LinkedIn Jobs Scraper — No Login, Full Details & Salary

Scrape LinkedIn job postings without a LinkedIn account or cookies. Search by keywords and location (or paste search URLs from your browser) and get, for every job:

title, company, company page & logo, location, salary (when shown), date posted, number of applicants, seniority level, employment type, job function, industries, apply type and the full job description (plain text with line breaks + original HTML).

How to run it in 3 steps

1. Add your input. In Keywords paste job titles or skills, plus a Location — e.g. data engineer + United States. The form is already filled with a working example, so you can skip this step for a first try.
2. Press Start. The prefilled run returns 20 jobs in about 5 s and costs about $0.060. Set Max results (cost cap) to cap the cost of bigger runs; you only pay for jobs actually delivered.
3. Get the data. Open the Output tab and export JSON, CSV or Excel — or run it from the API, Make, Zapier, n8n or an AI agent (see below).

Features

• No login, no cookies, no risk to your account — uses LinkedIn's public job pages.
• All LinkedIn filters: date posted, job type, experience level, on-site/remote/hybrid, company IDs, Easy Apply, fewer than 10 applicants, sort by date.
• Paste any LinkedIn search URL — every filter in it is kept.
• HTTP only, no browser: plain HTTP (no browser) through rotating datacenter proxies, deduplicated across searches.
• Pay per job: $3 per 1,000 jobs. Turn off full details for a quicker card-only scrape.

Use cases

• Recruiting & staffing agencies: find companies hiring for the roles you place — instant lead lists.
• B2B sales signals: a company hiring a "Head of Data" probably needs data tools.
• Job market research: demand, salaries and seniority mix by skill and city.
• Job boards & newsletters: fresh postings every day (postedWithin: "24h", sortBy: "date").

Input

{
  "keywords": ["data engineer", "react developer"],
  "location": "United States",
  "postedWithin": "week",
  "workplaceTypes": ["remote"],
  "maxJobsPerSearch": 200,
  "scrapeDetails": true
}

Output

Real output (default input)

First 2 of 20 records from a run with the prefilled input (4.6 s on a test machine; long values shortened here):

[
  {
    "id": "4454862094",
    "url": "https://www.linkedin.com/jobs/view/4454862094/",
    "title": "Senior Data Engineer, DX",
    "company": "Atlassian",
    "companyUrl": "https://au.linkedin.com/company/atlassian",
    "companyLogo": "https://media.licdn.com/dms/image/v2/D4E0BAQGeyLL6crkJKg/company-logo_100_100/company-logo_100_100/0/1735593604612/atlassian_logo?e=21474836…",
    "location": "Salt Lake City, UT",
    "salary": null,
    "benefits": "Actively Hiring",
    "postedAt": "2026-09-26",
    "postedAgo": "2 weeks ago",
    "slug": "senior-data-engineer-dx-at-atlassian",
    "search": "data engineer",
    "applicants": "Over 200 applicants",
    "applicantsCount": 200,
    "seniorityLevel": "Mid-Senior level",
    "employmentType": "Full-time",
    "jobFunction": null,
    "industries": "Software Development",
    "applyType": "external",
    "applyUrl": null,
    "descriptionText": "Overview\n\nWorking at Atlassian\n\nAtlassians can choose where they work – whether in an office, from home, or a combination of the two. That w…",
    "descriptionHtml": "<strong>Overview<br><br></strong><strong>Working at Atlassian<br><br></strong>Atlassians can choose where they work – whether in an office, …",
    "scrapedAt": "2026-10-15T12:13:54.683Z"
  },
  {
    "id": "4475178472",
    "url": "https://www.linkedin.com/jobs/view/4475178472/",
    "title": "Data Engineer III",
    "company": "Deloitte",
    "companyUrl": "https://www.linkedin.com/company/deloitte",
    "companyLogo": "https://media.licdn.com/dms/image/v2/C560BAQGNtpblgQpJoQ/company-logo_100_100/company-logo_100_100/0/1662120928214/deloitte_logo?e=214748364…",
    "location": "Greater Indianapolis",
    "salary": null,
    "benefits": "Be an early applicant",
    "postedAt": "2026-10-07",
    "postedAgo": "1 week ago",
    "slug": "data-engineer-iii-at-deloitte",
    "search": "data engineer",
    "applicants": "Be among the first 25 applicants",
    "applicantsCount": 25,
    "seniorityLevel": "Not Applicable",
    "employmentType": "Full-time",
    "jobFunction": null,
    "industries": "Accounting, IT Services and IT Consulting, and Business Consulting and Services",
    "applyType": "external",
    "applyUrl": null,
    "descriptionText": "Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clie…",
    "descriptionHtml": "Our Deloitte AI &amp; Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our …",
    "scrapedAt": "2026-10-15T12:13:54.683Z"
  }
]

