LinkedIn Jobs Scraper: Full Details, Applicants & Salary

Scrape LinkedIn job listings without logging in. Search by keyword and location with LinkedIn's own filters, or paste LinkedIn search URLs. Every job includes the full description, number of applicants, seniority, employment type, job function, industry and salary when LinkedIn shows it.

How to use

1. Sign up for Apify — the free plan's monthly credit is enough to try this Actor.
2. Open LinkedIn Jobs Scraper (No Cookies), fill in the input (the form is pre-filled with a working example) and click Start.
3. Watch results stream into the dataset table while the run is going.
4. Export as JSON, CSV, Excel, XML, HTML or RSS — or pull the results from your own code with the Apify API.

Why use this LinkedIn jobs scraper?

• Full job details at no extra cost. Many LinkedIn job scrapers return only the search card; this one opens every job so you get description, applicants, seniority, employment type, job function and industries in the same row.
• No account, no cookies. Uses LinkedIn's public job pages only, so there is no risk to your LinkedIn account.
• All the main filters:
  • date posted (past hour / 24h / week / month)
  • on-site / remote / hybrid
  • job type and experience level
  • Easy Apply only, sort by most recent
• Bulk searches. Several keywords × several locations in one run, or startUrls copied from linkedin.com/jobs/search with any filters.
• Monitoring mode. Only new jobs since last run skips jobs you already received. Schedule it hourly or daily for job alerts and lead feeds.
• Fast and cheap. 900 jobs from 6 searches in about 90 seconds in testing.

How to scrape LinkedIn jobs

{
  "keywords": ["data engineer", "analytics engineer"],
  "locations": ["United States", "London, England"],
  "datePosted": "past24h",
  "workplaceTypes": ["remote", "hybrid"],
  "experienceLevels": ["midSenior"],
  "sortBy": "recent",
  "includeDetails": true,
  "maxResultsPerSearch": 200,
  "maxResults": 1000
}

Input reference

Every option at a glance. A minimal input that works as-is:

{
  "keywords": [
    "data engineer"
  ],
  "locations": [
    "United States"
  ],
  "datePosted": "anyTime",
  "sortBy": "recent",
  "includeDetails": true,
  "maxResultsPerSearch": 100,
  "maxResults": 500
}

All fields:

• keywords (Keywords) — Job titles, skills or companies, e.g. “data engineer”, “product manager”. Each keyword is searched in each location.
• locations (Locations) — Countries, states or cities as you'd type them on LinkedIn, e.g. “United States”, “London, England”, “Germany”. Empty = Worldwide.
• startUrls (LinkedIn search URLs (optional)) — Paste linkedin.com/jobs/search URLs; all filters in the URL (f_TPR, f_WT, f_E, f_C…) are kept.
• datePosted (Date posted) — Only jobs posted within this period. Options: anyTime (Any time), pastMonth (Past month), pastWeek (Past week), past24h (Past 24 hours), pastHour (Past hour); default "anyTime".
• workplaceTypes (On-site / remote) — Best effort: LinkedIn doesn't publish workplace type to logged-out visitors, so the Actor looks for 'remote' or 'hybrid' in the title, location and description and adds workplaceTypeGuess. Any of: onSite, remote, hybrid.
• jobTypes (Job type) — Keep only these employment types. Checked on each job's page, like experience level (job details turn on automatically). Any of: fullTime, partTime, contract, temporary, internship, volunteer, other.
• experienceLevels (Experience level) — Keep only these seniority levels. LinkedIn ignores this filter for logged-out searches, so the Actor reads each job's seniority from its page and filters itself (job details are turned on automatically). Tip: also put words like “junior” or “senior” in the keywords; filtering alone reads every candidate job and can be slow. Any of: internship, entry, associate, midSenior, director, executive.
• easyApplyOnly (Easy Apply only) — Only jobs with LinkedIn Easy Apply. Default false.
• under10Applicants (Under 10 applicants) — Only jobs LinkedIn marks as having fewer than 10 applicants — apply early, less competition. Default false.
• sortBy (Sort by) — Result order. Note: LinkedIn may ignore sorting for logged-out searches. Options: relevance (Most relevant), recent (Most recent); default "recent".
• includeDetails (Include full job details) — Adds description (text + HTML), number of applicants, seniority, employment type, job function, industries and salary range when shown. Same price. Default true.
• includeCompanyDetails (Add company details) — Adds the hiring company's industry, size, headquarters, founded year, followers, employees on LinkedIn and website (from its public company page). One extra request per company. Default false.
• onlyNewJobs (Only new jobs since last run (monitoring)) — Remembers jobs already returned for each search and skips them next time. Default false.
• maxResultsPerSearch (Max jobs per search) — LinkedIn shows up to 1,000 jobs per search. Split big searches by location or filters. Default 100.
• splitSearch (Go past 1,000 results) — LinkedIn stops any search at 1,000 jobs. For United States, United Kingdom, Germany, Canada, India and Australia this runs the search per state or region and merges the results without duplicates (up to 10,000 per search). Default false.
• maxResults (Max results (total)) — Stop after this many jobs. You are charged per job. Default 500.
• proxy (Proxy) — Apify datacenter proxy works for LinkedIn's public job pages.

