⚡️ Linkedin Jobs Scraper
by future_creator
This LinkedIn Jobs scraper efficiently gathers detailed information about job vacancies on LinkedIn based on your specified criteria. Easily configure...
Opens on Apify.com
About ⚡️ Linkedin Jobs Scraper
This LinkedIn Jobs scraper efficiently gathers detailed information about job vacancies on LinkedIn based on your specified criteria. Easily configure filters to match LinkedIn's search capabilities, ensuring precise and comprehensive selection of relevant job listings.
What does this actor do?
⚡️ Linkedin Jobs Scraper is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.
Key Features
- Cloud-based execution - no local setup required
- Scalable infrastructure for large-scale operations
- API access for integration with your applications
- Built-in proxy rotation and anti-blocking measures
- Scheduled runs and webhooks for automation
How to Use
- Click "Try This Actor" to open it on Apify
- Create a free Apify account if you don't have one
- Configure the input parameters as needed
- Run the actor and download your results
Documentation
What does Linkedin Jobs Scraper do? Linkedin Jobs Scraper allows you to extract job data from Linkedin's job listings: job title, job link, description, company name, employment type, apply link, salary, and more. This tool is essential for automated job search, saving you time and effort.
## What job vacancies data can I extract? Using Linkedin Jobs Scraper, you can extract comprehensive job data: | 🔎 Job title | 📌 Job link | 🚀 Seniority level | |--------------------------------|------------------------------|------------------------| | 📃 Description | 💼 Company name | ⏳ Employment type | | ⏰ Posted time/Published at | 📌 Company LinkedIn link | 🎯 Job function | | 🌟 Benefits | 📬 Applicants count | 🧑💻 Industries | | 📌 Apply link | 💰 Salary | 📍 Job location | ## Why You Should Use Our Linkedin Jobs Scraper? ### Automation and Time-Saving - No more manual searching: Forget hours spent searching for job listings. Our parser automatically gathers all the necessary information for you. * Speed: Receive data instantly without manually sifting through hundreds of pages. ### Accuracy and Flexible Settings - Custom filters: Set up the parser as flexibly and easily as you would on LinkedIn. Get only relevant job listings. * Minimize errors: Eliminate human errors and reduce the likelihood of missing suitable job postings. ### Comprehensive and Detailed Information - Complete data: Our parser collects not only basic job information but also details such as posting time, description, links, and much more. * Analytics and reports: Easily analyze data and obtain reports to help you make informed decisions. ### Additional Benefits - Job comparison: Easily compare job postings from different companies and industries in one place. * Efficiency: Focus on applying and interviewing rather than searching. Our LinkedIn job posting parser will save you time and help you find the perfect job faster. Try it today and experience all the benefits yourself! ## How do I use Linkedin Jobs Scraper? Using our Linkedin Jobs Scraper is very similar to using filter settings to search for jobs on Linkedin. You can select the following parameters for job searches: - Job Title - Job Location - Company Name - Total number of records - Sort by: [Most recent, Most relevant] - Date posted: [Any time, Past month, Past week, Past 24 hours] - Experience level: [Internship, Entry level, Associate, Mid-Senior level, Director, Executive] - Job type: [Full-time, Part-time, Contract, Temporary, Internship] - Remote/On-site: [On-Site, Remote, Hybrid] - Industry
## Sample output data After running the scraper, you can get the following dataset:
You can get the output data in the following formats: JSON, CSV, EXCEL, XML, HTML Table, RSS, JSONL. Here is the sample output in JSON format: json { "job_id": "3970971800", "job_link": "https://pl.linkedin.com/jobs/view/full-stack-developer-react-python-at-algoteque-innovation-hub-3970971800?trk=public_jobs_topcard-title", "job_title": "Full-stack Developer (React/Python)", "company_name": "ALGOTEQUE Innovation Hub", "company_linkedin_url": "https://pl.linkedin.com/company/algoteque", "job_location": "Warsaw, Mazowieckie, Poland", "job_published_at": "2024-07-09", "job_posted_time": "6 days ago", "job_salary_info": "", "applicants_count": "Be among the first 25 applicants", "benefits": "Actively Hiring", "description_text": "\n ALGOTEQUE is an IT consultancy firm that helps startups, mid-sized and large corporations to create and deliver innovative technologies. Our team has a successful track record in designing, developing, implementing, and integrating software solutions (AI, ML, BI, Web, Automation) for Telecom, Energy, Bank, Insurance, Pharma, Automotive, Industry, e-commerce. We deliver our services both in fixed-price and time-and-materials models, helping our customers achieve their business and IT strategies.\n\nJob Description\n\nWe are seeking a skilled and enthusiastic Full-stack Developer with expertise in React and Python to join our dynamic international team. If you thrive in a collaborative environment and are excited about tackling challenging problems, we want to hear from you!\n\nResponsibilities\n\n\n Develop and maintain web applications using React for front-end and Python for back-end\n Implement responsive and user-friendly interfaces\n Ensure the performance, quality, and responsiveness of applications\n Write clean, maintainable, and well-documented code\n Participate in code reviews and provide constructive feedback to peers\n Troubleshoot and debug issues across the stack\n Stay up-to-date with emerging technologies and industry trends\n\nProfile / Requirements\n\n\n Bachelor's degree in Computer Science, Engineering, or related field\n Proficiency in front-end technologies: React, JavaScript, HTML, CSS\n Strong experience with Python and related frameworks (e.g., Django, Flask)\n Familiarity with databases and version control systems\n Strong problem-solving skills and attention to detail\n Excellent communication and teamwork abilities\n Good English skills suited for an international working environment\n Valid PL/EU work permit\n\nNice To Have\n\n\n Experience with Node.js\n\nBenefits\n\n\n Long-term project and cooperation\n International work environment\n Great company atmosphere and culture\n Growth & work life balance oriented processes\n Medical card, prepaid bonus card\n Flexible working hours\n Remote work\n\nAO2932\n ", "apply_link": "https://www.linkedin.com/jobs/view/externalApply/3970971800?url=https%3A%2F%2Fwww%2Ejobposting%2Epro%2Femploi-1833452-123%23postuler&urlHash=BcMg", "job_seniority_level": "Mid-Senior level", "job_employment_type": "Other", "job_function": "Information Technology", "job_industries": "Information Technology & Services" } ## Which Other Actors Can I Use: I have implemented Actors for various use cases, and you can use the following: ⚡️ LinkedIn Company URL Bulk Profile Finder - This LinkedIn Company URL scraper efficiently gathers information about profile companies on LinkedIn. I can promptly verify if a company (or a list of companies) has a profile on LinkedIn. See for yourself! 🚀 I am constantly improving existing Actors and creating new ones. You can see all the Actors I have made here ### I am always happy to receive your feedback and discuss any questions, such as: - ✅ Suggestions for Actor improvement - ✅ Issues with the Actor - ✅ Ideas for implementing new Actors - ✅ Any other concerns you might have Feel free to reach out to me! I will be glad to feedback on any of these questions, you can create Issue, or contact me in my profile. Enjoy using it!
Categories
Common Use Cases
Market Research
Gather competitive intelligence and market data
Lead Generation
Extract contact information for sales outreach
Price Monitoring
Track competitor pricing and product changes
Content Aggregation
Collect and organize content from multiple sources
Ready to Get Started?
Try ⚡️ Linkedin Jobs Scraper now on Apify. Free tier available with no credit card required.
Start Free TrialActor Information
- Developer
- future_creator
- Pricing
- Paid
- Total Runs
- 3,216
- Active Users
- 393
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