LinkedIn Jobs Scraper - Listings, Salaries & Details

LinkedIn Jobs Scraper by ScraperCompany reads LinkedIn's public job search, the one anyone can see without signing in, in two modes. Job search returns up to 10 job cards per page with title, company, company link and logo, location, posted date, salary (when shown), insights and link, with LinkedIn's posted-within, distance, Easy Apply, under-10-applicants and company filters, and paging up to 100 pages. Job details returns a posting's full description (plain text and clean HTML), salary range with its label, seniority level, employment type, job function, industries, applicant count, closed flag and numeric company id. Pricing is pay-per-event: $0.003 per results page or job; failed requests and empty pages are not charged.

Proxies, retries and anti-bot handling are built in, so you don't need your own proxies or an API key. Start a run, get structured JSON.

What can this LinkedIn scraper do?

• Job search by keywords and location, up to 100 pages of 10 jobs.
• Filters: posted within (day, week, month), distance, Easy Apply, fewer than 10 applicants, company ids, LinkedIn geo id.
• Job details by job id or LinkedIn link: description, salary range, seniority, employment type, industries, applicants, closed flag.
• Company ids from Job details feed the company filter of Job search.
• No LinkedIn account, cookies or browser needed. Empty pages are free.

Modes

Mode	What it returns	Price per request
jobs	Job cards for a keyword and location search: title, company, location, posted date, salary, insights, link	$0.003
job	Full posting by job id or link: description (text and HTML), salary, seniority, employment type, industries, applicants, company id	$0.003

Use cases for LinkedIn data

• Recruiters: Watch new postings for the roles and cities you hire in.
• Job-market analysts: Measure hiring demand, seniority mix and advertised pay by role and region.
• Sales teams: Find companies that are hiring for the teams you sell to.

What LinkedIn data can you extract?

Field	Description
jobs_results[].job_id / title / company / location	The job card
jobs_results[].posted_at / posted	Posting date and LinkedIn's relative age
jobs_results[].salary / insights	Salary when shown, and LinkedIn's insights (e.g. "Actively Hiring")
jobs_results[].link / company_url / company_logo	Links
next_page	Next page number (null on the last page)
job.description / description_html	Full description (Job details)
job.salary / salary_label	Pay range and who provided it (Job details)
job.seniority_level / employment_type / industries / job_function	Criteria (Job details)
job.applicants / closed / company_id	Applicants, closed flag, company id (Job details)

Every dataset item also carries input (the exact request that was sent), request_id (quote it to support), billed and scraped_at.

How to scrape LinkedIn jobs

1. Open LinkedIn Jobs Scraper in Apify Console and go to the Input tab.
2. Enter job searches and a location, and set Pages per query for more results. For full postings, switch Mode to Job details and paste job ids or links.
3. Adjust the options if needed. Dates accept an exact date (2026-12-01) or a relative one (30 days from today), so saved tasks and schedules never go stale.
4. Click Start and wait for the run to finish.
5. Download the results from the Output tab as JSON, CSV, Excel or HTML, or fetch them with the Apify API.

Input example

This is the default input; running the Actor without changes uses it.

{
  "mode": "jobs",
  "queries": [
    "data analyst"
  ],
  "location": "Toronto, Ontario, Canada",
  "maxPages": 1,
  "jobIds": [
    "4464227292"
  ],
  "includeErrors": true,
  "maxConcurrency": 3,
  "maxRetries": 2
}

Output example

One dataset item per request (trimmed here; real items contain every field the API returns):

