LinkedIn Jobs Scraper — No Login, Full Job Details avatar

LinkedIn Jobs Scraper — No Login, Full Job Details

Pricing

$1.00 / 1,000 jobs

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LinkedIn Jobs Scraper — No Login, Full Job Details

LinkedIn Jobs Scraper — No Login, Full Job Details

Scrape LinkedIn job listings by keyword, location or search URL without login or cookies: title, company, location, date, full description, seniority, employment type, applicants, Easy Apply and salary.

Pricing

$1.00 / 1,000 jobs

Rating

0.0

(0)

Developer

DataKiln Labs

DataKiln Labs

Maintained by Community

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1

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1

Total users

1

Monthly active users

a month ago

Last modified

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Extract job listings from LinkedIn Jobs without a LinkedIn account, cookies or browser extension. Type a keyword and a location (or paste a LinkedIn job search URL) and get clean, structured data for each job: title, company, location, posting date, full description, seniority level, employment type, industries, applicant count, Easy Apply flag and salary when LinkedIn shows one.

Pay only for what you get: $1 per 1,000 jobs, full details included. No monthly rental, no start fees.

What can you do with it?

  • 🧑‍💼 Job boards and aggregators. Feed fresh LinkedIn postings into your own site or newsletter. Use Sort by: Most recent and Date posted: Past 24 hours on a daily schedule.
  • 📊 Labour-market research. See who is hiring, for which roles, at what seniority and in which cities, and track it over time.
  • 🎯 Sales and recruiting leads. Companies hiring for a role are often buying the tools around it. Get company names and LinkedIn company pages for every opening.
  • 🤖 AI and matching pipelines. Full description text and HTML, ready for embeddings, classification or CV matching.
  • 🔔 Job alerts. Monitor remote, hybrid or Easy Apply jobs for a set of keywords.

How to use

  1. Enter one or more search keywords (python developer, data analyst) and a location (United States, London, Berlin, Germany). You can also paste LinkedIn job search URLs straight from your browser instead.
  2. Optionally filter by date posted, experience level, job type, on-site/remote/hybrid and Easy Apply, and set Max jobs per search.
  3. Click Start, then download the results as JSON, CSV, Excel or HTML, or send them to Make, Zapier, n8n, Google Sheets or your own API.

Input example

{
"searchQueries": ["data analyst", "marketing manager"],
"location": "London",
"datePosted": "pastWeek",
"workplaceType": ["remote", "hybrid"],
"experienceLevel": ["entry", "associate"],
"maxJobsPerQuery": 200,
"fetchJobDetails": true
}

Or reuse a search you set up on LinkedIn:

{
"searchUrls": ["https://www.linkedin.com/jobs/search/?keywords=react%20developer&location=Germany&f_TPR=r604800&f_WT=2"],
"maxJobsPerQuery": 100
}

Output example

{
"jobId": "4460718818",
"jobUrl": "https://www.linkedin.com/jobs/view/senior-devops-engineer-at-logicalis-germany-4460718818",
"title": "Senior DevOps Engineer",
"companyName": "Logicalis Germany",
"companyUrl": "https://www.linkedin.com/company/logicalisde",
"companyLogoUrl": "https://media.licdn.com/dms/image/v2/…/company-logo_100_100/…",
"location": "Frankfurt am Main, Hesse, Germany",
"postedAt": "2026-09-24",
"postedText": "2 weeks ago",
"salary": null,
"isEasyApply": false,
"isClosed": false,
"applicantsText": "56 applicants",
"seniorityLevel": "Mid-Senior level",
"employmentType": "Full-time",
"jobFunction": null,
"industries": "IT Services and IT Consulting",
"insight": "Actively Hiring",
"applyUrl": null,
"description": "As a Senior DevOps Engineer you will …",
"descriptionHtml": "<strong>Your role</strong><br><ul><li>…</li></ul>",
"searchQuery": "devops engineer",
"searchUrl": "https://www.linkedin.com/jobs/search/?keywords=devops+engineer&location=Germany",
"scrapedAt": "2026-10-09T15:35:17+00:00"
}

