# LinkedIn Jobs Scraper (No Login, Fast) (`juliob.rangel/linkedin-jobs-fast`) Actor

Search LinkedIn job postings by keyword and location without logging in. Get title, company, location, salary, seniority, employment type, applicants and full description.

- **URL**: https://apify.com/juliob.rangel/linkedin-jobs-fast.md
- **Developed by:** [Julio Barcellos Rangel](https://apify.com/juliob.rangel) (community)
- **Categories:** Jobs, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$1.00 / 1,000 job scrapeds

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?

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 (No Login, Fast)

Search **LinkedIn job postings** by keyword and location and get clean, structured data. **No LinkedIn account, no cookies, no risk to your profile.**

### What you get

| Field | Example |
|---|---|
| title | Data Engineer II |
| company / companyUrl | Deloitte, linkedin.com/company/deloitte |
| location | Washington, DC |
| salary | $120,000 – $150,000/yr (when posted) |
| postedAt | 2026-10-01 |
| seniority, employmentType, jobFunction, industries | Mid-Senior level, Full-time, ... |
| applicants | Be among the first 25 applicants |
| description / descriptionHtml | full job description |
| url, jobId | direct link |

### How to use

1. Type keywords (e.g. `data engineer`) and a location (e.g. `United States`, `São Paulo`).
2. Optional: date posted (24h, week, month) and workplace type (remote, hybrid, on-site).
3. Set **Max jobs** and click Start. Export to JSON, CSV, Excel or via API.

### Use cases

- Job boards and aggregators that need fresh listings every day
- Recruiters and staffing agencies tracking who is hiring
- Sales teams using hiring as a buying signal
- Labor market and salary research

### Pricing

Pay only per job returned. No monthly fee.

### Notes

Only public job postings are collected. No personal profile data.

***

## Raspador de Vagas do LinkedIn (sem login)

Busque **vagas do LinkedIn** por palavra-chave e local e receba os dados prontos: cargo, empresa, local, salário, senioridade, tipo de contrato, candidatos e descrição completa. Sem conta do LinkedIn. Exporte em Excel, CSV ou JSON. Ideal para sites de vagas, recrutadores e prospecção (empresa contratando = sinal de compra).

# Actor input Schema

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

Job title, skill or company, e.g. 'data engineer'.

## `location` (type: `string`):

City, state or country, e.g. 'United States', 'São Paulo'.

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

Date posted.

## `remote` (type: `string`):

Workplace type.

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

Max jobs.

## `includeDetails` (type: `boolean`):

Open each job to get description, seniority, employment type and applicants.

## `proxy` (type: `object`):

Apify Proxy (datacenter works well).

## Actor input object example

```json
{
  "keywords": "data engineer",
  "location": "United States",
  "datePosted": "week",
  "remote": "any",
  "maxItems": 25,
  "includeDetails": true,
  "proxy": {
    "useApifyProxy": 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 = {
    "keywords": "data engineer",
    "location": "United States",
    "maxItems": 25
};

// Run the Actor and wait for it to finish
const run = await client.actor("juliob.rangel/linkedin-jobs-fast").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": "data engineer",
    "location": "United States",
    "maxItems": 25,
}

# Run the Actor and wait for it to finish
run = client.actor("juliob.rangel/linkedin-jobs-fast").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": "data engineer",
  "location": "United States",
  "maxItems": 25
}' |
apify call juliob.rangel/linkedin-jobs-fast --silent --output-dataset

```

## MCP server setup

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

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/9o9B1uJsqxGIzQEMY/builds/NZHAcUF5qVQZ0Zd25/openapi.json