# LinkedIn Jobs Scraper - $0.50/1000 Jobs (`scrapeunblocker/linkedin-jobs-scraper`) Actor

Scrape LinkedIn job postings as JSON: title, company, location, posted date, job URL and company logo, with filters for date posted, remote/hybrid/onsite, job type, experience and salary. No LinkedIn login. Powered by ScrapeUnblocker.

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

## Pricing

from $0.50 / 1,000 jobs

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

Scrape **LinkedIn job postings** as clean, structured JSON - title, company, location, posted date, a direct job URL and the company logo, with LinkedIn's own filters for date posted, workplace type, job type, experience level and salary. No LinkedIn login, no API key from LinkedIn.

Powered by [ScrapeUnblocker](https://scrapeunblocker.com)'s anti-bot bypass - no proxies or CAPTCHA setup.

### What you get per job

- **Title**, **company** and a clean **company URL**
- **Location** and **posted date** (both an ISO date and "2 days ago")
- Stable **jobId** and a canonical **job URL**
- **Company logo** and benefit tags (e.g. "Actively Hiring")
- With *Include full description* on: the full **description**, **seniority level**, **employment type**, **job function** and **industries**, plus **applicant** count and salary when shown

### Use cases

- **Recruiting & sourcing** - pull every fresh opening for a role and location into a spreadsheet or ATS, deduped by `jobId`.
- **Job-market intelligence** - track hiring volume, remote vs on-site mix, seniority and salary bands across companies or cities over time.
- **Competitor hiring signals** - watch which roles a competitor is opening and where they are expanding.
- **ATS / job-board feeds** - keep an internal board or newsletter fresh with a scheduled run and the built-in date-posted filter.
- **Lead generation** - companies actively hiring for a stack are buyers for tools around that stack.

### Features

- **LinkedIn's real filters** - date posted (24h / week / month), workplace (on-site / remote / hybrid), job type, experience level and minimum salary band.
- **Automatic pagination** - set `max_results` and the scraper pages through LinkedIn's guest jobs API until it collects that many, deduping as it goes.
- **Optional full descriptions** - flip on *Include full description* to enrich each job with its description and criteria.
- **Any market** - a location string like `United States`, `Berlin, Germany` or `Remote`.

### Input

| Field | Type | Default | Description |
|-------|------|---------|-------------|
| `keyword` | string | **required** | Job search terms, e.g. `python developer`. |
| `location` | string | United States | Location text, or blank for worldwide. |
| `max_results` | integer | 50 | How many jobs to collect across pages. |
| `time_posted` | select | Any | `24h`, `week` or `month`. |
| `workplace` | select | Any | `onsite`, `remote` or `hybrid`. |
| `job_type` | select | Any | full-time, part-time, contract, temporary, internship, volunteer, other. |
| `experience` | select | Any | internship, entry, associate, mid-senior, director, executive. |
| `salary` | select | Any | Minimum base salary band, `40k` ... `200k`. |
| `sort` | select | LinkedIn default | `relevant` or `recent`. |
| `enrich` | boolean | false | Also fetch each job's full description + criteria (first 25). |
| `proxy_country` | string | - | Exit-IP country (ISO-2), or blank to let the API pick. |

### Example output (one dataset item)

```json
{
  "jobId": "4431992044",
  "title": "Python Developer",
  "company": "CACI International Inc",
  "companyUrl": "https://www.linkedin.com/company/caci-international-inc",
  "location": "Chantilly, VA",
  "postedDate": "2026-07-08",
  "postedText": "2 months ago",
  "jobUrl": "https://www.linkedin.com/jobs/view/4431992044/",
  "companyLogo": "https://media.licdn.com/dms/image/.../caci_international_inc_logo",
  "benefits": ["Actively Hiring"]
}
```

With *Include full description* on, each item also carries `description`, `seniorityLevel`, `employmentType`, `jobFunction`, `industries`, `applicants` and `salary` (when shown).

### Output

Every job is pushed as one dataset item. Export the dataset as JSON, CSV, Excel or feed it straight into your own pipeline via the Apify API.

Powered by ScrapeUnblocker.

# Actor input Schema

## `keyword` (type: `string`):

Job search terms, e.g. 'python developer' or 'product manager'.

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

Location text, e.g. 'United States', 'London, United Kingdom' or 'Remote'. Leave blank for worldwide.

## `max_results` (type: `integer`):

How many job postings to collect across pages.

## `time_posted` (type: `string`):

Only jobs posted within this window.

## `workplace` (type: `string`):

On-site, remote or hybrid.

## `job_type` (type: `string`):

Employment type.

## `experience` (type: `string`):

Seniority level.

## `salary` (type: `string`):

Minimum base salary band (US$).

## `sort` (type: `string`):

Result ordering.

## `enrich` (type: `boolean`):

Also fetch each job's full description, seniority, employment type, job function and industries (slower; capped at the first 25 jobs).

## `proxy_country` (type: `string`):

Exit-IP country (ISO-2, e.g. 'us', 'gb'). Leave blank to let the API pick.

## Actor input object example

```json
{
  "keyword": "python developer",
  "location": "United States",
  "max_results": 50,
  "time_posted": "",
  "workplace": "",
  "job_type": "",
  "experience": "",
  "salary": "",
  "sort": "",
  "enrich": false,
  "proxy_country": ""
}
```

# Actor output Schema

## `items` (type: `string`):

Collected job postings

# 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 = {
    "keyword": "python developer",
    "location": "United States"
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapeunblocker/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 = {
    "keyword": "python developer",
    "location": "United States",
}

# Run the Actor and wait for it to finish
run = client.actor("scrapeunblocker/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 '{
  "keyword": "python developer",
  "location": "United States"
}' |
apify call scrapeunblocker/linkedin-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapeunblocker/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/5iimcD6hnyshEL6hp/builds/GlFkQ22o6Xr0YM1cn/openapi.json