent collaboration skills.\n\nNice to have:\n• Understanding of prompt engineering and prompt tuning.\n• Experience building applications using LLM frameworks such as LangChain, Llama Index, and Semantic Kernel.\n• Experience with vector databases like Faiss or Chroma\n• Knowledge of ML model evaluation to ensure consistent performance with changing data.\n• Familiarity with MLOps and ML model lifecycle pipelines.\n• Experience with ML model training and fine-tuning.\n\nFor New York City and California only the salary range for this position is $132,500 - $157,500. Additionally, employees are eligible for an annual discretionary bonus, and benefits including heath care, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.\n\nOur benefits\n\nTo help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.\n\nOur hybrid work model\n\nBlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.\n\nAbout BlackRock\n\nAt BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.\n\nThis mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.\n\nFor additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock\n\nBlackRock is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.\n\nBlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.",
      "job_highlights": [
        {
          "title": "Qualifications",
          "items": [
            "B.S./M.S. degree in Computer Science, Engineering, or a related subject area with 2-4 years of proven experience, or equivalent experience, for Associate positions and 4-8 years, or equivalent experience, for Vice President or Technical Architect positions",
            "Strong proficiency and hands-on experience in object-oriented programming with Java and Python",
            "Proficiency in designing and building scalable APIs and Microservices",
            "Familiarity with event-driven architecture and messaging frameworks like Kafka",
            "Experience with NoSQL datastores like Cassandra",
            "Knowledge of containerization and orchestration technologies such as Docker and Kubernetes",
            "Ability to reverse engineering existing applications",
            "Grit in the face of technical obstacles",
            "Experience working in Agile development teams with excellent collaboration skills",
            "Understanding of prompt engineering and prompt tuning",
            "Experience building applications using LLM frameworks such as LangChain, Llama Index, and Semantic Kernel",
            "Experience with vector databases like Faiss or Chroma",
            "Knowledge of ML model evaluation to ensure consistent performance with changing data",
            "Familiarity with MLOps and ML model lifecycle pipelines",
            "Experience with ML model training and fine-tuning"
          ]
        },
        {
          "title": "Benefits",
          "items": [
            "For New York City and California only the salary range for this position is $132,500 - $157,500",
            "Additionally, employees are eligible for an annual discretionary bonus, and benefits including heath care, leave benefits, and retirement benefits",
            "BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance",
            "To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about"
          ]
        },
        {
          "title": "Responsibilities",
          "items": [
            "Design and build the next generation of the world's best investment management technology platform, focusing on managing various investment lifecycle processes and investment research",
            "Design and deploy advanced machine learning models",
            "Leverage and build AI/ML infrastructure to develop new platform services",
            "Integrate new AI services across the platform and Aladdin application ecosystem",
            "Refine business and functional requirements and translate them into scalable technical designs",
            "Collaborate with product engineering teams to implement comprehensive AI/ML-based solutions from start to finish",
            "Apply quality software engineering practices throughout the software development lifecycle",
            "Optimize the software delivery and workflow of the team",
            "Work with team members in a multi-office, multi-country environment"
          ]
        }
      ],
      "extensions": [
        "1 day ago",
        "Full-time",
        "Health insurance"
      ],
      "detected_extensions": {
        "posted_at": "1 day ago",
        "schedule": "Full-time",
        "health_insurance": true
      },
      "apply_link": "https://careers.blackrock.com/job/new-york/applied-ai-engineer/47057/67882818480?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic",
      "apply_links": [
        {
          "link": "https://careers.blackrock.com/job/new-york/applied-ai-engineer/47057/67882818480?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic",
          "source": "BlackRock Careers"
        },
        {
          "link": "https://www.ziprecruiter.com/c/BlackRock/Job/Applied-AI-Engineer/-in-New-York,NY?jid=063eb5d38e8655b6&utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic",
          "source": "ZipRecruiter"
        },
        {
          "link": "https://www.linkedin.com/jobs/view/applied-ai-engineer-at-blackrock-3980693092?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic",
          "source": "LinkedIn"
        },
        {
          "link": "https://www.dice.com/job-detail/cd6adc35-6472-434a-b2f2-09483b6f7057?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic",
          "source": "Dice"
        },
        {
          "link": "https://jobs.growthbusiness.co.uk/job/applied-ai-engineer-at-blackrock-2?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic",
          "source": "Growth Business Jobs"
        },
        {
          "link": "https://www.themuse.com/jobs/blackrock/applied-ai-engineer?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic",
          "source": "The Muse"
        }
      ],
      "sharing_link": "https://www.google.com/search?ibp=htl;jobs&q=AI+Engineer+in+New+York&htidocid=2_EkUK_X1ZOKUz-CAAAAAA%3D%3D&hl=en-US&kgs=be9ef49329a75af8&shndl=-1&shem=vslcca&source=sh/x/job/li/m1/1#fpstate=tldetail&htivrt=jobs&htiq=AI+Engineer+in+New+York&htidocid=2_EkUK_X1ZOKUz-CAAAAAA%3D%3D"
    },
    ...
  ],
  "pagination": {
    "next_page_token": "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"
  }
}