LinkedIn Jobs Scraper

Scrape LinkedIn job postings as clean, structured JSON - title, company, location, posted date, a direct job URL and the company logo, with LinkedIn's own filters for date posted, workplace type, job type, experience level and salary. No LinkedIn login, no API key from LinkedIn.

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What you get per job

• Title, company and a clean company URL
• Location and posted date (both an ISO date and "2 days ago")
• Stable jobId and a canonical job URL
• Company logo and benefit tags (e.g. "Actively Hiring")
• With Include full description on: the full description, seniority level, employment type, job function and industries, plus applicant count and salary when shown

Use cases

• Recruiting & sourcing - pull every fresh opening for a role and location into a spreadsheet or ATS, deduped by jobId.
• Job-market intelligence - track hiring volume, remote vs on-site mix, seniority and salary bands across companies or cities over time.
• Competitor hiring signals - watch which roles a competitor is opening and where they are expanding.
• ATS / job-board feeds - keep an internal board or newsletter fresh with a scheduled run and the built-in date-posted filter.
• Lead generation - companies actively hiring for a stack are buyers for tools around that stack.

Features

• LinkedIn's real filters - date posted (24h / week / month), workplace (on-site / remote / hybrid), job type, experience level and minimum salary band.
• Automatic pagination - set max_results and the scraper pages through LinkedIn's guest jobs API until it collects that many, deduping as it goes.
• Optional full descriptions - flip on Include full description to enrich each job with its description and criteria.
• Any market - a location string like United States, Berlin, Germany or Remote.

Input

Field	Type	Default	Description
keyword	string	required	Job search terms, e.g. python developer.
location	string	United States	Location text, or blank for worldwide.
max_results	integer	50	How many jobs to collect across pages.
time_posted	select	Any	24h, week or month.
workplace	select	Any	onsite, remote or hybrid.
job_type	select	Any	full-time, part-time, contract, temporary, internship, volunteer, other.
experience	select	Any	internship, entry, associate, mid-senior, director, executive.
salary	select	Any	Minimum base salary band, 40k ... 200k.
sort	select	LinkedIn default	relevant or recent.
enrich	boolean	false	Also fetch each job's full description + criteria (first 25).
proxy_country	string	-	Exit-IP country (ISO-2), or blank to let the API pick.

Example output (one dataset item)

{
  "jobId": "4431992044",
  "title": "Python Developer",
  "company": "CACI International Inc",
  "companyUrl": "https://www.linkedin.com/company/caci-international-inc",
  "location": "Chantilly, VA",
  "postedDate": "2026-07-08",
  "postedText": "2 months ago",
  "jobUrl": "https://www.linkedin.com/jobs/view/4431992044/",
  "companyLogo": "https://media.licdn.com/dms/image/.../caci_international_inc_logo",
  "benefits": ["Actively Hiring"]
}

With Include full description on, each item also carries description, seniorityLevel, employmentType, jobFunction, industries, applicants and salary (when shown).

Output

Every job is pushed as one dataset item. Export the dataset as JSON, CSV, Excel or feed it straight into your own pipeline via the Apify API.

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