# LinkedIn Job Details from URL — Free, No Login (`northbell/linkedin-job-detail-scraper`) Actor

Paste LinkedIn job URLs (or IDs) and get each posting as structured JSON — title, company, location, seniority, employment type, industries, full description, and whether it has closed. Free. No login, no cookies.

- **URL**: https://apify.com/northbell/linkedin-job-detail-scraper.md
- **Developed by:** [Northbell](https://apify.com/northbell) (community)
- **Categories:** Jobs, Developer tools
- **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-usage

## 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 Job Details from URL — Free, No Login

Paste LinkedIn job URLs and get each posting back as **structured JSON** — title, company, location, seniority, employment type, industries, the full description, and whether the posting has closed. **Free** (you only pay Apify's platform usage, nothing to the developer). No login, no cookies.

### What it does

Give it any of these:

```
https://www.linkedin.com/jobs/view/4419969671
https://www.linkedin.com/jobs/view/senior-engineer-at-acme-4419969671
https://www.linkedin.com/jobs/search/?currentJobId=4419969671
4419969671
```

and each becomes:

| field | example |
|---|---|
| `title` | Senior Software Engineer |
| `company` | General Motors |
| `location` | Austin, TX |
| `seniority` | Mid-Senior level |
| `employmentType` | Full-time |
| `jobFunction`, `industries` | Engineering / Motor Vehicle Manufacturing |
| `description` | the full posting text |
| `salaryMentioned` | whether the description states pay |
| `closed` | the posting is no longer accepting applications |

A job that has been removed comes back as `closed: true` — that is data, not an error.

### No login. Not as a policy — as a property of the code.

This Actor reads LinkedIn's public guest endpoints, the same pages an anonymous visitor sees. The request headers are a **frozen object** with no `Cookie` and no `Authorization`; a guard rejects any credential header, and the input schema refuses any field that looks like `cookie`, `token` or `password`. Unit tests assert it.

### Need more than one job at a time?

This free Actor reads jobs you already have URLs for. When you need more, the paid siblings do the heavy lifting:

- **Search LinkedIn jobs in bulk** (keyword + location, $0.50/1,000): [Fast LinkedIn Jobs Scraper](https://apify.com/northbell/linkedin-jobs-fast-scraper)
- **Search with filters that actually work** (experience, title include/exclude, proof in every run): [LinkedIn Jobs Scraper — Filters That Actually Work](https://apify.com/northbell/linkedin-jobs-filter-scraper)
- **Salary as numbers, filter by pay** (`$150K–$220K` → `annualSalaryMin/Max`): [LinkedIn Jobs Salary Data](https://apify.com/northbell/linkedin-jobs-salary-scraper)
- **Applicant counts and how fast they grow**: [LinkedIn Jobs Scraper with Applicant Counts](https://apify.com/northbell/linkedin-jobs-applicants-scraper)
- **Every open role at one company, with measured coverage**: [LinkedIn Company Jobs Scraper](https://apify.com/northbell/linkedin-company-jobs-scraper)

### Input

```json
{
  "jobs": [
    "https://www.linkedin.com/jobs/view/4419969671",
    "4430230327"
  ]
}
```

Up to 200 jobs per run.

### On data and privacy

This Actor collects **job postings**, not people. It does not read, store or return applicant identities, profiles, names or contact details.

### Running locally

```bash
npm install
npm test
```

### For AI agents

This Actor works well as an agent tool: the input schema is small and fully described, every run returns structured rows, and failures come back as data rather than silent gaps. Use it when you need to:

- get structured details of a LinkedIn job posting from its URL, for free
- check whether a LinkedIn job posting is still open or has closed

# Actor input Schema

## `jobs` (type: `array`):

LinkedIn job URLs (https://www.linkedin.com/jobs/view/4419969671) or bare numeric IDs. Up to 200 per run — this Actor is free.

## `maxRequestsPerMinute` (type: `integer`):

Kept polite by default.

## Actor input object example

```json
{
  "jobs": [
    "https://www.linkedin.com/jobs/view/4419969671"
  ],
  "maxRequestsPerMinute": 20
}
```

# Actor output Schema

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

The structured 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 = {
    "jobs": [
        "https://www.linkedin.com/jobs/view/4419969671"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("northbell/linkedin-job-detail-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 = { "jobs": ["https://www.linkedin.com/jobs/view/4419969671"] }

# Run the Actor and wait for it to finish
run = client.actor("northbell/linkedin-job-detail-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 '{
  "jobs": [
    "https://www.linkedin.com/jobs/view/4419969671"
  ]
}' |
apify call northbell/linkedin-job-detail-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,northbell/linkedin-job-detail-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/F402q68gRitkdjw43/builds/d0kjGjTchBQ3D8XbV/openapi.json