LinkedIn Jobs Scraper

hipersoft/linkedin-jobs-scraper

Scrape public LinkedIn job listings by keyword and location: job title, company, location, posted date, salary, seniority, employment type, function, industry, applicant count and full description. Filter by date, remote/on-site, job type and experience. One row per job as JSON, CSV or Excel.

Run this scraper →See the API call

Total users

Monthly users

Total runs

Per job scraped

$0.003

Last rebuilt

Oct 26, 2026

Overview

Scrape public LinkedIn job listings at scale with the LinkedIn Jobs Scraper. Search by keyword and location and export every job's title, company, location, posted date, salary, seniority, employment type, function, industry, applicant count and full description — one clean row per job as JSON, CSV or Excel.

Built for recruiters, job boards, market and salary research, talent sourcing and hiring analytics, it turns LinkedIn's public job search into a structured, filterable dataset.

What it does

🔎 Search by keyword & location — any job title or keyword, in any city, region or country.
🎛️ Powerful filters — date posted (24h / week / month), workplace type (on-site / remote / hybrid), job type (full-time, part-time, contract, internship…) and experience level.
🏢 Rich listing data — title, company, company page, location, posted date, salary (when shown) and company logo.
📄 Full job details (optional) — description, seniority level, employment type, job function, industries and applicant count.
🔁 Sort — by relevance or most recent.
📤 Export anywhere — JSON, CSV or Excel, or straight into a sheet, ATS or dashboard.

Example output

{
  "jobId": "4467819994",
  "title": "Senior Data Analyst",
  "company": "SC Shipping Singapore Pte Ltd",
  "location": "Singapore, Singapore",
  "postedText": "2 days ago",
  "employmentType": "Full-time",
  "seniorityLevel": "Mid-Senior level",
  "jobFunction": "Information Technology",
  "industries": "Maritime Transportation",
  "applicants": "23 applicants",
  "url": "https://www.linkedin.com/jobs/view/4467819994"
}

How to use it

Enter one or more job keywords and a location.
Optionally set filters — date posted, workplace type, job type, experience level and sort order.
Turn on Include full description & details if you want each job's description and metadata.
Set Max jobs and run. Download the results as JSON, CSV or Excel.

Input fields

Field	Description
Job keywords	Titles/keywords to search; each runs its own search.
Location	City, region or country.
Geo ID	Optional precise LinkedIn location ID.
Date posted	Any time, 24 hours, week or month.
Workplace type	On-site, remote or hybrid.
Job type	Full-time, part-time, contract, temporary, internship, volunteer.
Experience level	Internship through executive.
Sort by	Relevance or most recent.
Include full description & details	Fetch each job's description + metadata.
Max jobs	Maximum jobs to collect (0 = no limit).

Output fields

jobId, title, company, companyUrl, location, postedAt, postedText, salary, companyLogo, url, description, seniorityLevel, employmentType, jobFunction, industries, applicants.

Popular use cases

Recruiting & sourcing — track open roles by title and location.
Job boards & aggregators — feed fresh listings into your own site.
Salary & market research — analyse demand, seniority and functions by region.
Competitive hiring intel — watch which companies are hiring for what.
Talent analytics — build datasets of roles, industries and applicant interest.

FAQ

Do I need an account or key? No. Enter your keywords and location and run — only public job listings are collected.

What data does it return? Public job listing fields, plus optional full descriptions and job metadata (seniority, employment type, function, industry, applicants).

Can I filter to recent or remote jobs? Yes — filter by date posted, workplace type (including remote), job type and experience level.

Can I export to Excel or Google Sheets? Yes — results download as JSON, CSV or Excel and integrate with Sheets, ATS tools and dashboards.

How many jobs can I collect? Set Max jobs to whatever you need; the scraper paginates through the results for each search.

Structured public LinkedIn job listings — title, company, location, type and full details — searchable, filterable and export-ready for recruiting and research.

Input

Field	Type	Description
`searchQueries` Job keywords	array	Job titles or keywords to search — e.g. 'data analyst', 'react developer'. Each runs its own search. Leave empty to search by location only.
`location` Location	string	City, region or country to search in — e.g. 'Singapore', 'London', 'United States'.
`geoId` Geo ID (advanced)	string	Optional LinkedIn geo ID for a precise location. Overrides the location text when set.
`datePosted` Date posted	string · , r86400, r604800, r2592000	Restrict to jobs posted within a time window.
`workplace` Workplace type	string · , 1, 2, 3	On-site, remote or hybrid.
`jobType` Job type	string · , F, P, C, T, I…	Employment type.
`experience` Experience level	string · , 1, 2, 3, 4, 5…	Seniority / experience level.
`sortBy` Sort by	string · , R, DD	Order results by relevance or most recent.
`includeDescription` Include full description & details	boolean	Fetch each job's full description plus seniority, employment type, function, industry and applicant count. Slower (one extra request per job). Default: `false`
`maxItems` Max jobs	integer	Maximum number of jobs to collect (0 = no limit). Default: `100`

API

curl -X POST "https://api.apify.com/v2/acts/hipersoft~linkedin-jobs-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
  "searchQueries": [
    "data analyst"
  ],
  "location": "Singapore"
}'

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("hipersoft/linkedin-jobs-scraper").call(run_input={
    "searchQueries": [
        "data analyst"
    ],
    "location": "Singapore"
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('hipersoft/linkedin-jobs-scraper').call({
  "searchQueries": [
    "data analyst"
  ],
  "location": "Singapore"
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Pricing

Event	Price	Paid plans from
Job scraped Charged for each LinkedIn job returned.	$0.003	$0.0015

You pay only for what the run returns. Set a maximum cost per run and it stops cleanly at that limit.

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