LinkedIn Jobs Scraper (No Cookies)

🔎 Find LinkedIn jobs without cookies

Recruiters, job seekers, and hiring researchers can use LinkedIn Jobs Scraper to turn public job listings into a dataset. Search by keyword or supply job URLs or IDs. Get titles, employers, locations, and available job details to compare roles and build job lists without a LinkedIn account or cookies.

• Find roles with remote work using LinkedIn Remote Jobs.
• Collect early-career openings with LinkedIn Internships.
• Review a named employer's openings with LinkedIn Company Jobs.
• Find recent openings with LinkedIn Jobs Posted Today.
• Collect jobs that offer Easy Apply with LinkedIn Easy Apply Jobs.

📦 Public job details for hiring research

Each saved row is one public LinkedIn job listing with a job ID, title, employer, and location. Optional data includes full descriptions, posting dates, job types, pay, benefits, applicant counts, apply links, and company details when the source shows them.

Job data is read from the source during the run. Missing optional details do not prevent a valid job from being saved. Private or unreadable listings are not saved as jobs. Source access limits can affect which jobs are available.

The first eligible occurrence of each source job is saved as it is found. Later matches for that job are ignored within the run.

▶️ Run a LinkedIn job search or lookup

1. Choose Keyword search, Job URLs, or Job IDs in Find jobs by.
2. Enter keywords, public job URLs, or numeric job IDs for that method.
3. For keyword search, add any location, employer, date, or job filters you need. All keywords use the same filters.
4. Set Maximum jobs, or leave it empty to return all available results until the source is exhausted.
5. Start the Actor and open the Job listings dataset link to review or export the jobs.

⚙️ Input

Only fields for the chosen method are used. Search filters apply to keyword search; job URLs and job IDs fetch the listings you supply and ignore those filters.

Input fields

Field	Type	What it does
discoveryMethod	string	Choose keywords, urls, or ids. Required.
keywords	array of strings	Job searches with shared filters. Supports AND, OR, NOT, quotes, and parentheses.
location	string	City, region, country, or numeric LinkedIn geographic ID. Leave empty for worldwide search.
companyName	string	Search for jobs at a named employer.
companyReferences	array of strings	LinkedIn company page URLs or numeric company IDs to filter by employers.
postedWithin	string	Choose hour, 24h, week, or month. Leave empty for any posting date.
employmentTypes	array of strings	Choose 1 full-time, 2 part-time, 3 contract, 4 temporary, 5 volunteer, 6 internship, or 7 other. Empty includes all types.
experienceLevels	array of strings	Choose 1 internship, 2 entry level, 3 associate, 4 mid-senior level, 5 director, or 6 executive. Empty includes all levels.
workplaceTypes	array of strings	Choose 1 on-site, 2 remote, or 3 hybrid. Empty includes all workplace types.
industryIds	array of strings	Numeric LinkedIn industry IDs. Empty includes all industries.
minimumSalary	string	LinkedIn salary threshold in US dollars: 40000, 60000, 80000, 100000, 120000, 140000, 160000, 180000, or 200000. Results depend on available source salary data.
easyApplyOnly	boolean	Keep only jobs offering LinkedIn Easy Apply.
fewerThanTenApplicants	boolean	Keep only jobs LinkedIn marks as having fewer than ten applicants.
titleKeywords	array of strings	Keep titles containing every keyword in this list. Empty skips this filter.
excludeStaffingAgencies	boolean	Exclude recruiter and staffing-agency postings.
sortBy	string	Choose relevance or date for newest jobs first.
jobUrls	array of objects	Public LinkedIn job URLs for URL lookup. Each entry has a url value.
jobIds	array of strings	Numeric LinkedIn job IDs for ID lookup.
maxItems	integer	Stop after this many jobs across the run. Minimum: 1. Leave empty to return all available results until the source is exhausted. There is no fixed upper bound in the input schema.

Input example

This is the public input of the successful current-beta default-input run.

{
  "discoveryMethod": "keywords",
  "keywords": [
    "software engineer"
  ],
  "maxItems": 1
}

🧾 Output

The jobs output field is a string link to the saved job listings in the default dataset. All three input methods return the same job row shape. The four required fields are jobId, title, companyName, and location. Other fields may be missing when the source does not supply them.

