# LinkedIn Remote Jobs Scraper & Intelligence (`neuton/linkedin-remote-jobs-intelligence`) Actor

Scrape public LinkedIn remote jobs with normalized workplace, seniority, company, salary, and application data for recruiting research.

- **URL**: https://apify.com/neuton/linkedin-remote-jobs-intelligence.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 Remote Jobs Scraper & Intelligence

Scrape public LinkedIn jobs that are actually described as remote, then export clean job, company, location, salary, application, and description data. Use it for remote-job feeds, distributed-work research, recruiting alerts, and weekly hiring-market monitoring without a LinkedIn login or cookies.

### What makes this different

Generic job searches can mix remote, hybrid, and on-site roles. This Actor fetches public job details and classifies a row as remote only when its title, location, workplace criteria, or description contains a positive remote-work signal and no explicit on-site-only signal. It returns only the rows that pass that check.

- HTTP-only 256 MB runtime for cost-controlled recurring runs
- Multiple keyword and location combinations in one run
- Deduplication by public LinkedIn job ID
- Public descriptions, criteria, salary text, and apply signals when available
- JSON, CSV, Excel, API, webhook, Task, and MCP-ready output

### Example input

```json
{
  "queries": ["remote software engineer"],
  "locations": ["United States"],
  "datePosted": "r604800",
  "includeDescriptions": true,
  "maxResultsPerQuery": 50
}
```

### Output fields

Each returned row can include:

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

Optional fields stay empty when the public posting does not expose them. `isRemote` is a transparent text-based classification, so inspect the source posting before making consequential decisions.

### Automate a remote-job monitor

Save a query as an Apify Task and schedule it daily. Deduplicate new rows by `jobId`, then send them to a job board, Slack channel, spreadsheet, CRM, data warehouse, ChatGPT, Claude, n8n, Make, Zapier, or the [Neuton Actors MCP Server](https://apify.com/neuton/neuton-actors-mcp-server).

### Pricing

Launch price: $6.00 per 1,000 returned remote-job rows ($0.006 each). A run returning 100 rows costs about $0.60 in Actor charges. Filtered-out, duplicate, or unavailable jobs are not returned as billable result rows. This is a margin-first price.

This is a margin-first workflow price. The product competes on stricter remote classification, tested Tasks, clear output, MCP compatibility, and support rather than being the cheapest generic LinkedIn feed.

### LinkedIn jobs scraper SEO keywords

LinkedIn remote jobs scraper, remote jobs API, public LinkedIn job data, remote recruiting data, distributed workforce research, remote hiring monitor.

### LinkedIn jobs workflow family

- [LinkedIn Salary Jobs Scraper](https://apify.com/neuton/linkedin-salary-jobs-intelligence) for compensation research
- [LinkedIn Easy Apply Jobs Scraper](https://apify.com/neuton/linkedin-easy-apply-jobs-scraper) for in-platform application paths
- [LinkedIn Company Hiring Signals Scraper](https://apify.com/neuton/linkedin-company-hiring-signals) for account-level hiring intent
- [LinkedIn Job Skills Demand Scraper](https://apify.com/neuton/linkedin-tech-skills-demand-analyzer) for workforce and curriculum analysis

### Responsible use

This Actor processes public job-posting information. Do not use it for spam, unlawful discrimination, automated applications, private-profile collection, access-control bypass, or excessive requests. Review LinkedIn's current terms and applicable employment and privacy laws before production 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": [
    "remote software engineer"
  ],
  "locations": [
    "United States"
  ],
  "datePosted": "r604800",
  "experienceLevels": [],
  "jobTypes": [],
  "maxResultsPerQuery": 50,
  "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-remote-jobs-intelligence").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-remote-jobs-intelligence").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-remote-jobs-intelligence --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,neuton/linkedin-remote-jobs-intelligence"
        }
    }
}

```

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/XN2f57UpHNDJ5bLYX/builds/242MvTKHIOXdN1wUV/openapi.json