LinkedIn Job Scraper (Login Required)

📌 What data can you collect from LinkedIn Jobs search results?

This template collects search-result records with Title, Title URL, Input URL, Current Page URL, Company URL, Count of employee onLinkedIn, Date, and Keyword. It is useful for recruiters, talent teams, job-market researchers, and workforce analysts.

Data is collected from LinkedIn Jobs. LinkedIn Jobs is a professional job marketplace connecting employers with candidates.

💰 Pricing

This template is currently free of charge and has no per-line usage fee. Octoparse plan or resource limits may still apply.

🚀 How to Use

1. Log in to your LinkedIn account using a regular browser on your computer, such as Chrome.

2. Open the LinkedIn Job Scraper in Octoparse.

3. Enter the LinkedIn Job Search URLs.

4. Enable Local Browser Mode and run the task locally.

📦 Output

LinkedIn Job Scraper returns these fields:

• Input_URL
• Keyword
• Result_count_for_reference_only
• Location
• Current_Page
• Current_Page_URL
• Title
• Title_URL
• Image
• Company
• Date
• About_the_job
• Posted_time
• Salary
• People_applied
• Job_preference_1
• Job_preference_2
• Job_preference_3
• Job_preference_4
• Company_URL
• Company_follower
• Company_size
• Count_of_employee_onLinkedIn
• Company_Intro

{
  "Input_URL": null,
  "Keyword": null,
  "Result_count_for_reference_only": null,
  "Location": "San Jose, CA",
  "Current_Page": "1",
  "Current_Page_URL": null,
  "Title": "Senior ASIC Verification Engineer",
  "Title_URL": "https://www.linkedin.com/jobs/view/4045970194/?eBP=CwEAAAGTH3jLd8fIEe5gosA_M8o7JBCts-KE3vyvfMxqGLl02SJ4RJ6Br0SzvuBDGNLDC7MyEGrkocbIn0q2SmaSFdLoXGqZpa2PmpUosTDzpsQawWGIpVXPXmkK6nejZ6VZzkVvIp0WQ7unVcqdvhuDF5EK7WG2tWx78KwwgFO6BjpE84qSqo1T10k37RjnN2UV66oo7pch0g9Td4zRfNJezZyJieXf33-O-JsX_kpy4xdUvHbtuGmocIykCVPXTogvQswDh2baUxKkv9vJ-UROwybkTNq0-LeopOAa9-F9Pb007bFbHqcL96Uhrh4IPzwX2RUA0R_usZr_c9zLR9JTk05XkBDSTepxLpo8YYMlawbe3Q4xFncjW71R2qbcvde07ONjeMB0AsIZ4F3oue2llk5-tZNOM6nV6FFJZRhTz1AuUD8fFbffTZHushYtzxrzqLiee8VRECm_9TE3rtEnCZc7lFGiLC4ghyp0-d26SdeYE6Jv2cOoUyNHE5tAMKag&refId=BsTgV9PRIIRj2VR3GSePqg%3D%3D&trackingId=IbHmP0XquTRV4E7PqXG%2Fkg%3D%3D&trk=flagship3_search_srp_jobs",
  "Image": "https://media.licdn.com/dms/image/v2/C560BAQEhUF3yIH_HiA/company-logo_100_100/company-logo_100_100/0/1653053680882/cepton_logo?e=1739404800&v=beta&t=XKCcaUYAzE8uzyTdd_lYiphcuYYnMHms9_n6BcGZIao",
  "Company": "Cepton",
  "Date": null,
  "About_the_job": "Cepton (Nasdaq: CPTN), a leading intelligent lidar solution provider, is seeking a Senior ASIC Verification Engineer for LiDAR ASIC products development. The candidate will work in a dynamic environment with significant growth potential and be responsible and own all aspects of verification of our ASIC products. Duties include working with Design and System Engineers to dive deep into the functionality of the RTL design, developing test plan, implement test bench and environment with models and watchdog following UVM methodology, creating test cases using random and direct stimuli to ensure coverage for sign-off and help debug at both IP and system level design. Here at Cepton, we use technology to make some difficult problems easy and some impossible tasks become feasible. We value one's ability to learn higher than the knowledge one has acquired in the past. We like people who strive to solve a problem in new and creative ways instead of seeking conventional wisdom, we enjoy solving hard problems together. As we are at the cutting edge of technological advancement, join us if you are willing to work with like-minded people to face the challenges posed by the new era of technology together. What You Will Do Provide technical leadership by creating ASIC verification flow with UVM methodology Work with design engineers to create both module level and top level comprehensive verification plan for analog and digital IP blocks, as well as SOC system level Responsible for creating testbench for RTL and gate level simulation with UVM verification methodology Facilitate coverage benchmark and define design sign-off criteria Collaborate with FW engineer to bring up SOC verification environment Assist in FPGA emulation and troubleshooting with simulation testbench Who You Are B.S. or M.S. in Electronic/Electrical Engineering Minimum 3 years of ASIC UVM verification experience Hands-on experience in scripting languages (Perl/Tcl/Python/C) and industrial standard verification tools Proficient in Verilog, System Verilog. Comprehensive knowledge of ASIC design and verification flow In depth knowledge of high-speed digital design, multi-clock domain SOC and verification Coverage driven constraints to verification closure Experience with netlist simulation. Good communication skills and a team player Excellent analytic and problem-solving ability Self-motivated and able to provide technical leadership What We Will Offer Opportunities to work with strong industry leaders and opportunities to relocate to Silicon Valley. Competitive compensation package, including stock. Comprehensive employee benefits program, including medical, dental, vision, life, disability, and more. Paid time off and paid holidays. Bonus program eligibility. 401k, FAS, or HSA. Location: Cepton Headquarters – San Jose, CA. Some local on-site visits to key customers. Travel to regional customer sites and support trade shows and conferences if needed. Cepton is committed to fair and equitable compensation practices. The pay range for this role is $150,000 to $180,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include an annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. Cepton Technologies is an Equal Opportunity Employer We are an Equal Opportunity Employer and do not discriminate against applicants due to race, ethnicity, gender, veteran status, or on the basis of disability or any other federal, state, or local protected class. About Cepton Technologies (www.cepton.com): Cepton (Nasdaq: CPTN) is a Silicon Valley innovator of lidar-based solutions for automotive (ADAS/AV), smart cities, smart spaces, and smart industrial applications. With its patented Micro Motion Technology (MMT®), Cepton aims to take lidar mainstream and achieve its vision of safe and autonomous transportation for everyone. Founded in 2016 and led by industry veterans with decades of collective experience across a wide range of advanced lidar and imaging technologies, Cepton is focused on the mass-market commercialization of high-performance, high-quality lidar solutions. Cepton is headquartered in San Jose, CA, and has a center of excellence facility in Troy, MI to provide local support to the OEM and Tier 1-studded Metro Detroit area. About Cepton, Inc.",
  "Posted_time": null,
  "Salary": "$150K/yr - $180K/yr",
  "People_applied": null,
  "Job_preference_1": "$150K/yr - $180K/yr",
  "Job_preference_2": "On-site",
  "Job_preference_3": null,
  "Job_preference_4": null,
  "Company_URL": "https://www.linkedin.com/company/cepton/life",
  "Company_follower": "20,641 followers",
  "Company_size": "51-200 employees",
  "Count_of_employee_onLinkedIn": "87 on LinkedIn",
  "Company_Intro": "Cepton (Nasdaq: CPTN) provides state-of-the-art, intelligent, lidar-based solutions for a range of markets such as automotive (ADAS/AV), smart cities, smart spaces and smart industrial applications. Cepton’s patented MMT®-based lidar technology enables reliable, scalable and cost-effective solutions that deliver long range, high resolution 3D perception for smart applications.Founded in 2016 and led by industry veterans with over two decades of collective experience across a wide range of advanced lidar and imaging technologies, Cepton is focused on the mass market commercialization of high performance, high quality lidar solutions. Cepton is headquartered in San Jose, California, USA, with a presence in Germany, Canada, Japan and India, to serve a fast-growing global customer base. … show more"
}

