Pricing

from $4.99 / 1,000 results

LinkedIn Jobs Scraper

Scrapes LinkedIn job listings with full details: title, company, location, salary, description, employment type, seniority level, and more. Supports keyword search, location filters, date posted, job type, experience level, and automatic pagination.

Pricing

from $4.99 / 1,000 results

Rating

0.0

(0)

Developer

codingfrontend

Actor stats

Bookmarked

Total users

Monthly active users

2 days ago

Last modified

Features

Search LinkedIn jobs by keywords, location, and multiple filters
Extracts job ID, title, company, location, salary, employment type, seniority, description, skills, and more
Supports pagination to scrape hundreds of results
Filters by date posted, job type, experience level, and remote preference
Optionally scrapes full job descriptions from detail pages
Dataset views: Overview and Full Details

Input Parameters

Parameter	Type	Required	Default	Description
`keywords`	string	✅	—	Job title or keywords (e.g. `"software engineer"`)
`location`	string	✅	`United States`	Location filter (e.g. `"San Francisco, CA"`)
`maxJobs`	integer	—	`50`	Max jobs to scrape (1–500)
`datePosted`	string	—	`anyTime`	`anyTime`, `pastMonth`, `pastWeek`, `past24Hours`
`jobType`	string	—	any	`F` = Full-time, `P` = Part-time, `C` = Contract, `T` = Temporary, `I` = Internship
`experienceLevel`	string	—	any	`1` = Internship, `2` = Entry, `3` = Associate, `4` = Mid-Senior, `5` = Director, `6` = Executive
`remoteFilter`	string	—	any	`1` = On-site, `2` = Remote, `3` = Hybrid
`scrapeJobDetails`	boolean	—	`true`	Visit each job page for full description, skills, salary
`proxyConfiguration`	object	—	—	Proxy settings (residential recommended)

Output Fields

Field	Type	Description
`jobId`	string	LinkedIn job ID
`jobTitle`	string	Job title
`company`	string	Company name
`companyUrl`	string	Company LinkedIn URL
`location`	string	Job location
`salary`	string	Salary range (if listed)
`employmentType`	string	Full-time, Part-time, Contract, etc.
`seniorityLevel`	string	Entry level, Mid-Senior level, etc.
`description`	string	Full job description
`skills`	array	Required skills list
`applicantCount`	string	Number of applicants
`postedDate`	string	When the job was posted
`jobUrl`	string	Direct LinkedIn job URL
`scrapedAt`	string	ISO 8601 timestamp

Example Output

{
  "jobId": "4413269750",
  "jobTitle": "Full Stack Software Engineer (Entry-Junior)",
  "company": "Revel",
  "location": "Los Angeles, CA",
  "employmentType": "Full-time",
  "seniorityLevel": "Entry level",
  "description": "We are looking for a talented engineer...",
  "skills": ["React", "Node.js", "PostgreSQL"],
  "postedDate": "2026-05-12",
  "jobUrl": "https://www.linkedin.com/jobs/view/4413269750",
  "scrapedAt": "2026-05-12T22:43:58.494Z"
}

Dataset Views

Overview: Job title, company, location, salary, employment type, seniority level, job URL, posted date
Full Details: All overview fields + full description, skills, applicant count, company URL

Notes

LinkedIn's public jobs API works without authentication
Residential proxies are strongly recommended to avoid rate-limiting
Use maxJobs: 1–5 for quick testing
scrapeJobDetails: false is faster but returns less data

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