# LinkedIn Jobs Scraper — Job Listings, Salaries & Applicants (`jeffev/linkedin-jobs-scraper`) Actor

Scrape public LinkedIn job listings without login or cookies: title, company, location, date, salary, and with details the full description, seniority, employment type, industries and applicant count. Filter by date posted, remote/hybrid, job type and experience level.

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

## Pricing

from $0.56 / 1,000 job listings

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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 — Job Listings, Salaries & Applicants

Scrape **public LinkedIn job listings** without login, cookies or browser: title, company, company page, location, posting date, salary (when shown) and job URL. Turn on **details** to add the **full description, seniority level, employment type, job function, industries and applicant count**.

Use the **same filters as the LinkedIn jobs page**: date posted, remote / hybrid / on-site, job type, experience level and sort order. Or paste a search URL straight from linkedin.com/jobs.

Built for **job boards and aggregators, recruiters and staffing agencies, salary and hiring-trend research, and sales teams** that use hiring as a buying signal.

### Why this one

- **No login, no cookies**: reads LinkedIn's public guest job pages, so your account is never at risk.
- **All the page filters**: date posted, workplace type, job type, experience level, most recent first.
- **Applicant count and seniority** in detailed mode, parsed into numbers where possible (`applicantsCount`).
- **Exclude words from titles** (e.g. "senior", "intern"); skipped jobs are not charged.
- **Duplicates removed** across your searches.

### Input

Remote data analyst jobs in the US posted this week, with details:

```json
{
  "searchQueries": ["data analyst", "analytics engineer"],
  "location": "United States",
  "datePosted": "pastWeek",
  "workplaceTypes": ["remote"],
  "maxJobsPerSearch": 200,
  "includeDetails": true
}
```

Or reuse a search you made on LinkedIn:

```json
{
  "startUrls": ["https://www.linkedin.com/jobs/search/?keywords=react&location=Berlin&f_TPR=r604800&f_WT=2"]
}
```

### Output

| Field | Description |
|---|---|
| `jobId`, `title`, `url` | job |
| `company`, `companyUrl`, `companyLogo` | company |
| `location`, `postedAt`, `postedText`, `salary`, `benefits` | from the results list |
| `description`, `seniority`, `employmentType`, `jobFunction`, `industries` | detailed mode |
| `applicants`, `applicantsCount`, `salaryDetail`, `postedAgo` | detailed mode |
| `search` | which search returned the job |

### Example output

One real item from a test run (long texts and lists shortened):

```json
{
  "type": "job",
  "jobId": "4474775632",
  "title": "Data Analyst II, Customer Reporting",
  "company": "Spring Health",
  "companyUrl": "https://www.linkedin.com/company/spring-health",
  "location": "San Francisco, CA",
  "postedAt": "2026-10-24",
  "postedText": "2 days ago",
  "salary": null,
  "benefits": "Actively Hiring",
  "url": "https://www.linkedin.com/jobs/view/4474775632",
  "companyLogo": "https://media.licdn.com/dms/image/v2/D4E0BAQHZCho81K6g4Q/company-logo_100_100/B4EZW0IMGxH0AQ-/0/1742483800806/spring_health_logo?e=2147483647&v=beta&t=bLDodp...",
  "description": "Our mission: eliminating every barrier to mental health.\nSpring Health is a global mental health company on a mission to eliminate every barrier to mental he...",
  "seniority": "Not Applicable",
  "employmentType": "Full-time",
  "jobFunction": null,
  "industries": "Mental Health Care",
  "applicants": "Over 200 applicants",
  "applicantsCount": 200,
  "salaryDetail": "$106,500.00/yr - $135,000.00/yr",
  "postedAgo": "2 days ago",
  "search": "data analyst"
}
```

### Tips

- LinkedIn shows up to about **1,000 jobs per search**. For more, split by city or region, or narrow with filters.
- Schedule a run every day with **Past 24 hours** to get only new jobs.
- Salary appears only when the employer publishes it (common in the US, rarer elsewhere).

### Feedback

Found a problem or need a field? Open an issue in the **Issues** tab: every issue is read and answered. If the actor helped you, a review on the Store helps a lot.

### How much does it cost?

You pay only for results delivered, at a fixed price per item. **Apify platform usage is included** in that price, so there are no compute costs on top. Errors and items that couldn't be found are free.

| What you get | Price | Example |
|---|---|---|
| Job with details | $0.002 each | 1,000 jobs with details = $2.00 |
| Job listing | $0.0008 each | 1,000 job listings = $0.80 |

The Apify **Free plan includes $5 of monthly credit**, enough for about **2,500 jobs with details** per month at no cost. You can also set a maximum spend per run.

On paid Apify plans it gets cheaper automatically: **10% off on Starter, 20% on Scale and 30% on Business**.

# Actor input Schema

## `searchQueries` (type: `array`):

One search per line (e.g. 'data analyst', 'react developer', 'nurse').

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

Country, state or city as you would type it on LinkedIn (e.g. 'Germany', 'London', 'São Paulo'). Empty = worldwide.

## `maxJobsPerSearch` (type: `integer`):

LinkedIn shows up to about 1,000 jobs per search. For more, split by location or add filters.

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

Open each job for the full description, seniority, employment type, job function, industries and applicant count.

## `datePosted` (type: `string`):

Only jobs posted in this period.

## `workplaceTypes` (type: `array`):

Keep only these workplace types.

## `jobTypes` (type: `array`):

Keep only these job types.

## `experienceLevels` (type: `array`):

Keep only these experience levels.

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

Order of the results.

## `excludeTitleKeywords` (type: `array`):

Skip jobs whose title contains any of these words (e.g. 'senior', 'intern'). Skipped jobs are not charged.

## `startUrls` (type: `array`):

Job search URLs copied from linkedin.com/jobs/search (keywords, location and filters are read from the URL).

## Actor input object example

```json
{
  "searchQueries": [
    "data analyst"
  ],
  "location": "United States",
  "maxJobsPerSearch": 50,
  "includeDetails": false,
  "datePosted": "any",
  "sortBy": "relevance"
}
```

# Actor output Schema

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

LinkedIn job listings.

# 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 = {
    "searchQueries": [
        "data analyst"
    ],
    "location": "United States",
    "maxJobsPerSearch": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("jeffev/linkedin-jobs-scraper").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 = {
    "searchQueries": ["data analyst"],
    "location": "United States",
    "maxJobsPerSearch": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("jeffev/linkedin-jobs-scraper").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 '{
  "searchQueries": [
    "data analyst"
  ],
  "location": "United States",
  "maxJobsPerSearch": 50
}' |
apify call jeffev/linkedin-jobs-scraper --silent --output-dataset

```

## MCP server setup

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

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/e4KqUJKhnMb6zkFSy/builds/j0hHe25q0tCz2TLBG/openapi.json