Job row fields

Field	Type	What it does
jobId	string	LinkedIn job ID for finding the job or joining data.
title	string	Job title shown by LinkedIn.
companyName	string	Employer name on the listing.
location	string	Job location shown by LinkedIn.
description	string	Full available description, including stated duties, skills, pay, and benefits.
postedAt	string	Posting date reported by LinkedIn.
employmentType	string	Employment type shown on the listing.
seniorityLevel	string	Source-stated experience or seniority level.
workplaceType	string	Remote, hybrid, or on-site work as stated by LinkedIn.
industries	array of strings	Industries shown on the job listing.
jobFunction	string	Job function shown on the listing.
applicants	string	Applicant count or range, with the source's wording and limits.
applicationUrl	string	External apply URL supplied by the source.
applicationMethod	string	Source-stated way to apply, such as Easy Apply or an external application.
activelyHiring	boolean	Whether LinkedIn shows the Actively Hiring badge, when reported.
compensation	string	Stated pay, including currency, pay period, and any stated limits.
benefits	string	Benefits stated by the source.
listingStatus	string	Source-reported status of a successfully read listing.
expiresAt	string	Source-reported expiration date.
closedAt	string	Source-reported closure date.
viewCount	integer	Job views reported by the source.
companyLogoUrl	string	Employer logo URL supplied by LinkedIn.
company	object	Available details from the employer's public company page.
company.id	string	LinkedIn company ID.
company.url	string	Company page URL supplied by LinkedIn.
company.description	string	Public company description.
company.industries	array of strings	Industries listed by the company.
company.specialties	array of strings	Specialties listed by the company.
company.locations	array of strings	Locations listed by the company.
company.size	string	Workforce size or range shown by LinkedIn.
company.employeeCount	integer	Source-reported employee count.
company.followerCount	integer	Source-reported follower count.
company.headquarters	string	Headquarters location on the public page.
company.coverImageUrl	string	Company cover image URL supplied by LinkedIn.

Genuine job row

This complete row is from a successful current-beta run. Public source values are shown without shortening.

{
  "jobId": "4470778326",
  "title": "PGT Biology Teacher",
  "companyName": "Modern School Lucknow",
  "location": "Lucknow, Uttar Pradesh, India",
  "postedAt": "2026-09-26",
  "companyLogoUrl": "https://media.licdn.com/dms/image/v2/C510BAQH4esIGpso9Tw/company-logo_100_100/company-logo_100_100/0/1630573886872?e=2147483647&v=beta&t=7Rw_U-UVCj11BusYS2dQook0jc5u20CgqccVOJ8P-sY",
  "description": "Company Description\n\nEstablished in 1979, Modern School Lucknow is committed to creating an engaging, inquiry-driven learning environment that supports academic growth and development. The school follows the IB curriculum from Nursery to Grade 5, ICSE for Grades 6 to 10 and ISC for Grades 11 and 12.\n\n\n\n\nRole Description\n\nWe are seeking a Biology Teacher for Grades IX–XII for an on-site role in Lucknow. The teacher will deliver engaging lessons, conduct practical and laboratory-based learning, assess student progress and build strong conceptual understanding.\n\n\n\n\nWe are looking for…\n\nA passionate Biology educator who encourages students to observe, question, investigate and develop a deeper understanding of the living world.\n\n\n\n\nQualifications\n\nStrong subject knowledge in Biology/Life Sciences\n\nExperience teaching at secondary/senior secondary level\n\nExpertise in lesson planning and curriculum development\n\nAbility to conduct laboratory work and practicals\n\nExperience with ICSE/ISC curriculum is an advantage\n\nMaster’s degree in Biology/Life Sciences or related field with B.Ed. or equivalent qualification",
  "applicationMethod": "Easy Apply",
  "employmentType": "Other",
  "seniorityLevel": "Entry level",
  "industries": [
    "Primary and Secondary Education"
  ],
  "applicants": "151 applicants",
  "expiresAt": "2027-03-25T04:19:33.000Z"
}

💳 Pricing

This Actor uses pay-per-event pricing. The Job listing event covers one public LinkedIn job listing read successfully and saved to your dataset. Failed lookups and runs that save no jobs do not create job-listing events. Check the Pricing panel for the current rate.

🔌 Integrations

Export the dataset from Apify for use in spreadsheets or your own hiring research tools. You can run the Actor and read the saved dataset through the Apify API.

❓ FAQ

Do search filters apply to job URLs and IDs?

No. Job URLs and IDs fetch the listings you supply. Only keyword search uses the search filters.

Can I give each keyword a different location or filter?

All keywords in one run share the same filters. Use separate runs when you need different settings.

What happens if several keywords find the same job?

The first eligible occurrence is saved right away. Later matches for the same source job are ignored within that run.

Why are some job details missing?

Public listings do not always show every detail. Optional fields are returned only when available. A valid job can still be saved when optional company details are unavailable.

Does leaving Maximum jobs empty return every LinkedIn job?

It returns all available results until the source is exhausted. It does not promise every job on LinkedIn. Public source access can limit what is available.

Can I use this as a LinkedIn jobs API without cookies?

You can call this Actor through the Apify API and read its dataset. It reads public LinkedIn job data without a LinkedIn account or cookies. It is an independent tool and is not an official LinkedIn API.

Does it apply for jobs or collect candidate profiles?

It collects public job listings. It does not submit applications or collect candidate profiles.

📝 Changelog

v0.0 (06-10-2026)

• Initial release.

🆘 Support

For issues, questions, or feature requests, file a ticket and I'll fix or implement it in less than 24h 🫡

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Made with ❤️ by Maxime Dupré