LinkedIn Company Jobs Scraper

Scrape a specific company's live job postings on LinkedIn — every open role, with title, location, posted date, and apply URL — plus the company's own metadata (industry, size, employee count, headquarters, followers). Give it a LinkedIn company URL, a slug, or a numeric company ID; get back that company's current jobs as structured JSON.

No login. No cookies. Public data only.

What you get

Field	Description	Example
jobId	LinkedIn job posting ID	4427202797
title	Job title	Senior Software Engineer
companyName	Hiring company	Stripe
companyId	Numeric LinkedIn company ID	51737071
location	Job location	San Francisco, CA
postedAt	ISO date the job was posted	2026-06-25
jobUrl / applyUrl	Link to the posting	https://www.linkedin.com/jobs/view/...
workplaceType	On-site / Hybrid / Remote (when filtered)	Remote
company	Nested company metadata object	{ industry, size, employeeCount, headquarters, followers, website, logo }
scrapedAt	ISO timestamp of the scrape	2026-06-27T08:00:00.000Z

With Fetch full job details enabled, each job also gets descriptionText, applicants, seniorityLevel, employmentType, jobFunction, and industries.

When to use it

• Competitive hiring intel — track which roles a competitor is opening and where.
• Recruiters / sourcers — pull a target company's whole open-roles list in one run.
• Market research — measure a company's hiring velocity over time.
• AI agents (MCP-ready) — single company in, structured jobs out.

Not a keyword job search across all of LinkedIn — for that use linkedin-jobs-scraper. Not a profile or email scraper.

Input

{
  "company": "https://www.linkedin.com/company/stripe",
  "keywords": "engineer",
  "location": "United States",
  "datePosted": "month",
  "jobType": "full-time",
  "experienceLevel": "mid-senior",
  "remoteOnly": false,
  "maxResults": 50,
  "enrichJobDetails": false,
  "enrichCompany": true
}

• company (required) — company URL, slug (stripe), or numeric ID (51737071). A URL/slug is resolved to the numeric ID automatically.
• Filters (keywords, location, datePosted, jobType, experienceLevel, remoteOnly) are all optional.
• maxResults — default 50, max 1000.
• enrichJobDetails — opt-in per-job description/applicants (slower).

How it works

1. Resolve the company URL/slug to its numeric LinkedIn ID and metadata via ScrapeCreators (primary) then SociaVault (fallback).
2. List the company's postings through LinkedIn's public, cookieless jobs-guest endpoint, paginating until maxResults.
3. Enrich (optional) each job with its full detail page.

Runs on Apify Residential proxies. Returns a diagnostic summary in the run's OUTPUT key.

Pricing (pay-per-event)

Event	Price
Actor start	$0.00005
Job scraped	$0.004 per job
Company resolved & enriched	$0.01 per run (only when resolving a URL/slug)

A typical 50-job run costs about $0.21. Pay-per-usage (compute + proxy) is also available.

MCP / agent use

Exposed as apify--linkedin-company-jobs-scraper. One company in, that company's current jobs out — a clean tool call for sourcing and hiring-intel agents.

Legal

Scrapes only publicly visible LinkedIn data; no login or private data. You are responsible for using the output in compliance with LinkedIn's terms and applicable law (GDPR/CCPA). For research and lawful business use.