LinkedIn Job Scraper

Extract thousands of job postings from LinkedIn with advanced search filters — location, time range, job type, experience level, and remote work type — to power job market research, recruitment analytics, and automated job alerts, for just $1 per 1,000 jobs.

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What can LinkedIn Job Scraper do for you?

• Build targeted job databases — Search by keyword, location, and filters to compile comprehensive lists of matching job postings for analysis or lead generation.
• Monitor hiring trends — Track which companies are hiring, what roles are in demand, and how job markets shift over time.
• Power recruitment tools — Feed structured LinkedIn job data into your ATS, CRM, or custom dashboards to streamline candidate sourcing.
• Analyze competitors — See what roles your competitors are hiring for — a signal of growth areas, tech stacks, and strategic direction.
• Automate job alerts — Schedule regular scrapes and export fresh listings to spreadsheets or databases without manual searching.
• Enrich with company data — Optionally scrape each company's LinkedIn page for full details like description, follower count, and specialties.

What data can you extract?

Field	Description
🔖 jobId	Unique LinkedIn job posting ID
📝 title	Job title
🏢 companyName	Company name
🌐 companyUrl	LinkedIn company page URL
🖼️ companyLogo	Company logo image URL
📍 location	Full location string (city, state, country)
🏙️ city	City
🌍 country	Country code (e.g. DE, US)
📅 datePosted	Posting date (ISO 8601)
⏳ validThrough	Application deadline
💼 employmentType	FULL_TIME, PART_TIME, CONTRACTOR, etc.
🏭 industry	Industry classification
⏱️ monthsOfExperience	Experience required (months)
🎓 educationLevel	Education requirement
🛠️ skills	Required skills
📄 description	Full job description
🔗 url	Direct link to the job posting
📌 latitude / longitude	GPS coordinates

Why use this scraper?

• 📊 Job market research — Analyze salary trends, in-demand skills, and hiring volume across industries and regions.
• 🔍 Competitive intelligence — Track competitors' hiring patterns to understand their growth and technology investments.
• 🧑‍💼 Recruitment & staffing — Build candidate-ready job pipelines with structured data you can filter, sort, and export.
• 🤖 Automation & integration — Connect scraped data to Google Sheets, Airtable, Slack, or any tool via the Apify API.

Pricing

• $1/1,000 jobs
• No hidden fees or limits on usage.

Apify platform plans include free monthly compute units — check your plan for details.

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How to use LinkedIn Job Scraper

1. Create a free Apify account at apify.com/sign-up
2. Open the LinkedIn Job Scraper at apify.com/rigelbytes/linkedin-job-scraper
3. Enter your search queries — add keywords like "Python Developer" or "Data Scientist"
4. Add filters — location, time range, job type, experience level, and remote/hybrid/on-site
5. Click Start and let the scraper collect matching jobs
6. Download your data in JSON, CSV, Excel, or access it via API

Input

Field	Type	Required	Description
searchQueries	array	No	Keywords or job titles to search for (e.g. "Python Developer")
startUrls	array	No	Direct LinkedIn job search URLs. Overrides searchQueries
locations	array	No	Location filters (e.g. "Germany", "London")
timeRange	string	No	Posting date filter: any, past24Hours, pastWeek, pastMonth
jobType	array	No	Employment type: fullTime, partTime, contract, temporary, internship, volunteer
experienceLevel	array	No	Experience: internship, entryLevel, associate, midSenior, director, executive
remote	array	No	Work arrangement: onSite, remote, hybrid
maxItems	integer	No	Max jobs to scrape (0 = unlimited). Default: 0
extractCompanyDetails	boolean	No	Also scrape each company's LinkedIn page for full details. Default: false
proxyConfiguration	object	No	Proxy settings for anti-bot protection

📝 Copy for Use:

{
  "searchQueries": ["Python Developer"],
  "locations": ["Germany"],
  "timeRange": "any",
  "jobType": [],
  "experienceLevel": [],
  "remote": [],
  "maxItems": 30,
  "extractCompanyDetails": false,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

Output

https://github.com/faizanalii/apify-images/blob/main/LinkedIn%20Job%20Scraper.gif?raw=true

Why Choose This Scraper?

• Affordable: Pay only $1 per 1,000 jobs scraped.
• Comprehensive: Extracts job details, company info, location, skills, and coordinates — 19 fields per listing.
• Easy to Use: No coding needed — enter keywords and filters in the Apify Console, click Start, and download results.
• Reliable: Built on Apify's infrastructure with automatic proxy rotation and retry logic to handle LinkedIn's anti-bot measures.

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🙌 Why Buy Through Our Affiliate Link?

• Exclusive Deals: Some providers may offer special discounts or bonuses when you use our link.
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• No Extra Cost: You pay the same price, but part of it goes to supporting our efforts.

Running via Apify Console

You can run this actor from the Apify Console by providing the necessary input parameters.

Running via API

You can trigger this actor using the Apify API, passing the required input in the request body.

