LinkedIn Jobs Search — No Login, Full Job Details
Pricing
from $0.09 / 1,000 results
LinkedIn Jobs Search — No Login, Full Job Details
Search LinkedIn job listings by keyword + location. Pure public API, no account or cookie needed. Returns title, company, location, posted date, seniority, employment type, job function, industries, applicants, and full job description.
Pricing
from $0.09 / 1,000 results
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Yugenox Corp
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💼 LinkedIn Jobs Search — No Login, Full Job Details
Search LinkedIn jobs and get rich, structured data — no LinkedIn account, no cookies, no login. Ever. ⚡
Give it a job title and a location. Get back clean JSON with everything a job seeker or recruiter actually cares about: salary, seniority, apply type, freshness, company info, and the full description. Fast, reliable, and built on LinkedIn's own public job data.
✨ Why this scraper?
| 🔓 No login required | No account, no cookie, no session token to expire. Nothing to get banned. |
| 🧾 30+ fields per job | Salary, seniority, apply type, applicants, poster, company size & website, and more. |
| ⚡ Fast | Parallel fetching — ~40 jobs in seconds. |
| 💰 Smart salary detection | Reads the listed salary and pulls pay ranges out of the description when LinkedIn hides them. |
| 🎯 Powerful filters | Date posted, remote/hybrid/on-site, job type, experience level. |
| 🌍 Any location, any role | Works worldwide — city, region, or whole country. |
🚀 Quick start
- Enter a job title / keywords (e.g.
real estate analyst) 🔎 - Enter a location (e.g.
Toronto, Ontario, Canada) 📍 - Click Start ▶️
That's it. Results stream into the dataset — export to JSON, CSV, Excel, or pull them via API.
📥 Sample input
{"keywords": "software engineer","location": "San Francisco, California, United States","maxJobs": 50,"enrich": true,"enrichCompany": true,"datePosted": "week","workplace": "remote","jobType": "full-time","experience": "mid-senior"}
⚙️ Input options
| Field | What it does | Example |
|---|---|---|
keywords ⭐ | Job title or search terms (required) | "software engineer" |
location | City, region, or country. Blank = worldwide | "San Francisco, CA" |
maxJobs | How many jobs to return (up to ~1000) | 50 |
enrich | Fetch each job's full detail page (description, salary, seniority…) | true |
enrichCompany | Also fetch company description, website & employee count | false |
datePosted | any · month · week · day | "week" |
workplace | any · on-site · remote · hybrid | "remote" |
jobType | any · full-time · part-time · contract · temporary · internship | "full-time" |
experience | any · entry-level · associate · mid-senior · director · executive | "mid-senior" |
concurrency | Parallel requests — higher = faster (default 20) | 20 |
📤 Sample output
Each job is one record like this 👇
{"id": "4437461678","link": "https://www.linkedin.com/jobs/view/software-engineer-early-career-at-notion-4437461678","title": "Software Engineer, Early Career","companyName": "Notion","companyLinkedinUrl": "https://www.linkedin.com/company/notionhq","companyLogo": "https://media.licdn.com/dms/image/v2/D4E0BAQGwvcv_1tHZ4w/company-logo_100_100/...","location": "San Francisco, CA","workplaceType": null,"isRemote": false,"salaryInfo": ["$130,000", "$150,000"],"salarySource": "description","postedAt": "2026-07-06","postedText": "4 days ago","postedDaysAgo": 5,"benefits": ["Actively Hiring"],"applicantsCount": "200","applyType": "company-site","applyUrl": "","isActive": true,"reposted": false,"seniorityLevel": "Not Applicable","employmentType": "Full-time","jobFunction": "Engineering and Information Technology","industries": "Software Development","jobPosterName": null,"jobPosterTitle": null,"jobPosterPhoto": null,"jobPosterProfileUrl": null,"descriptionText": "Who We Are — Notion is the collaborative AI workspace where teams and agents think together...","descriptionHtml": "<p>Who We Are</p><p>Notion is the collaborative AI workspace...</p>","companyDescription": "Notion blends your everyday work tools into one. Product roadmap? Company wiki? Meeting notes?...","companyWebsite": "https://notion.com","companyEmployeesCount": 7730}
