# LinkedIn Job Scraper (`data-slayer/linkedin-job-scraper`) Actor

Fetch full details for LinkedIn job postings by job ID or URL - title, description, salary, seniority, workplace type, apply counts and the hiring company. No cookies.

- **URL**: https://apify.com/data-slayer/linkedin-job-scraper.md
- **Developed by:** [Data Slayer](https://apify.com/data-slayer) (community)
- **Categories:** Jobs, Lead generation, Social media
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $4.00 / 1,000 job postings

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 Job Scraper

Fetch full details for one or many LinkedIn job postings by job ID or job URL — title, description, salary, seniority, workplace type, apply counts and the hiring company — and export structured JSON, CSV or Excel.

**Cookieless · Fresh data · No LinkedIn login or account risk.**

### Watch the demo

Video tutorial coming soon.

### What you get

Each result is one job posting and can include:

- job title and LinkedIn's standardized title
- full description as plain text and as HTML
- location, country code and workplace type (onsite, remote, hybrid)
- employment status, experience level and seniority level
- industries and job functions
- listing, expiry and closing timestamps, plus a relative "posted time ago" label
- salary range and period when the posting publishes one
- apply counts, view counts, application URL and whether it is Easy Apply
- the hiring company (`company_info`): name, description, staff count, industries, specialties, headquarters, website, LinkedIn URL, logo, follower count and company size
- the job poster and recruiters (`hiring_team`) when you enable that option

Field availability depends on what the posting publishes. Empty or unavailable values are returned as `null`.

Output example:

```json
{
  "title": "Generative AI Engineer",
  "standardized_title": "Generative AI Engineer",
  "job_posting_id": "4443378596",
  "job_url": "https://www.linkedin.com/jobs/view/4443378596",
  "description": "HCLTech Exclusive Walk-In Drive | AIML Developer ...",
  "location": "Noida, Uttar Pradesh, India",
  "country_code": "in",
  "workplace_types": ["ONSITE"],
  "employment_status": "Full-time",
  "experience_level": "Associate",
  "seniority_level": "Associate",
  "industries": ["IT Services and IT Consulting"],
  "job_functions": ["Engineering", "Research"],
  "listed_at": "2026-07-21T13:36:54Z",
  "posted_time_ago": "3 weeks ago",
  "is_remote_allowed": false,
  "total_applies": 0,
  "total_views": 0,
  "application_url": "https://www.linkedin.com/job-apply/4443378596",
  "is_easy_apply": true,
  "company_info": {
    "name": "HCLTech",
    "staff_count": 257915,
    "industries": ["IT Services and IT Consulting"],
    "universal_name": "hcltech",
    "url": "https://www.linkedin.com/company/hcltech",
    "company_size": "10001+",
    "followers": 9571613
  },
  "input_index": 0,
  "input_value": "4443378596",
  "fetched_at": "2026-09-23T00:00:00Z"
}
```

The exact dataset can contain additional fields.

### Input

| Field | Type | Description |
|---|---|---|
| `job_ids_or_urls` | `string[]` | LinkedIn job IDs or job URLs, one per row (required) |
| `include_hiring_team` | `boolean` | Adds the job poster and listed recruiters (default `false`) |

Example:

```json
{
  "job_ids_or_urls": [
    "4443378596",
    "https://www.linkedin.com/jobs/view/4443378596"
  ],
  "include_hiring_team": false
}
```

### How to use it

1. Paste one or many job IDs or job URLs into **LinkedIn Job IDs or URLs**.
2. Optionally enable **Include hiring team**.
3. Click **Start**.
4. Download the default dataset as JSON, CSV, Excel, XML or another Apify export format.

Supported inputs include `linkedin.com/jobs/view/4443378596`, LinkedIn's full job URLs that embed the posting ID, `linkedin.com/jobs/search/?currentJobId=4443378596`, and a bare numeric ID such as `4443378596`. Duplicate inputs are removed automatically and postings are processed concurrently.

### Use cases

- **Recruiting and talent intelligence** — turn job IDs into structured postings with seniority, skills and salary context for market and compensation research.
- **Sales and territory research** — detect which companies are hiring for which roles, and use that as a buying signal for outbound.
- **Job-board and aggregator enrichment** — enrich a list of LinkedIn job URLs with full descriptions, apply counts and company data before publishing or scoring.
- **AI-agent context** — give an agent structured job context before screening, matching or summarization workflows.

### Pricing

The actor costs **$4 per 1,000 job results** (`$0.004` per posting). Enabling **Include hiring team** adds **$4 per 1,000 results**, charged only when the hiring-team section is returned.

### Integrations

Run the actor from Apify Console or call it programmatically through the Apify API. Results are stored in the default Apify dataset and can feed:

- HubSpot, Salesforce and other CRMs
- Clay, Make, Zapier, n8n and webhooks
- Google Sheets, Airtable, databases and data warehouses
- recruiting, talent-intelligence and job-board pipelines
- Apify MCP Server and MCP-compatible AI agents

Use schedules to refresh important postings automatically, or trigger runs from your application when a job ID needs details.

