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💼 LinkedIn Jobs Scraper – Search, Full Details, Salaries & Company Intel

Extract comprehensive public LinkedIn job postings — titles, companies, full HTML/text descriptions, salary insights, recruiter contacts, seniority levels, employment types, and company intelligence — directly from LinkedIn's public job search. Includes automated AI search query translation and company profile enrichment. No login required. Residential proxy ready. Pay per successful result — from $1.00 to $2.00 per 1,000 successful jobs ($0.02 actor start).

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💡 What is the LinkedIn Jobs Scraper?

This actor extracts public job posting data from LinkedIn by querying LinkedIn's public guest jobs search and job detail endpoints using a Chrome-impersonating HTTP client (curl_cffi). It bypasses the 25-jobs-per-page browser limitations and extracts rich, structured job data at high speeds with a multi-strategy parser:

1. Public Guest Search Engine — queries LinkedIn's high-speed guest search streams (/jobs-guest/jobs/api/seeMoreJobPostings/search), paginating seamlessly across offsets with zero login or session cookies required.
2. Deep Detail & Criteria Hydration — visits each posting's public detail endpoint (/jobs-guest/jobs/api/jobPosting/{id}) to extract full semantic HTML descriptions, plain-text descriptions, applicant counts, seniority levels, employment types, job functions, and industries.
3. Automated AI Search Backward Compatibility — converts legacy filters (Experience level, Job type, Workplace arrangement) into natural language keywords for full compatibility with LinkedIn's latest AI search updates.
4. Company Intelligence Engine — optionally extracts company overviews, corporate websites, and employee headcounts directly from hiring organization profiles.

On top of core listing data, the actor mines the posting for salary ranges, hiring badges (e.g. "Actively Hiring"), recruiter profiles (name, title, photo, LinkedIn URL), and external application links, making it indispensable for recruiters, job board aggregators, market analysts, and sales intelligence teams.

No LinkedIn login, no password, and no cookies required. You are charged only for successful job retrievals — empty queries, blocked requests, or invalid postings incur no cost.

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🚀 Key Features

Feature	Description
Direct URL & AI Filter Modes	Provide any LinkedIn jobs search URL, or build searches directly from structured keywords and filter fields.
Full HTML & Plain-Text Descriptions	Captures complete, un-truncated job descriptions formatted as both semantic HTML (descriptionHtml) and clean plain text (descriptionText).
Salary & Compensation Insights	Extracts advertised salary brackets, hourly wages, and compensation insights directly from job cards or description text.
Recruiter & Job Poster Info	Identifies the hiring team — captures recruiter name, headline title, profile avatar, and LinkedIn profile link.
Structured Job Criteria	Extracts seniority level (e.g. Entry level, Associate, Mid-Senior), employment type (Full-time, Contract), job function, and industries.
Workplace & Remote Detection	Automatically flags remote-eligible roles, hybrid arrangements, and on-site requirements.
Company Intelligence Enrichment	Optional mode to fetch hiring company descriptions, official websites, and employee headcounts.
Backward-Compatible AI Search	Automatically maps legacy URL filters (f_E, f_JT, f_WT) into natural language keywords for LinkedIn's newest search algorithms.
No Login Required	Operates 100% publicly on guest endpoints without personal accounts, cookies, or risk of account bans.
Residential Proxy Ready	Integrates seamlessly with Apify's RESIDENTIAL proxy pool matching the target job market country.
Pay Per Success	Charged only when a job posting is successfully retrieved and stored. Failed attempts are free.
Spending Limit Protection	Automatically and gracefully halts the run as soon as your configured Apify PPE spending limit is reached.
Clean, Structured JSON	Outputs standardized, analytics-ready JSON records ready for CRM, database import, or CSV/Excel export.

