# Linkedin Job Scraper (`freshdata/linkedin-job-scraper`) Actor

Exact LinkedIn job posts base on filters.

- **URL**: https://apify.com/freshdata/linkedin-job-scraper.md
- **Developed by:** [FreshData](https://apify.com/freshdata) (community)
- **Categories:** Lead generation, Social media, Jobs
- **Stats:** 214 total users, 4 monthly users, 100.0% runs succeeded, 2 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

$8.00 / 1,000 processing data

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?

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 Scraper

The **Linkedin Job Scraper** is a powerful tool designed to extract detailed job post data from your filters/criteria — without the need for cookies or login.

### ✨ Features

- 👤 **Job Posts Detail Extraction**

- 🍪 **No Cookies Required**\
  The scraper works without any LinkedIn login or cookies — simplifying setup and execution.

### 🛠️ How It Works

1. 🔗 **Input**\
   Provide valid values for filters.

2. ▶️ **Run the Scraper**\
   Start the actor to extract rich profile post data in real time — results will be available in Apify's Dataset tab.

### 💰 Pricing

1. Paid users: $0.008/1 request = 1 "processing" events / 1 request ($8/1000 requests).
2. Free users: $0.8/1 request = 100 "processing" events/ 1 request ($800/1000 requests).

### ✨ You may also want to check out my other powerful actors:

#### For people:

- https://apify.com/freshdata/fresh-linkedin-profile-data
- https://apify.com/freshdata/linkedin-open-profile-status
- https://apify.com/freshdata/linkedin-open-to-work-status
- https://apify.com/freshdata/linkedin-detect-activity-time

#### For Sales Navigator searches:

- https://apify.com/freshdata/linkedin-sales-navigator-scraper
- https://apify.com/freshdata/linkedin-sales-account-scraper

#### For companies:

- https://apify.com/freshdata/linkedin-company-scraper
- https://apify.com/freshdata/linkedin-company-insights-scraper
- https://apify.com/freshdata/linkedin-company-by-domain
- https://apify.com/freshdata/linkedin-company-custom-headcount

#### For jobs:

- https://apify.com/freshdata/linkedin-job-details-scraper
- https://apify.com/freshdata/linkedin-job-scraper

#### For posts:

- https://apify.com/freshdata/linkedin-post-scraper
- https://apify.com/freshdata/get-post-details
- https://apify.com/freshdata/linkedin-company-post-scraper
- https://apify.com/freshdata/linkedin-post-comments-scraper
- https://apify.com/freshdata/reaction-scraper

### 📥 Input Example

```json
{
  "keywords": "marketing",
  "geo_code": 92000000,
  "date_posted": "Any time",
  "experience_levels": ["Director", "Executive"],
  "company_ids": [
    1035
  ],
  "title_ids": [1,4,7],
  "onsite_remotes": ["Remote"],
  "functions": ["Marketing"],
  "industries": [1256,24,6],
  "job_types": ["Part-time", "contract"],
  "sort_by": "Most relevant",
  "easy_apply": "false",
  "under_10_applicants": "false",
  "start": 0
}
```

