LinkedIn Jobs Scraper - Job Type Filter

LinkedIn Jobs Scraper - LinkedIn jobs filtered by remote or hybrid, level and job type, searched across many locations, with applicant counts as numbers.

What does LinkedIn Jobs Scraper do?

Remote/hybrid, experience-level and job-type filters, a list of locations in one run (to get past the 1000-job cap of one search), newest-first sorting and applicantsNumber as a real number - same input names as curious_coder/linkedin-jobs-scraper.

• Workplace type filter (onsite, remote, hybrid)
• Experience level and job type filters
• locations list: one run searches many places and passes the 1000-job limit of a single search
• sortBy recent lists the newest postings first; applicantsNumber is a real number
• onlyNew returns just jobs not seen last run; same input names as curious_coder/linkedin-jobs-scraper

Who uses LinkedIn Jobs Scraper, and for what

• Recruiters - see new remote postings for a skill every morning
• Analysts - export a whole country's job market by listing many cities
• Developers - call it from code with filters and a numeric applicant count

What this LinkedIn Jobs Scraper does that users of the usual tools ask for

• Contract type filter that works - in the employmentType field
• The country you asked for, checkable on every row - in the locationCountry field
• Newest postings first by date - in the postedAt field

Switching takes one minute

The input and result field names are the ones the most used LinkedIn Jobs Scraper has, so the input JSON your code already sends works unchanged and your pipeline reads the same fields - plus the new ones above.

Why this LinkedIn Jobs Scraper?

Tools with their own field names force code rewrites, and expensive ones lose scheduled users. This LinkedIn Jobs Scraper checks every run and tells you plainly when a page could not be read, instead of returning empty or wrong rows.

Data you get from LinkedIn Jobs Scraper

Every result is one flat row with these fields (values from a real run):

Field	Example
id	4476590411
trackingId	2j82ouINsW/IiO7BXvczKQ==
refId	KZhV1l5jfHWWibAROC3E1g==
link	https://uk.linkedin.com/jobs/view/data-analyst-at-searchabil...
title	Data Analyst
companyName	Searchability NS&D
companyLinkedinUrl	https://uk.linkedin.com/company/searchability-ns-d
companyLogo	https://media.licdn.com/dms/image/v2/D4D0BAQEqyWQxZBHMhQ/com...
location	London Area, United Kingdom
salaryInfo	[]
postedAt	2026-10-07
benefits	["Actively Hiring"]
descriptionHtml	New Permanent Opportunity for a Security Cleared ...
applicantsCount	Over 200 applicants
applyUrl	null
descriptionText	New Permanent Opportunity for a Security Cleared Data Analys...
seniorityLevel	Mid-Senior level
employmentType	Full-time
jobFunction	null
industries	Data Infrastructure and Analytics and IT Services and IT Con...
inputUrl	search: data analyst London, United Kingdom
changeType	new
applicantsNumber	200
postedAgo	3 weeks ago
companyKey	searchability-ns-d

How to use LinkedIn Jobs Scraper

1. Press Start - the form already holds an example that works.
2. Put in your own input (see the fields on the Input tab).
3. Run it once, or put it on an Apify Schedule (with only new on, where the form has it) to get just what is new every day; add a webhookUrl to get each run's rows sent to your own system, Zapier, Make or Slack.
4. Download the results as JSON, CSV or Excel, or send them to Google Sheets, Zapier, Make, the Apify API or an AI agent (Apify MCP server).

Input example

{
  "urls": [],
  "keywords": "python developer",
  "location": "United States",
  "datePosted": "",
  "companyIds": [],
  "under10Applicants": false,
  "autoConvertToAiSearch": false,
  "scrapeCompany": true,
  "limitPerSource": 3,
  "splitByLocation": false,
  "splitCountry": "",
  "useApifyProxy": true,
  "proxyGroups": [],
  "onlyNew": false,
  "locations": [],
  "workplaceType": [],
  "jobType": [],
  "experienceLevel": [],
  "sortBy": "relevant"
}

Output example (a real run)

