# Linkedin Jobs Scraper 🚀 (Targeted, Bulk & Easy Apply) (`bluephantom/linkedin-jobs-scraper`) Actor

The ultimate LinkedIn Scraper. Bulk search 100s of cities & companies at once. Filter by 'Easy Apply', 'Remote/Hybrid', and 'Date'. Safe, fast, and 100% public data. Ideal for Lead Gen & Market Analysis.

- **URL**: https://apify.com/bluephantom/linkedin-jobs-scraper.md
- **Developed by:** [BluePhantom](https://apify.com/bluephantom) (community)
- **Categories:** Lead generation, Social media, Jobs
- **Stats:** 17 total users, 0 monthly users, 100.0% runs succeeded, 4 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?

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 Jobs Scraper 🚀

**The ultimate LinkedIn Scraper. Bulk search 100s of cities & companies at once. Filter by 'Easy Apply', Remote/Hybrid, and Date. Safe, fast, and 100% public data.**

### 🚀 Features

- **Multi-Select Locations**: Select multiple **Countries** and **Cities** from dropdowns to search them all in one go.
- **Bulk Custom Locations**: Paste a comma-separated list of cities (e.g., "Austin, TX, Boulder, CO") to scrape them all.
- **Bulk Company Search**: Add multiple **Company Names** to scrape them all in one run.
- **Advanced Filtering**: Filter by Keywords, Date Posted, Work Type (Remote/On-site), Job Type, Experience Level, and Easy Apply.
- **Smart Permutations**: Automatically searches every combination of your selected Locations and Keywords/Companies.
- **Proxy Support**: Built-in support for Apify Proxy to avoid blocking.
- **Fast & Efficient**: Uses lightweight HTTP requests (Cheerio) for maximum speed and minimal cost.
- **Structured Output**: Delivers clean JSON/CSV data ready for analysis.

### 🛠️ Input Parameters

| Field | Type | Description |
|---|---|---|
| `keywords` | String | Job title, skill, or keyword (e.g., "Software Engineer"). |
| `country` | Multi-Select | Select one or more **Countries** to search in (e.g., "US", "UK", "Canada"). |
| `locationSelect` | Multi-Select | Select multiple **Major Cities** from the dropdown (e.g., "San Francisco", "London"). |
| `locationCustom` | String | **Bulk Custom**: Enter comma-separated cities (e.g., "Paris, Lyon, Marseille"). |
| `companyNames` | List | **Bulk Add**: Filter by specific Company Names (e.g., "Google", "Microsoft"). |
| `datePosted` | Select | Filter by date posted (Any Time, Past Month, Past Week, Past 24 Hours, Past Year). |
| `sortBy` | Select | Sort by **Relevance** or **Date Posted**. |
| `easyApply` | Boolean | If true, only show **Easy Apply** jobs. |
| `workType` | Array | Filter by work arrangement (On-site, Remote, Hybrid). |
| `jobType` | Array | Filter by job type (Full-time, Contract, Internship, etc.). |
| `experienceLevel` | Array | Filter by experience level (Entry level, Senior, Executive, etc.). |
| `companyIds` | Array | Filter by specific LinkedIn Company IDs (Advanced). |
| `datasetName` | String | **Optional**: Name of the dataset to save results to (e.g., "my-jobs"). |
| `maxRequestsPerCrawl` | Integer | Maximum number of jobs to scrape. |

### 📊 Output

The scraper produces a dataset containing:

- `title`: Job Title
- `company`: Company Name
- `location`: Location
- `date`: Date Posted
- `url`: Job URL

### 💡 Use Cases

- **Job Market Analysis**: Track hiring trends and salary insights across multiple regions.
- **Lead Generation**: Find companies hiring for specific roles in target cities.
- **Competitor Monitoring**: See who your competitors are hiring globally.
- **Job Boards**: Aggregate listings for your own job board.

### License

Apache 2.0

# Actor input Schema

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

Enter the job title, skill, or keyword you are looking for (e.g., 'Software Engineer', 'Python').

## `companyNames` (type: `array`):

Filter by specific company names (e.g., 'Google', 'Microsoft'). We will search for EACH company.

## `country` (type: `array`):

Select one or more countries to search for jobs.

## `locationSelect` (type: `array`):

Select specific cities or regions to search. These will be combined with country selections.

## `locationCustom` (type: `string`):

Enter additional cities, regions, or areas not listed above. Separate multiple locations with commas (e.g., 'Omaha, NE, Des Moines, IA, Tulsa, OK').

## `datePosted` (type: `string`):

How fresh should the jobs be?

## `sortBy` (type: `string`):

Order results by relevance or date.

## `easyApply` (type: `boolean`):

If checked, only scrape jobs with the 'Easy Apply' option.

## `workType` (type: `array`):

Filter by work arrangement.

## `jobType` (type: `array`):

Filter by job type.

## `experienceLevel` (type: `array`):

Filter by experience level.

## `companyIds` (type: `array`):

Filter by specific LinkedIn Company IDs (e.g., 123456). Use this for precise company filtering.

## `datasetName` (type: `string`):

Data is saved to both the run dataset and this named dataset for persistence across runs.

## `maxRequestsPerCrawl` (type: `integer`):

Maximum number of jobs to scrape.

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

Select proxies to be used by your crawler.

## Actor input object example

```json
{
  "keywords": "software engineer",
  "companyNames": [],
  "country": [
    "US"
  ],
  "locationSelect": [],
  "locationCustom": "",
  "datePosted": "anyTime",
  "sortBy": "R",
  "easyApply": false,
  "workType": [],
  "jobType": [],
  "experienceLevel": [],
  "companyIds": [],
  "datasetName": "linkedin-jobs-data",
  "maxRequestsPerCrawl": 50,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `overview` (type: `string`):

No description

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("bluephantom/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 = {}

# Run the Actor and wait for it to finish
run = client.actor("bluephantom/linkedin-jobs-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 '{}' |
apify call bluephantom/linkedin-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,bluephantom/linkedin-jobs-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/dlmDhwEu25ThqFlg5/builds/Oikx48sIcPA0PpAN7/openapi.json