🔥 LinkedIn Jobs Scraper

Extract 1,000 LinkedIn job listings in ~5 minutes. No login, no cookies, no account risk — just fast, reliable job data from 45+ countries.

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What Makes It Different

• Zero-cookie, zero-risk. Most LinkedIn scrapers require cookies or login — putting your account at risk. This one runs entirely on residential proxies with no account needed. Your LinkedIn profile stays safe.
• Adaptive throughput. Automatically scales scraper concurrency based on available memory. More RAM = more simultaneous scrapers = faster results. At 4 GB, you get ~500 results/minute.
• Full job descriptions + direct apply URLs. Fetches the complete job listing (not just a preview snippet) along with the employer's own careers page link. No other scraper in this price range gives you both.

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Sample Output

[
  {
    "title": "Software Engineer, New Grad (AI)",
    "company": "Notion",
    "location": "San Francisco, CA",
    "job_url": "https://www.linkedin.com/jobs/view/4407498584",
    "id": "li-4407498584",
    "date_posted": "2026-06-09",
    "description": "**About The Role**\nAs an engineer at Notion, you'll help shape...",
    "site": "linkedin",
    "job_type": "fulltime",
    "min_amount": null,
    "max_amount": null,
    "currency": null,
    "is_remote": false,
    "job_level": "entry level",
    "job_function": "Engineering and Information Technology",
    "listing_type": null,
    "emails": null,
    "company_industry": "Software Development",
    "company_url": "https://www.linkedin.com/company/notionhq",
    "company_logo": "https://media.licdn.com/dms/image/v2/D4E0BAQGwvcv_1tHZ4w/company-logo_100_100/...",
  }
]

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Input

Field	Type	Required	Description	Default
keywords	string[]	✅	Job titles or keywords to search. Each keyword runs as an independent scrape (e.g. ["software engineer", "data analyst"]). LinkedIn boolean operators are supported.	—
location	string	—	City, state, or region. Fold country into your location string for best results (e.g. "London, United Kingdom", "Berlin, Germany").	""
datePosted	string	—	Only show jobs posted on or after this date in YYYY-MM-DD format (e.g. "2026-06-01"). Converts automatically to a freshness window.	No filter
job_type	string	—	fulltime, parttime, contract, temporary, internship	Any
is_remote	boolean	—	Only show remote jobs	false
maxItems	integer	—	Maximum results per keyword (1–10,000)	20

Example Input

{
  "keywords": ["software engineer", "data analyst"],
  "location": "San Francisco, California",
  "datePosted": "2026-06-01",
  "job_type": "fulltime",
  "is_remote": false,
  "maxItems": 20
}

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Output

Each job listing returns a JSON object with the fields below. Fields that depend on employer-provided data (salary, company metadata, skills, etc.) are null when not available — only the core identity fields are guaranteed non-null.

Core Fields

Field	Type	Description
title	string	Job title
company	string	Company name
location	string	Job location (city, state, or empty)
job_url	string	LinkedIn job listing URL
job_url_direct	string?	Employer's own careers page URL for direct applications
id	string	LinkedIn's persistent job posting ID — stable across runs for deduplication
date_posted	string	ISO date the job was posted (YYYY-MM-DD)
description	string	Full job description in markdown format (not a truncated preview)
site	string	Source site ("linkedin")
job_type	string	fulltime, parttime, contract, temporary, internship
is_remote	boolean	Whether the job is remote
job_level	string	Seniority level (e.g. "entry level", "mid-senior level")
job_function	string	Job function category (e.g. "Engineering", "Engineering and Information Technology")

Salary Fields

When the employer includes salary information in the listing:

Field	Type	Description
salary_source	string?	Where the salary data came from (e.g. "description" when parsed from the job description)
interval	string?	Pay interval (e.g. "yearly", "monthly", "hourly")
min_amount	number?	Minimum of the posted salary range
max_amount	number?	Maximum of the posted salary range
currency	string?	ISO 4217 currency code (e.g. "USD")

Company Fields

Field	Type	Description
company_industry	string?	Industry classification (e.g. "Software Development", "Financial Services")
company_url	string?	Company's LinkedIn page URL
company_logo	string?	URL of the company's LinkedIn profile image

Additional Fields

Field	Type	Description
emails	string?	Email addresses found in the job description
listing_type	string?	Listing classification (e.g. sponsored, organic)
skills	string?	Skills mentioned or required in the posting
experience_range	string?	Years of experience required
vacancy_count	number?	Number of open positions for this listing
work_from_home_type	string?	Hybrid/remote classification details

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Use Cases

• Job seekers — Monitor fresh listings in your field across multiple keywords and locations in one run. Filter by recency and job type to focus on what matters.
• Recruiters & staffing agencies — Build candidate pipeline datasets. Track hiring velocity at target companies. Map the competitive landscape by role and location.
• Market researchers — Analyse salary trends, skill demand, and hiring volume. Compare job markets across cities and countries.
• Sales & lead generation — Identify companies that are actively hiring for roles your product serves. Time outreach to match growth signals.

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FAQ

Do I need a LinkedIn account? No. This scraper runs entirely on residential proxies — no login, no cookies, no account required. Your LinkedIn profile is never involved.

Can I scrape multiple keywords at once? Yes. Submit an array of keywords and each one runs as an independent scrape job. Results are combined into a single dataset, tagged by search term.

What countries are supported? LinkedIn search covers 45+ countries. Include the country in your location string (e.g. "London, United Kingdom") for accurate geo-targeting.