LinkedIn Jobs Scraper 🔎 Extract LinkedIn Job Listings at Scale

Scrape LinkedIn jobs in seconds — no login, no cookies, no API keys. Search any keyword and location and export clean, structured job data: titles, companies, salaries, locations, seniority, full descriptions, and more. Perfect for recruiters, sourcers, job boards, market researchers, and data teams.

Download results as JSON, CSV, Excel, or HTML, or pull them straight into your app, spreadsheet, or database via API.

---

✨ Why use this LinkedIn Jobs Scraper?

• ⚡ Fast & reliable — collect hundreds of job postings per run.
• 🔓 No account required — gathers publicly available job listings; you never share LinkedIn credentials.
• 🎯 Targeted search — scrape by keyword + location, exactly like the LinkedIn jobs search bar.
• 🧾 Rich, structured data — every posting normalized into clean, ready-to-use fields.
• 🌍 Built-in proxy support — rotate IPs automatically for stable large runs.
• 💸 Pay per result — you only pay for jobs you actually scrape.

---

🚀 What you can do with it

• Recruiters & sourcers — monitor competitor hiring, build talent pipelines, track open roles by company or region.
• Job boards & aggregators — feed fresh listings into your platform.
• Market & salary research — analyze demand, salary ranges, and hiring trends.
• Data & analytics teams — power dashboards, models, and lead lists.

---

⚙️ Input

Field	Required	Description
Keywords (keywords)	*	Job title or keywords, e.g. software engineer, product manager, nurse.
Location (location)	*	City, region, or country, e.g. San Francisco, CA, London, Remote.
Maximum items (maxItems)	—	How many job listings to collect (default 10).
Proxy configuration (proxyConfiguration)	—	Proxy settings. Residential proxies recommended for best results.

* Provide at least one of keywords or location — use either on its own, or both together to narrow the search.

Example input

{
    "keywords": "software engineer",
    "location": "San Francisco, CA",
    "maxItems": 100,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": ["RESIDENTIAL"]
    }
}

---

📦 Output

Each job is saved as a clean, flat record. Empty fields are omitted automatically.

Field	Description
title	Job title
company	Hiring company name
companyUrl	Company LinkedIn page
companyLogo	Company logo image URL
location	Job location
postedAt	Date the job was posted
validThrough	Application deadline (if listed)
employmentType	Full-time, part-time, contract, etc.
seniorityLevel	Seniority / experience level
jobFunction	Job function / department
industry	Industry
salary	Salary as shown on the listing
salaryCurrency, salaryMinValue, salaryMaxValue	Structured salary range (if available)
description	Full job description text
descriptionBullets	Description as a list of bullet points
addressLocality, addressRegion, addressCountry	Structured location
latitude, longitude	Geo-coordinates
jobId	Unique job identifier
jobUrl / sourceUrl	Direct link to the job posting

Example output

[
    {
        "title": "Fullstack Software Engineer, Payments",
        "company": "Patreon",
        "companyUrl": "https://www.linkedin.com/company/patreon",
        "companyLogo": "https://media.licdn.com/dms/image/...",
        "location": "San Francisco, CA",
        "postedAt": "2024-11-14",
        "employmentType": "FULL_TIME",
        "seniorityLevel": "Mid-Senior level",
        "jobFunction": "Engineering and Information Technology",
        "industry": "Technology, Information and Internet",
        "salary": "$150,000/yr - $200,000/yr",
        "salaryCurrency": "USD",
        "salaryMinValue": 150000,
        "salaryMaxValue": 200000,
        "addressLocality": "San Francisco",
        "addressRegion": "CA",
        "addressCountry": "US",
        "description": "You'll help scale and expand Patreon's payment platform...",
        "descriptionBullets": [
            "Collaborate with product managers, designers, and engineers.",
            "Build new functionality with React, JavaScript, and TypeScript.",
            "Work with Python, Java, and MySQL on the backend."
        ],
        "jobId": "a2a4d103e4dd42439c0a52f3d3abd273",
        "jobUrl": "https://www.linkedin.com/jobs/view/..."
    }
]

---

❓ FAQ

Do I need a LinkedIn account or password? No. The scraper only collects publicly available job listings — you never provide LinkedIn credentials.

How many jobs can I scrape? Set any number with maxItems. For large runs, keep residential proxies enabled for the most stable results.

In what formats can I export the data? JSON, CSV, Excel, and HTML — or access it programmatically via API.

Can I run it on a schedule? Yes. Schedule it to run hourly, daily, or weekly to keep job data fresh, and connect it to webhooks or other tools to automate your workflow.

How am I billed? Pay per result — you're charged only for each job listing successfully scraped.

---

Other Related Actors

• Linkedin company scraper
• Linkedin post scraper
• Instagram profile scraper

---

🛟 Support

Have a question, found an issue, or want a new feature? Open an issue on the Actor's page and we'll be happy to help.

Visit apify.com/logical_scrapers or our website logicalscrapers.com to see other actors.

Contact us

Email: coredev.dan@gmail.com

---

⚖️ Responsible use

Use this scraper to collect publicly available job data in line with LinkedIn's terms and applicable laws and regulations (including data-protection rules). You are responsible for how you use the data you collect.