# LinkedIn Jobs Scraper - Job Listings with Full Description (`datasignalslab/linkedin-jobs-scraper`) Actor

Scrape LinkedIn job listings by keyword and location, or paste LinkedIn job search URLs. Title, company, location and date as clean JSON. Optional full description, seniority, employment type and applicant count. From $0.50 per 1,000 jobs, no login, no cookies.

- **URL**: https://apify.com/datasignalslab/linkedin-jobs-scraper.md
- **Developed by:** [DataSignals Lab](https://apify.com/datasignalslab) (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 job returneds

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: job listings by keyword and location, with full descriptions

Get the job listings behind any LinkedIn job search as clean JSON: title, company, location and posting date. Tick one box to add the full job description, seniority level, employment type, job function, industry and the number of applicants. Search by keyword and location, or set your filters on LinkedIn in the browser and paste the URL of the result page.

No login, no cookies, no API key, no proxy setup. It reads the public job pages LinkedIn shows to visitors who are not signed in, so your own LinkedIn account is never involved.

**Run it with the default input to see it work.** It returns the newest data engineer jobs in the United States.

### What you get

One row per job:

| field | meaning |
|---|---|
| `job_id` | LinkedIn's id for the job, stable across runs |
| `title` | Job title |
| `company` | Hiring company |
| `company_url` | The company's LinkedIn page |
| `company_logo` | URL of the company logo |
| `location` | Location as posted |
| `date_posted` | Posting date, YYYY-MM-DD |
| `posted_ago` | Relative age as LinkedIn shows it |
| `badge` | LinkedIn's label on the card, for example Actively Hiring or Be an early applicant |
| `url` | Link to the job on LinkedIn |
| `search_url` | The LinkedIn search this job came from |
| `description` | Full job description as plain text. Only with includeDescription |
| `seniority_level` | For example Entry level or Mid-Senior level. Only with includeDescription |
| `employment_type` | For example Full-time or Contract. Only with includeDescription |
| `job_function` | For example Engineering and Information Technology. Only with includeDescription |
| `industries` | Industry of the company. Only with includeDescription |
| `applicants` | Number of applicants LinkedIn shows. Only with includeDescription |

Example row:

```json
{
  "job_id": "4464465707",
  "title": "Senior Data Engineer",
  "company": "General Motors",
  "company_url": "https://www.linkedin.com/company/general-motors",
  "company_logo": null,
  "location": "Warren, MI",
  "date_posted": "2026-10-04",
  "posted_ago": "7 hours ago",
  "badge": "Actively Hiring",
  "url": "https://www.linkedin.com/jobs/view/senior-data-engineer-at-general-motors-4464465707",
  "search_url": "https://www.linkedin.com/jobs/search?keywords=data+engineer&location=United+States&sortBy=DD",
  "description": "We are looking for a data engineer who...",
  "seniority_level": "Mid-Senior level",
  "employment_type": "Full-time",
  "job_function": "Engineering and Information Technology",
  "industries": "Motor Vehicle Manufacturing",
  "applicants": 171
}
```

### Input

| field | what it does |
|---|---|
| `queries` | search terms, one per line |
| `locations` | optional, a city, region or country per line. Each term is searched in each location |
| `startUrls` | optional, LinkedIn job search URLs copied from the browser, with your filters |
| `postedWithin` | `any` (default), `24h`, `week` or `month` |
| `sort` | `date` (default, newest first) or `relevance` |
| `jobTypes` | optional: `full-time`, `part-time`, `contract`, `temporary`, `internship` |
| `workplace` | optional: `on-site`, `remote`, `hybrid` |
| `experienceLevels` | optional: `internship`, `entry`, `associate`, `mid-senior`, `director`, `executive` |
| `maxJobsPerSearch` | cap per search, default 100, max 1,000 |
| `maxJobs` | hard stop across the run, also your budget cap |
| `includeDescription` | adds the description and detail fields, charged per description |

Minimal input:

```json
{ "queries": ["data engineer"], "locations": ["United States"] }
```

New remote jobs of the past 24 hours in three countries, with descriptions:

```json
{ "queries": ["python developer"], "locations": ["Germany", "Netherlands", "United Kingdom"], "postedWithin": "24h", "workplace": ["remote"], "includeDescription": true }
```

### Pricing

Pay per result, two events:

- **$0.50 per 1,000 jobs** for every job row in the dataset.
- **$0.50 per 1,000 descriptions** on top, only with `includeDescription` and only for rows where the description was actually retrieved.