All fields

FieldDescription
jobId, jobUrlLinkedIn job ID and a direct link to the posting
titleJob title
companyName, companyUrl, companyLogoUrlHiring company, its LinkedIn page and logo
locationJob location as shown on LinkedIn
postedAt, postedTextPosting date (ISO YYYY-MM-DD) and LinkedIn's relative text ("3 days ago")
salarySalary range, when LinkedIn shows one on the listing
isEasyApplytrue = apply with LinkedIn Easy Apply, false = apply on the company's website
isClosedtrue when the posting says "No longer accepting applications"
applicantsText"Be among the first 25 applicants", "68 applicants", "Over 200 applicants"
seniorityLevel, employmentTypee.g. "Mid-Senior level", "Full-time"
industries, jobFunctionCompany industry and job function, when LinkedIn shows them
insightLinkedIn's highlight on the card, e.g. "Actively Hiring", "Be an early applicant"
applyUrlExternal apply link, when LinkedIn exposes it publicly
description, descriptionHtmlFull job description as clean text (line breaks, bullets) and the original HTML
searchQuery, searchUrlWhich of your searches found the job, and the equivalent LinkedIn search URL
scrapedAtWhen the job was scraped (UTC)

With Get full job details turned off you get only the card fields (title, company, location, dates and Easy Apply when filtered). It's faster and costs the same.

Filters

InputLinkedIn filter
Date posted: any / past 24 hours / past week / past monthf_TPR
Experience level: internship, entry, associate, mid-senior, director, executivef_E
Job type: full-time, part-time, contract, temporary, internship, volunteer, otherf_JT
On-site / remote: on-site, remote, hybridf_WT
Easy Apply onlyf_AL
Sort by: most relevant / most recentsortBy

For search URLs, every filter already in the URL (including geoId, distance, f_C company filters and so on) is kept as it is. The input filters only add what the URL doesn't set.

Pricing

Pay per result: $0.001 per job ($1 per 1,000 jobs), with full details included. Platform usage is included. You can cap what a run costs with Max total charge in the run options. The scraper stops cleanly when it reaches the cap.

Each job is saved and charged once per run, even when several of your searches return it.

FAQ

Do I need a LinkedIn account or cookies? No. The scraper uses only LinkedIn's public job listings, the same pages anyone can open in a private browser window without logging in. No login, cookies or accounts are used, so your own LinkedIn account is never at risk.

Why do I get at most ~1,000 jobs per search? LinkedIn's public job search stops after about 1,000 results for any single search, however many jobs it says it has. To collect more, split the search: run the same keywords in several locations (cities instead of a country), use narrower date windows (past 24 hours on a daily schedule), or split by experience level, job type or remote/hybrid. Each search gets its own 1,000-result window, and duplicates across searches are removed automatically.

Why are some fields empty? LinkedIn shows salary, applicant count, job function and the external apply link only for some postings, and often not to logged-out visitors. When a value isn't public, the field is null. You still get the job and its description.

A job's details are missing. Why? If a posting is closed or removed between the search and the detail request, or LinkedIn rate-limits a request after several retries on new IPs, you still get the card data (title, company, location, date), and the run continues.

How fast is it? About 200 jobs with full details per minute with the default settings. Card-only scrapes (Get full job details off) are several times faster.

Can I monitor new jobs? Yes. Schedule the Actor with Sort by: Most recent and Date posted: Past 24 hours, and connect the dataset to your sheet, Slack or database.

Is it legal? The scraper collects only publicly available job postings that companies publish so people will see them. You are responsible for using the data in line with LinkedIn's terms and the laws that apply to you, including data-protection rules for any personal data.

Support

Found a bug or need a field that's missing? Open an issue on the Issues tab. We usually reply within 24 hours.