# LinkedIn Jobs Scraper - Public Job Postings, No Login (`leadharbor/linkedin-jobs-scraper`) Actor

Scrape public LinkedIn job postings by keyword and location. No login, no cookies, no proxy. Returns title, company, location, seniority, employment type, posted date and apply URL. For recruiters, job boards and sales teams treating hiring as a buying signal.

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

## Pricing

from $1.00 / 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?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## LinkedIn Jobs Scraper

Scrape LinkedIn job postings by **keyword** and **location** — title, company,
location, posted date, salary (when shown), URL, and optional full detail
(description, seniority, employment type, job function, industries,
applicant count). No browser: it talks to LinkedIn's own public guest jobs
API (the endpoint linkedin.com/jobs itself calls for "see more jobs"
pagination), the same one used for the diagnostic probe that confirmed this
approach.

**Price: $1 per 1,000 jobs, +$1 per 1,000 detail fetches.** Rows are
de-duplicated by job ID across every keyword in one run.

### Honest limits

This actor uses **no cookies, no login, and no proxies** — plain HTTP
requests against LinkedIn's guest API. LinkedIn may throttle or block large
or repeated runs from a single IP; if that happens the actor detects it
(status 429/403/999 or an "authwall" response body) and stops gracefully
after 5 consecutive blocked requests, keeping whatever rows it already
collected rather than retrying forever. Treat it as best-effort, not a
guaranteed-reliable feed for large volumes.

### Who it's for

- Recruiting and staffing agencies tracking new postings in a market
- Market research — what roles/employers are hiring, by city
- Lead generation — companies actively hiring signal budget and growth

### Inputs

| Field | What it does |
|---|---|
| `keywords` | Search terms, one per line (required) |
| `location` | Location to search (default `United Arab Emirates`) |
| `maxJobsPerKeyword` | Cap per keyword (default 100, max 1000) |
| `datePosted` | `any` / `day` / `week` / `month` |
| `jobType` | `any` / `fulltime` / `parttime` / `contract` / `internship` |
| `remote` | `any` / `onsite` / `remote` / `hybrid` |
| `fetchDetails` | Fetch full description + criteria per job (extra charge) |

#### Example input

```json
{
  "keywords": ["nurse", "chef"],
  "location": "Dubai",
  "maxJobsPerKeyword": 100,
  "datePosted": "week",
  "fetchDetails": false
}
```

### Output

One row per job:

```json
{
  "jobId": "3912345678",
  "title": "Registered Nurse",
  "company": "Example Medical Center",
  "companyUrl": "https://www.linkedin.com/company/example-medical-center",
  "location": "Dubai, United Arab Emirates",
  "postedText": "2 days ago",
  "postedAt": "2026-09-13T00:00:00.000Z",
  "salaryText": null,
  "url": "https://www.linkedin.com/jobs/view/3912345678",
  "keyword": "nurse",
  "searchLocation": "Dubai"
}
```

With `fetchDetails: true`, rows also get `description`, `seniorityLevel`,
`employmentType`, `jobFunction`, `industries`, `applicantsText`, `scrapedAt`.

### How it works

LinkedIn's public jobs pages call
`https://www.linkedin.com/jobs-guest/jobs/api/seeMoreJobPostings/search`
with `keywords`, `location`, `start` (25 results per page) and filter params
(`f_TPR` date posted, `f_JT` job type, `f_WT` workplace type) to lazily load
more cards — no login required. This actor calls that same endpoint directly
and parses the returned HTML fragment with `cheerio`. Job detail pages come
from the equivalent `jobPosting/<id>` guest endpoint. Concurrency 3, 1s delay
per request, retries with exponential backoff on 429/5xx/999.

### Our other actors

- [Google Maps Verified Email Scraper](https://apify.com/leadharbor/google-maps-verified-email-scraper)
- [Bulk Email Verifier](https://apify.com/leadharbor/bulk-email-verifier)
- [Airbnb Listings Scraper](https://apify.com/leadharbor/airbnb-listings-scraper)
- [Website Contact Extractor](https://apify.com/leadharbor/website-contact-extractor)
- [YouTube Video Scraper](https://apify.com/leadharbor/youtube-video-scraper)

***

Using this actor? A quick review helps other buyers find it: [linkedin-jobs-scraper](https://apify.com/leadharbor/linkedin-jobs-scraper)

# Actor input Schema

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

Job search terms, one per line, e.g. "nurse", "software engineer".

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

Location to search, e.g. a city or country as you'd type it into LinkedIn's jobs search box.

## `maxJobsPerKeyword` (type: `integer`):

How many job postings to collect per keyword (25 per page, paginates until this cap or an empty page).

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

Restrict to postings within this window.

## `jobType` (type: `string`):

Restrict to this employment type.

## `remote` (type: `string`):

Restrict to on-site, remote, or hybrid postings.

## `fetchDetails` (type: `boolean`):

For each unique job, also fetch its full description, seniority level, employment type, job function, industries and applicant count. Slower and costs an extra charge per job.

## Actor input object example

```json
{
  "keywords": [
    "nurse"
  ],
  "location": "United Arab Emirates",
  "maxJobsPerKeyword": 100,
  "datePosted": "any",
  "jobType": "any",
  "remote": "any",
  "fetchDetails": false
}
```

# Actor output Schema

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

One row per job posting: title, company, location, posted date, URL, plus optional detail fields.

## `resultsUi` (type: `string`):

No description

# 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": [
        "nurse"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("leadharbor/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 = { "keywords": ["nurse"] }

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

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,leadharbor/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/Og8zSNfFYdCRp3tUR/builds/v7y3HejUdA7Wp4mZb/openapi.json