A job with its full description costs $0.001. No start fee. Searches that fail cost nothing. Apify's free monthly credit covers thousands of jobs, so you can evaluate without paying.

#### Subscriptions and shared agent access

Scored signals from SEC, FDA, Congress and other official filings. The daily output is hashed and anchored, so past signals cannot be edited. Agents call it over MCP. [See the track record](https://datasignalslab.com/proof.html)

Every score in every report lists the terms it was built from, so you can check the number instead of trusting it.

This Actor is part of [DataSignals Lab](https://datasignalslab.com). It does not feed the signal reports. The plans below cover those and the shared MCP access. All prices are listed on the [pricing page](https://datasignalslab.com/pricing.html):

- **Free.** Report previews, a weekly signal digest and 50 free MCP calls per month for AI agents.
- **Snapshot, $19 one time.** The current edition of one report plus 30 days of updates.
- **DataSignals Pro, $29 per month or $290 per year.** All three reports refreshed monthly, MCP access for AI agents (2000 calls per month fair use), email alerts. Cancel anytime.

### Who uses this

- Recruiters and staffing agencies tracking which companies hire for a role in a region.
- Sales teams using fresh job posts as a buying signal: a company hiring five SAP consultants has a project.
- Labour market researchers who need a daily count per role and region.
- Job boards and aggregators that want fresh listings with the description.
- AI agents that answer "who is hiring data engineers in Berlin this week" from live data.

Need jobs straight from company career sites instead of a job board? See [Job Search API](https://apify.com/datasignalslab/job-search-api). For other boards see [Indeed Jobs Scraper](https://apify.com/datasignalslab/indeed-jobs-scraper) and [Stepstone Jobs Scraper](https://apify.com/datasignalslab/stepstone-jobs-scraper).

### Limits and honesty

- LinkedIn shows at most 1,000 jobs per search without a login. For more, split the search by location, job type or period.
- There is no separate salary field and no external apply link. LinkedIn does not show those to visitors who are not signed in. A salary appears in the description when the employer wrote it there.
- `job_function` and `seniority_level` are empty or "Not Applicable" when the employer did not set them.
- Company pages, people and posts are out of scope. This Actor returns jobs only.
- To track new jobs over time, run it on a schedule with `postedWithin` set to `24h` and de-duplicate on `job_id`.

### Integrations

Works with the Apify API, scheduled runs, webhooks, and the Apify MCP server, so Claude, ChatGPT and other agents can call it as a tool. Export to JSON, CSV, Excel or push into Google Sheets.

### Support

Issues tab on this page, or support@datasignalslab.com. Built and maintained by [DataSignals Lab](https://datasignalslab.com).

# Actor input Schema

## `queries` (type: `array`):

One per line, for example a job title or a skill. Each term is searched in each location below.

## `locations` (type: `array`):

Optional, one per line: a city, region or country as you would type it on LinkedIn. Each search term is run once per location, so 3 terms and 10 locations are 30 searches.

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

Optional. Set your filters on linkedin.com/jobs in the browser and paste the URL of the result page. Can be combined with search terms.

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

Only jobs posted in this period.

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

Newest first is the right choice for scheduled monitoring.

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

Optional. Leave empty for all.

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

Optional. Leave empty for all.

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

Optional. Leave empty for all.

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

LinkedIn shows at most 1,000 jobs per search without a login.

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

Hard stop across all searches, also your budget cap. 0 means no limit.

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

Adds the full job description, seniority level, employment type, job function, industries and applicant count. Charged per description on top of the job.

## Actor input object example

```json
{
  "queries": [
    "data engineer"
  ],
  "locations": [
    "United States"
  ],
  "postedWithin": "any",
  "sort": "date",
  "maxJobsPerSearch": 100,
  "maxJobs": 0,
  "includeDescription": false
}
```

# Actor output Schema

## `jobs` (type: `string`):

All jobs from this run as JSON, one object per job.

## `jobsCsv` (type: `string`):

The same jobs as a CSV download.

# 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 = {
    "queries": [
        "data engineer"
    ],
    "locations": [
        "United States"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("datasignalslab/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 = {
    "queries": ["data engineer"],
    "locations": ["United States"],
}

# Run the Actor and wait for it to finish
run = client.actor("datasignalslab/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 '{
  "queries": [
    "data engineer"
  ],
  "locations": [
    "United States"
  ]
}' |
apify call datasignalslab/linkedin-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,datasignalslab/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/WWWYJch71rTOotpQo/builds/NeAbzwnSkei7j1zo3/openapi.json