💼 LinkedIn Jobs Scraper

Pull fresh job postings from LinkedIn into a clean spreadsheet-ready dataset. Type in the roles you care about and the places you want to search, pick how recent the jobs should be, and get back every matching posting with its full description, company, salary, skills, applicant count and apply link.

No LinkedIn account, no login and no cookies needed. The Actor only reads job postings that LinkedIn shows publicly.

🚀 What can you use it for?

• Job hunting on autopilot: run a daily search for "Python Developer" in Bangalore, Pune and Remote, and get only the jobs posted in the last 24 hours.
• Recruitment and sales leads: find out which companies are hiring right now, for which roles and in which cities, and reach the person who posted the job.
• Hiring-market research: see which skills employers ask for most, how much experience they expect, and how crowded each role is.
• Competitor watch: track what positions a competitor is opening and where they are building teams.
• Job boards and newsletters: keep your own job feed filled with fresh, de-duplicated postings.

📦 What data do you get?

💼 Job title and LinkedIn job link	🏢 Company name, logo and LinkedIn page
📍 Location	📝 Full job description (plain text and formatted HTML)
🧠 Skills mentioned in the description	🎓 Experience asked for: minimum and maximum years, plus the exact line from the posting
💰 Salary range, currency and period (when the employer shows it)	📅 Posting date and "posted X days ago"
👥 Number of applicants and how crowded the job is (low / medium / high)	⚡ Easy Apply or external application, with the apply link
👔 Employment type (full-time, contract, internship…)	📊 Seniority level, plus a level worked out from the years of experience
🏭 Industry	🏠 Remote / hybrid / on-site, when it can be determined
🙋 Name, title and profile of the person who posted the job (when shown)	🔎 Which of your searches found the job, with a link to that search on LinkedIn

🎯 How to use it

1. Open the Actor and go to the Input tab.
2. Add one or more Keywords, e.g. Python Developer, Data Analyst.
3. Add one or more Locations, e.g. India, Bangalore, London, Worldwide.
4. Choose Date posted and how many jobs you want.
5. Click Start. When the run finishes, download your jobs as JSON, CSV, Excel, XML or HTML, or view them as a table.

Every keyword is searched in every location. Two keywords and three locations give you six searches. A job that shows up in more than one search is saved only once, and you can see every search that found it.

⬇️ Input

Keywords and locations

Field	What it does
Keywords	Job titles or search terms. Examples: Backend Developer, Product Manager, React Native, SAP FICO.
Locations	Countries, states, cities or Worldwide. Examples: India, Maharashtra, India, Berlin, Germany, United States.
Date posted	Any time, past 24 hours, past 7 days or past 30 days.

How many jobs

Field	What it does
Max jobs	Stop after this many unique jobs in total. Leave empty to collect everything the pages allow.
Pages per search	Each page holds 10 jobs. LinkedIn shows up to 100 pages (1,000 jobs) per search.
Start page	Skip the first pages, for example to continue where a previous run stopped.

Filters applied by LinkedIn

These narrow the search before any job is collected, so you only get, and pay for, jobs that match.

• Job type: full-time, part-time, contract, temporary, internship, volunteer, other
• Experience level: internship, entry level, associate, mid-senior, director, executive
• Workplace type: on-site, remote, hybrid
• Easy Apply only
• Fewer than 10 applicants
• Only these companies: LinkedIn company IDs, or company names
• Sort by: most recent or most relevant

Exclusions

• Exclude companies: skip employers you are not interested in, such as staffing agencies or your current employer.
• Exclude title words: skip titles containing words like Senior, Lead or Intern.
• Exclude locations: skip jobs in cities you don't want, e.g. Gurugram.

Extra options

Field	Default	What it does
Fetch job details	On	Adds the full description, salary, skills, experience, applicants, seniority, industry and recruiter. Turn it off for a quick list of titles, companies and links only.
Include description HTML	On	Keeps the formatted version of the description (bullets, bold text) next to the plain text.
Save only unique jobs	On	Turn off to save a job once for every search that found it.

Example input

{
  "keyword": ["Python Developer", "Backend Developer"],
  "location": ["India"],
  "date": "past7days",
  "maxItems": 100,
  "maxPages": 5,
  "experienceLevel": ["entry", "associate"],
  "jobTitleExclude": ["Senior", "Lead"]
}

⬆️ Output

Results are saved to the run's dataset. Open the Output tab to browse them as a table, or export them in the format you need. Two ready-made views are included:

• Overview: title, company, location, workplace, type, seniority, years of experience, salary, posting date, applicants, how to apply and the job link.
• Skills and requirements: skills, the experience line from the posting, industry, competition, who posted the job, the apply link and which searches found it.