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📥 Input Parameters

Parameter	Type	Required	Default	Description
urls	array	No	[]	List of LinkedIn jobs search URLs or individual job URLs (/jobs/view/...). If provided, structured filter fields are bypassed.
keywords	string	No	"software engineer"	Search term, job title, technology, or company name (e.g. "data analyst", "python", "react developer").
location	string	No	"United States"	Target city, state, zip code, or country (e.g. "New York, NY", "London", "Remote").
datePosted	string	No	"anytime"	Posting age filter: "anytime", "past-24h" (f_TPR=r86400), "past-week" (f_TPR=r604800), or "past-month" (f_TPR=r2592000).
experienceLevel	string	No	"all"	Seniority filter: "all", "internship", "entry-level", "associate", "mid-senior", "director", "executive".
jobType	string	No	"all"	Employment type filter: "all", "full-time", "part-time", "contract", "temporary", "internship", "volunteer".
workplaceType	string	No	"all"	Workplace arrangement: "all", "on-site", "remote", "hybrid".
easyApply	boolean	No	false	Restrict search to jobs supporting LinkedIn Easy Apply (f_AL=true).
under10Applicants	boolean	No	false	Early-bird deal mode: filter for jobs with fewer than 10 applicants (f_EA=true).
companyIds	string	No	""	Comma-separated list of LinkedIn company numeric IDs to filter by (e.g. "10667" for Meta).
autoConvertToAiSearch	boolean	No	true	Automatically append legacy filter terms to search query keywords for maximum accuracy.
scrapeCompanyDetails	boolean	No	false	Visit hiring company profiles to extract company description, website, and employee size.
maxItems	integer	No	50	Maximum number of job postings to collect and push.
proxy	object	No	Residential	Proxy configuration. Apify Residential proxies matching the target country are recommended.

Example Input (Structured Search with Filters)

{
  "keywords": "python developer",
  "location": "United States",
  "datePosted": "past-week",
  "workplaceType": "remote",
  "jobType": "full-time",
  "maxItems": 20
}

Example Input (LinkedIn Search URL)

{
  "urls": [
    {
      "url": "https://www.linkedin.com/jobs/search/?keywords=react&location=London&f_TPR=r86400"
    }
  ],
  "maxItems": 30
}

---

📤 Output Fields

Each successful job posting is pushed to the dataset as an object with the following fields:

Field	Type	Description
id	string	Unique LinkedIn job identifier.
link	string	Canonical LinkedIn job URL.
title	string	Clean job title.
companyName	string	Name of the hiring company.
companyLinkedinUrl	string	LinkedIn profile URL of the hiring company.
companyLogo	string	Company logo image URL.
location	string	Job location or metropolitan area.
salaryInfo	array of strings	Extracted compensation brackets or hourly wage strings.
postedAt	string	Formatted relative posting date (e.g. "2 weeks ago", "1 day ago").
postedAtTimestamp	string	ISO 8601 UTC timestamp of posting date.
benefits	array of strings	Hiring badges and perks (e.g. ["Actively Hiring"]).
descriptionHtml	string	Full job description in semantic HTML format.
descriptionText	string	Clean, readable plain-text job description.
applicantsCount	string	Number of applicants (e.g. "Over 200 applicants").
applyUrl	string	Direct external application destination URL, if captured.
jobPosterName	string	Name of the recruiter or job poster.
jobPosterTitle	string	Headline title of the job poster.
jobPosterPhoto	string	Avatar URL of the job poster.
jobPosterProfileUrl	string	LinkedIn profile URL of the job poster.
seniorityLevel	string	Required seniority level (e.g. "Associate", "Mid-Senior level").
employmentType	string	Employment type (e.g. "Full-time", "Contract").
jobFunction	string	Primary department or function category.
industries	string	Industry classifications of the hiring company.
companyDescription	string	Overview description of the hiring company.
companyWebsite	string	Official corporate website URL of the company.
companyEmployeesCount	string	Employee count or size bracket (e.g. "201-500 employees").
workRemoteAllowed	boolean	Whether remote work is permitted.
workplaceTypes	array of strings	Workplace arrangements (e.g. ["Remote"], ["On-site"]).
insights	array of strings	Additional job insight tags provided by LinkedIn.
apify_charge_info	object	Pay-Per-Event billing audit object ({"job": true}).

