LinkedIn Jobs Scraper

What does LinkedIn Jobs Scraper do?

LinkedIn Jobs Scraper extracts job listings from LinkedIn's public job search API. It returns job titles, companies, locations, salaries, application counts, and full job descriptions from LinkedIn's public guest listings without requiring login or cookies.

Try it now: Search for software engineer jobs, data analyst positions, or any title across different locations worldwide.

Why use LinkedIn Jobs Scraper?

• No login required — scrapes LinkedIn's public guest job search API
• Comprehensive data — extract titles, companies, locations, salaries, descriptions, seniority levels, job types
• Flexible filtering — search by keywords, location, experience level, work type, posting date
• Bulk operations — scrape hundreds of job listings in a single run
• API access — integrate job data into your applications, dashboards, and workflows via the Apify API
• Scheduled runs — automate job monitoring and alert systems

How to use LinkedIn Jobs Scraper

1. Open the Actor on the Apify platform or via API
2. Set search parameters:
   • Enter job title(s) or keywords (e.g., "software engineer", "data analyst")
   • Specify location(s) (e.g., "United States", "Germany")
   • Optionally filter by experience level, work type (remote/onsite/hybrid), posting date
3. Configure options:
   • Set maximum jobs to scrape (1-1000, default 25)
   • Enable/disable job descriptions (impacts run time and cost)
   • Choose proxy mode (auto/always/never)
4. Run the Actor — results are saved to the dataset
5. Download or integrate results in JSON, CSV, Excel, or other formats

Input parameters

Parameter	Type	Required	Description
keywords	string	No	Job title or skills, e.g. "data analyst". Several searches: "python; golang". Aliases accepted: keyword, query.
location	string	No	City, region or country, e.g. "Austin, TX". Empty = worldwide.
locations	array	No	Extra locations for the same search, e.g. ["London", "Manchester"].
datePosted	string	No	Filter: past24h, pastWeek, pastMonth, or leave empty for all
workType	array	No	Filter by: onsite, remote, hybrid
experienceLevel	array	No	Filter by level: internship, entry_level, senior, manager, etc.
jobType	array	No	Filter by: full-time, part-time, contract, temporary, internship, volunteer
titleIncludes	array	No	Keep only jobs whose title contains one of these words or phrases, e.g. ["data analyst", "bi"]. Case-insensitive, whole words.
titleExcludes	array	No	Drop jobs whose title contains one of these words, e.g. ["senior", "staff", "intern"]. Case-insensitive, whole words; Sr. is not senior, so list both if needed.
excludeCompanies	array	No	Drop jobs from these companies, e.g. ["Deloitte"]. Whole-name match, case-insensitive.
externalApplyOnly	boolean	No	Return only jobs that apply on the company's own site. Fetches the detail page for each candidate.
maxJobs	number	No	Maximum jobs to scrape (default 25, max 1000)
includeDescription	boolean	No	Fetch full job descriptions (default true; costs more, takes longer)
searchUrls	array	No	Paste LinkedIn job search URLs; parameters are extracted and applied
proxyMode	string	No	auto (direct first), always (residential), or never (default: auto)

Output

Each job is returned as a single JSON object:

{
  "jobId": "4465379983",
  "url": "https://www.linkedin.com/jobs/view/4465379983",
  "title": "Senior Software Engineer - Python",
  "company": "Venmo",
  "companyUrl": "https://www.linkedin.com/company/venmo",
  "location": "Austin, TX",
  "postedAt": "2026-09-10",
  "postedText": "2 weeks ago",
  "salary": "$120,000 - $150,000",
  "applicants": 163,
  "seniority": "Senior",
  "employmentType": "Full-time",
  "jobFunction": "Software Development",
  "industries": ["Technology", "Software Development"],
  "description": "We are seeking a senior Python engineer...",
  "descriptionHtml": "<p>We are seeking a senior Python engineer...</p>",
  "easyApply": true,
  "keyword": "software engineer",
  "searchLocation": "United States",
  "scrapedAt": "2026-09-28T10:30:45.123Z"
}

You can download the dataset in JSON, CSV, Excel, HTML, or other formats directly from the platform.

