LinkedIn Jobs Scraper - PPR

Scrape jobs from LinkedIn jobs search results along with company details. Get key information to find contact info.

This tool scrapes jobs from the public version of LinkedIn jobs search which does not require cookies or login.

Getting Started

1. Go to LinkedIn jobs search page
2. Search with your required filters
3. Once done, copy the full URL from the address bar
4. Paste the URL into this actor's Start URLs input field

Alternatively, provide Search Keywords and Search Location directly.

Features

• No cookies or login required — scrapes publicly accessible data only
• Company details — description, website, employee count, industry, specialties
• Job poster info — recruiter name, title, photo, profile URL
• Full job descriptions — HTML and plain text
• Salary info — when available from LinkedIn
• Split search by location — overcome LinkedIn's ~1000 results limit per search by auto-splitting into city-level searches
• Deduplication — automatically ignores duplicate jobs across searches
• PPR pricing — pay per result model

Related Scrapers

• Indeed jobs scraper — extract jobs data from Indeed
• Apollo leads scraper — find email addresses for companies

Overcoming LinkedIn's 1000 Job Limit

LinkedIn limits the number of jobs per search to ~1000 even though total matching jobs are far more. To overcome this:

1. Enable "Split search URLs by location"
2. Select a Target Country
3. The scraper will generate multiple search URLs targeting different cities in that country
4. Duplicate jobs are automatically ignored

Sample Output Data

{
    "id": "3692563200",
    "link": "https://www.linkedin.com/jobs/view/3692563200",
    "title": "English Data Labeling Analyst",
    "companyName": "Facebook",
    "companyLinkedinUrl": "https://www.linkedin.com/company/facebook",
    "companyLogo": "https://media.licdn.com/dms/image/...",
    "location": "Los Angeles Metropolitan Area",
    "salaryInfo": ["$17.00", "$19.00"],
    "postedAt": "2025-08-16",
    "benefits": ["Actively Hiring"],
    "descriptionHtml": "<p>APPROVED REMOTE LOCATIONS: ...</p>",
    "descriptionText": "APPROVED REMOTE LOCATIONS: ...",
    "applicantsCount": "200",
    "applyUrl": "",
    "jobPosterName": "Andrea Cowan",
    "jobPosterTitle": "Technical Recruiter at Meta",
    "jobPosterPhoto": "https://media.licdn.com/dms/image/...",
    "jobPosterProfileUrl": "https://ca.linkedin.com/in/andrea-cowan-458b5423b",
    "seniorityLevel": "Associate",
    "employmentType": "Contract",
    "jobFunction": "Other",
    "industries": "Retail Office Equipment",
    "companyDescription": "The Facebook company is now Meta...",
    "companyWebsite": "https://www.meta.com",
    "companyEmployeesCount": 36275,
    "companyIndustry": "Technology, Information and Internet",
    "companySpecialties": null,
    "companyType": "Public Company",
    "companyFounded": "2004",
    "companyHeadquarters": "Menlo Park, CA"
}

Output Fields

Field	Description
id	Unique LinkedIn job posting ID
link	Direct URL to job listing
title	Job title
companyName	Hiring company name
companyLinkedinUrl	Company's LinkedIn page
companyLogo	Company logo URL
location	Job location
salaryInfo	Salary range (array)
postedAt	Date posted
benefits	Job benefits/badges
descriptionHtml	Full description in HTML
descriptionText	Full description in plain text
applicantsCount	Number of applicants
applyUrl	External application URL
jobPosterName	Recruiter/poster name
jobPosterTitle	Recruiter/poster title
jobPosterPhoto	Recruiter/poster photo URL
jobPosterProfileUrl	Recruiter/poster LinkedIn profile
seniorityLevel	Seniority level
employmentType	Employment type
jobFunction	Job function
industries	Industry
companyDescription	Full company description
companyWebsite	Company website URL
companyEmployeesCount	Number of employees
companyIndustry	Company industry
companySpecialties	Company specialties
companyType	Company type (Public, Private, etc.)
companyFounded	Year founded
companyHeadquarters	HQ location

Programmatic Usage

Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")

run_input = {
    "startUrls": [
        {"url": "https://www.linkedin.com/jobs/search/?keywords=software%20engineer&location=United%20States"}
    ],
    "maxItems": 500,
    "scrapeCompany": True,
    "scrapeJobDetails": True,
}

run = client.actor("YOUR_USERNAME/linkedin-jobs-scraper").call(run_input=run_input)

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"{item['title']} at {item['companyName']} - {item['location']}")

Node.js

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });

const run = await client.actor('YOUR_USERNAME/linkedin-jobs-scraper').call({
    startUrls: [
        { url: 'https://www.linkedin.com/jobs/search/?keywords=data+scientist&location=United+States' }
    ],
    maxItems: 500,
    scrapeCompany: true,
    scrapeJobDetails: true,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => console.log(`${item.title} at ${item.companyName}`));

Integrations

You can use Make or Zapier to integrate this scraper with any other SaaS platform by designing your own automation flows.

The actor stores results in a dataset. You can export data in various formats such as CSV, JSON, XLS, etc. You can scrape and access data on demand using the API.

Support

If you've got any technical feedback or found a bug, please create an issue on the actor's Issues tab in Apify Console.