# LinkedIn Jobs Scraper Pro (`red.cars/linkedin-jobs-scraper-pro`) Actor

LinkedIn jobs with full description, applicant count, seniority and salary at a flat $0.15 per 1,000 on every plan. Remote, job type, experience, Easy Apply and posted-within filters, plus company, title and applicant filters applied before billing.

- **URL**: https://apify.com/red.cars/linkedin-jobs-scraper-pro.md
- **Developed by:** [AutomateLab](https://apify.com/red.cars) (community)
- **Categories:** Jobs, Lead generation, AI
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per event

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

## LinkedIn Jobs Scraper Pro

Scrape LinkedIn job listings with **full description, applicant count, seniority, employment type, industry and salary**, at a flat **$1.00 per 1,000 jobs** for every user, free plan included. Filters run before billing, so jobs you exclude cost nothing.

**Why this one:** the most-used LinkedIn jobs actor on the Apify Store charges $1.00 per 1,000 on paid plans and $2.00 per 1,000 on the free plan, and its own reviews complain the price keeps going up. This actor charges one flat $1.00 per 1,000 on every plan, free plan included, with descriptions, applicant counts and salary in every row, and filters that run before billing.

### What you get

- Any LinkedIn job search: keywords plus location, many searches in one run, de-duplicated
- LinkedIn's own filters: posted within (past hour, 24 hours, week, month), remote / hybrid / on-site, job type, experience level, Easy Apply only, under 10 applicants, minimum salary (US)
- Pre-billing filters LinkedIn doesn't offer: exclude companies (staffing agencies, your employer), title must include, title must not include, max applicants
- Full job details: description (text and HTML), applicant count, seniority level, employment type, industries, salary when posted, external apply link
- No login and no cookies. Fast HTTP scraping, no browser

### Input

| Field | Type | What it does |
|---|---|---|
| `keywords` | list | One search per entry, e.g. `data engineer`. Required. |
| `location` | text | City, state, country or `Worldwide`. Default `United States`. |
| `maxResultsPerSearch` | number | Hard cap per keyword (default 100, max 1,000). |
| `postedWithin` | select | `any`, `1h`, `24h`, `week`, `month`. Default `week`. |
| `workplace` | list | `onsite`, `remote`, `hybrid`. |
| `jobType` | list | `fulltime`, `parttime`, `contract`, `temporary`, `internship`, `volunteer`, `other`. |
| `experience` | list | `internship`, `entry`, `associate`, `midsenior`, `director`, `executive`. |
| `easyApplyOnly` | boolean | Only Easy Apply jobs. |
| `under10Applicants` | boolean | LinkedIn's "Under 10 applicants" filter. |
| `minSalary` | select | `40k` to `200k` (US). |
| `sortBy` | select | `recent` or `relevant`. |
| `includeDetails` | boolean | Description, applicants, criteria, apply link (default on). |
| `excludeCompanies` | list | Skip these companies. Never charged. |
| `titleMustInclude` | list | Keep titles containing any of these words. |
| `titleExclude` | list | Drop titles containing any of these words. |
| `maxApplicants` | number | Drop jobs with more applicants than this. |

Example:

```json
{
  "keywords": ["data engineer", "analytics engineer"],
  "location": "United States",
  "postedWithin": "24h",
  "workplace": ["remote"],
  "experience": ["midsenior"],
  "titleExclude": ["intern", "principal"],
  "excludeCompanies": ["jobot", "dice"],
  "maxApplicants": 50,
  "maxResultsPerSearch": 500
}
```

### Output

One row per job:

| Field | Example |
|---|---|
| `jobId`, `jobUrl` | 4465619627, https://www.linkedin.com/jobs/view/... |
| `title` | Data Engineer II |
| `companyName`, `companyUrl`, `companyLogo` | Deloitte, https://www.linkedin.com/company/deloitte |
| `location` | Washington, DC |
| `postedDate`, `postedAgo` | 2026-10-01, 1 day ago |
| `applicantsText`, `applicantsCount` | Be among the first 25 applicants, 25 |
| `seniorityLevel`, `employmentType`, `industries` | Mid-Senior level, Full-time, IT Services |
| `salary` | $120,000.00/yr - $150,000.00/yr (when posted) |
| `description`, `descriptionHtml` | Full job description |
| `applyUrl`, `easyApply` | External apply link, or true for Easy Apply |
| `benefits` | Be an early applicant |
| `searchKeyword`, `searchLocation`, `scrapedAt` | What produced the row |

Export as JSON, CSV or Excel, or pull it through the API, n8n, Make, Zapier or an MCP client.