Data fields

Field	Description
jobId	LinkedIn job posting ID
url	Direct link to the job on LinkedIn
title	Job position title
company	Hiring company name
companyUrl	Link to company's LinkedIn profile
location	Job location
postedAt	Job posting date (ISO format)
postedText	Relative time text (e.g., "2 weeks ago")
salary	Pay range written in the posting text (e.g. $143,500.00 - $212,850.00 Annually), copied as written. LinkedIn's public pages have no structured salary field, so this is null for postings that state no pay range.
applicants	Number of applicants (if shown)
seniority	Required seniority level
employmentType	Full-time, Part-time, Contract, etc.
jobFunction	Primary job category (null when LinkedIn does not show it on the posting)
industries	Industry categories, as a list (null when not shown)
description	Full job description (plain text)
descriptionHtml	Job description with HTML markup
applyType	external (Apply on the company site) or null; the public job page rarely shows a LinkedIn Easy Apply marker, so easyApply is reported only when it does
applyUrl	The company's application link, only when the posting markup carries one that leaves LinkedIn (often null)
easyApply	true when applyType is easyApply
keyword	Search keyword used to find job
searchLocation	Location parameter in search
scrapedAt	Timestamp when job was scraped

Pricing

Cost per job: $0.001 (1/1000 of a USD cent)

• Without descriptions: scraping ~50 jobs costs ~$0.05
• With descriptions: scraping ~25 jobs costs ~$0.03 (detail pages are smaller than full page scrapes)
• Bulk runs: scraping 500 jobs with descriptions costs ~$0.50

Pricing depends on your Apify plan; free tier includes up to 50 platform runs per month.

Tips and advanced options

• Batch searches: Combine multiple keywords and locations in one run to reduce startup costs
• Disable descriptions: If you only need job titles and companies, turn off descriptions to cut costs by 50%
• Use search URLs: Paste a LinkedIn job search URL with complex filters instead of manually entering parameters
• Proxy mode: Use auto mode (default) for cost efficiency; switch to always if direct requests are blocked
• Scheduling: Run the Actor daily to monitor new jobs or track hiring trends

Limitations

• Public data only — scrapes publicly visible guest job listings; does not use login or cookies
• Search cap — LinkedIn caps search results at approximately 1,000 jobs per query
• Some fields optional — salary and applicant counts only appear when LinkedIn displays them
• Refresh delays — job data may lag by a few hours after posting
• Rate limiting — LinkedIn may throttle requests during high-volume scraping (handled with proxy escalation)
• Regional restrictions — some job listings may be region-locked and not available via guest API

Legal notice

This tool scrapes publicly available data from LinkedIn's guest job search API. Users are responsible for ensuring compliance with:

• LinkedIn's Terms of Service
• LinkedIn's Acceptable Use Policy
• Local data protection laws (GDPR, CCPA, etc.)

Do not:

• Scrape private profile information
• Bypass authentication or access restrictions
• Use data for discriminatory purposes
• Violate LinkedIn's terms or local laws

The data returned is public information and the user assumes full responsibility for its use.

FAQ

Q: Does this require a LinkedIn account? A: No. It uses LinkedIn's public guest job search API, same as anyone can access in a browser without logging in.

Q: Can I scrape millions of jobs? A: LinkedIn's search results are capped at ~1,000 jobs per query. For multiple queries, batch them together in a single run.

Q: How do I get job descriptions? A: Enable the "Include job descriptions" option in the input. This fetches the detail page for each job (additional cost).

Q: What if I get blocked? A: The Actor handles blocks automatically in auto mode by escalating to residential proxies. Use proxyMode: always for guaranteed access.

Q: Can I filter by salary range? A: Not directly in the input schema, but LinkedIn's job listings include salary data when available. Filter results post-scrape.

Q: How often can I run this? A: No built-in limits. Schedule daily runs, hourly checks, or bulk one-time scrapes as needed.

Integrations

• n8n — Automate job alerts and notifications
• Make/Zapier — Pipe jobs into your CRM or email
• Google Sheets — Use the Apify Google Sheets integration to append jobs to a spreadsheet
• Slack — Send new job alerts to your team

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Support

Found a bug? Have questions? ../../issues or visit the Apify community forum.

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Feedback

• Found a bug or want a feature? Open an issue on the Issues tab.
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