# LinkedIn Jobs Scraper (`crabwalker/linkedin-jobs-scraper`) Actor

Search public LinkedIn jobs without login and export full descriptions, companies, salaries, criteria, and application links.

- **URL**: https://apify.com/crabwalker/linkedin-jobs-scraper.md
- **Developed by:** [Crab Walker](https://apify.com/crabwalker) (community)
- **Categories:** Social media, Jobs
- **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.10 / 1,000 linkedin job results

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

## LinkedIn Jobs Scraper

Search public LinkedIn job listings by keyword and location, or scrape direct public LinkedIn job/search URLs. The Actor uses LinkedIn's signed-out jobs pages and does not require cookies, user accounts, or credentials.

It collects each search card and, by default, visits the public job-detail page to return the full description, employment criteria, applicant count, salary when shown, company information, and application URL.

### Input

The simplest input is:

```json
{
  "keywords": "software engineer",
  "location": "Spain",
  "maxItems": 100
}
```

You can filter by recency, experience level, job type, and workplace type:

```json
{
  "keywords": "data engineer",
  "location": "London",
  "datePosted": "pastWeek",
  "sortBy": "recent",
  "experienceLevel": ["entry", "associate"],
  "jobType": ["fullTime", "contract"],
  "workplaceType": ["remote", "hybrid"],
  "easyApplyOnly": false,
  "maxItems": 50,
  "includeDescription": true
}
```

For multiple searches through the API, use `searchTerms` and `locations`. The Actor runs every keyword/location combination:

```json
{
  "searchTerms": ["product designer", "ux researcher"],
  "locations": ["Madrid", "Barcelona"],
  "maxItemsPerSearch": 25
}
```

`startUrls` accepts public `linkedin.com/jobs/search` and `linkedin.com/jobs/view` URLs. The aliases `keyword`, `position`, and `maxItemsPerSearch` are also supported.

### Output

Each dataset row can include:

- LinkedIn job ID, canonical URL, title, company, company URL, and logo
- Location, workplace type, employment type, experience level, and salary
- Human-readable and ISO posting dates, expiration date, and applicant count
- Plain-text and HTML descriptions
- Apply URL, benefits, industries, and job functions
- Search provenance and scrape timestamp

Fields remain `null` or empty when LinkedIn does not publish them for a listing.

### Pricing

The Actor uses pay-per-event pricing. Platform usage is included.

| Event | Price |
| --- | ---: |
| Actor start | $0.005 per run |
| Job result — Free tier | $0.0015 |
| Job result — Bronze tier | $0.00135 |
| Job result — Silver tier | $0.0012 |
| Job result — Gold, Platinum, and Diamond tiers | $0.0011 |

At the Free-tier rate, 1,000 returned jobs cost approximately $1.505 including the run-start charge. Failed requests and jobs that are not written to the dataset are not charged as results.

### Responsible use

This Actor only requests publicly available, signed-out LinkedIn job pages. Use reasonable limits and delays, respect applicable laws and LinkedIn's terms, and do not use scraped data for spam, discrimination, or automated decisions about individuals.

LinkedIn can rate-limit repeated requests. Residential proxies are enabled by default, sessions are sticky per search, failed proxy tunnels rotate automatically, and browser-level TLS/header impersonation is used without solving CAPTCHAs.

### Development and deployment

```bash
npm ci
npm test
npm run lint
```

Add `APIFY_API_TOKEN` as an encrypted GitHub Actions secret. Pull requests run tests and linting; pushes to `main` or `master` deploy the Actor.

# Actor input Schema

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

Job title, skill, company, or other search phrase.

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

City, region, country, or Remote. Leave empty to search all locations.

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

Maximum number of job listings saved for each keyword/location search.

## `includeDescription` (type: `boolean`):

Visit each public job page to collect the full description, criteria, and apply URL.

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

Only return jobs published in the selected time window.

## `sortBy` (type: `string`):

Order results by LinkedIn relevance or publication time.

## `experienceLevel` (type: `array`):

Optional LinkedIn experience-level filters.

## `jobType` (type: `array`):

Optional employment-type filters.

## `workplaceType` (type: `array`):

Optional on-site, remote, or hybrid filters.

## `easyApplyOnly` (type: `boolean`):

Only request listings marked with LinkedIn Easy Apply.

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

Optional public linkedin.com/jobs/view or linkedin.com/jobs/search URLs.

## `saveOnlyUniqueItems` (type: `boolean`):

Deduplicate listings by LinkedIn job ID across all searches.

## `maxPages` (type: `integer`):

Advanced limit for 25-item LinkedIn result pages.

## `requestDelaySecs` (type: `number`):

Seconds to wait between search result requests.

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

Residential proxies are recommended for reliable LinkedIn collection.

## Actor input object example

```json
{
  "keywords": "",
  "location": "",
  "maxItems": 100,
  "includeDescription": true,
  "datePosted": "anyTime",
  "sortBy": "relevance",
  "experienceLevel": [],
  "jobType": [],
  "workplaceType": [],
  "easyApplyOnly": false,
  "startUrls": [],
  "saveOnlyUniqueItems": true,
  "requestDelaySecs": 1.5,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

## `dataset` (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("crabwalker/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 = {}

# Run the Actor and wait for it to finish
run = client.actor("crabwalker/linkedin-jobs-scraper").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 '{}' |
apify call crabwalker/linkedin-jobs-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/q662I70X8oVX98NdB/builds/TEYbwnf2QBhrCxVkA/openapi.json