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

Bounded unofficial public LinkedIn Jobs search retrieval with strict inputs, public-field-only output, and transparent source-risk acknowledgement.

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

## Pricing

$3.00 / 1,000 checked linkedin jobs searches

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/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 Search Scraper

UNOFFICIAL / NOT AFFILIATED: this Actor is not affiliated with, endorsed by, sponsored by, or approved by LinkedIn or Microsoft.

This is a bounded direct public LinkedIn Jobs search/data-retrieval Actor. It accepts one to five strict `keywords` and optional `location` search objects, requires `acceptSourceRisk: true`, and sends valid requests only to `https://www.linkedin.com/jobs/search`.

LinkedIn may block, change, remove, or gate the public source at any time. Buyers are responsible for making sure their use is authorized, lawful, and compliant with applicable terms and policies.

### What It Does

- Uses unauthenticated transparent HTTP only through `fetchPublicText`.
- Uses the fixed source `https://www.linkedin.com/jobs/search`.
- Allows no arbitrary URLs, login, cookies, CAPTCHA solving, browser fingerprinting, proxies, alternate providers, private endpoints, retries, or escalation.
- Limits source response reads to 512 KiB, 8 seconds, and zero redirects.
- Stops all source access if Apify PPE returns `chargedCount === 0` or `eventChargeLimitReached`.

### Input

- `acceptSourceRisk`: must be `true`.
- `searches`: 1 to 5 unique search objects.
- `keywords`: required plain search phrase, not a URL.
- `location`: optional plain location phrase, not a URL.

### Output

Each search returns at most 10 job rows. Rows include only this whitelist:

- query context: `keywords`, optional input `location`
- `title`
- `companyName`, when public in the search card
- `jobLocation`, when public in the search card
- `postedTimeLabel`
- public LinkedIn `jobUrl` with tracking parameters stripped
- `sourceUrl`
- `checkedAt`

The Actor excludes recruiter/person data, applicant data, contact fields, raw HTML, and job descriptions. Invalid inputs and blocked, login, non-OK, truncated, or unsupported-layout source responses produce structured error rows.

### Pricing

Candidate local hypothesis only, not a live marketplace claim: `checked-linkedin-jobs-search` at `$0.003` per valid source search, with a five-search run cap of `$0.015`.

The event is charged before each valid LinkedIn source fetch. If Apify returns `chargedCount === 0` or `eventChargeLimitReached`, the Actor stops before making that source request.

# Actor input Schema

## `acceptSourceRisk` (type: `boolean`):

Required. Confirms you understand this unofficial Actor uses LinkedIn's public jobs search page, which may block, change, or be unavailable, and that you are responsible for authorized and legal use.

## `searches` (type: `array`):

One to five explicit LinkedIn Jobs searches. No URLs are accepted. Each valid search is sent only to https://www.linkedin.com/jobs/search.

## Actor input object example

```json
{
  "acceptSourceRisk": false,
  "searches": [
    {
      "keywords": "security engineer",
      "location": "Berlin"
    }
  ]
}
```

# Actor output Schema

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

Rows include query context, title, public company name, public location, posted time label, tracking-stripped public job URL, source URL, checked timestamp, and warnings for errors.

# 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 = {
    "searches": [
        {
            "keywords": "security engineer",
            "location": "Berlin"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("enfex/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 = { "searches": [{
            "keywords": "security engineer",
            "location": "Berlin",
        }] }

# Run the Actor and wait for it to finish
run = client.actor("enfex/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 '{
  "searches": [
    {
      "keywords": "security engineer",
      "location": "Berlin"
    }
  ]
}' |
apify call enfex/linkedin-jobs-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/scXSlgL6gc5yXIZdi/builds/gskwaV3L5WtUEJ96P/openapi.json