🗂️ Every field explained
🧭 Job basics
| Field | Description |
|---|---|
id | LinkedIn job posting ID |
link | Direct URL to the job posting |
title | Job title |
location | Job location as shown on LinkedIn |
workplaceType | Remote · Hybrid · On-site (when detectable) |
isRemote | true if the role is remote |
💵 Pay & freshness
| Field | Description |
|---|---|
salaryInfo | Pay range as [min, max] (e.g. ["$130,000", "$150,000"]) |
salarySource | listed (official field) or description (parsed from the text) |
postedAt | Date posted (YYYY-MM-DD) |
postedText | Human text, e.g. "4 days ago" |
postedDaysAgo | Days since posted, as a number — great for sorting by freshness ⏱️ |
benefits | Badges like "Actively Hiring" |
📨 Applying
| Field | Description |
|---|---|
applicantsCount | Number of applicants |
applyType | easy-apply (apply on LinkedIn) or company-site (apply on the employer's site) |
applyUrl | External apply link when LinkedIn exposes it |
isActive | false if the listing is no longer accepting applications ⛔ |
reposted | true if the listing was reposted |
🏷️ Classification
| Field | Description |
|---|---|
seniorityLevel | e.g. Associate, Mid-Senior, Director |
employmentType | Full-time, Contract, Internship… |
jobFunction | e.g. Engineering and Information Technology |
industries | e.g. Software Development |
👤 Job poster (when available)
| Field | Description |
|---|---|
jobPosterName | Name of the recruiter / hiring manager who posted |
jobPosterTitle | Their job title |
jobPosterPhoto | Their profile photo URL |
jobPosterProfileUrl | Their LinkedIn profile URL |
📝 Descriptions
| Field | Description |
|---|---|
descriptionText | Full job description as clean plain text |
descriptionHtml | Full job description with original HTML formatting |
🏢 Company (only when enrichCompany: true)
| Field | Description |
|---|---|
companyName | Company name |
companyLinkedinUrl | Company's LinkedIn page |
companyLogo | Company logo image URL |
companyDescription | The company's "About" description |
companyWebsite | Company website |
companyEmployeesCount | Number of employees on LinkedIn |
💡 Great for
- 🔍 Job seekers — build a live, filtered job board with salary & freshness signals
- 🧑💼 Recruiters & sourcers — track who's hiring and see the poster behind each role
- 📊 Market research — salary benchmarking, hiring trends, competitor headcount
- 🤖 Job boards & AI apps — feed clean, structured job data into your product
❓ FAQ
Do I need a LinkedIn account? No. This uses LinkedIn's public job data — no login, no cookies, nothing to configure. 🎉
Will my account get banned? There's no account involved, so there's nothing to ban.
Why is a salary sometimes empty?
Not every employer publishes one. When the official field is empty, we still try to recover a range from the description (salarySource: "description"). If neither exists, salaryInfo is [].
Why is applyUrl sometimes empty?
For jobs that apply on the company's own website, LinkedIn hides the external link publicly — so we flag it as applyType: "company-site" instead. Open the link to apply.
How many jobs can I get? LinkedIn's public search tops out around ~1000 results per query. Narrow with filters or split by location to go wider.
Not affiliated with LinkedIn. Scrapes publicly available job data only.
Is it legal to scrape LinkedIn jobs? This Actor only collects publicly available data: job postings from LinkedIn's public job pages, which anyone can view without logging in. Collecting publicly available data is generally legal, but you're responsible for how you use it. Results can include the name of the person who posted a job, where LinkedIn shows it, and that counts as personal data. You must follow privacy laws such as GDPR, PIPEDA and CCPA, as well as LinkedIn's terms. If you're unsure, check with a lawyer. More on this: Is web scraping legal?
Does it access any private data? No. Everything comes from pages LinkedIn shows to any visitor without logging in. It never uses a login, never touches private or restricted accounts, and never reaches password-protected areas.