LinkedIn Jobs Scraper

Scrape LinkedIn job listings with powerful filtering options. Extract job titles, companies, locations, descriptions, seniority levels, employment types, and more — all without requiring a LinkedIn account.

Features

• 🔍 Advanced Search Filters: Filter by location radius, date posted, experience level, and work type
• 📊 Comprehensive Data: Extract full job details including description, seniority, employment type, industries
• 🚀 Fast & Efficient: Optimized scraping with smart pagination handling
• 🔒 No Login Required: Uses LinkedIn's public job listings
• 📁 Multiple Export Formats: JSON, CSV, Excel via Apify datasets
• ⚡ Proxy Support: Built-in proxy rotation for reliable scraping

How to Use

Input Parameters

Parameter	Type	Required	Default	Description
searchQueries	Array	✅ Yes	-	List of search queries with title and location
distance	String	No	"40"	Search radius: "0", "8", "16", "40", "80", "160" km
datePosted	String	No	"any"	Time filter: "any", "24hr", "week", "month"
experienceLevel	Array	No	[]	Experience levels: internship, entry, associate, mid-senior, director, executive
workType	Array	No	[]	Work types: remote, hybrid, onsite
maxJobs	Number	No	25	Maximum jobs per search query (1-1000)
scrapeJobDetails	Boolean	No	true	Fetch full job descriptions
proxy	Object	No	No proxy	Proxy configuration (optional)

Example Input

{
    "searchQueries": [
        {
            "title": "Software Engineer",
            "location": "San Francisco, CA"
        },
        {
            "title": "Software Developer",
            "location": "San Francisco, CA"
        },
        {
            "title": "Backend Engineer",
            "location": "San Francisco, CA"
        },
        {
            "title": "Full Stack Developer",
            "location": "New York, NY"
        }
    ],
    "distance": "40",
    "datePosted": "week",
    "experienceLevel": ["entry", "associate", "mid-senior"],
    "workType": ["remote", "hybrid"],
    "maxJobs": 50,
    "scrapeJobDetails": true
}

Output

Each scraped job contains the following fields:

Field	Type	Description
job_title	String	Job title
company	String	Company name
location	String	Job location
job_link	String	Direct link to the job posting
posting_date	String	When the job was posted (MM/DD/YYYY)
description	String	Full job description (if scrapeJobDetails is true)
seniority_level	String	Seniority level (e.g., "Mid-Senior level")
employment_type	String	Employment type (e.g., "Full-time")
job_function	String	Job function/department
industries	String	Industry sectors
search_query	String	The search query that found this job
search_location	String	The location used in the search
scraped_at	String	Timestamp of when the job was scraped

Example Output

{
    "job_title": "Senior Software Engineer",
    "company": "TechCorp Inc.",
    "location": "San Francisco, CA",
    "job_link": "https://www.linkedin.com/jobs/view/1234567890",
    "posting_date": "01/03/2026",
    "description": "We are looking for a Senior Software Engineer to join our team...",
    "seniority_level": "Mid-Senior level",
    "employment_type": "Full-time",
    "job_function": "Engineering, Information Technology",
    "industries": "Software Development, Technology",
    "search_query": "Software Engineer",
    "search_location": "San Francisco, CA",
    "scraped_at": "2026-01-05T10:30:00.000Z"
}

Filter Options

Distance Radius

Value	Description
"0"	Exact location only
"8"	8 km (5 miles)
"16"	16 km (10 miles)
"40"	40 km (25 miles) - Default
"80"	80 km (50 miles)
"160"	160 km (100 miles)

Date Posted

Value	Description
"any"	Any time (no filter)
"24hr"	Past 24 hours
"week"	Past week
"month"	Past month

Experience Level

Value	Description
"internship"	Internship
"entry"	Entry level
"associate"	Associate
"mid-senior"	Mid-Senior level
"director"	Director
"executive"	Executive

Work Type

Value	Description
"remote"	Remote work
"hybrid"	Hybrid (office + remote)
"onsite"	On-site only

Usage Tips

1. Use Multiple Job Titles: Search for the same role using different title variations (e.g., "Software Engineer", "Software Developer", "SWE") to maximize results
2. Start Small: Begin with a lower maxJobs value (25-50) to test your filters
3. Add Delays: Increase requestDelayMs if you experience rate limiting
4. Combine Filters: Use multiple experience levels and work types for broader searches
5. Specific Locations: Use city + state/country format for better location matching

Rate Limiting & Best Practices

• The actor includes built-in delays between requests to avoid rate limiting
• Consider running during off-peak hours for better performance
• Split large searches into multiple smaller runs

Integrations

Export your data to:

• Google Sheets: Via Apify integrations
• Webhooks: Send data to your API endpoints
• Email: Get notified when new jobs are found
• Zapier/Make/n8n: Connect to 1000+ apps

Changelog

• Full filtering support (distance, date, experience, work type)
• Job detail scraping
• Pagination support
• Proxy integration

Support

If you have any issues or feature requests:

• Open an issue on GitHub
• Contact support through Apify
• OR email me: mrali.hassan997@gmail.com