LinkedIn Jobs Scraper

What does LinkedIn Jobs Scraper do?

LinkedIn Jobs Scraper collects public job postings from LinkedIn without a login, cookies or a LinkedIn account. You give it job keywords and a location, LinkedIn search URLs copied from your browser, or individual job URLs. In one run it pages through the search results and then opens every job page, so each result already contains the full description (plain text and HTML), salary range when the employer shows one, applicant count, seniority level, employment type, industries, company name, company page and logo, location, posting date and whether the job still accepts applications. Duplicate jobs across your queries are removed automatically. You can narrow searches by date posted, from the last few hours up to the last month. Results download as JSON, CSV, Excel or HTML, or flow into Google Sheets, Make, Zapier and your own code through the Apify API. You pay only for jobs delivered.

What data can I get from LinkedIn job postings?

Field	Example	Source
jobId, url	4476360306	Search card
title, companyName, companyUrl, companyLogo	NBCUniversal	Search card and job page
location, workplaceType	New York, NY	workplaceType only when LinkedIn writes it in the location, such as "(Remote)"
postedAt, postedText	2026-10-06, 1 week ago	Search card (date only)
salary	{ text, min, max, currency, period }	When the employer shows pay
applicantsCount, applicantsText	200, Over 200 applicants	Job page
seniorityLevel, employmentType, industries, jobFunction	Associate, Full-time	Job page
descriptionText, descriptionHtml	Full job description	Job page
isClosed	false	Job page ("No longer accepting applications")
applyType, applyUrl	offsite, null	Job page
benefits	Actively Hiring	Search card badge
searchQuery, scrapedAt	data analyst in New York, NY	Added by the scraper

How do I use LinkedIn Jobs Scraper?

1. Enter one or more job keywords and a location, or paste LinkedIn job search URLs or job URLs.
2. Set how many jobs you want per query and, if you like, a date posted window.
3. Click Start and download your jobs when the run finishes.

Input

Field	Type	Default	Description
searchQueries	array		Keywords such as "data analyst", or objects like {"keywords": "nurse", "location": "Texas"}
location	string		Location used by keyword queries without their own location. Empty means worldwide.
startUrls	array		LinkedIn job search URLs (linkedin.com/jobs/search/?...) and job URLs (linkedin.com/jobs/view/<id>)
maxJobsPerQuery	integer	50	Maximum jobs per query or search URL
includeDetails	boolean	true	Open each job page for description, applicants, salary and criteria. Same price either way.
postedWithin	string	any	any, 24h, week, month, or a number of hours such as 6
maxConcurrency	integer	10	Pages loaded at the same time
maxRequestRetries	integer	6	Attempts per page, each on a new proxy IP
proxy	object	Residential	Apify Proxy settings

Input example

{
  "searchQueries": ["data analyst", { "keywords": "registered nurse", "location": "California" }],
  "location": "New York, NY",
  "startUrls": [
    { "url": "https://www.linkedin.com/jobs/search/?keywords=python&location=Berlin&f_TPR=r604800" },
    { "url": "https://www.linkedin.com/jobs/view/4476360306" }
  ],
  "maxJobsPerQuery": 50,
  "includeDetails": true,
  "postedWithin": "week",
  "proxy": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }
}

Output example

A real item from a test run on 2026-10-17 (description shortened here):

{
  "jobId": "4476360306",
  "url": "https://www.linkedin.com/jobs/view/4476360306",
  "title": "Data Analyst - Digital Media Sales, NBCU Local",
  "companyName": "NBCUniversal",
  "companyUrl": "https://www.linkedin.com/company/nbcuniversal-inc-",
  "companyLogo": "https://media.licdn.com/dms/image/v2/D4E0BAQHIwjfYY3sIoQ/company-logo_100_100/B4EZq9EoPBKoAQ-/0/1764108698870/nbcuniversal_inc__logo?e=2147483647&v=beta&t=AFdpKqbJ0ukvxZUJcdTNXTVTm4EstjF6KbqK0olCRHI",
  "location": "New York, NY",
  "postedAt": "2026-10-06",
  "postedText": "1 week ago",
  "salary": { "text": "$62,000.00/yr - $72,000.00/yr", "min": 62000, "max": 72000, "currency": "USD", "period": "year" },
  "benefits": "Actively Hiring",
  "workplaceType": null,
  "searchQuery": "data analyst in New York, NY",
  "applicantsText": "Over 200 applicants",
  "applicantsCount": 200,
  "seniorityLevel": "Associate",
  "employmentType": "Full-time",
  "jobFunction": null,
  "industries": "Broadcast Media Production and Distribution",
  "descriptionText": "NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, t...",
  "descriptionHtml": "<p>NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we...",
  "isClosed": false,
  "applyType": "offsite",
  "applyUrl": null,
  "scrapedAt": "2026-10-17T16:57:43.914Z"
}

How much does it cost to scrape LinkedIn jobs?

$1.50 per 1,000 jobs, with job details included at no extra charge. A job is charged only when it is delivered: with details on, a job whose page could not be loaded after all retries is listed in the FAILED_ITEMS record of the key-value store and is not charged. Proxy costs are covered by the price.

FAQ

Do I need a LinkedIn account?

No. The scraper reads the same public job pages LinkedIn shows to logged-out visitors. It never logs in, never uses cookies or accounts, and never tries to get past a login wall or a captcha. If LinkedIn blocks a request, the scraper retries from a new IP and otherwise skips the job.

Why do I get fewer jobs than LinkedIn shows?

LinkedIn shows logged-out visitors fewer results than members see and stops serving a search after roughly 1,000 results. The count LinkedIn displays is also an estimate that includes promoted and duplicate listings. The scraper removes duplicates across all your queries, so the same job is never returned or charged twice. To collect more, split a broad search into several narrower ones by city or keyword.

Which filters work?

Keywords, location (as text, or geoId from a pasted search URL) and date posted (postedWithin: last N hours, 24 hours, week or month). We tested the other LinkedIn filters on 2026-10-17 with logged-out requests: workplace type (remote, hybrid, on-site), experience level, job type and sort order returned exactly the same jobs as without the filter. LinkedIn only applies them for logged-in members, so this scraper does not offer them and ignores them in pasted search URLs rather than pretend they work. If LinkedIn writes "(Remote)" or "(Hybrid)" in a job's location, the scraper fills workplaceType from it.

Is it legal to scrape LinkedIn jobs?

This scraper collects only job postings that LinkedIn publishes to anyone on the web without a login. It does not collect member profiles or any data behind a login. Note that LinkedIn's User Agreement prohibits scraping, and laws on web scraping and on processing personal data, such as GDPR, differ by country. You are responsible for how you use the scraper and the data, including complying with LinkedIn's terms and the laws that apply to you. This is not legal advice; if in doubt, ask a lawyer.

Known limits

• postedAt is a date without a time, and only search results carry it. Jobs added by a job URL have postedAt: null and only the relative postedText.
• applyUrl is usually null: logged-out pages hide the external apply link behind a sign-in prompt. applyType tells you when a job applies on the employer's site (offsite).
• jobFunction is often null because LinkedIn currently leaves it out of many public job pages.
• applicantsCount is a floor for "Over 200 applicants" (200) and null for "Be among the first 25 applicants".
• Salary is returned only when the employer shows it, mostly in US states with pay transparency laws.
• workplaceType is filled only when LinkedIn writes it in the location text.
• LinkedIn changes its public pages from time to time; if a field stops filling, please open an issue.