Example job

{
  "jobId": "4475773826",
  "jobTitle": "Back End Developer (Pune, Chennai, Bangalore)",
  "jobUrl": "https://www.linkedin.com/jobs/view/4475773826/",
  "companyName": "Creospan Inc.",
  "companyId": "503768",
  "companyUrl": "https://www.linkedin.com/company/creospan/",
  "companyLogo": "https://media.licdn.com/dms/image/v2/C560BAQF-Mj9YDWoTVw/company-logo_100_100/...",
  "location": "Pune City, Maharashtra, India",
  "workplaceType": null,
  "employmentType": "Full-time",
  "seniorityLevel": "Associate",
  "experience": {
    "minYears": 3,
    "maxYears": null,
    "level": "Associate",
    "text": "Experience: 3+ Years"
  },
  "industry": "IT Services and IT Consulting",
  "salary": null,
  "postedDate": "2026-10-08",
  "postedTimeAgo": "8 hours ago",
  "applyType": "Easy Apply",
  "applyUrl": "https://www.linkedin.com/jobs/view/4475773826/",
  "applicants": {
    "count": 200,
    "competition": "high",
    "text": "Over 200 applicants"
  },
  "isClosed": false,
  "skills": ["Java", "Microservices", "Spring Boot", "REST", "SQL", "OOPS", "Multithreading", "Agile", "Scrum"],
  "insights": ["Actively Hiring"],
  "recruiter": {
    "name": "…",
    "title": "Senior Talent Acquisition Specialist",
    "profileUrl": "https://www.linkedin.com/in/…/"
  },
  "jobDescription": "Java Developer – Java, Microservices & Spring Boot\n\nExperience: 3+ Years\n\nLocation: Pune, Bangalore, Chennai ...",
  "jobDescriptionHtml": "<p>Java Developer – Java, Microservices &amp; Spring Boot</p><p><strong>Experience:</strong> 3+ Years</p> ...",
  "searchQuery": "Backend Developer - India",
  "matchedSearches": ["Backend Developer - India"],
  "sourceSearchUrl": "https://www.linkedin.com/jobs/search/?keywords=Backend%20Developer&location=India&f_TPR=r604800",
  "detailsFetched": true,
  "scrapedAt": "2026-10-08T18:23:08Z"
}

Good to know about the fields

• experience is read from the job title and description. "3–6 years of experience" becomes minYears: 3, maxYears: 6, and "5+ years" becomes minYears: 5, maxYears: null. text is the exact line it came from, so you can check it at a glance. Numbers that are not about the candidate, like "a company with 20 years of history", are left out.
• experience.level is worked out from the minimum years: under 2 years is Entry level, 2–4 years is Associate, 5 or more is Mid-Senior level.
• seniorityLevel is the level the employer picked on LinkedIn. Employers often leave it at a default, so experience.level or experience.minYears is usually the better guide when you're looking for fresher or 0–2 year roles.
• skills lists the technologies and skills named in the posting, such as Python, Django, Spring Boot, Unix shell scripting or OOPS.
• salary is filled only when the employer publishes a salary on LinkedIn, with the amounts as numbers plus the original text.
• applicants.count is a lower bound when LinkedIn says "Over 200 applicants". competition is low under 25 applicants, medium for 25–100 and high above 100.
• workplaceType is certain when you filter by exactly one workplace type. Otherwise it is worked out from the title, location and description, and left empty when the posting doesn't say.
• sourceSearchUrl opens the same search on LinkedIn, so you can see the results the job came from.
• Missing information is always null or an empty list, never an error. Your exports keep the same columns from run to run.

❓ FAQ

Do I need a LinkedIn account?

No.

How many jobs can I get?

LinkedIn shows up to 1,000 jobs per search, so each keyword and location pair can return up to 1,000. To collect more, add more keywords or split a large location into smaller ones, such as cities or states. For example:

• New York, San Francisco and Austin instead of United States
• London, Manchester and Edinburgh instead of United Kingdom
• Berlin, Munich and Hamburg instead of Germany
• Bangalore, Pune and Hyderabad instead of India
• Toronto, Vancouver and Montreal instead of Canada
• Sydney, Melbourne and Brisbane instead of Australia

How do I get only new jobs every day?

Set Date posted to Past 24 hours and schedule the Actor to run once a day in Apify Console. Each run gives you the jobs posted since the previous one.

Why are some salaries empty?

Many employers, especially outside the US, don't publish a salary on LinkedIn. The Actor fills the salary fields only when LinkedIn shows one.

How can I make runs faster and cheaper?

• Use Date posted and the LinkedIn filters, so fewer jobs need to be collected in the first place.
• Use the exclusion fields to skip companies, titles and locations you don't want.
• Turn off Fetch job details if a list of titles, companies and links is enough.
• Set Max jobs to the number you actually need.

Can I connect it to other tools?

Yes. You can send results to Google Sheets, Slack, Zapier, Make, n8n, Airtable and many other tools using Apify integrations, or trigger your own workflow with a webhook when a run finishes. You can also start runs and download results from your own code through the Apify API, using the apify-client package for Python or JavaScript.

💬 Feedback and support

Found a bug, missing a field or need a filter that isn't here? Open an issue in the Issues tab and we'll take a look.