What the LinkedIn jobs output looks like

{
  "id": "4466333367",
  "title": "Senior Product Designer (Fully Remote)",
  "company": "PadSplit",
  "companyUrl": "https://www.linkedin.com/company/padsplit",
  "location": "Atlanta, GA",
  "postedDate": "2026-09-11",
  "postedAgo": "5 days ago",
  "salary": null,
  "salaryRange": "$120,000.00/yr - $130,000.00/yr",
  "benefits": null,
  "applicantsText": "85 applicants",
  "applicants": 85,
  "seniorityLevel": "Not Applicable",
  "employmentType": "Full-time",
  "jobFunction": "Design, Art/Creative, and Information Technology",
  "industries": "Real Estate",
  "description": "The Role We Need:\n\n \n\nPadSplit is hiring a Senior Product Designer to shape and improve experiences across our two-sided housing marketplace. Working on a growth-focused product te…",
  "url": "https://www.linkedin.com/jobs/view/4466333367/",
  "descriptionHtml": "<p>…</p>"
}

What can you do with LinkedIn jobs data?

• Recruiters & agencies: fresh roles and hiring companies every morning.
• Sales & lead generation: hiring signals by company, industry and seniority.
• Job seekers & career tools: alerts filtered by remote, level and recency.
• Labour-market research: demand, applicant competition and salary ranges by role and location.
• Job boards & AI agents: a structured LinkedIn jobs feed.

How much does it cost?

Pay per job returned, with full details included, plus a negligible start fee per run. Set Max results or a spending limit to cap cost.

Limits you should know about

• LinkedIn shows at most 1,000 jobs per search; split very broad searches by location or filters.
• Salary appears only when the employer publishes it. applicants is LinkedIn's rounded figure (e.g. "Over 200 applicants" → 200).
• Only public job postings are collected; no personal profiles.
• If something breaks after a LinkedIn change, open an issue and it will be fixed quickly.

Company details, fewer applicants, and more than 1,000 jobs

• includeCompanyDetails: adds the hiring company's industry, size, headquarters, founded year, followers, employees on LinkedIn and website. Each company is fetched once per run.
• under10Applicants: only jobs LinkedIn marks as having fewer than 10 applicants.
• splitSearch: LinkedIn stops any search at 1,000 jobs. For the United States, United Kingdom, Germany, Canada, India and Australia this runs the search per state or region and merges the results without duplicates, up to 10,000 per search (maxResultsPerSearch).

Which filters LinkedIn actually applies

For logged-out searches LinkedIn applies date posted, under 10 applicants and Easy Apply, but ignores experience level, job type and workplace type. This Actor therefore checks experience level and job type on each job's own page (exact), and workplace type from the job text (best effort, in workplaceTypeGuess). Filtering this way reads every candidate job, so a narrow filter (for example entry level only) can take several minutes for a handful of results. Adding words like "junior" or "graduate" to the keywords narrows the search first and makes it much faster.

Pricing — what you pay per job

This Actor uses pay-per-event pricing: no monthly rental, you pay for the results you get. Prices per 1,000 results by Apify plan:

Event	Free plan	Bronze	Silver	Gold+
job — One LinkedIn job with full details saved to the dataset	$1.00	$0.90	$0.85	$0.80

There is also a small start fee of $0.00005 per GB of memory ($0.00005 per run at the default 1 GB). Platform compute is included in the price — you are not billed separately for run time. Set a maximum total charge on the run if you want a hard cap, and use the input limits to control how much is fetched. The current prices are always on the Pricing tab.

Tips

• Logged-out LinkedIn ignores experience, job-type and workplace filters, so the Actor checks them on each job page — put seniority words like "junior" in your keywords too for faster runs.
• A single LinkedIn search stops at 1,000 jobs; turn on splitSearch for the US, UK, Germany, Canada, India or Australia to get up to 10,000.
• under10Applicants and datePosted: past24h together are a good "apply early" feed.
• Turn on includeCompanyDetails when you need company size and industry for every job.
• Start with a small maxResults (say 20) to check the output, then raise it — you only pay per result.
• For ongoing tracking, schedule the Actor and turn on onlyNewJobs so each run returns only what is new.
• Already set up a search on the website? Paste its URL into startUrls and the filters in it are kept.
• Keep the default proxy setting — it is only used as a fallback when a direct request is blocked.
• Rows the Actor cannot read are logged and skipped, never charged — check the run log if a count looks low.

