# LinkedIn Job Search & Skill Match (`dipesh_chaudhari/linkedin-job-search`) Actor

LinkedIn Job Search & Skill Match helps developers and job seekers find relevant jobs from LinkedIn. Supports multiple job titles, multiple locations, Easy Apply jobs, remote jobs, experience-level filters, job-type filters, date-posted filters, resume skill matching, and job description extraction.

- **URL**: https://apify.com/dipesh\_chaudhari/linkedin-job-search.md
- **Developed by:** [Dipesh Chaudhari](https://apify.com/dipesh_chaudhari) (community)
- **Categories:** Jobs, Automation
- **Stats:** 2 total users, 1 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 Search & Skill Match

A powerful Apify Actor that searches LinkedIn jobs using multiple filters and matches jobs against candidate resume skills.

### Features

#### LinkedIn Job Search

- Search using multiple job titles
- Search across multiple locations
- Easy Apply jobs only
- Remote jobs only
- Filter by date posted
- Filter by experience level
- Filter by job type
- Extract job descriptions
- Extract company details
- Extract job location
- Extract job URLs

#### Resume Skill Matching

- Accept resume skills from external APIs
- Compare skills against job descriptions
- Calculate matching skills
- Calculate match percentage
- Extract required experience from job descriptions

#### Apify Features

- Input Schema
- Dataset Storage
- Automatic Deployment
- GitHub Integration
- Scheduled Runs
- API Access

***

### Input Example

```json
{
  "jobTitles": [
    ".NET Developer",
    "ASP.NET Core Developer"
  ],
  "locations": [
    "India",
    "Ahmedabad"
  ],
  "skills": [
    ".NET Core",
    "C#",
    "SQL Server",
    "Angular",
    "Redis",
    "RabbitMQ"
  ],
  "easyApply": true,
  "remoteOnly": false,
  "datePosted": "24h",
  "experienceLevel": "mid",
  "jobType": "fulltime",
  "maxItems": 20
}
```

***

### Output Example

```json
{
  "title": "Senior .NET Developer",
  "company": "Infosys",
  "location": "Ahmedabad, Gujarat, India",
  "url": "https://linkedin.com/jobs/view/123456",
  "description": "Job description...",
  "experience": "5",
  "requiredSkills": [
    ".NET Core",
    "C#",
    "SQL Server",
    "Angular"
  ],
  "matchedSkills": [
    ".NET Core",
    "C#",
    "SQL Server"
  ],
  "matchPercentage": 75,
  "searchKeyword": ".NET Developer",
  "searchLocation": "India"
}
```

***

### Supported Filters

| Filter           | Description                                            |
| ---------------- | ------------------------------------------------------ |
| Easy Apply       | LinkedIn Easy Apply jobs only                          |
| Remote Only      | Remote jobs only                                       |
| Date Posted      | Last 24 Hours, Week, Month                             |
| Experience Level | Internship, Entry, Associate, Mid, Director, Executive |
| Job Type         | Full Time, Part Time, Contract, Internship             |

***

### Installation

Clone the repository:

```bash
git clone https://github.com/YOUR_USERNAME/linkedin-job-search.git
```

Install dependencies:

```bash
pip install -r requirements.txt
```

Install Playwright browser:

```bash
playwright install chromium
```

Run locally:

```bash
apify run
```

***

### Deployment

#### Deploy using Apify CLI

```bash
apify login
apify push
```

#### Automatic Deployment using GitHub

1. Connect your GitHub repository to Apify
2. Enable Build on Push
3. Every GitHub push automatically creates a new build

```bash
git add .
git commit -m "Updated Actor"
git push origin main
```

***

### Integration with ASP.NET Core

This Actor is designed to integrate with:

- ASP.NET Core
- Resume Analysis Services
- Claude AI
- OpenAI
- Puter AI
- SQL Server
- PostgreSQL

Workflow:

Resume Upload → Resume Analysis → Skill Extraction → Apify Actor → LinkedIn Jobs → Skill Matching → Database

***

### API Usage

Start Actor:

```http
POST https://api.apify.com/v2/acts/{ACTOR_ID}/runs?token={TOKEN}
```

Get Dataset:

```http
GET https://api.apify.com/v2/datasets/{DATASET_ID}/items
```

***

### Tech Stack

- Python
- Apify SDK
- Playwright
- LinkedIn Jobs
- GitHub Actions
- ASP.NET Core Integration

***

### Disclaimer

This Actor is intended for educational, research, and personal job-search automation purposes. Users are responsible for complying with LinkedIn's Terms of Service and all applicable laws and regulations.

***

### Author

Dipesh Chaudhari

Backend Developer | ASP.NET Core | Microservices | SQL Server | Apify Automation

# Actor input Schema

## `jobTitles` (type: `array`):

List of job titles to search

## `locations` (type: `array`):

List of locations to search

## `skills` (type: `array`):

Resume skills for matching

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

Search only LinkedIn Easy Apply jobs

## `remoteOnly` (type: `boolean`):

Search only remote jobs

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

24h, week, or month

## `experienceLevel` (type: `string`):

internship, entry, associate, mid, director, executive

## `jobType` (type: `string`):

fulltime, parttime, contract, temporary, internship

## `maxItems` (type: `integer`):

Maximum number of jobs to scrape

## Actor input object example

```json
{
  "maxItems": 20
}
```

# Actor output Schema

## `results` (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("dipesh_chaudhari/linkedin-job-search").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("dipesh_chaudhari/linkedin-job-search").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 dipesh_chaudhari/linkedin-job-search --silent --output-dataset

```

## MCP server setup

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

```

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/QncrjEm9mYy6g7aNt/builds/dcjegSE2TdSyO82G4/openapi.json