💼 LinkedIn Jobs Scraper

🚀 Collect job listings from LinkedIn in minutes. Search by keyword, location, job type, experience level, and salary. Export titles, companies, parsed salary ranges, extracted skills, and full descriptions. No coding, no LinkedIn login.

The LinkedIn Jobs Scraper collects job listing data from LinkedIn, returning 30+ fields per job: title, company, location, parsed salary (min/max with currency), extracted skills, experience level, workplace type, applicant count, posting date, full description, and Easy Apply flag. Runs support up to 1,000,000 listings on a paid plan.

The Actor supports keyword search with 10+ filters: location, date posted, job type (full-time, part-time, contract, internship), experience level, workplace type (remote, hybrid, on-site), salary minimum, Easy Apply toggle, and sort order. Optional detail-page fetching adds full descriptions, parsed skills, and company info.

🎯 Target Audience	💡 Primary Use Cases
Recruiters, HR teams, job aggregators, workforce analysts, salary benchmarking firms, competitive intelligence teams	Job market research, salary benchmarking, recruitment intelligence, skill-demand tracking, competitor hiring analysis

📋 What the LinkedIn Jobs Scraper does

Keyword search with 10+ filters:

• 🔍 Keyword search. Job title, skills, or company name.
• 📍 Location filter. City, state, country, or "Remote".
• 📅 Date posted filter. Past 24 hours, week, or month.
• 🏷️ Job type filter. Full-time, part-time, contract, temporary, internship, volunteer.
• 📊 Experience level filter. Entry, associate, mid-senior, director, executive.
• 🏠 Workplace type filter. On-site, remote, hybrid.
• 💰 Salary filter. Minimum salary threshold in USD.
• ✅ Easy Apply toggle. Return only LinkedIn Easy Apply jobs.
• 📝 Detail fetching. Optional full descriptions with parsed skills and company data.

Each job record includes title, company, location, parsed salary range (min, max, currency, period), extracted skills array, experience level, workplace type, applicant count, posting date, job URL, Easy Apply flag, and (when details enabled) full description and company details.

💡 Why it matters: manually browsing LinkedIn for job market intelligence means scrolling through pages and copying data by hand. This Actor exports structured job data at scale, with parsed salary ranges and extracted skills ready for your dashboards, salary benchmarks, or ATS integrations.

📊 Data fields

Each record includes: applicants, applicantsRaw, benefits, company, companyLinkedInUrl, companyLogo, companySlug, description, descriptionLength, descriptionText, employmentType, experienceLevel, id, industries, jobFunction, link, location, postedDate, postedDateRaw, salary, salaryCurrency, salaryIsEstimate, salaryMax, salaryMin, salaryPeriod, salaryRaw, scrapedAt, searchQuery, skills, title, workType. All 31 field names come from a real production run, so what you see here is what lands in your dataset.

⚠️ Good to Know: residential proxies are recommended for large runs. LinkedIn rate-limits datacenter IPs aggressively. The proxy configuration is pre-filled with recommended settings. Enabling scrapeJobDetails is slower (1-2s per job) but returns much richer data.

🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the LinkedIn Jobs Scraper page on the Apify Store.
3. 🎯 Set input. Enter a search query and location. Set job type, experience level, and maxItems.
4. 🚀 Run it. Click Start and let the Actor collect your data.
5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.

🔗 Recommended Actors

• 🔍 SEEK Job Scraper - Job listings from Australia's largest job board
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• 📊 Glassdoor Jobs Scraper - Jobs with salary and company data
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• 💼 PitchBook Investors Scraper - Investor profiles with AUM and contact data

💡 Pro Tip: browse the complete ParseForge collection for more job and recruitment scrapers.

⚠️ Disclaimer: this Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by LinkedIn Corporation or Microsoft. All trademarks mentioned are the property of their respective owners. Only publicly available job listing data is collected.

🆘 Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.

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