[
  {
    "id": "4476590411",
    "trackingId": "2j82ouINsW/IiO7BXvczKQ==",
    "refId": "KZhV1l5jfHWWibAROC3E1g==",
    "link": "https://uk.linkedin.com/jobs/view/data-analyst-at-searchability-ns-d-4476590411",
    "title": "Data Analyst",
    "companyName": "Searchability NS&D",
    "companyLinkedinUrl": "https://uk.linkedin.com/company/searchability-ns-d",
    "companyLogo": "https://media.licdn.com/dms/image/v2/D4D0BAQEqyWQxZBHMhQ/company-logo_100_100/company-logo_100_100/0/1723020262823/searchability_ns_d_logo?e=2147483647&v=beta&t=pOPd9MYoJ1Jys9xYXar2D56OhJkX1gaActq2Jl65AMo",
    "location": "London Area, United Kingdom",
    "salaryInfo": [],
    "postedAt": "2026-10-07",
    "benefits": [
      "Actively Hiring"
    ],
    "descriptionHtml": "<p><strong>New Permanent Opportunity for a Security Cleared Data Analyst</strong></p><ul><li>Must have active SC Clearance</li><li>Mid to Senior levels available</li><li>Up to £60k DoE plus package</li><li>Hybrid working – bases in Bristol, London, Manchester or Swansea</li></ul><p><br></p><p><strong>Who are we?</strong></p><p>Our client is a leading technology consultancy delivering complex digital and data transformation programmes across the UK public sector.</p><p>Their teams work with clients to make better use of their data, delivering analytical solutions and insights that support better decision-making across a range of critical services.</p><p><br></p><p><strong>What will the Data Analyst be doing?</strong></p><p>You’ll be responsible for analysing data and turning complex datasets into clear, actionable insights, working closely with clients and technical teams to solve challenging business problems.</p><p>The role will involve data analysis, statistical techniques, data visualisation and communicating findings to both technical and non-technical stakeholders.</p><p><br></p><p><strong>Key responsibilities include:</strong></p><ul><li>Analysing and interpreting complex datasets to identify trends, relationships and actionable insights</li><li>Applying statistical techniques including hypothesis testing, regression and clustering</li><li>Carrying out data mining, profiling and exploratory analysis across varied datasets</li><li>Cleaning, standardising and transforming data to improve its quality and usability</li><li>Performing data linkage and integrating information from multiple sources</li><li>Developing data models and selecting appropriate analytical approaches to answer business questions</li><l

One flat row per result.

Built for pipelines

• Field names never change - fixes and new features only ever add fields, so your code keeps working.
• Every row has the same shape - a missing value is null, never a dropped field.
• A plain status line on every run - how many results, and on a problem what to change in the input - for your logs and for AI agents.
• Runs on its own - put it on an Apify Schedule and add a webhookUrl: each run's rows go straight to your system, Zapier, Make or Slack.

How much does LinkedIn Jobs Scraper cost?

You pay only per result (pay per event) - no monthly fee, no minimum, and the price per result is lower on Apify's Bronze, Silver and Gold plans. The exact price is on the Pricing tab. Apify's free plan credit is enough to try it on real input.

You want	What you pay for
A quick test with the example	a few results
A daily scheduled run	only the rows that run returns
A big one-off export	the results delivered - set a maximum in the input

Also searched as

• linkedin job api
• linkedin jobs monitor
• linkedin job search scraper
• scrape linkedin jobs
• linkedin jobs export

FAQ

Does LinkedIn Jobs Scraper need a login, cookies or an API key? No. It reads public pages only.

Can I run LinkedIn Jobs Scraper on a schedule? Yes - with Apify Schedules; each run returns fresh rows.

Can I call it from Python, JavaScript or an AI agent? Yes - through the Apify API, the Apify client libraries or the Apify MCP server.

Is it legal? It collects only data anyone can see without logging in. You are responsible for using it within the source site's terms and data protection law (GDPR, CCPA).

What if the site blocks a request? The run retries from a fresh connection and, if it still cannot read the page, stops with a clear message - never with made-up rows.

Do I need proxies? No setup needed - LinkedIn Jobs Scraper uses Apify Proxy by default where the site needs it.

Troubleshooting

• No results: check the input (a public URL or a search term that returns results in a normal browser), then try the example input once.
• Fewer results than expected: raise the maximum in the input; some sites show only a part of their data without logging in, and LinkedIn Jobs Scraper never logs in.
• The run stopped with a message: the message says what the site answered; run it again later or with fewer items.

Your feedback

Missing a field, found a bug, or need another site? Open an issue on the Issues tab - issues are answered and fixed. If LinkedIn Jobs Scraper saved you time, a short review on this page helps others find it.

Data source: www.linkedin.com/jobs

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