# Python
from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run = client.actor("rigelbytes/linkedin-job-scraper").call(run_input={
    "searchQueries": ["Python Developer"],
    "locations": ["Germany"],
    "timeRange": "any",
    "maxItems": 30,
    "extractCompanyDetails": False,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"]
    }
})

results = client.dataset(run["defaultDatasetId"]).list_items().items

# JavaScript
import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: "YOUR_APIFY_TOKEN" });

const run = await client.actor("rigelbytes/linkedin-job-scraper").call({
    searchQueries: ["Python Developer"],
    locations: ["Germany"],
    timeRange: "any",
    maxItems: 30,
    extractCompanyDetails: false,
    proxyConfiguration: {
        useApifyProxy: true,
        apifyProxyGroups: ["RESIDENTIAL"]
    }
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();

# cURL
curl -X POST "https://api.apify.com/v2/acts/rigelbytes/linkedin-job-scraper/runs" \
  -H "Authorization: Bearer YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "searchQueries": ["Python Developer"],
    "locations": ["Germany"],
    "timeRange": "any",
    "maxItems": 30,
    "proxyConfiguration": {
      "useApifyProxy": true,
      "apifyProxyGroups": ["RESIDENTIAL"]
    }
  }'

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Understanding Proxies:

When scraping data or browsing anonymously, proxies are essential. They act as intermediaries, masking your original IP address and allowing you to send requests from another location.

Why Use Proxies?

• Avoid IP Blocks: By routing requests through proxies, you prevent the target website from recognizing your IP as a scraper or spammer.
• Access Geo-restricted Content: Proxies let you access content or websites restricted by location.
• Enhance Anonymity: Hide your actual IP, ensuring privacy while scraping or browsing.

Types of Proxies

1. Residential Proxies
   • Real IP addresses provided by ISPs to home users.
   • They mimic regular users, making them harder to detect.
   • Best for: Long-term, undetectable scraping, and avoiding blocks.
2. Data Center Proxies
   • IP addresses from servers in data centers.
   • Faster and cheaper than residential proxies but easier to detect and block.
   • Best for: High-speed scraping, but with a higher risk of detection.
3. Mobile Proxies
   • IPs provided by mobile carriers (3G/4G/5G networks).
   • Very difficult to detect, as they appear as regular mobile users.
   • Best for: Mobile-related scraping or avoiding sophisticated blocks.

Rotating Proxies vs. Straight Proxies

• Rotating Proxies: Every request you send goes through a different proxy, making it harder for websites to detect patterns.
• Straight Proxies: All requests are sent through the same proxy, making it easier to track your IP.

About Rigel Bytes

Rigel Bytes specializes in web scraping, automation, and data analytics. We help businesses extract and leverage valuable data for informed decision-making.

Contact Us

Ready to unlock the power of data? Reach out to us at (contact@rigelbytes.com) or book an appointment with us to learn more about how we can help you achieve your data goals.

Detailed Data

[
  {
    "title": "Python Developer",
    "description": "Job Description DATAGROUP Polska... Design and implement robust, scalable, and efficient JAVA-based frontend as well as Python components for the ETL process.",
    "datePosted": "2026-05-08T13:38:46.000Z",
    "validThrough": "2026-11-04T13:38:46.000Z",
    "employmentType": "FULL_TIME",
    "companyName": "DATAGROUP",
    "companyUrl": "https://de.linkedin.com/company/datagroup-se",
    "companyLogo": "https://media.licdn.com/dms/image/v2/C4D0BAQFCZT1emBoUsw/company-logo_200_200/company-logo_200_200/0/1630477221838/datagroup_ag_logo?e=2147483647&v=beta&t=kHRk6yObQhtWun4zVyZKfRI6iNwfH5xZ2aTfFnDTOjQ",
    "country": "DE",
    "city": "Krakau",
    "latitude": 51.36391,
    "longitude": 11.857489,
    "industry": "IT-Dienstleistungen und IT-Beratung",
    "skills": "",
    "monthsOfExperience": "",
    "educationLevel": "bachelor degree",
    "jobId": "4412111373",
    "url": "https://de.linkedin.com/jobs/view/python-developer-at-datagroup-4412111373",
    "location": "Krakau, Saxony-Anhalt, Germany"
  },
  {
    "title": "Python Developer",
    "description": "you'll be working on things like: - Data ingestion and metadata pipelines for whole slide images - De-identification and integrity checking of WSI files...",
    "datePosted": "2026-06-18T10:46:54.000Z",
    "validThrough": "2026-07-18T10:46:54.000Z",
    "employmentType": "CONTRACTOR",
    "companyName": "Virtusa",
    "companyUrl": "https://www.linkedin.com/company/virtusa",
    "companyLogo": "https://media.licdn.com/dms/image/v2/D4D0BAQE1wyZ0gd_P_w/company-logo_200_200/B4DZmf03PuJMAQ-/0/1759323061531/virtusa_logo?e=2147483647&v=beta&t=QwNAnSOpzbZLVsw5_6QEvj37WFpjTZNvVBqZubYUud0",
    "country": "DE",
    "city": "München",
    "latitude": 48.139126,
    "longitude": 11.580219,
    "industry": "Softwareentwicklung,Betrieb und Wartung von IT-Systemen",
    "skills": "",
    "monthsOfExperience": "",
    "educationLevel": "bachelor degree",
    "jobId": "4430444024",
    "url": "https://de.linkedin.com/jobs/view/python-developer-at-virtusa-4430444024",
    "location": "Munich, Bavaria, Germany"
  }
]