Automate & schedule

Run this Actor on autopilot and pull results into your own stack:

• Apify API — start runs, fetch datasets and manage schedules over REST.
• apify-client for JavaScript and apify-client for Python — official SDKs.
• Schedules — run it on a cron to keep your data fresh.
• Webhooks — trigger downstream actions the moment a run finishes.

JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'MY_APIFY_TOKEN' });
const run = await client.actor('tindacloud/linkedin-jobs-scraper').call({
    "keywords": [
        "data engineer"
    ],
    "locations": [
        "United States"
    ],
    "datePosted": "anyTime",
    "sortBy": "recent",
    "includeDetails": true,
    "maxResultsPerSearch": 100,
    "maxResults": 500
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Got ${items.length} records`);

Python

from apify_client import ApifyClient

client = ApifyClient("MY_APIFY_TOKEN")
run = client.actor("tindacloud/linkedin-jobs-scraper").call(run_input={
    "keywords": [
        "data engineer"
    ],
    "locations": [
        "United States"
    ],
    "datePosted": "anyTime",
    "sortBy": "recent",
    "includeDetails": True,
    "maxResultsPerSearch": 100,
    "maxResults": 500
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

cURL — run and get the results in one request:

curl -X POST "https://api.apify.com/v2/acts/tindacloud~linkedin-jobs-scraper/run-sync-get-dataset-items?token=MY_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"keywords": ["data engineer"], "locations": ["United States"], "datePosted": "anyTime", "sortBy": "recent", "includeDetails": true, "maxResultsPerSearch": 100, "maxResults": 500}'

Integrate with any app

Connect the dataset to thousands of apps — no code required:

• Make — multi-step automation scenarios.
• Zapier — push new records straight into your CRM or sheet.
• n8n — self-hosted workflows.
• Slack — get notified when a run finishes or finds something new.
• Google Drive / Sheets — auto-export every run to a spreadsheet.
• Airbyte — pipe results into your data warehouse.
• GitHub — trigger runs from commits or releases.
• Webhooks — call your own endpoint when a run succeeds or fails.

Use with AI assistants (MCP)

The output is clean, LLM-ready JSON. Call this Actor from Claude, ChatGPT, Cursor or any agent framework through the Apify MCP server — ask your assistant to "find product manager jobs in London posted in the last 24 hours with fewer than 10 applicants" and let it run this Actor for you.

Agent-ready: autonomous payments (x402 & Skyfire)

This Actor is agent-ready — AI agents can discover it, run it and pay for it on their own. It uses pay-per-event pricing and limited permissions, so it qualifies for Apify's agentic payments:

• x402 — an open, HTTP-native payment protocol. Agents pay in USDC through the Apify MCP server — no Apify account needed.
• Skyfire — agent-to-service payments with pre-funded Skyfire tokens.

Building an AI agent, MCP tool or data pipeline? This Actor is ready to plug in and pay as it goes.

Ready-made examples

Open one, change the fields, press Start — nothing to configure:

• Scrape remote Python developer jobs
• Scrape data analyst jobs in London
• Scrape LinkedIn jobs posted in the last 24 hours
• Find jobs that show the salary on LinkedIn
• Track new job postings at target companies
• Scrape marketing jobs in Germany

Frequently asked questions about scraping LinkedIn jobs

Do I need an API key or a login?

No. Paste your input, press Start. There is nothing to connect and no account on the target site to create.

How do I export the results?

Every run produces a dataset you can download as JSON, CSV, Excel, XML or HTML, or read through the Apify API from your own code. You can also connect it to Make, Zapier or n8n.

Can I run this on a schedule?

Yes. Apify schedules run it every hour, day or week without you being there. With the monitoring option on, you only get jobs that appeared since the last run.

Can I call it from Python or JavaScript?

Yes — the Apify API runs any Actor and returns the dataset, and the official Python and JavaScript clients wrap it in a few lines. AI agents can call it too, through Apify's MCP server.

What does it cost?

You pay per result, not per hour. Filters are applied before anything is charged, so narrowing the input directly lowers the bill. Pages that cannot be read are reported in the log and never charged.

Is this data public?

Everything collected here is what LinkedIn shows to anyone without logging in. Check the target site's terms and the rules that apply to you before using the data commercially.

Related scrapers

Other scrapers from the same maker, built the same way — no browser where it isn't needed, one flat price per result:

• ATS Job Search
• SEEK Jobs Scraper
• Website Contact & Email Scraper

Disclaimer

This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by LinkedIn Corporation or Microsoft. All trademarks mentioned are the property of their respective owners. "LinkedIn" is named here only in a descriptive sense — to identify the publicly available website this Actor reads. It collects only publicly available information that anyone can see without logging in; you are responsible for making sure your use of the data complies with applicable laws, regulations and the terms of the source website.