LinkedIn Jobs Scraper

Scrape job listings from LinkedIn without login. Search by keywords, location, job type, experience level, and more. Extract job details, company information, and direct application links.

Built by Artificially | Follow us on X @artificially_io

Features

• No login required - Uses LinkedIn's public guest API
• Powerful filters - Job type, experience level, date posted, remote/on-site
• Multiple queries - Search for multiple job titles in one run
• Reliable extraction - Robust parsing with fallback selectors
• Duplicate detection - Automatically removes duplicate listings
• Rate limit handling - Built-in retries and respectful delays
• Proxy support - Works with Apify Proxy for reliable results

Input

Field	Type	Description	Default
searchQueries	array	Job search keywords	Required
location	string	Location to search in	-
maxJobs	integer	Max jobs per query (1-1000)	100
jobType	array	full-time, part-time, contract, etc.	All
experienceLevel	array	entry, mid-senior, director, etc.	All
datePosted	string	any, past-24h, past-week, past-month	any
remoteFilter	string	any, remote, on-site, hybrid	any
proxyConfiguration	object	Proxy settings	Apify Proxy

Example Input

{
    "searchQueries": ["software engineer", "data scientist"],
    "location": "San Francisco, CA",
    "maxJobs": 100,
    "jobType": ["full-time"],
    "experienceLevel": ["entry", "associate"],
    "datePosted": "past-week",
    "remoteFilter": "remote",
    "proxyConfiguration": {
        "useApifyProxy": true
    }
}

Output

Each job listing contains:

Field	Type	Description
jobId	string	LinkedIn job ID
title	string	Job title
company	string	Company name
companyUrl	string	LinkedIn company page URL
companyLogoUrl	string	Company logo image URL
location	string	Job location
listingDate	string	When job was posted (e.g., "2 days ago")
listingDateParsed	string	ISO date when available
jobUrl	string	Direct link to job posting
searchQuery	string	The search query that found this job
scrapedAt	string	When the data was scraped

Example Output

{
    "jobId": "3812345678",
    "title": "Senior Software Engineer",
    "company": "Tech Company Inc",
    "companyUrl": "https://www.linkedin.com/company/tech-company",
    "companyLogoUrl": "https://media.licdn.com/dms/image/...",
    "location": "San Francisco, CA (Remote)",
    "listingDate": "1 week ago",
    "listingDateParsed": "2024-01-08T00:00:00.000Z",
    "jobUrl": "https://www.linkedin.com/jobs/view/3812345678",
    "searchQuery": "software engineer",
    "scrapedAt": "2024-01-15T10:30:00.000Z"
}

Usage

Via Apify Console

1. Go to the LinkedIn Jobs Scraper page
2. Enter search keywords and location
3. Configure filters as needed
4. Click "Start"
5. Download results in JSON, CSV, or Excel

Via API

curl -X POST "https://api.apify.com/v2/acts/artificially~linkedin-jobs-scraper/runs" \
    -H "Authorization: Bearer <your_api_token>" \
    -H "Content-Type: application/json" \
    -d '{
        "searchQueries": ["software engineer"],
        "location": "New York",
        "maxJobs": 50,
        "jobType": ["full-time"],
        "datePosted": "past-week"
    }'

Via JavaScript SDK

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<your_api_token>' });

const input = {
    searchQueries: ['software engineer', 'data scientist'],
    location: 'San Francisco, CA',
    maxJobs: 100,
    jobType: ['full-time'],
    remoteFilter: 'remote',
};

const run = await client.actor('artificially/linkedin-jobs-scraper').call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();

items.forEach(job => {
    console.log(`${job.title} at ${job.company} - ${job.location}`);
});

Via Python SDK

from apify_client import ApifyClient

client = ApifyClient("<your_api_token>")

run_input = {
    "searchQueries": ["software engineer", "data scientist"],
    "location": "San Francisco, CA",
    "maxJobs": 100,
    "jobType": ["full-time"],
}

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

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

Use Cases

• Job Market Research - Analyze hiring trends and in-demand skills
• Salary Benchmarking - Compare compensation across companies
• Recruitment Intelligence - Track competitor hiring patterns
• Career Monitoring - Get alerts for new job postings
• Skills Analysis - Identify most requested qualifications
• Geographic Analysis - Compare job markets across locations

Tips for Best Results

1. Enable Proxy - LinkedIn may block requests without proxy
2. Use Specific Keywords - More specific queries yield better results
3. Try Location Variations - "San Francisco" vs "San Francisco, CA" vs "Bay Area"
4. Combine Filters - Use multiple filters to narrow results
5. Start Small - Test with 50 jobs before scaling up

Pricing

Resource	Cost
Platform usage	~$1.79 per 1,000 jobs
Actor fee	$2.00 per 1,000 jobs
Total	~$3.79 per 1,000 jobs

Limitations

• LinkedIn limits guest API results to ~1000 jobs per search
• Some company logos may not be available
• Rate limiting is applied to respect LinkedIn's servers

Changelog

v1.0.0

• Initial production release
• Robust job parsing with multiple fallback selectors
• Automatic retry on rate limiting
• Duplicate detection
• All major filters supported

Legal Notice

This actor scrapes publicly available job listings from LinkedIn's guest API. No login or authentication is required or used. Please respect LinkedIn's Terms of Service and use responsibly for legitimate business purposes.

Support

• X/Twitter: @artificially_io
• Apify Profile: artificially
• Issues: Use the Issues tab on this actor's Apify page