### Other LinkedIn Actors by data-slayer

| Actor | What it does |
|---|---|
| [LinkedIn Job Change Tracker](https://apify.com/data-slayer/linkedin-job-change-tracker) | People who recently changed jobs |
| [LinkedIn People Search (ICP)](https://apify.com/data-slayer/linkedin-people-search) | Find people by title, seniority, function, company, location |
| [LinkedIn Company Search (ICP)](https://apify.com/data-slayer/linkedin-company-search) | Find companies by industry, size, location and tech stack |
| [LinkedIn Company Employees](https://apify.com/data-slayer/linkedin-company-employees) | Employees at a company, filtered by title, seniority and function |
| [LinkedIn Profile Scraper](https://apify.com/data-slayer/linkedin-profile-scraper) | Full profile data from any LinkedIn profile URL |
| [LinkedIn Profile Posts Scraper](https://apify.com/data-slayer/linkedin-profile-posts-scraper) | Recent posts from a profile, with engagement metrics |
| [LinkedIn Company Scraper](https://apify.com/data-slayer/linkedin-company-scraper) | Full company profile data |
| [LinkedIn Company Posts Scraper](https://apify.com/data-slayer/linkedin-company-posts-scraper) | Recent posts from any company page |
| [LinkedIn Post Performance Scraper](https://apify.com/data-slayer/linkedin-post-analytics-scraper) | Likes, comments, shares and reaction breakdown for any post |
| [LinkedIn Post Engagers Scraper](https://apify.com/data-slayer/linkedin-post-engagers-email-finder-no-cookies) | Everyone who engaged with a post — commenters, reactors, reposters |
| [LinkedIn Post Comments Scraper](https://apify.com/data-slayer/linkedin-post-comments) | Every comment on a post, with commenter profiles |
| [LinkedIn Post Reactions Scraper](https://apify.com/data-slayer/linkedin-post-reactions) | Everyone who reacted to a post, with reactor profiles |
| [LinkedIn Post Reposts Scraper](https://apify.com/data-slayer/linkedin-post-reposts) | Everyone who reposted or shared a post |
| [LinkedIn Profile Engagers Scraper](https://apify.com/data-slayer/linkedin-audience-email-finder-no-cookies) | Everyone who engaged across a profile's recent posts, ranked by engagement |
| [LinkedIn Profile Reactions Scraper](https://apify.com/data-slayer/linkedin-profile-reactions) | Reactions a profile left on other people's posts |
| [LinkedIn Profile Comments Scraper](https://apify.com/data-slayer/linkedin-profile-comments) | Comments a profile left on other people's posts |

### Which LinkedIn actor should I use?

| I have… | And I want… | Use |
|---|---|---|
| A job URL or ID | Full job details | LinkedIn Job Scraper |
| A company URL | People who recently changed jobs | LinkedIn Job Change Tracker |
| Search filters | People matching an ICP | LinkedIn People Search (ICP) |
| Search filters | Companies matching an ICP | LinkedIn Company Search (ICP) |
| A company URL | Its employees, by title/seniority/function | LinkedIn Company Employees |
| Profile URL(s) | Full profile data | LinkedIn Profile Scraper |
| A company URL | Full company profile | LinkedIn Company Scraper |

### FAQ

#### Can I scrape LinkedIn jobs without login or cookies?

Yes. Paste public job IDs or job URLs. The actor does not require your LinkedIn account, session cookies or a browser extension.

#### Can I scrape LinkedIn jobs in bulk?

Yes. Add multiple IDs or URLs to `job_ids_or_urls`. Duplicates are removed automatically and postings are processed concurrently.

#### Does it accept a bare job ID?

Yes. A numeric ID such as `4443378596` is accepted directly, as are the common LinkedIn job URL formats.

#### Is this a LinkedIn jobs API?

Yes. You can call the actor through the Apify API, receive a run ID and retrieve structured results from the default dataset.

#### Can AI agents use this LinkedIn job scraper?

Yes. Add the actor to Apify MCP Server or call it through the Apify API from an agent workflow.

#### How much does it cost?

`$0.004` per job result — **$4 per 1,000 jobs**. The optional hiring-team section adds `$0.004` per result, charged only when returned.

### Limits and data notes

- Only submit postings you are permitted to process and use the data in compliance with applicable laws and platform terms.
- A posting that is closed, removed or unavailable may return a failure row with a status and message.
- Very large batches depend on your Apify account limits, run timeout and maximum charge settings.

### Feedback and support

Found a bug or need a field added? Open an issue on the actor's Apify page and it will be reviewed.