{
  "id": "4476804381",
  "url": "https://www.linkedin.com/jobs/view/4476804381/",
  "title": "Senior React Developer",
  "company": "Programmers.io",
  "companyUrl": "https://www.linkedin.com/company/programmers-io",
  "location": "Rutherford, NJ",
  "salary": null,
  "postedAt": "2026-10-09",
  "postedAgo": "4 days ago",
  "applicantsCount": 55,
  "seniorityLevel": "Mid-Senior level",
  "employmentType": "Contract",
  "jobFunction": "Information Technology",
  "industries": "Software Development",
  "applyType": "easyApply",
  "descriptionText": "Job Title: Senior React Developer\nLocation: …",
  "search": "react developer"
}

Pricing

• $3.00 per 1,000 jobs ($0.003 per job).
• The prefilled input returns 20 jobs → $0.06.
• Example: 1,000 jobs → $3.00; 10,000 → $30.00. Set Max results (cost cap) to limit any run.

• Duplicates across searches are free.
• Your Apify spending limit is respected exactly: the actor stops charging and finishes cleanly when it is reached. Apify platform usage (compute, proxy) is included in the price.

Use with AI agents (MCP), LangChain, RAG & the API

This actor is a ready-made tool for AI agents: an LLM can call it, wait for the run and read clean JSON back.

MCP server (Claude Desktop, Claude Code, Cursor, VS Code, any MCP client) — add Apify's hosted MCP server with this actor enabled as a tool:

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com/?tools=torix33/linkedin-jobs-scraper",
      "headers": { "Authorization": "Bearer <APIFY_TOKEN>" }
    }
  }
}

LangChain / LangGraph (pip install langchain-apify, set APIFY_API_TOKEN):

from langchain_apify import ApifyActorsTool, ApifyWrapper
from langchain_core.documents import Document

# 1) give the actor to an agent as a tool
tool = ApifyActorsTool("torix33/linkedin-jobs-scraper")

# 2) or load results as Documents for a RAG index
loader = ApifyWrapper().call_actor(
    actor_id="torix33/linkedin-jobs-scraper",
    run_input={"keywords": ["data engineer", "react developer"], "location": "United States", "postedWithin": "week", "workplaceTypes": ["remote"], "maxJobsPerSearch": 200, "scrapeDetails": True},
    dataset_mapping_function=lambda item: Document(page_content=item["descriptionText"], metadata={"url": item.get("url")}),
)
docs = loader.load()

REST API — one synchronous call, dataset items in the response:

curl -X POST "https://api.apify.com/v2/acts/torix33~linkedin-jobs-scraper/run-sync-get-dataset-items?token=<APIFY_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"keywords": ["data engineer", "react developer"], "location": "United States", "postedWithin": "week", "workplaceTypes": ["remote"], "maxJobsPerSearch": 200, "scrapeDetails": true}'

Also works with the Apify Python/JS clients, Make, Zapier, n8n, Google Sheets, webhooks and schedules. Export as JSON, CSV, Excel, XML or RSS.

RAG tip: Embed the job descriptionText and keep company, location and postedAt as metadata — an agent can then answer "who is hiring for X near me this week?".

Limitations

• LinkedIn shows at most 1,000 jobs per search. For more, split by location, date posted or job type.
• Salary is only present when the employer publishes it.
• For very rare keywords or a location LinkedIn does not recognise, LinkedIn itself may return loosely related jobs instead of none — check title and location in the output and refine the query.
• Keep the Apify datacenter proxy on: LinkedIn rate-limits single IPs very quickly.

FAQ

Do I need a LinkedIn account or cookies? No. The actor uses LinkedIn's public job pages, so your account is never involved.

How many jobs per search? LinkedIn shows at most 1,000 jobs per search. Split by location, date posted or job type for more.

Can I paste a LinkedIn jobs search URL? Yes. All filters in the URL are kept.