# LinkedIn Easy Apply Jobs Scraper (`neuton/linkedin-easy-apply-jobs-scraper`) Actor

Scrape public LinkedIn Easy Apply jobs with descriptions, criteria, companies, locations, and confirmed on-platform application signals.

- **URL**: https://apify.com/neuton/linkedin-easy-apply-jobs-scraper.md
- **Developed by:** [Ashwin Prasad](https://apify.com/neuton) (community)
- **Categories:** Jobs, Lead generation, Business
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$6.00 / 1,000 results

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/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 Easy Apply Jobs Scraper

Scrape public LinkedIn jobs whose application path is marked for on-platform Easy Apply. Build focused job feeds, measure application-path availability, or monitor newly posted Easy Apply roles without a LinkedIn login or cookies.

### Why use a dedicated Easy Apply Actor

An ordinary apply button is not necessarily Easy Apply. This Actor fetches the public job detail page and keeps a row only when LinkedIn exposes its on-platform application marker. External employer application links are excluded from the returned dataset.

- Multiple keyword and location combinations
- Detail-page verification before a row is retained
- Public descriptions, job criteria, salary text, and company context when available
- Deduplication by public LinkedIn job ID
- HTTP-only 256 MB runtime for inexpensive monitoring

### Example input

```json
{
  "queries": ["product manager"],
  "locations": ["United States"],
  "datePosted": "r604800",
  "includeDescriptions": true,
  "maxResultsPerQuery": 25
}
```

### Output fields

Each confirmed Easy Apply row can include:

- `jobId`, `jobUrl`, `title`, `company`, `companyUrl`, `logoUrl`
- `location`, `searchQuery`, `searchLocation`, `postedAtText`, `postedDate`
- `easyApply`, `applyUrl`, `isRemote`
- `description`, `descriptionHtml`, `salaryText`
- `workplace_type`, `seniority_level`, `employment_type`, and other public criteria
- `scrapedAt`

The Actor identifies the public application-path marker; it does not log in, submit applications, or guarantee that a posting remains open after collection.

### Automation workflow

Create Tasks by role, geography, or recency and schedule them daily. Send results to a job feed, spreadsheet, notification channel, database, ChatGPT, Claude, n8n, Make, Zapier, or the [Neuton Actors MCP Server](https://apify.com/neuton/neuton-actors-mcp-server). Use `jobId` to avoid notifying users twice.

### Pricing

Launch price: $6.00 per 1,000 confirmed Easy Apply rows ($0.006 each). A run returning 100 confirmed rows costs about $0.60 in Actor charges. Search candidates that do not expose the on-platform marker are filtered out before the final result dataset. This is a margin-first price.

### Easy Apply scraper SEO keywords

LinkedIn Easy Apply scraper, Easy Apply jobs API, public LinkedIn jobs data, application path monitor, recruiting automation, Easy Apply job feed.

### LinkedIn jobs workflow family

- [LinkedIn Remote Jobs Scraper & Intelligence](https://apify.com/neuton/linkedin-remote-jobs-intelligence) for remote-role feeds
- [LinkedIn Salary Jobs Scraper](https://apify.com/neuton/linkedin-salary-jobs-intelligence) for compensation benchmarking
- [LinkedIn Company Hiring Signals Scraper](https://apify.com/neuton/linkedin-company-hiring-signals) for company-level intent
- [LinkedIn Job Skills Demand Scraper](https://apify.com/neuton/linkedin-tech-skills-demand-analyzer) for labor-market analysis

### Responsible use

This Actor processes public job-posting information. Do not use it for automated applications, spam, unlawful discrimination, private-profile collection, access-control bypass, or excessive requests. Review the live posting and applicable employment and privacy rules before use. This Actor is not affiliated with or endorsed by LinkedIn.

# Actor input Schema

## `queries` (type: `array`):

Role, skill, or market queries.

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

LinkedIn location text such as United States, London, or Bengaluru.

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

LinkedIn period: r86400, r604800, or r2592000.

## `experienceLevels` (type: `array`):

Optional LinkedIn experience filter codes.

## `jobTypes` (type: `array`):

Optional LinkedIn job type filter codes.

## `geoId` (type: `string`):

Optional LinkedIn geo ID for exact location targeting.

## `maxResultsPerQuery` (type: `integer`):

Maximum public jobs to inspect for each query/location pair.

## `includeDescriptions` (type: `boolean`):

Fetch public job detail pages for descriptions and criteria.

## Actor input object example

```json
{
  "queries": [
    "product manager"
  ],
  "locations": [
    "United States"
  ],
  "datePosted": "r604800",
  "experienceLevels": [],
  "jobTypes": [],
  "maxResultsPerQuery": 25,
  "includeDescriptions": true
}
```

# 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("neuton/linkedin-easy-apply-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("neuton/linkedin-easy-apply-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 neuton/linkedin-easy-apply-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,neuton/linkedin-easy-apply-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/FH42bBObTNwcTyAyF/builds/fXnYWpdtX7YmPuHrP/openapi.json