### 📤 Output Example

```json
{
  "data": [
    {
      "company": "Microsoft",
      "company_linkedin_url": "https://www.linkedin.com/company/microsoft",
      "company_logo": "https://media.licdn.com/dms/image/v2/C560BAQE88xCsONDULQ/company-logo_200_200/company-logo_200_200/0/1630652622688/microsoft_logo?e=1741219200&v=beta&t=cw0sI898Ll3yxC5LKbB3ACgfrsHN0U88mOtn5U8xAW0",
      "job_title": "Marketing: MBA Internship Opportunities",
      "job_url": "https://www.linkedin.com/jobs/view/4052310093",
      "job_urn": "4052310093",
      "location": "Redmond, WA",
      "posted_time": "2024-11-29 10:43:18",
      "remote": "Hybrid",
      "salary": "$11.2K/yr - $12.2K/yr"
    },
    {
      "company": "Microsoft",
      "company_linkedin_url": "https://www.linkedin.com/company/microsoft",
      "company_logo": "https://media.licdn.com/dms/image/v2/C560BAQE88xCsONDULQ/company-logo_200_200/company-logo_200_200/0/1630652622688/microsoft_logo?e=1741219200&v=beta&t=cw0sI898Ll3yxC5LKbB3ACgfrsHN0U88mOtn5U8xAW0",
      "job_title": "Digital Marketing Manager, Email Channel",
      "job_url": "https://www.linkedin.com/jobs/view/4074167312",
      "job_urn": "4074167312",
      "location": "Redmond, WA",
      "posted_time": "2024-11-11 20:29:38",
      "remote": "Hybrid",
      "salary": "$83.4K/yr - $183K/yr"
    }
  ],
  "message": "ok",
  "total": 495
}

```

# Actor input Schema

## `keywords` (type: `string`):

Keywords to search for jobs.

## `geo_code` (type: `integer`):

Geographical code for filtering jobs. Learn how to [find a geo\_code](https://i.postimg.cc/mkpbn8hS/geo-code.png).

## `date_posted` (type: `string`):

Filter jobs by date posted. Acceptable values include predefined date ranges.

## `experience_levels` (type: `array`):

Filter jobs by experience levels. Acceptable values include predefined experience levels.

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

Comma-separated company IDs. Example: 1035,2001,3002. Learn how to [find a company\_id](https://i.postimg.cc/1zVwkP3B/company-id.png).

## `title_ids` (type: `string`):

Comma-separated title IDs. Learn how to [find a title\_id](https://i.postimg.cc/sgNhW4c7/title-id.png).

## `industries` (type: `string`):

Comma-separated industry names. Learn how to [find an industry\_id here](https://learn.microsoft.com/en-us/linkedin/shared/references/reference-tables/industry-codes-v2).

## `onsite_remotes` (type: `array`):

Possible values:

## `functions` (type: `array`):

No description

## `job_types` (type: `array`):

Possible values: Full-time, Part-time, Contract, Temporary, Internship, Other.

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

Default value: Most relevant. Possible values: Most recent, Most relevant.

## `easy_apply` (type: `string`):

No description

## `under_10_applicants` (type: `string`):

Filter jobs with less than 10 applicants. Acceptable values are 'true' or 'false'.

## `start` (type: `integer`):

Pagination start index. Default: 0

## Actor input object example

```json
{
  "keywords": "marketing",
  "geo_code": 92000000,
  "date_posted": "Any time",
  "experience_levels": [
    "Internship",
    "Entry level"
  ],
  "company_ids": "1035,1053",
  "onsite_remotes": [
    "Remote",
    "Hybrid"
  ],
  "functions": [
    "Marketing",
    "Sales"
  ],
  "job_types": [
    "Full-time",
    "Internship"
  ],
  "easy_apply": "false",
  "under_10_applicants": "false"
}
```

# 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 = {
    "keywords": "marketing",
    "geo_code": 92000000,
    "experience_levels": [
        "Internship",
        "Entry level"
    ],
    "company_ids": "1035,1053"
};

// Run the Actor and wait for it to finish
const run = await client.actor("freshdata/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 = {
    "keywords": "marketing",
    "geo_code": 92000000,
    "experience_levels": [
        "Internship",
        "Entry level",
    ],
    "company_ids": "1035,1053",
}

# Run the Actor and wait for it to finish
run = client.actor("freshdata/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 '{
  "keywords": "marketing",
  "geo_code": 92000000,
  "experience_levels": [
    "Internship",
    "Entry level"
  ],
  "company_ids": "1035,1053"
}' |
apify call freshdata/linkedin-job-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,freshdata/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/0bayeE4qPEtMhGgxC/builds/nJggC81BueX7fZXyg/openapi.json