Linkedin Search Jobs Scraper

LinkedIn Search Jobs Scraper – Automated LinkedIn Job Data Extraction Tool

LinkedIn Search Jobs Scraper is a powerful automation tool built to extract job listings directly from LinkedIn search results. It helps recruiters, analysts, and developers collect structured job data at scale. This LinkedIn jobs scraper simplifies job scraping, supports job data extraction, and enables seamless integration into your workflow. 🚀

🆘 Support & Feedback

🐞 Bug reports: Open a ticket in the repository's Issues section

✨ Custom solutions or feature requests: Contact our team
📧 Email: dev.scraperengine@gmail.com

We welcome improvements, performance suggestions, and feature enhancements for this LinkedIn scraping tool.

🌟 Key Features

Feature	Description
Targeted LinkedIn Job Scraping	Extract jobs directly from LinkedIn search URLs with keyword and location filters.
Structured Job Data Extraction	Collect job title, company name, location, description, and posting date.
Pagination Support	Automatically navigates multiple result pages for large-scale job scraping.
Scalable Automation	Designed for recruiters, HR tech platforms, and job market analytics.
Clean Output Format	Returns structured JSON for easy API integration and workflow automation.
Reliable Data Collection	Optimized LinkedIn scraper logic ensures consistent and stable extraction.

📥 Input

{
  "proxyConfiguration": {
    "useApifyProxy": false
  },
  "startUrls": [
    "software engineer, United States"
  ],
  "sortOrder": "relevant",
  "maxJobs": 10
}

📤 Output

{
    "id": "4375061855",
    "criteria": [
      {
        "title": "Seniority level",
        "value": "Associate"
      },
      {
        "title": "Employment type",
        "value": "Full-time"
      },
      {
        "title": "Job function",
        "value": "Engineering"
      },
      {
        "title": "Industries",
        "value": "Technology, Information and Internet"
      }
    ],
    "company": "LinkedIn",
    "location": "Mountain View, CA",
    "title": "Software Engineer - Frontend (DPX)",
    "link": "https://www.linkedin.com/company/linkedin?trk=public_jobs_topcard-org-name",
    "postedTimeAgo": "1 week ago",
    "numberOfApplicants": "Over 200 applicants",
    "description": "Company Description LinkedIn is the worlds largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed. Join us to transform the way the world works. Job Description Job Description: At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Responsibilities: You will own the front-end development for one or more of our products and collaborate with visual/interaction designers, other engineers, and product managers to launch new products, iterate on existing features, and build a world-class user experience. You will implement cutting-edge technologies and will be writing state-of-the-art code to keep LinkedIn at the cutting edge of current technology. Your specific expertise will be required to make the site delightful, secure, performant, and accessible to all our members. Qualifications Basic Qualifications: BA/BS in Computer Science or related technical field or equivalent practical experience 1+ years of industry experience in software design, development, and algorithm related solutions Experience programming in languages such as Javascript, HTML, CSS, Python, Java, etc. Preferred Qualifications: 2+ years of relevant work experience . MS or PhD in Computer Science or related technical discipline . Experience writing clean JavaScript including experience with modern frameworks (Angular/Ember/React) and debugging tools (Chrome Dev Tools, etc. ) Expert-level knowledge of Ember. Knowledge of (and a passion for) current trends and best practices in front-end architecture, including performance, accessibility, security and usability. Prior experience building public API's with Java. Experience building large-scale consumer facing products. Suggested Skills: Javascript HTML/CSS Web Development Advanced Programming Skills You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $102,000 - $167,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: https://careers.linkedin.com/benefits. Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: Documents in alternate formats or read aloud to you Having interviews in an accessible location Being accompanied by a service dog Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency. Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.",
    "job": {
      "id": "4375061855",
      "link": "https://www.linkedin.com/jobs/view/software-engineer-frontend-dpx-at-linkedin-4375061855",
      "title": "Software Engineer - Frontend (DPX)",
      "company": "LinkedIn",
      "location": "Mountain View, CA"
    }
  },

This clean output makes LinkedIn job data extraction easy to integrate into dashboards, CRM systems, or recruitment automation tools.

💻 How to Use

1. Open the Apify Console and select the Linkedin Search Jobs Scraper actor.

2. Enter your LinkedIn job search URL in the input field.

3. Adjust filters such as keyword, location, and maximum results.

4. Click “Start” to run the LinkedIn scraping process.

5. Download structured job data from the output dataset in JSON format.

The process takes only a few minutes depending on result volume.

💡 Best Use Cases

The Linkedin Search Jobs Scraper is ideal for recruiters, HR agencies, job aggregators, and labor market analysts. It supports automated LinkedIn job scraping, job trend analysis, lead generation, and recruitment pipeline building through accurate job data extraction. 📊

Disclaimer

This tool is intended for educational and research purposes only. Users are responsible for complying with LinkedIn’s terms of service and applicable data regulations before performing LinkedIn job scraping. The developers assume no liability for misuse, policy violations, or unauthorized data extraction activities conducted with this LinkedIn scraping tool. Always ensure lawful and ethical data usage.