# LinkedIn Company Jobs Scraper - All Open Roles of a Company (`aolmo/linkedin-company-jobs`) Actor

All the jobs a company lists on LinkedIn, without login: company names or page URLs in, one row per job out with title, location, date, salary, full description, seniority, employment type, applicants and apply link. Keyword and location filters. New jobs flagged on schedules. $0.0005 per job.

- **URL**: https://apify.com/aolmo/linkedin-company-jobs.md
- **Developed by:** [Antonio del Olmo Tena](https://apify.com/aolmo) (community)
- **Categories:** Jobs
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.50 / 1,000 job scrapeds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

List every job a company has open on LinkedIn, without login, cookies or a browser. Give company names, page URLs or ids and get one row per job with title, location, posting date, salary when LinkedIn shows it, the full description, seniority, employment type, job function, industries, applicant count and the external apply link. Filter by keywords or location, read up to 1,000 jobs per company, and schedule the Actor to be told when a company posts new roles. Competitor hiring intelligence, sales triggers, recruiting research and job boards at $0.0005 per job.

The Actor reads the company id from the public LinkedIn page and then the same public job endpoints LinkedIn serves to visitors who are not logged in, so it is fast, cheap and does not put any account at risk.

### What you get

One Dataset row per job:

- `title`, `url`, `id`, `company`, `companyUrl`, `companyLogo`, `location`, `postedAt` (`YYYY-MM-DD`), `postedText`, `salary` and `benefits` when shown.
- With **Include full description** (default on): `description` as plain text, `seniority`, `employmentType`, `jobFunction`, `industries`, `applicants` and `applyUrl`.
- `source` (the LinkedIn jobs search of the company), `companyName`, `companyId` and `isNew` (true for jobs that were not in the previous run for the same company).

Companies that do not exist, need login or have no open jobs return a row with an `error` field or nothing, and are not charged.

### How to use it

1. Open the **Input** tab.
2. Add **Companies**, one per line (up to 500 per run): `stripe`, `https://www.linkedin.com/company/stripe`, a jobs search URL with `f_C=<id>` or the numeric company id.
3. Optionally set **Keywords** and **Location**, and **Max jobs per company**.
4. Keep **Include full description** on for the description, criteria and apply link, or turn it off for a faster run with the list data only.
5. Click **Start** and export the rows as JSON, CSV or Excel.

### Input

```json
{
  "companies": ["stripe", "https://www.linkedin.com/company/openai"],
  "keywords": "engineer",
  "location": "United States",
  "maxJobs": 100,
  "includeDescription": true
}
```

### Output

```json
{
  "source": "https://www.linkedin.com/jobs/search/?f_C=2135371&keywords=engineer&location=United+States",
  "companyName": "Stripe",
  "companyId": "2135371",
  "id": "4478456660",
  "url": "https://www.linkedin.com/jobs/view/software-engineer-at-stripe-4478456660",
  "title": "Software Engineer, Payments",
  "company": "Stripe",
  "location": "South San Francisco, CA",
  "postedAt": "2026-10-15",
  "postedText": "1 week ago",
  "salary": "$180,000 - $250,000",
  "description": "Who we are...",
  "seniority": "Mid-Senior level",
  "employmentType": "Full-time",
  "applicants": "Over 200 applicants",
  "applyUrl": "https://stripe.com/jobs/listing/...",
  "isNew": false,
  "timestamp": "2026-10-22T10:00:00.000Z"
}
```

### Pricing

Pay per event: **$0.0005 per job** and **$0.002 per new job** detected on a scheduled run. Companies that cannot be read are free. All 786 open roles of Stripe cost $0.39.

### Limits and notes

- LinkedIn serves visitors up to 1,000 jobs per company; use **Keywords** or **Location** to narrow larger employers.
- Some postings hide the salary; `salary` is null then.
- The Actor never bypasses logins, CAPTCHAs or rate limits.

### Related Actors

- **LinkedIn Jobs Scraper**: jobs by keyword and location across companies.
- **LinkedIn Job Details Scraper**: one posting by URL or id.
- **LinkedIn Company Scraper** and **LinkedIn Company Leads Scraper**: details and website contacts of the company.
- **Company Jobs Scraper (ATS)**: open positions on Greenhouse, Lever, Workable and other career sites.

# Actor input Schema

## `companies` (type: `array`):

One per line: stripe, https://www.linkedin.com/company/stripe, a jobs search URL with f_C=<id>, or the numeric company id. Up to 500 per run.

## `keywords` (type: `string`):

Optional. Only jobs matching these words, e.g. engineer.

## `location` (type: `string`):

Optional. Only jobs in this location as LinkedIn names it, e.g. Dublin, Ireland or United States.

## `maxJobs` (type: `integer`):

LinkedIn serves up to 1,000 jobs per company. Also caps what you pay per company.

## `includeDescription` (type: `boolean`):

Fetches each job page for the description, seniority, employment type, job function, industries, applicants and apply link (one extra request per job).

## `product` (type: `string`):

Internal. Leave as is.

## Actor input object example

```json
{
  "companies": [
    "stripe"
  ],
  "maxJobs": 30,
  "includeDescription": true,
  "product": "linkedin-company-jobs"
}
```

# Actor output Schema

## `results` (type: `string`):

Dataset items: url, changed, events, data, timestamp and error (when the target failed).

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "companies": [
        "stripe"
    ],
    "maxJobs": 30
};

// Run the Actor and wait for it to finish
const run = await client.actor("aolmo/linkedin-company-jobs").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "companies": ["stripe"],
    "maxJobs": 30,
}

# Run the Actor and wait for it to finish
run = client.actor("aolmo/linkedin-company-jobs").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "companies": [
    "stripe"
  ],
  "maxJobs": 30
}' |
apify call aolmo/linkedin-company-jobs --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,aolmo/linkedin-company-jobs"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/wpfNfDZXa2Z1wBdaD/builds/iH9e9M67SfV7RWL2b/openapi.json