# LinkedIn Search Jobs Scraper (`data_direct/linkedin-jobs-scraper`) Actor

Search LinkedIn job listings by keyword with filters

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

## Pricing

from $6.00 / 1,000 runs

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#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 Search Jobs Scraper

Search for LinkedIn job listings by keyword. Returns job title, company, location, posting date, job type, experience level, workplace type, industry, salary, benefits, full description, applicants, and company logo. Supports filtering by recency, job type, company, and location.

### Features

- Real-time LinkedIn data — results are fetched live at run time, never cached or stale
- No login, cookies, or proxy configuration needed — just provide the input and run
- Each result is pushed as a separate dataset item, exportable as JSON, CSV, or Excel
- Fast: a typical run finishes in seconds

### Input

| Field | Type | Required | Description |
|---|---|---|---|
| `query` | string | yes | Search query (max 500 characters) |
| `page` | integer | no | Page number for pagination |
| `sort_by` | string | no | Sort order for results One of: most\_recent, relevance. |
| `posted_ago` | string | no | Filter by maximum job age. Defaults to all time when omitted. One of: 1h, 24h, 7d, 30d. |
| `job_type` | string | no | Filter by employment type. Comma-separate multiple values (e.g., `full_time,contract`). Allowed values: full\_time, part\_time, contract, temporary, volunteer, internship, other. |
| `company_ids` | string | no | Filter by company. Comma-separated LinkedIn company IDs (get IDs from the Search Companies endpoint). |
| `location_id` | string | no | Filter by location. A numeric LinkedIn location ID. |

### Pricing

This Actor is billed **per run** — a flat **$0.006 per run**.

- One run returns all matching results for your input, and costs $0.006 — whether it comes back with one result or hundreds.
- You’re only charged when a run succeeds. Failed runs are free.

### Example output

```json
{
  "jobs": [
    {
      "title": "Senior Software Engineer",
      "url": "https://www.linkedin.com/jobs/view/4417833240/",
      "company": "Stripe",
      "company_id": "2135371",
      "company_url": "https://www.linkedin.com/company/stripe",
      "company_logo": "https://media.licdn.com/dms/image/.../company-logo.jpg",
      "location": "San Francisco, CA",
      "date": "2026-05-20 14:30:00",
      "job_type": "full_time",
      "experience_level": "mid_senior",
      "workplace_type": "hybrid",
      "industry": "Technology, Information and Internet",
      "job_functions": "ENG, IT",
      "description": "We are looking for a Senior Software Engineer to join our team...",
      "salary": "$180,000 - $250,000",
      "benefits": "",
      "apply_url": "https://stripe.com/jobs/listing/senior-software-engineer/1234",
      "applicants": "200+ applicants"
    }
  ],
  "page": 1,
  "count": 25
}
```

### About

Maintained by **Data Direct** — a small suite of fast, reliable LinkedIn and web-data scrapers. Each actor returns clean, structured results with no login, cookies, or proxy setup required. Have a question or a custom data need? Open an issue on this actor.

# Actor input Schema

## `query` (type: `string`):

Search query (max 500 characters)

## `page` (type: `integer`):

Page number for pagination

## `sort_by` (type: `string`):

Sort order for results

## `posted_ago` (type: `string`):

Filter by maximum job age. Defaults to all time when omitted.

## `job_type` (type: `string`):

Filter by employment type. Comma-separate multiple values (e.g., `full_time,contract`). Allowed values: full\_time, part\_time, contract, temporary, volunteer, internship, other.

## `company_ids` (type: `string`):

Filter by company. Comma-separated LinkedIn company IDs (get IDs from the Search Companies endpoint).

## `location_id` (type: `string`):

Filter by location. A numeric LinkedIn location ID.

## Actor input object example

```json
{
  "query": "software engineer",
  "page": 1,
  "sort_by": "relevance"
}
```

# 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 = {
    "query": "software engineer"
};

// Run the Actor and wait for it to finish
const run = await client.actor("data_direct/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 = { "query": "software engineer" }

# Run the Actor and wait for it to finish
run = client.actor("data_direct/linkedin-jobs-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "query": "software engineer"
}' |
apify call data_direct/linkedin-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=data_direct/linkedin-jobs-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/PJyQWtKoWedKYWriP/builds/XQq4eR1ALdiuCjfrF/openapi.json