Example Output

[
  {
    "id": "3692563200",
    "link": "https://www.linkedin.com/jobs/view/english-data-labeling-analyst-at-facebook-3692563200/",
    "title": "English Data Labeling Analyst",
    "companyName": "Facebook",
    "companyLinkedinUrl": "https://www.linkedin.com/company/facebook",
    "companyLogo": "https://media.licdn.com/dms/image/C4E0BAQHi-wrXiQcbxw/company-logo_100_100/0/1635988509026?e=2147483647&v=beta&t=pKAh1a653MsJvWqrqxSunoCVUALyq29eXX1oqobspnE",
    "location": "Los Angeles Metropolitan Area",
    "salaryInfo": [
      "$17.00",
      "$19.00"
    ],
    "postedAt": "2 weeks ago",
    "postedAtTimestamp": "2026-10-02T16:00:00+00:00",
    "benefits": [
      "Actively Hiring"
    ],
    "descriptionHtml": "<p>APPROVED REMOTE LOCATIONS: Los Angeles, CA, San Francisco, CA, New York, NY...</p>",
    "descriptionText": "APPROVED REMOTE LOCATIONS: Los Angeles, CA, San Francisco, CA, New York, NY... Summary: The main function of a data labeling analyst...",
    "applicantsCount": "200",
    "applyUrl": "",
    "jobPosterName": "Andrea Cowan",
    "jobPosterTitle": "Technical Recruiter at Meta",
    "jobPosterPhoto": "https://media.licdn.com/dms/image/C5603AQErv53vemaq_A/profile-displayphoto-shrink_100_100/0/1657753132661?e=1699488000&v=beta&t=5R1WgyX-TbL6qhhsntBeR5qmjKdTL5G2l2KtroVTntM",
    "jobPosterProfileUrl": "https://ca.linkedin.com/in/andrea-cowan-458b5423b",
    "seniorityLevel": "Associate",
    "employmentType": "Contract",
    "jobFunction": "Other",
    "industries": "Retail Office Equipment",
    "companyDescription": "The Facebook company is now Meta. Meta builds technologies that help people connect, find communities, and grow businesses...",
    "companyWebsite": "https://www.meta.com",
    "companyEmployeesCount": "36,275 employees",
    "workRemoteAllowed": true,
    "workplaceTypes": [
      "Remote"
    ],
    "insights": [],
    "apify_charge_info": {
      "job": true
    }
  }
]

---

💰 Pricing

This actor operates on Apify's Pay-Per-Event (PPE) pricing model. You only pay for what you actually extract — failed queries or empty results incur no data charge.

Event Pricing Breakdown

Event	Event Code	Pricing Tier	Rate
Actor Start	apify-actor-start	Fixed start fee	$0.02 / run
Job Listing	job	Standard (No discount)	$2.00 / 1,000 jobs ($0.0020 / job)
		🥉 Bronze Tier	$1.67 / 1,000 jobs ($0.00167 / job)
		🥈 Silver Tier	$1.33 / 1,000 jobs ($0.00133 / job)
		🥇 Gold Tier	$1.00 / 1,000 jobs ($0.0010 / job)

• Pay-per-event: you are charged one job event only when a job posting is successfully captured with substantive data (title, company, description, location) and saved to the dataset.
• Run start fee: a nominal $0.02 apify-actor-start fee applies per run to initialize proxy routing and session environments.
• Volume discounts: Apify monthly spending tiers (Bronze, Silver, Gold) automatically discount your per-job pricing down to as low as $1.00 per 1,000 jobs.
• Failed or blocked requests are free — zero charge for failed attempts, empty pages, or blocked endpoints.
• Spending limit protection: the run automatically and gracefully halts as soon as your configured Apify PPE spending limit is reached — preventing any accidental overspending.

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🛠 How to Use on Apify

1. Create a task with this actor in the Apify Console.
2. Choose your search mode:
   • AI Filter Mode: Enter keywords (e.g. "react developer"), location (e.g. "United States"), and select filters like datePosted or workplaceType.
   • URL Mode: Paste any LinkedIn jobs search link or specific job posting link into urls.
3. Configure company enrichment:
   • Enable scrapeCompanyDetails if you need company overview, official website, and employee size.
4. Proxies are configured automatically — the actor uses Apify's RESIDENTIAL proxy group matching the target market country.
5. Run — the actor scrapes jobs at high speed and streams clean JSON records directly into your Dataset.
6. Export — download your results as JSON, CSV, or Excel from the Dataset tab.