🎯 Use Cases

• Build a structured research dataset organized by Keyword, Input URL, and Title.
• Compare or monitor Salary across collected records.
• Analyze source content and timing through Date.
• Measure audience or customer engagement using Company follower.

{
  "linkedIn_Job_Search_URLs_)": [
    "https://www.linkedin.com/jobs/search/?currentJobId=4132068708&distance=100&geoId=106233382&keywords=operations%20manager&origin=JOB_SEARCH_PAGE_KEYWORD_AUTOCOMPLETE&refresh=true",
    "https://www.linkedin.com/jobs/search/?currentJobId=4131807151&geoId=105080838&keywords=operations%20manager&origin=JOB_SEARCH_PAGE_LOCATION_AUTOCOMPLETE&refresh=true",
    "https://www.linkedin.com/jobs/search/?currentJobId=4126532281&geoId=105080838&keywords=ai&origin=JOB_SEARCH_PAGE_SEARCH_BUTTON&refresh=true",
    "https://www.linkedin.com/jobs/search/?currentJobId=4129896275&geoId=90000084&keywords=data%20analyst&origin=JOB_SEARCH_PAGE_KEYWORD_AUTOCOMPLETE&refresh=true"
  ]
}

[]

🐙 Why Octoparse

• Built for LinkedIn Jobs: The automation applies LinkedIn Account, LinkedIn Password, and LinkedIn Job Search URLs (when you are logged in) (up to 1,000)), processes the resulting search pages and their result items, and writes structured rows including Input URL, Keyword, Result count for reference only, and Location.
• Inputs match the workflow: The form uses LinkedIn Account, LinkedIn Password, and LinkedIn Job Search URLs (when you are logged in)) (up to 1,000 entries).
• Fields stay connected: LinkedIn Job Scraper returns Title, Input_URL, Salary, Location, and Keyword in the same structured dataset.
• Ready for repeat use: After LinkedIn Job Scraper runs locally, schedule eligible tasks and export the rows for spreadsheets, dashboards, APIs, or AI workflows.

📝 Input

Complete the following fields:

• LinkedIn Job Search URLs (when you are logged in) (up to 1,000)) (Required) — Enter one or more LinkedIn job-search result URLs captured while logged in. Up to 1,000 entries per run.

💡 Tips

• Start with a small, representative LinkedIn Account selection before scaling the task.
• Keep Keyword in the export so every row can be traced to its originating input or page.

❓ FAQ

What do I enter in LinkedIn Job Scraper?

Complete LinkedIn Account, LinkedIn Password, and LinkedIn Job Search URLs (when you are logged in)) using the accepted values and limits listed in the Input section.

Which LinkedIn Jobs pages does LinkedIn Job Scraper process?

The workflow is configured for search-result pages and returns fields such as Title, Input_URL, Salary, and Location.

What can I use data from LinkedIn Job Scraper for?

Build a structured research dataset organized by Keyword, Input URL, and Title.

🔗 Related Templates

• 🔥 LinkedIn Job Scraper — Use 🔥 LinkedIn Job Scraper to enrich discovered URLs with detail-page data.
• LinkedIn Job Details Page Scraper — Use LinkedIn Job Details Page Scraper to enrich discovered URLs with detail-page data.
• LinkedIn Posts Scraper — Use LinkedIn Posts Scraper for a complementary workflow on the same source site.