### Related actors

More from the same portfolio. Apify only auto-recommends actors in the same category, so here are the rest of ours:

| Actor | What it does |
|---|---|
| [LinkedIn Account Intent Feed](https://apify.com/data-slayer/linkedin-account-intent-feed) | LinkedIn workflow |
| [LinkedIn Buying-Committee Mapper](https://apify.com/data-slayer/linkedin-buying-committee-mapper) | LinkedIn workflow |
| [LinkedIn Champion Tracker](https://apify.com/data-slayer/linkedin-champion-job-change-tracker) | LinkedIn workflow |
| [LinkedIn Company Employees](https://apify.com/data-slayer/linkedin-company-employees) | LinkedIn workflow |
| [LinkedIn Company Posts Scraper](https://apify.com/data-slayer/linkedin-company-posts-scraper) | LinkedIn workflow |
| [LinkedIn Company Scraper](https://apify.com/data-slayer/linkedin-company-scraper) | LinkedIn workflow |
| [LinkedIn Company Search (ICP)](https://apify.com/data-slayer/linkedin-company-search) | LinkedIn workflow |
| [LinkedIn Competitor Content Intelligence](https://apify.com/data-slayer/linkedin-competitor-content-intelligence) | LinkedIn workflow |
| [LinkedIn Competitor Hijack Leads](https://apify.com/data-slayer/linkedin-competitor-hijack-leads) | LinkedIn workflow |
| [LinkedIn Engagement Audience Builder](https://apify.com/data-slayer/linkedin-engagement-audience-builder) | LinkedIn workflow |
| [LinkedIn Executive Post Monitor](https://apify.com/data-slayer/linkedin-executive-post-monitor) | LinkedIn workflow |
| [LinkedIn Hiring Pulse](https://apify.com/data-slayer/linkedin-hiring-pulse) | LinkedIn workflow |
| [LinkedIn Job Change Tracker](https://apify.com/data-slayer/linkedin-job-change-tracker) | LinkedIn workflow |
| [LinkedIn Market Map Builder](https://apify.com/data-slayer/linkedin-market-map-builder) | LinkedIn workflow |
| [LinkedIn People Search (ICP)](https://apify.com/data-slayer/linkedin-people-search) | LinkedIn workflow |
| [LinkedIn Post Comments](https://apify.com/data-slayer/linkedin-post-comments) | LinkedIn workflow |
| [LinkedIn Post Engagers Scraper](https://apify.com/data-slayer/linkedin-post-engagers-email-finder-no-cookies) | LinkedIn workflow |
| [LinkedIn Post Performance Scraper](https://apify.com/data-slayer/linkedin-post-analytics-scraper) | LinkedIn workflow |
| [LinkedIn Post Reactions](https://apify.com/data-slayer/linkedin-post-reactions) | LinkedIn workflow |
| [LinkedIn Post Reposts](https://apify.com/data-slayer/linkedin-post-reposts) | LinkedIn workflow |
| [LinkedIn Profile Comments](https://apify.com/data-slayer/linkedin-profile-comments) | LinkedIn workflow |
| [LinkedIn Profile Engagers Scraper](https://apify.com/data-slayer/linkedin-audience-email-finder-no-cookies) | LinkedIn workflow |
| [LinkedIn Profile Posts Scraper](https://apify.com/data-slayer/linkedin-profile-posts-scraper) | LinkedIn workflow |
| [LinkedIn Profile Reactions](https://apify.com/data-slayer/linkedin-profile-reactions) | LinkedIn workflow |
| [LinkedIn Profile Scraper · Fresh · No Cookies](https://apify.com/data-slayer/linkedin-profile-scraper) | LinkedIn workflow |
| [LinkedIn Skill Mapper](https://apify.com/data-slayer/linkedin-skill-mapper) | LinkedIn workflow |
| [LinkedIn Talent Flow Mapper](https://apify.com/data-slayer/linkedin-talent-flow-mapper) | LinkedIn workflow |
| [LinkedIn Talent Mapper](https://apify.com/data-slayer/linkedin-talent-mapper) | LinkedIn workflow |
| [LinkedIn Warm Path Finder](https://apify.com/data-slayer/linkedin-warm-path-finder) | LinkedIn workflow |
| [LinkedIn Why-Now Account Brief](https://apify.com/data-slayer/linkedin-why-now-account-brief) | LinkedIn workflow |

# Actor input Schema

## `job_ids_or_urls` (type: `array`):

Required. Add 1-1,000 LinkedIn job posting IDs (e.g. 4443378596) or job URLs (linkedin.com/jobs/view/..., .../jobs/view/slug-at-company-<id>, or .../jobs/search/?currentJobId=<id>). The posting ID is extracted automatically. Duplicates are removed.

## `include_hiring_team` (type: `boolean`):

Adds the job poster and any recruiters listed on the posting (name, headline, profile URL, photo). Billed at $4 per 1,000 results, charged only when the hiring-team section is returned.

## Actor input object example

```json
{
  "job_ids_or_urls": [
    "4443378596"
  ],
  "include_hiring_team": false
}
```

# Actor output Schema

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

One dataset item per job posting.

## `run_summary` (type: `string`):

Per-run status and per-job outcome.

# 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 = {
    "job_ids_or_urls": [
        "4443378596"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("data-slayer/linkedin-job-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 = { "job_ids_or_urls": ["4443378596"] }

# Run the Actor and wait for it to finish
run = client.actor("data-slayer/linkedin-job-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 '{
  "job_ids_or_urls": [
    "4443378596"
  ]
}' |
apify call data-slayer/linkedin-job-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,data-slayer/linkedin-job-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/IDMq4ltXyBuvYggJp/builds/DaMsfHzaMmyjQaTVg/openapi.json