Running via API

curl -X POST "https://api.apify.com/v2/acts/your-username~linkedin-jobs-scraper/runs" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -d '{
    "keywords": "software engineer",
    "location": "United States",
    "datePosted": "past-week",
    "workplaceType": "remote",
    "maxItems": 50
  }'

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🎯 Use Cases

Industry / Use Case	How It Helps
Recruitment & Executive Search	Track hiring surges, identify companies expanding headcount, and connect with active recruiters posting openings.
Job Board & Aggregator Feeds	Populate niche job boards, career sites, and Telegram/Discord alerts with real-time, verified LinkedIn listings.
B2B Lead Generation & Sales Signals	Hiring is the #1 signal of corporate budget. Find companies actively investing in specific tools, technologies, and departments.
Compensation & Salary Benchmarking	Analyze transparent compensation data across tech, finance, and engineering roles by geography and seniority.
Competitive Intelligence	Monitor competitors' expansion strategies, department growth, and skill requirements before official announcements.
Workforce & Labor Market Research	Analyze remote vs. hybrid trends, time-to-fill estimates, and talent demand shifts across global metropolitan regions.

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❓ Frequently Asked Questions

1. Do I need a LinkedIn account or cookies? No. The actor operates 100% publicly on server-rendered LinkedIn guest endpoints. No login, password, or session cookies required.

2. How does the actor bypass the ~1,000 jobs limit per search? LinkedIn caps pagination to 1,000 results per query. To scrape larger volumes, split your searches by city, state, or date posted (e.g. schedule daily runs with datePosted: "past-24h").

3. Why do I need residential proxies? LinkedIn monitors traffic and restricts datacenter IP addresses. Apify Residential proxies ensure uninterrupted access and geo-targeted results.

4. How does the Auto convert to AI search feature work? LinkedIn's recent search updates discontinued some legacy URL filters. When enabled, this feature translates filters (like Experience Level or Workplace Type) into natural-language keywords to maintain maximum result precision.

5. Am I charged for failed or empty runs? No. You are charged only for job listings successfully extracted and pushed to the dataset.

6. Can I scrape private or member-only jobs? No. The actor accesses publicly indexable job postings available to public search engines. Confidential or internal member-restricted listings are excluded.

7. Where do the recruiter contact details come from? When an employer chooses to highlight a recruiter on their public job posting, the actor extracts their name, title, photo, and LinkedIn profile URL.

8. What happens when my spending limit is reached? The actor detects the pay-per-event spending limit and gracefully stops processing further jobs, preventing accidental overspending.

9. How fast does the scraper execute? Using lightweight HTTP client technology (curl_cffi) with Chrome TLS impersonation, each job detail is hydrated in under 0.5 seconds, scraping dozens of postings per minute.

10. What if LinkedIn changes its layout? The parser employs multi-strategy fallbacks, checking semantic CSS selectors, embedded JSON metadata, and heuristic regular expressions to ensure maximum resilience against UI changes.

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📝 Technical Notes

• Target: https://www.linkedin.com/jobs/search/ and https://www.linkedin.com/jobs-guest/jobs/api/seeMoreJobPostings/search.
• Parsing Strategies: (1) Public Guest Search offset stream pagination, (2) Deep Detail hydration via /jobs-guest/jobs/api/jobPosting/{id}, (3) Multi-selector semantic criteria parsing, (4) In-memory cached company profile hydration.
• Concurrency: Parallel detail hydration using asyncio.Semaphore(5) to maximize throughput while avoiding rate-limiting.
• Charging: Programmatic Pay-Per-Event billing via Actor.charge(event_name="job") with spending-limit protection.
• Output: Clean, normalized dataset records pushed directly to the Apify default dataset.

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Start scraping LinkedIn jobs today — from $1.00 to $2.00 per 1,000 successful jobs ($0.02 actor start), with full descriptions, salary insights, and recruiter details.