LinkedIn Jobs Scraper

💼 LinkedIn Jobs Scraper

Pull public LinkedIn job search results into a dataset you can schedule, export, and hand to a recruiting or research workflow.

Built for talent teams, market researchers, and anyone tracking hiring in the open. Paste a public jobs search, or fill in the filters and leave the URL list empty.

✨ Features

• 🔗 Accepts one or many public LinkedIn jobs search URLs. When urls is set, the filter fields below are ignored.
• 🔎 Runs from filters alone: keywords, location, geoId, distance, datePosted, companyIds, and under10Applicants.
• ♻️ autoConvertToAiSearch turns old experience, job type, and workplace codes from a URL into words on the keyword search. Date posted, company, easy apply, and under-10-applicants stay as URL filters.
• 🏢 scrapeCompany loads each employer's public company page and adds the about text, the website, and an exact employee count when the page publishes one.
• 🗺️ splitByLocation plus splitCountry repeats the search across major cities in that country and drops duplicate job ids. The city replaces location and geoId.
• 🎯 limitPerSource caps jobs per search (and per city when a search is split). The default is 20; LinkedIn returns at most 1000 jobs per search.
• 🛟 A URL that is not a LinkedIn jobs search, or a city split with no country, is skipped and listed under failedInputs in the run's OUTPUT record (no error rows in your dataset). A real search or job page that does not come back cleanly is retried on a new session. The run does not save a title-only row.

🚀 Why teams use this

Request-based fetches, not a browser session, so a search of public postings stays a normal actor run you can put on a schedule. Point a daily run at a past-24-hours search URL (datePosted past24Hours, or f_TPR=r86400 on a URL) and collect what was posted since yesterday.

Every saved job includes the public description from the job page. If that page comes back without the description, the actor opens a new session and tries the public job view before giving up. With scrapeCompany on, a job is saved only when the company page also yields an about blurb, a website, or an exact headcount.

A single search is sized for a 1 GB run. Raise memory when you pass many URLs or turn on city splitting, because each search paginates on its own.

💡 Use cases

• Build a job board or alert feed from LinkedIn job searches.
• Track which companies are hiring for a role and where.
• Analyse salaries, seniority, and remote share for a job market.
• Generate sales leads from companies that are hiring.

🧪 Example input

{
  "limitPerSource": 20,
  "urls": [
    "https://www.linkedin.com/jobs/search/?position=1&pageNum=0"
  ]
}

🧾 Sample output

One item from a real run of the example input, shortened. Long text is cut and lists show their first entries.

{
  "id": "4384671812",
  "link": "https://www.linkedin.com/jobs/view/cashier-at-the-home-depot-4384671812?position=1&pageNum=0&refId=lXK1dFrGNJl3IKILHSsZFA%3D%3D&trackingId=YvueRfhRvUo0stZMro…",
  "title": "Cashier",
  "companyName": "The Home Depot",
  "companyLinkedinUrl": "https://www.linkedin.com/company/the-home-depot?trk=public_jobs_topcard-org-name",
  "companyLogo": "https://media.licdn.com/…",
  "location": "Syosset, NY",
  "salaryInfo": [
    "$17.50/hr",
    "$18.50/hr"
  ],
  "postedAt": "2026-03-14",
  "benefits": [
    "Actively Hiring"
  ],
  "descriptionHtml": "78092BR<br/><br/><strong>Job Description<br/><br/></strong><strong>Position Purpose:<br/><br/></strong>Cashiers play a critical customer service role by prov…",
  "descriptionText": "78092BR Job Description Position Purpose: Cashiers play a critical customer service role by providing customers with fast, friendly, accurate and safe servic…",
  "applicantsCount": "47",
  "seniorityLevel": "Not Applicable",
  "employmentType": "Full-time",
  "industries": "Consumer Services",
  "salaryInsights": "This range is provided by The Home Depot. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.",
  "applyMethod": "Offsite",
  "companyDescription": "The Home Depot, the world’s largest home improvement specialty retailer, values and rewards dedicated, knowledgeable, and experienced professionals. We opera…",
  "companyWebsite": "http://www.careers.homedepot.com",
  "companyEmployeesCount": 142982
}

📥 Input

Industry, function, and title codes in a URL (f_I, f_F, f_T, and similar) are not converted and are not sent. Put those ideas in keywords yourself.

📤 Output

A field is present only when the public page contains it. Empty values are left off the item. A real false or 0 would be kept.

Recruiter name, title, photo, and profile URL are not on the logged-out job page, so jobPosterName, jobPosterTitle, jobPosterPhoto, and jobPosterProfileUrl are not returned. expireAt is omitted for the same reason: the public job page does not include that timestamp.

💰 Pricing

You pay $0.0015 per job saved to the dataset, plus platform usage (compute and proxy traffic). Company details (scrapeCompany) are included at no extra charge.

Example: 1,000 jobs cost $1.50 in event fees plus platform usage. In our test runs platform usage was about $0.11 to $0.12 per 1,000 jobs. The default 20-job search costs $0.03 in event fees.

If you set a maximum cost per run, the run saves as many jobs as that budget pays for and then stops cleanly.