Pricing

Rating

Developer

Actor stats

Categories

Share

👁 ParseForge Banner

💼 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.

🕒 Last updated: 2026-04-16 · 📊 30+ fields per job · 💰 Parsed salary ranges · 🛠️ Skill extraction · 🚫 No login required

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.

📋 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.

🎬 Full Demo

🚧 Coming soon: a 3-minute walkthrough showing how to go from sign-up to a downloaded dataset.

⚙️ Input

Example: remote software engineer jobs posted this week, $100K+.

{
"searchQuery":"software engineer",
"location":"Remote",
"datePosted":"past-week",
"workplaceType":["remote"],
"salary":"100000",
"scrapeJobDetails":true,
"extractSkills":true,
"maxItems":50
}

Example: entry-level data analyst jobs in New York.

{
"searchQuery":"data analyst",
"location":"New York, NY",
"experienceLevel":["entry"],
"maxItems":100
}

⚠️ 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.

📊 Output

Each job record contains 30+ fields (with details enabled). Download the dataset as CSV, Excel, JSON, or XML.

🧾 Schema

📦 Sample records

✨ Why choose this Actor

📊 LinkedIn lists millions of active job openings worldwide. Structured access to this data, with parsed salary ranges and extracted skills, powers every recruitment, benchmarking, and workforce-intelligence workflow.

📈 How it compares to alternatives

Pick this Actor when you want LinkedIn job data with parsed salaries and extracted skills, without a Recruiter license.

🚀 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.

💼 Business use cases

🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

🤖 Ask an AI assistant about this scraper

Open a ready-to-send prompt about this ParseForge actor in the AI of your choice:

• 💬 ChatGPT
• 🧠 Claude
• 🔍 Perplexity
• 🅒 Copilot

❓ Frequently Asked Questions

🔌 Automating LinkedIn Jobs Scraper

Control the scraper programmatically for scheduled runs and pipeline integrations:

• 🟢 Node.js. Install the apify-client NPM package.
• 🐍 Python. Use the apify-client PyPI package.
• 📚 See the Apify API documentation for full details.

The Apify Schedules feature lets you trigger this Actor on any cron interval. Daily pulls keep your recruitment intelligence fresh.

🔌 Integrate with any app

LinkedIn Jobs Scraper connects to any cloud service via Apify integrations:

• Make - Automate multi-step workflows
• Zapier - Connect with 5,000+ apps
• Slack - Get alerts on new matching jobs
• Airbyte - Pipe job data into your warehouse
• GitHub - Trigger runs from commits and releases
• Google Drive - Export datasets straight to Sheets

🔗 Recommended Actors

• 🔍 SEEK Job Scraper - Job listings from Australia's largest job board
• 🔐 ClearedJobs Scraper - Security-cleared job listings
• 📊 Glassdoor Jobs Scraper - Jobs with salary and company data
• 📸 Instagram Posts Scraper - Posts and engagement from public profiles
• 💼 PitchBook Investors Scraper - Investor profiles with AUM and contact data

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

🆘 Need Help? Open our contact form to request a new scraper, propose a custom data project, or report an issue.

⚠️ 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.