LinkedIn Jobs Scraper

Scrape public LinkedIn job listings for hiring-intent data: titles, companies, locations, salary fields, skills, descriptions, applicant counts, job type, experience level, and apply links. Use it for job boards, recruiting intelligence, labor-market research, and B2B buying-signal workflows without a LinkedIn account or API key.

Value proposition

Job postings are one of the clearest public signals that a company is growing, changing tools, opening a new market, or investing in a function. This actor turns LinkedIn Jobs searches into structured JSON so you can track which companies are hiring, what skills they ask for, where they are expanding, and how roles are changing over time.

Use it when you need:

• Fresh public LinkedIn job data for a role and location
• Hiring velocity by company or market
• Parsed salary fields when LinkedIn exposes salary data
• Skills and descriptions for buying-signal pipelines
• Apply URLs for job-board or recruiting workflows

What's new

• No-login public job collection: uses public LinkedIn job listing data without cookies or a LinkedIn account.
• Multiple scrape modes: choose standard, full, or fast depending on whether you need descriptions and enrichment fields.
• Structured salary parsing: returns raw salary text plus parsed min, max, currency, and pay period when salary is available.
• Country, date, job type, and experience filters: narrow searches before collecting results.

What data you get

Field	Description
title	Job title
company_name	Hiring company
location	Job location
salary_raw	Salary as displayed by LinkedIn when available
salary_min	Parsed minimum salary when available
salary_max	Parsed maximum salary when available
salary_currency	Parsed currency code when available
salary_period	Pay period such as yearly, monthly, or hourly when available
experience_level	Experience level shown by LinkedIn
job_type	Full-time, part-time, contract, internship, or related type
industry	Company industry when available
skills	Required or inferred skills in Standard and Full modes
description	Full job description in Standard and Full modes
applicant_count	Applicant count text when available
is_easy_apply	Whether LinkedIn Easy Apply appears available
posted_at	Posting date or parsed posting date when available
apply_url	LinkedIn job URL or apply link

Quick-start input examples

1. Search one role in one location

{
  "queries": ["software engineer"],
  "location": "San Francisco",
  "country": "United States",
  "maxResultsPerQuery": 25,
  "scrapeMode": "standard"
}

2. Track hiring at a target company

{
  "queries": ["sales", "customer success", "solutions engineer"],
  "companyName": "Snowflake",
  "country": "United States",
  "datePosted": "Past month",
  "maxResultsPerQuery": 50,
  "scrapeMode": "standard"
}

3. Fast search-card collection

{
  "queries": ["data analyst remote", "analytics engineer remote"],
  "maxResultsPerQuery": 100,
  "maxPages": 4,
  "scrapeMode": "fast"
}

Input parameters

Parameter	Required	Default	Description
queries	Yes	-	Job search keywords. Each query runs a separate LinkedIn search.
location	No	-	City, region, or country text such as London, Bangalore, or India.
country	No	-	Country filter such as United States, United Kingdom, India, Canada, Australia, Germany, France, Netherlands, Singapore, UAE, Japan, Brazil, Ireland, Sweden, Switzerland, Spain, Italy, Israel, South Korea, or Mexico.
companyName	No	-	Limit results to one company name.
maxResultsPerQuery	No	5	Maximum jobs to return per query. Start small for previews, then increase for larger runs.
maxPages	No	1	Number of search result pages per query. Public LinkedIn search usually exposes about 25 jobs per page.
scrapeMode	No	standard	standard for most use cases, full for alternate extraction, or fast for search-card fields only.
datePosted	No	Any time	Filter by Any time, Past 24 hours, Past week, or Past month.
jobType	No	-	Filter by Full-time, Part-time, Contract, Temporary, or Internship.
experienceLevel	No	-	Filter by Internship, Entry level, Associate, Mid-Senior level, Director, or Executive.
proxyConfiguration	No	Apify default	Proxy settings. Leave default unless you have a specific Apify proxy setup.

