LinkedIn Jobs Scraper: Fast, No Login

v1.1.0 Beta — This release adds Apify Proxy support (cloud-only) and enforces a URL cap based on the session pool capacity. It is not the default build; deploy with apify push and select the beta tag to test it.

What does LinkedIn Jobs Scraper do?

LinkedIn Jobs Scraper extracts structured job listings from LinkedIn Jobs — no login, no browser, no cookies required. Paste any LinkedIn job search URL and the scraper returns job titles, companies, locations, posting dates, and direct job links in seconds.

Enable the Scrape Job Details option to unlock richer data: full job descriptions, seniority levels, contract types, work arrangements (Remote / Hybrid / On-site), salary ranges, applicant counts, recruiter profiles, and direct apply links.

The Actor uses LinkedIn's public guest API endpoints and HTTP parsing — making it roughly 10× faster and cheaper to run than browser-based scrapers. Schedule it on the Apify platform with proxy rotation, automatic retries, and easy export to JSON, CSV, or Excel.

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Why use LinkedIn Jobs Scraper?

• Talent intelligence — track which companies are actively hiring for specific roles, technologies, or locations
• Job market research — monitor salary trends, demand spikes, and emerging skill requirements across industries
• Competitive hiring analysis — see how your competitors are growing their teams
• Automated job alerts — run on a schedule to get notified about fresh postings the moment they appear
• ATS and workflow integration — feed structured job data directly into spreadsheets, databases, or recruiting tools via the Apify API
• Career research — build a comprehensive picture of the market before a job search or salary negotiation

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How to use LinkedIn Jobs Scraper

1. Open the Actor on the Apify platform and click Try for free
2. Paste a LinkedIn Jobs search URL in the Start URLs field
   Example: https://www.linkedin.com/jobs/search/?keywords=Python+Developer&location=London
3. (Optional) Toggle Scrape Job Details to true for full descriptions and extra fields
4. (Optional) Add Exclude Keywords to skip titles like "Senior", "Lead", or "Manager"
5. Set a Maximum Jobs limit (default: 25)
6. Click Start and wait a few seconds
7. Download results from the Output tab in JSON, CSV, or Excel

Tip: Build any search URL you like on LinkedIn — by keyword, location, date posted, experience level, or company — and paste it directly into the Actor.

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Input

Configure the Actor from the Input tab or by passing a JSON payload to the API.

Field	Type	Required	Default	Description
startUrls	array	✅	[{"url": "https://www.linkedin.com/jobs/search/?keywords=Python"}]	One or more LinkedIn job search URLs. Maximum 64 URLs per run (see URL limit section below)
scrapeDetails	boolean	❌	false	Open each job page for full details
jobTitleExclude	array	❌	[]	Skip jobs with these keywords in the title
maxItems	integer	❌	25	Maximum unique jobs to collect (up to 640)
proxyConfiguration	object	❌	{ "useApifyProxy": true, "apifyProxyGroups": ["DATACENTER"] }	Proxy settings. Active on Apify platform only — ignored during local apify run (see note below)

Example input (JSON):

{
  "startUrls": [
    {
      "url": "https://www.linkedin.com/jobs/search/?keywords=Backend+Engineer&location=Germany&f_TPR=r86400"
    }
  ],
  "scrapeDetails": true,
  "jobTitleExclude": ["Staff", "Principal"],
  "maxItems": 50,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["DATACENTER"]
  }
}

URL limit

The number of start URLs you can process in a single run depends directly on the proxies available. Each proxy has a limited request budget, so the more proxies your plan provides, the more search URLs you can handle in one run.

To scrape more searches than your proxy budget allows, split them across multiple runs.

Proxy note

proxyConfiguration is only active when the Actor runs on the Apify platform. During local development (apify run), the proxy is skipped automatically — no configuration change is needed to switch between environments.

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Output

Results are stored in the default dataset and are accessible in real time from the Output tab. You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.

Fast mode (scrapeDetails: false) — sample output

{
  "id": "4473763235",
  "title": "Backend Engineer",
  "companyName": "Acme Corp",
  "companyUrl": "https://www.linkedin.com/company/acme-corp",
  "location": "Berlin, Germany",
  "publishedAt": "2026-09-30",
  "postedTime": "2 hours ago",
  "benefits": "Be an early applicant",
  "jobUrl": "https://www.linkedin.com/jobs/view/backend-engineer-at-acme-corp-4473763235",
  "scrapingInfo": {
    "page": 1,
    "index": 3,
    "inputUrl": "https://www.linkedin.com/jobs/search/?keywords=Backend+Engineer&location=Germany"
  }
}