### Pricing

Pay per event, same price on every Apify plan:

- **$0.005** per run start
- **$0.001 per job** saved ($1.00 per 1,000), full details included

10,000 fresh jobs with descriptions and applicant counts cost about $10. Jobs removed by your filters are free.

### Use cases

- **Job boards and aggregators**: daily feed of fresh postings by role and location
- **Recruiting and staffing sales**: find companies hiring for roles you place, skip competitors' postings
- **Job seekers**: remote roles posted in the last 24 hours with under 50 applicants
- **Labor market research**: hiring volume, seniority mix and salary bands by role
- **AI and LLM data**: clean job descriptions for matching, classification and RAG

### FAQ

**Do I need a LinkedIn account or cookies?**
No. It reads LinkedIn's public job pages only.

**How many jobs can one search return?**
LinkedIn's public search returns up to about 1,000 jobs per query. Split big searches by location or keyword to go further. Duplicates across searches are removed automatically.

**Do I pay for filtered jobs?**
No. Company, title and applicant filters run before anything is saved or charged.

**What makes it different?**
Full job details in every row, filters applied before billing, and one flat price on every Apify plan, free plan included.

**Is salary always included?**
Only when the employer posts it on LinkedIn. Use `minSalary` to restrict to jobs with a posted salary band (US).

**Is scraping LinkedIn jobs legal?**
The actor collects publicly visible job postings without logging in. Check with your counsel for your use case.

# Actor input Schema

## `keywords` (type: `array`):

One LinkedIn job search per entry, e.g. 'data engineer', 'product manager'.

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

City, state, country or 'Worldwide', as you'd type it on LinkedIn.

## `maxResultsPerSearch` (type: `integer`):

Hard cap per keyword. LinkedIn's public search goes up to about 1,000 per query.

## `postedWithin` (type: `string`):

Only jobs posted in this window.

## `workplace` (type: `array`):

Leave empty for all.

## `jobType` (type: `array`):

Leave empty for all.

## `experience` (type: `array`):

Leave empty for all.

## `easyApplyOnly` (type: `boolean`):

Only jobs with LinkedIn Easy Apply.

## `under10Applicants` (type: `boolean`):

LinkedIn's own 'Under 10 applicants' filter. Be first in line.

## `minSalary` (type: `string`):

LinkedIn's US salary filter.

## `sortBy` (type: `string`):

Result order.

## `includeDetails` (type: `boolean`):

Adds full description, applicant count, seniority, employment type, job function, industries and apply link.

## `excludeCompanies` (type: `array`):

Skip jobs from these companies (staffing agencies, your own company). Never charged.

## `titleMustInclude` (type: `array`):

Keep only jobs whose title contains at least one of these words. Never charged otherwise.

## `titleExclude` (type: `array`):

Drop jobs whose title contains any of these words (senior, intern, lead...). Never charged.

## `maxApplicants` (type: `integer`):

Drop jobs with more applicants than this (needs Full job details). Never charged.

## `proxyConfiguration` (type: `object`):

Default Apify proxy works. The actor retries blocked requests on residential automatically.

## Actor input object example

```json
{
  "keywords": [
    "data engineer"
  ],
  "location": "United States",
  "maxResultsPerSearch": 100,
  "postedWithin": "week",
  "workplace": [],
  "jobType": [],
  "experience": [],
  "easyApplyOnly": false,
  "under10Applicants": false,
  "minSalary": "any",
  "sortBy": "recent",
  "includeDetails": true,
  "excludeCompanies": [],
  "titleMustInclude": [],
  "titleExclude": [],
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

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

One row per LinkedIn job that matched your filters, with description, applicant count and criteria.

# 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 = {
    "keywords": [
        "data engineer"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("red.cars/linkedin-jobs-scraper-pro").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 = { "keywords": ["data engineer"] }

# Run the Actor and wait for it to finish
run = client.actor("red.cars/linkedin-jobs-scraper-pro").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 '{
  "keywords": [
    "data engineer"
  ]
}' |
apify call red.cars/linkedin-jobs-scraper-pro --silent --output-dataset

```

## MCP server setup

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

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/zoAURPv2ZXPXOZ0Xh/builds/OSrWufU5VdiWtVUev/openapi.json