# Linkedin Job Details (`ahmed_abdelsalam/linkedin-job-details`) Actor

- **URL**: https://apify.com/ahmed_abdelsalam/linkedin-job-details.md
- **Developed by:** [Ahmed Elowny](https://apify.com/ahmed_abdelsalam) (community)
- **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: 5.00 out of 5 stars

## 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?

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 Details by ID: Fast, No Login

Pass an array of LinkedIn job IDs and get the full details of each job: title, company, location, description, seniority level, contract type, job function, work type, salary, applicants count, recruiter and apply link.

No login, no browser, no cookies. Uses LinkedIn's public guest API over plain HTTP, with the same proxy rotation, session pool and retry behaviour as the LinkedIn Jobs Scraper.

### Input

| Field    | Type  | Required | Description                                                                         |
| -------- | ----- | -------- | ----------------------------------------------------------------------------------- |
| `jobIds` | array | yes      | LinkedIn job IDs. Maximum 640 per run. Duplicates are removed automatically.        |

```json
{
  "jobIds": ["4012345678", "4023456789"]
}
```

A full job URL is also accepted inside the array; the ID is taken from its end.

### Output

One dataset item per job:

```json
{
  "id": "4012345678",
  "title": "Python Developer",
  "companyName": "Example Co",
  "companyUrl": "https://www.linkedin.com/company/example",
  "location": "London, England, United Kingdom",
  "jobFunction": "Engineering",
  "contractType": "Full-time",
  "experienceLevel": "Mid-Senior level",
  "workType": "Hybrid",
  "salary": "",
  "applyType": "EXTERNAL",
  "applyUrl": "https://example.com/apply",
  "postedTime": "2 days ago",
  "publishedAt": "2026-10-06",
  "applicationsCount": "Over 100 applicants",
  "benefits": "",
  "posterFullName": "",
  "posterProfileUrl": "",
  "jobUrl": "https://www.linkedin.com/jobs/view/4012345678",
  "description": "...",
  "scrapingInfo": { "index": 1 }
}
```

Job IDs that no longer exist or are unavailable are logged as errors and produce no dataset item.

# Actor input Schema

## `jobIds` (type: `array`):

List of LinkedIn job IDs (e.g. 4012345678). The ID is the number at the end of a job URL: linkedin.com/jobs/view/...-4012345678.

## `proxyConfiguration` (type: `object`):

Proxy settings used when running on the Apify platform. Automatically configured to use Apify Proxy with the maximum available IPs.

## Actor input object example

```json
{
  "jobIds": [
    "4475963068"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

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

Direct link to all extracted job details in JSON/CSV format.

# 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 = {
    "jobIds": [
        "4475963068"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("ahmed_abdelsalam/linkedin-job-details").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 = { "jobIds": ["4475963068"] }

# Run the Actor and wait for it to finish
run = client.actor("ahmed_abdelsalam/linkedin-job-details").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 '{
  "jobIds": [
    "4475963068"
  ]
}' |
apify call ahmed_abdelsalam/linkedin-job-details --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,ahmed_abdelsalam/linkedin-job-details"
        }
    }
}
```

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/cO5u82OIankmLkdSJ/builds/IIp2yfffLNpdW6aN1/openapi.json