# LinkedIn Jobs Scraper (`bendevapps/my-actor`) Actor

Scrape LinkedIn job listings by keyword, location, filters, or search URL. Get job title, company, location, description, posted time, and direct job link — no login needed.

- **URL**: https://apify.com/bendevapps/my-actor.md
- **Developed by:** [benscrapingweb](https://apify.com/bendevapps) (community)
- **Categories:** Jobs, Developer tools, Lead generation
- **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/platform/actors/running/actors-in-store#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 Jobs Scraper

Find public LinkedIn job listings without needing a LinkedIn login.

Enter a job title and location, or paste public LinkedIn job-search URLs. The Actor returns job title, company, location, posted time, job URL, description, and any public company links it finds.

### What it does

- Searches public LinkedIn job results
- Supports job title, location, time posted, job type, experience, and work type filters
- Follows each public job page for the full description
- Keeps the original LinkedIn job URL in every result
- Optionally adds public company details when available

### Quick start

1. Enter a **Query**, such as `Python Developer`.
2. Enter a **Location**, such as `Berlin, Germany`.
3. Choose how many jobs you want.
4. Click **Start**.

### Public-data boundary

This Actor is designed for publicly reachable job listings only. It does not use a LinkedIn login, access private profiles, or collect private contact information. LinkedIn can change its public page structure or rate-limit requests, so results may vary by market and search.

# Actor input Schema

## `searchUrls` (type: `array`):

Optional. Paste one or more public LinkedIn job-search URLs. If you leave this blank, the search filters below are used.

## `query` (type: `string`):

Job title, skill, or keyword to search for.

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

City, country, region, or Remote.

## `timePostedRange` (type: `string`):

Only return jobs posted in this period when LinkedIn makes that filter available.

## `maxJobs` (type: `integer`):

Maximum jobs from each search URL. Large runs can cost more and take longer.

## `enrichCompanyDetails` (type: `boolean`):

When available in the public job page, return company description and company page URL.

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

Choose one or more employment types.

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

Choose one or more experience levels.

## `workTypes` (type: `array`):

Choose one or more workplace types.

## Actor input object example

```json
{
  "searchUrls": [],
  "query": "Python Developer",
  "location": "Berlin, Germany",
  "timePostedRange": "anyTime",
  "maxJobs": 10,
  "enrichCompanyDetails": false
}
```

# Actor output Schema

## `jobs` (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 = {
    "searchUrls": [],
    "query": "Python Developer",
    "location": "Berlin, Germany",
    "maxJobs": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("bendevapps/my-actor").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 = {
    "searchUrls": [],
    "query": "Python Developer",
    "location": "Berlin, Germany",
    "maxJobs": 10,
}

# Run the Actor and wait for it to finish
run = client.actor("bendevapps/my-actor").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "searchUrls": [],
  "query": "Python Developer",
  "location": "Berlin, Germany",
  "maxJobs": 10
}' |
apify call bendevapps/my-actor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=bendevapps/my-actor",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/RpTeYrugqHf3d2Lg6/builds/JOrWDal607ntQbiJO/openapi.json