Scrape modes

Mode	Best for	Notes
standard	Most jobs, salary, skills, descriptions, and apply links	Recommended default.
full	Alternative extraction if Standard returns incomplete data	Useful as a fallback for some searches.
fast	Bulk discovery when descriptions are not needed	Reads search-card data only, so some enriched fields may be empty.

Sample output snippet

{
  "title": "Software Engineer",
  "company_name": "Google",
  "location": "San Francisco, CA",
  "salary_raw": "$150,000 - $200,000/yr",
  "salary_min": 150000,
  "salary_max": 200000,
  "salary_currency": "USD",
  "salary_period": "yearly",
  "experience_level": "Mid-Senior level",
  "job_type": "Full-time",
  "industry": "Technology, Information and Internet",
  "skills": ["Python", "Java", "AWS"],
  "description": "We are looking for a talented Software Engineer to join...",
  "applicant_count": "200+ applicants",
  "is_easy_apply": true,
  "posted_at": "2026-04-05",
  "apply_url": "https://www.linkedin.com/jobs/view/123456/"
}

Use cases

• B2B buying signals: identify accounts hiring for product-relevant skills such as Salesforce, Snowflake, Kubernetes, SAP, or outbound sales roles.
• ABM and RevOps: monitor hiring velocity at named accounts and trigger campaigns when teams expand.
• Recruiting intelligence: track open roles, salary ranges, and locations across competitors or target employers.
• Job boards: collect public LinkedIn job data and apply links for search, alerts, or aggregation.
• Investor and market research: use job postings as a leading indicator of growth, contraction, geographic expansion, or new product focus.
• Salary analytics: compare public salary ranges by role, level, geography, and company when salary is available.

Pricing examples

This actor uses pay-per-result pricing. The current base Store price is $0.008 per job result.

Run size	Approximate result cost
100 jobs	$0.80
1,000 jobs	$8.00
10,000 jobs	$80.00

Apify platform usage and proxy costs, if applicable to your account, are handled by Apify separately from pay-per-result pricing.

Limitations

• Salary fields are only populated when LinkedIn or the employer exposes salary data.
• skills and description require Standard or Full mode. Fast mode reads search-card fields only.
• Easy Apply jobs may point back to LinkedIn rather than an external employer application page.
• Public guest search can be broader than logged-in LinkedIn search. Use specific titles and filters for better precision.
• LinkedIn public pagination has practical per-query limits. Split very large pulls by location, date, job type, or experience level.
• Very high-volume runs can encounter rate limits. Split large workloads across multiple runs if needed.

FAQ

Do I need a LinkedIn account?

No. The actor accesses publicly visible LinkedIn job listing data and does not require login credentials.

Which scrape mode should I use?

Use standard unless you specifically need the fastest search-card-only collection. Use full as an alternate extraction path if a Standard run returns incomplete data for your query.

Why are some salary fields empty?

LinkedIn only shows salary when the employer or source listing includes it. The actor parses salary when it is available.

Can I filter by company?

Yes. Use companyName to limit results to a target company, then combine it with datePosted, jobType, or experienceLevel for tighter monitoring.

Can I use this as a LinkedIn Jobs API alternative?

Yes, for public job listings. LinkedIn does not provide an open public job-search API for this use case, so this actor returns structured public listing data through Apify.

Support and custom builds

Need a custom hiring-intent workflow, company monitor, skills classifier, job-board feed, or multi-source jobs dataset? Contact Thirdwatch through Apify or visit thirdwatch.dev for custom builds.

Pairs well with Google Jobs Scraper, Indeed Scraper, and Naukri Scraper for multi-source hiring datasets.

Use cases and recipes

Step-by-step guides on thirdwatch.dev/blog:

• Build a LinkedIn Jobs Aggregator with Apify (2026 Guide)
• Filter LinkedIn Jobs by Skill and Location (2026 Guide)
• Scrape LinkedIn Jobs Without Login at Scale (2026 Guide)
• Track LinkedIn Hiring Velocity by Company (2026)

Last verified: 2026-05