LinkedIn Company Jobs Scraper

🚀 LinkedIn Company Jobs Scraper

Name the companies, get every job they're advertising on LinkedIn. Export to JSON, CSV or Excel.

Point it at stripe, vercel, or any LinkedIn company profile URL, and it returns that company's open roles worldwide — deduplicated, with the company's full LinkedIn profile attached to every row at no extra charge.

Built for recruiters tracking who's hiring, sales teams prospecting on hiring signals, and analysts watching competitor headcount.

✨ Features

• Worldwide by default. Most LinkedIn scrapers quietly return only the jobs in whatever country their server happens to sit in. This one searches globally: Stripe returns 901 open roles worldwide instead of the 567 a US-scoped search sees, and IBM returns 1,000+ instead of 552.
• Goes past the 1,000-result limit. LinkedIn serves at most 1,000 results per search, however many jobs actually match. When a company has more, the search is automatically re-run across narrower posting-date windows and merged. Measured on Deloitte: 1,000 → 1,500+ unique roles.
• Deduplicated, always. Every role appears once, keyed on its LinkedIn job ID.
• Full company profile on every row, free. Industry, employee count, followers, website, headquarters, founded year, company type and description — included with every job, not charged separately.
• Several companies per run. Every company is resolved by name and reported individually.
• Two levels of depth, so you pay for what you need:
  • Listing — title, location, posted date, job URL, plus the whole company profile
  • + Full details — description, posted salary parsed into min/max/currency/period, seniority, employment type, job function, industries, applicant count, apply type
• Tells you when a company can't be found. A misspelled slug is named in the log and in RUN_SUMMARY, never silently dropped.
• Honest reporting. Every run writes a RUN_SUMMARY with the open-role count LinkedIn reports per company, how many were returned, and whether anything was truncated and why.
• No proxy needed. Runs clean without one; proxy support is there as a fallback for high volume, not a requirement.

🛠️ How It Works

1. Enter companies — a slug (stripe) or a profile URL (https://www.linkedin.com/company/stripe). The slug is the part of the URL after /company/.
2. Optionally narrow by keyword, location, or how recently the role was posted.
3. Choose depth — listings only, or open each posting for full details.
4. Run it. Companies with more than 1,000 open roles are automatically split and merged.
5. Export to JSON, CSV, Excel, or pull from the API.

📋 Output Fields

Job (every run)

Field	Description
jobId	LinkedIn job posting ID — the deduplication key
jobUrl	Canonical LinkedIn job URL
title	Job title
location	Job location
postedDate	Posting date (YYYY-MM-DD)
postedTimeAgo	Relative posting age, e.g. "1 week ago"
sourceQuery	Which search this role came from
scrapedAt	ISO 8601 scrape timestamp

Company (every run, no extra charge)

Field	Description
companyId	Numeric LinkedIn company ID
companySlug	Company slug — stable join key across runs
companyUrl	Company LinkedIn profile URL
companyName	Company name
companyLogo	Company logo image
companyTagline	Company tagline
companyDescription	Company About text
companyIndustry	Company industry
companyWebsite	Company website
companyHeadquarters	Headquarters location
companySize	Employee band as published, e.g. "5,001-10,000 employees"
companyEmployeeCount	Upper bound of that band, as a number
companyFollowers	LinkedIn follower count
companyFounded	Year founded
companySpecialties	Company specialties
companyType	Public Company, Privately Held, ...

Full details (optional)

Field	Description
description	Full job description text
salaryText	Posted salary range as displayed
salaryMin / salaryMax	Parsed salary bounds
salaryCurrency / salaryPeriod	Currency, and year / hour / month
seniorityLevel	Entry level, Mid-Senior level, ...
employmentType	Full-time, Part-time, Contract, ...
jobFunction	Job function
industries	Industries
applicantCount	Applicant count as a number
numApplicantsCaption	Applicant caption as displayed
applyType	easyApply or offsite (external application)
jobTitle / jobLocation	Title and location from the posting page
criteria	Original name/value criteria list
similarJobs	Similar roles LinkedIn surfaces alongside this posting
peopleAlsoViewed	Roles that viewers of this posting also viewed

Salary is only present where the employer posts it — common in the US, rare elsewhere. Fields with no data are null, never invented.

📊 Sample Output Data

Listing depth — one row, the whole company profile included:

{
    "jobId": "4425602946",
    "jobUrl": "https://www.linkedin.com/jobs/view/4425602946",
    "title": "Staff Product Manager, Global Expansion",
    "location": "Bengaluru, Karnataka, India",
    "postedDate": "2026-07-25",
    "postedTimeAgo": "1 week ago",
    "companyName": "Stripe",
    "companyId": "2135371",
    "companySlug": "stripe",
    "companyUrl": "https://www.linkedin.com/company/stripe",
    "companyTagline": "Help increase the GDP of the internet.",
    "companyIndustry": "Technology, Information and Internet",
    "companyWebsite": "https://stripe.com",
    "companyHeadquarters": "South San Francisco, California",
    "companySize": "5,001-10,000 employees",
    "companyEmployeeCount": 10000,
    "companyFollowers": 1612641,
    "companyFounded": "2010",
    "companyType": "Privately Held",
    "sourceQuery": "geoId=92000000&f_C=2135371",
    "scrapedAt": "2026-08-06T04:47:15.660Z"
}

With full details turned on, each row also carries the description, parsed salary, seniority and applicant count:

{
    "jobId": "4432896820",
    "title": "Software Engineer, Dashboard",
    "companyName": "Vercel",
    "salaryText": "$130,000.00 - $300,000.00",
    "salaryMin": 130000,
    "salaryMax": 300000,
    "salaryCurrency": "$",
    "salaryPeriod": "year",
    "seniorityLevel": "Mid-Senior level",
    "employmentType": "Full-time",
    "jobFunction": "Engineering",
    "industries": "Software Development",
    "applicantCount": 200,
    "applyType": "offsite"
}

💰 Pricing

Pay only for what you extract. No per-run start fee.

Event	Price (Free plan)	Price (Gold plan)
Job listing (incl. company profile)	$0.0008	$0.0004
Job with full details	$0.003	$0.0012

A 200-role run costs about $0.16 on the Free plan for listings, or $0.60 with full details — $0.08 / $0.24 on Gold.

❓ FAQ

Where do I find a company's slug? It's the part of the LinkedIn profile URL after /company/. For https://www.linkedin.com/company/stripe, the slug is stripe. You can paste the whole URL instead — it's accepted as-is.

Why did a company return nothing? Either the slug is wrong, or the company genuinely has no open roles matching your filters. Unresolvable companies are named explicitly in the log and in RUN_SUMMARY; if every company fails, the run fails loudly rather than reporting an empty success.

Why don't I get all the roles at a very large employer? LinkedIn serves 1,000 results per search. Splitting across posting-date windows multiplies what's reachable but doesn't make it unlimited. Add a location or a keyword to narrow the search and run it again. RUN_SUMMARY tells you exactly when and why a run stopped short.

Can I filter by remote, job type or experience level? Not here, deliberately. LinkedIn accepts those filters alongside a company filter and then ignores them — every value returns the company's full, unfiltered result set. Offering them would hand you unfiltered data that looks filtered. Keyword, location and posted-within all genuinely narrow, so those are what's exposed.

Do I need a proxy? No. Leave it off unless you're running at high volume and start seeing failures.

Do I need a LinkedIn account or cookies? No. Only publicly visible job data is collected.

I want to search by keyword across all companies instead. Use the LinkedIn Jobs Search Scraper. For a single posting's full details, use the LinkedIn Job Details Scraper.