# LinkedIn Jobs Scraper: Titles, Companies & Locations (`buy-it/linkedin-jobs-scraper`) Actor

Scrape public LinkedIn job search results by keyword and location. Get job title, company, location, listed date and link. No login. Export JSON, CSV or Excel, use the API, or schedule runs.

- **URL**: https://apify.com/buy-it/linkedin-jobs-scraper.md
- **Developed by:** [Ioannis Kokkinis](https://apify.com/buy-it) (community)
- **Categories:** Jobs
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.30 / 1,000 job listings

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

Scrape public LinkedIn job search results by keyword and location. No login required.

### What you get per result

| Field | Description |
|---|---|
| `jobId` | LinkedIn job posting id |
| `title` | Job title |
| `company` / `companyUrl` | Hiring company |
| `location` | Location text as shown |
| `listedAt` / `listedAtText` | ISO date when available, plus relative text |
| `salary` | Salary text when LinkedIn shows it |
| `url` | Clean job view link |
| `scrapedAt` | ISO timestamp |

### How to use

1. Enter keywords (and optional location / date filter), or paste a LinkedIn jobs search URL.
2. Set `maxItems` to cap how many jobs you want.
3. Download the dataset as JSON, CSV or Excel.

### Input

| Field | Required | Description |
|---|---|---|
| `keywords` | one of | Search keywords |
| `startUrls` | one of | Public LinkedIn jobs search URLs |
| `location` | no | City / country |
| `datePosted` | no | anytime / past24Hours / pastWeek / pastMonth |
| `maxItems` | no | Default 50 |

### Pricing

Pay per job returned. Actor start is a tiny fixed fee. Failures are free. Set a max spend on the run to cap cost.

### Notes

- Uses LinkedIn's public guest jobs API (same data as the logged-out jobs search).
- If LinkedIn blocks the run, enable Apify Proxy in the input.
- Use in line with LinkedIn's terms.

### Related actors

More scrapers from the same publisher:

- [Reed Jobs Scraper](https://apify.com/buy-it/reed-jobs-scraper) — UK jobs and salaries from Reed.co.uk

# Actor input Schema

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

Job titles or keywords to search for, one per line, for example "software engineer" or "nurse".

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

Paste any public LinkedIn jobs search URL (from linkedin.com/jobs/search). Used together with the keywords above.

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

Optional city, region or country, for example "United States" or "London, United Kingdom".

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

Optional LinkedIn geoId from a search URL (geoId=). More precise than free-text location.

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

Only return jobs posted within this period.

## `distance` (type: `integer`):

Search radius around the location in miles (LinkedIn distance filter).

## `easyApply` (type: `boolean`):

Only jobs with LinkedIn Easy Apply.

## `under10Applicants` (type: `boolean`):

Only jobs LinkedIn marks as having under 10 applicants.

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

Stop after this many jobs in total across all keywords and URLs.

## `proxyConfiguration` (type: `object`):

Proxy used for requests. Leave off for direct access; enable Apify Proxy if LinkedIn blocks the run.

## Actor input object example

```json
{
  "keywords": [
    "software engineer"
  ],
  "startUrls": [],
  "location": "United States",
  "datePosted": "anytime",
  "easyApply": false,
  "under10Applicants": false,
  "maxItems": 50,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `jobs` (type: `string`):

One row per job. Download as JSON, CSV or Excel.

# 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"
    ],
    "startUrls": [],
    "location": "United States",
    "proxyConfiguration": {
        "useApifyProxy": false
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("buy-it/linkedin-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 = {
    "keywords": ["software engineer"],
    "startUrls": [],
    "location": "United States",
    "proxyConfiguration": { "useApifyProxy": False },
}

# Run the Actor and wait for it to finish
run = client.actor("buy-it/linkedin-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 '{
  "keywords": [
    "software engineer"
  ],
  "startUrls": [],
  "location": "United States",
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}' |
apify call buy-it/linkedin-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,buy-it/linkedin-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/cbOBcFFxZLGHZC4tb/builds/1fk17fh36Z5aXsCvl/openapi.json