Full details mode (scrapeDetails: true) — sample output

{
  "id": "4473763235",
  "title": "Backend Engineer",
  "companyName": "Acme Corp",
  "companyUrl": "https://www.linkedin.com/company/acme-corp",
  "location": "Berlin, Germany",
  "jobFunction": "Engineering",
  "contractType": "Full-time",
  "experienceLevel": "Mid-Senior level",
  "workType": "Hybrid",
  "salary": "$90,000 - $120,000/yr",
  "applyType": "EASY_APPLY",
  "applyUrl": "https://www.linkedin.com/jobs/view/...",
  "postedTime": "2 hours ago",
  "publishedAt": "2026-09-30",
  "applicationsCount": "47 applicants",
  "benefits": "Be an early applicant",
  "posterFullName": "Jane Smith",
  "posterProfileUrl": "https://www.linkedin.com/in/jane-smith",
  "jobUrl": "https://www.linkedin.com/jobs/view/backend-engineer-at-acme-corp-4473763235",
  "description": "We are looking for a backend engineer to join our platform team...",
  "scrapingInfo": {
    "page": 1,
    "index": 3,
    "inputUrl": "https://www.linkedin.com/jobs/search/?keywords=Backend+Engineer&location=Germany"
  }
}

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Data fields

Field	Mode	Description
id	Both	LinkedIn numeric job ID
title	Both	Job title
companyName	Both	Hiring company name
companyUrl	Both	Company LinkedIn page URL
location	Both	Job location string
publishedAt	Both	ISO date the job was posted (e.g. 2026-09-30)
postedTime	Both	Relative posting time (e.g. "2 hours ago")
benefits	Both	Badge text (e.g. "Be an early applicant")
jobUrl	Both	Direct link to the job posting
scrapingInfo	Both	Internal metadata: page, index, and source URL
jobFunction	Details	Job function category (e.g. "Engineering")
contractType	Details	Employment type (e.g. "Full-time", "Contract")
experienceLevel	Details	Seniority level (e.g. "Entry level", "Mid-Senior level")
workType	Details	Work arrangement: "Remote", "Hybrid", or "On-site"
salary	Details	Salary range if listed by the employer
applyType	Details	"EASY_APPLY" or "EXTERNAL"
applyUrl	Details	Direct application URL
applicationsCount	Details	Number of applicants shown on the page
posterFullName	Details	Recruiter or poster display name
posterProfileUrl	Details	Recruiter LinkedIn profile URL
description	Details	Full plain-text job description

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Pricing / Cost estimation

The Actor runs on Apify's pay-per-event billing model. Costs depend on the number of pages crawled and whether detail pages are enabled.

Mode	Requests per 100 jobs	Notes
Fast (card only)	~4–5 pages	Very cheap — one API call per 25 results
Full details	~100–105 pages	One extra request per job

Rough estimates:

• Scraping 100 jobs in fast mode typically costs less than $0.01
• Scraping 100 jobs with full details costs roughly $0.05–$0.10 depending on proxy usage

New Apify accounts include a free tier that covers substantial usage. See the Apify pricing page for current limits and paid plan details.

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Tips and advanced options

Filter jobs to the last 24 hours
Add f_TPR=r86400 to your search URL. For the past hour, use f_TPR=r3600. LinkedIn supports multiple time values that you can set in the LinkedIn search UI and copy the URL.

Scrape multiple search URLs in one run
Add multiple objects to startUrls — the Actor deduplicates jobs across all of them, so you won't get duplicates even if the same job appears in multiple searches.

Keep costs low with fast mode + keyword filter
Use scrapeDetails: false with jobTitleExclude to quickly harvest thousands of job cards, then re-run with scrapeDetails: true only on the specific roles you care about.

Schedule for real-time alerts
Set the Actor to run on a 1-hour schedule with f_TPR=r3600 in the URL and a low maxItems (e.g. 25). Connect the output to a webhook or Apify integration (Slack, email, Google Sheets) to get instant notifications on new listings.

Use Apify Proxy for reliability
LinkedIn rate-limits unauthenticated requests aggressively. When running on the Apify platform, proxyConfiguration.useApifyProxy: true (the default) routes each request through a different datacenter IP, significantly reducing failures and retries. The proxy is automatically skipped during local development.

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FAQ, disclaimers, and support

Is scraping LinkedIn legal?
The Actor only accesses publicly available, non-authenticated LinkedIn job listings — the same data visible to any anonymous visitor. The legal landscape for web scraping public data varies by jurisdiction. Always review LinkedIn's Terms of Service and consult your legal team before large-scale or commercial use.

Why are some fields empty?
Not all jobs display every field. Salary, for example, is only listed by employers who opt in. Fields will be empty strings when the data is not present on the page.

Can it scrape private or behind-login content?
No. The Actor uses LinkedIn's public guest API and does not support authenticated sessions or scraping of member-only content.

The Actor returned fewer jobs than expected — why?
LinkedIn limits guest API access to a certain number of results per search (typically up to a few hundred per query). Narrow your search with more specific keywords, location filters, or date filters to get the most relevant results within those limits.

Known limitations:

• No authentication / login support
• LinkedIn may rate-limit or block requests in high-volume runs — use proxies and keep concurrency reasonable
• Job counts displayed on LinkedIn's UI are approximate and not always reachable via the guest API

Need help or a custom solution?
Open an issue in the Issues tab on Apify. For custom scraping solutions, data pipelines, or integrations, contact us through the Apify platform.

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About the author

Built by Ahmed Abdelsalam — Full-Stack & Backend Engineer with 5+ years of experience building scalable web architectures, high-performance APIs, and cloud infrastructure.

🌐 ahmedabdelsalam.dev