{
  "mode": "jobs",
  "endpoint": "/v1/linkedin/jobs",
  "input": {
    "keywords": "python developer",
    "location": "United States"
  },
  "jobs_results": [
    {
      "company": "Andreessen Horowitz",
      "company_logo": "https://media.licdn.com/dms/image/v2/D560BAQFs3wvS2NM10g/company-logo_100_100/B56ZaiHxu.GoAc-/0/1746476670161/a16z_logo?e=2147483647&v=beta&t=sAyMO5tlSPsBt9w...",
      "company_url": "https://www.linkedin.com/company/a16z",
      "insights": [
        "Actively Hiring"
      ],
      "job_id": "4458251161",
      "link": "https://www.linkedin.com/jobs/view/4458251161/",
      "location": "San Francisco, CA",
      "posted": "17 hours ago",
      "posted_at": "2026-10-06",
      "title": "Software Engineer, Backend (Partner 16, Partner 18)"
    },
    {
      "company": "Synechron",
      "company_logo": "https://media.licdn.com/dms/image/v2/D4E0BAQGU3XDmI-XtZg/company-logo_100_100/B4EZbozLqWHcAU-/0/1747662453848/synechron_logo?e=2147483647&v=beta&t=967JcOKqVU...",
      "company_url": "https://www.linkedin.com/company/synechron",
      "insights": [
        "Actively Hiring +8 benefits"
      ],
      "job_id": "4464227292",
      "link": "https://www.linkedin.com/jobs/view/4464227292/",
      "location": "Jersey City, NJ",
      "posted": "3 weeks ago",
      "posted_at": "2026-09-11",
      "title": "Python Developer"
    }
  ],
  "meta": {
    "elapsed_s": 0.47,
    "source": "linkedin"
  },
  "next_page": 2,
  "search_parameters": {
    "easy_apply": true,
    "engine": "linkedin_jobs",
    "keywords": "python developer",
    "location": "United States",
    "page": 1
  },
  "total": 2,
  "request_id": "req_3f9c0d6e2b8a4c1f9e7d5b3a1c0e8f6d",
  "billed": true,
  "scraped_at": "2026-10-01T14:03:27.512Z"
}

A request that fails is saved with an error message instead (turn off Include failed requests to skip those). Failed requests are never charged.

How much does it cost to scrape LinkedIn jobs?

This Actor uses pay-per-event pricing: you pay for successful API requests, not for compute time.

Event	Charged when	Price	Per 1,000
search-page	One page of LinkedIn job search results (up to 10 jobs). Empty pages are free.	$0.003	$3.00
job-detail	One posting's full details: description, salary, seniority, employment type, industries, applicants.	$0.003	$3.00

For example, 1,000 requests in the default mode cost $3.00.

• Failed requests (errors, invalid input, blocked upstream after retries) are free.
• Requests where the source returns nothing at all (no results, nothing priced) are saved but not charged.
• Set Maximum cost per run when you start a run and the Actor stops cleanly before going over it.

FAQ

Do I need proxies or an API key?

No. Proxy rotation, retries and anti-bot handling are built in, and the Actor is ready to run as is. You only pay the per-event prices above.

Do I need a LinkedIn account?

No. The Actor reads the job search and posting pages LinkedIn shows to signed-out visitors, so no account, cookies or session is used.

Why are job type, experience level and remote filters missing?

LinkedIn ignores them on signed-out searches, so offering them would return unfiltered results. Filter on employment_type and seniority_level from Job details instead.

How many jobs can one search return?

LinkedIn serves up to 100 pages of 10 jobs per search. Split broad searches by location or posting date to go further.

Is it legal to scrape LinkedIn jobs?

The Actor collects publicly available information that anyone can see without logging in. You are responsible for how you use the results: respect the source site's terms, copyright and privacy law (such as GDPR) and do not collect personal data without a lawful basis. If in doubt, ask a lawyer.

What happens when a request is blocked or rate-limited?

Rate limits (HTTP 429) and temporary errors (5xx) are retried automatically with exponential backoff, respecting Retry-After. If a request still fails it is saved with the error message and not charged, and the rest of the batch keeps going. A run only fails when every request failed.

Why did a request return an error?

Read the error field: validation problems (for example a malformed date or an unknown id) are reported exactly as the API sees them. Fix the input and run again; failed requests cost nothing.

How many requests can I run at once?

Any number per run. The Actor sends up to 3 requests in parallel by default (change it under Run options); larger batches simply take longer.

Use it from your code

Call the Actor from any language through the Apify API. With the JavaScript client (npm install apify-client):

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('scrapercompany/linkedin-jobs-scraper').call({
    "mode": "jobs",
    "queries": [
        "data analyst"
    ]
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

With Python (pip install apify-client):

import os
from apify_client import ApifyClient

client = ApifyClient(os.environ["APIFY_TOKEN"])
run = client.actor("scrapercompany/linkedin-jobs-scraper").call(run_input={
    "mode": "jobs",
    "queries": ["data analyst"],
})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

You can also schedule runs, chain them with webhooks, or connect them to Make, Zapier, n8n, Google Sheets and other integrations from the Integrations tab.

Related scrapers

• Indeed Scraper: the same roles on Indeed
• Careers Page Jobs Scraper: every opening straight from a company's own careers site

Support

Questions, a field you need, or a site that stopped working? Open an issue on the Issues tab. Include the request_id from the dataset item so we can trace the request.