# LinkedIn Job Post Scraper — Live Roles, Clean Data (`reapx/linkedin-job-post-scraper`) Actor

Search LinkedIn jobs by keyword, location, company, date, workplace and experience level. Get title, company, salary, description and apply URL as CSV, JSON, dataset or API.

- **URL**: https://apify.com/reapx/linkedin-job-post-scraper.md
- **Developed by:** [Tarek Etman](https://apify.com/reapx) (community)
- **Categories:** Jobs, Developer tools
- **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.35 / 1,000 linkedin jobs

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

![reapX](https://reapx.dev/reapx.gif)

## LinkedIn Job Post Scraper — Live Roles, Clean Data

Build a current LinkedIn jobs dataset from keywords, locations, filters, or an exact search URL. Each returned row carries the public job ID, title, company, location, posting date, full description, criteria, salary when LinkedIn lists it, and the apply URL.

The search route is the same public guest surface LinkedIn uses for job cards. Every discovered job is then opened through the singular public `jobPosting` detail route, so the dataset is useful for sourcing, hiring-market research, role monitoring, and downstream API or AI workflows.

### Input

Search by one or more roles and locations:

```json
{
  "keywords": ["product manager", "data scientist"],
  "locations": ["London, United Kingdom", "Berlin, Germany"],
  "postedWithin": "7d",
  "workplaceTypes": ["remote", "hybrid"],
  "experienceLevels": ["mid-senior", "director"],
  "maxJobsPerSearch": 25
}
```

Use `startUrls` when you already have a LinkedIn job-search URL with the exact filters you want. `keywords` and `locations` also accept a single string for integrations and older task inputs.

### Output

Every complete row includes:

- `jobId`, `jobTitle`, `companyName`, `companyUrl`, and `jobUrl`
- `location`, `workplaceType`, `employmentType`, and `experienceLevel`
- `postedAt`, `salaryMin`, `salaryMax`, and `salaryCurrency` when explicitly shown
- `descriptionText` and `applyUrl` from the public job detail page
- `search`, `sourceUrls`, `fetchedAt`, and `fieldReasons` for provenance

Open the rendered dataset in the Apify Console from the run Output panel. Rows are charged only when the complete job event is returned; empty searches, blocked routes, and incomplete rows are uncharged.

### Practical examples

#### Find fresh remote roles

```json
{
  "keywords": "software engineer",
  "locations": "United States",
  "postedWithin": "24h",
  "workplaceTypes": ["remote"],
  "maxJobsPerSearch": 25
}
```

#### Search an existing URL

```json
{
  "startUrls": [
    "https://www.linkedin.com/jobs/search/?keywords=rust&location=Berlin&f_TPR=r604800"
  ],
  "maxJobsPerSearch": 25
}
```

### Delivery and provenance

Search and detail requests are sent directly to LinkedIn's public guest job routes and paced between requests. The row keeps both issuing URLs. A null field means the public source did not expose that value; `fieldReasons` records the reason instead of filling it with an inference.

LinkedIn Job Post Scraper is an independent data product for public job listings and is not affiliated with LinkedIn.

# Actor input Schema

## `keywords` (type: `array`):

Roles or search terms. Use a string or a list, such as product designer, Rust, or data analyst.

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

Cities, regions, or countries to search. Use a string or a list, such as Berlin, Germany or United States.

## `startUrls` (type: `array`):

Exact LinkedIn job-search URLs when you already have the filters you want.

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

Compatibility input for saved tasks that pass keyword and location objects.

## `maxJobsPerSearch` (type: `integer`):

Maximum complete job rows returned for each keyword and location search.

## `postedWithin` (type: `string`):

Limit results to recent postings when freshness matters.

## `workplaceTypes` (type: `array`):

Filter to remote, hybrid, or on-site roles.

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

Filter to the seniority bands LinkedIn exposes.

## Actor input object example

```json
{
  "keywords": [
    "software engineer"
  ],
  "locations": [
    "United States"
  ],
  "maxJobsPerSearch": 25,
  "postedWithin": "any"
}
```

# Actor output Schema

## `results` (type: `string`):

No description

## `output` (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": [
        "software engineer"
    ],
    "locations": [
        "United States"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("reapx/linkedin-job-post-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 = {
    "keywords": ["software engineer"],
    "locations": ["United States"],
}

# Run the Actor and wait for it to finish
run = client.actor("reapx/linkedin-job-post-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 '{
  "keywords": [
    "software engineer"
  ],
  "locations": [
    "United States"
  ]
}' |
apify call reapx/linkedin-job-post-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,reapx/linkedin-job-post-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/433vxZsfzpAv79vOk/builds/ujBjVbEr24CpDIeRZ/openapi.json