# LinkedIn Jobs Search Scraper (`bgfc97/linkedin-jobs-search-scraper`) Actor

🔥 Up to 30% OFF! Scrape LinkedIn job listings — no login needed. Search by keyword & location and get title, company, logo, location, posted date, employment type, seniority, job function, industries, applicants & full description. Fast & reliable, pay per job.

- **URL**: https://apify.com/bgfc97/linkedin-jobs-search-scraper.md
- **Developed by:** [Bruno](https://apify.com/bgfc97) (community)
- **Categories:** Jobs
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.20 / 1,000 job scrapeds

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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 Search Scraper

**Scrape LinkedIn job postings by keyword and location — no login, no cookies.** Give it what you'd type into LinkedIn's job search (`keywords` + `location`) and get back a clean, structured list of jobs: title, company, location, posted date, full description, seniority, employment type, job function, industries and applicant count.

Great for **job market research, recruiting, lead generation, salary/skills analysis, and building a job board**. Pay only for what you scrape — no monthly minimum.

### What it does

- Searches LinkedIn's **public guest job search** (the results anyone can see without an account).
- Paginates automatically until it reaches your `maxJobs` or runs out of results.
- Optionally opens each job for the **full description and job criteria**.
- Filters by **remote**, **date posted** (24h / week / month) and **experience level**.

### Input

| Field | Type | Description |
|-------|------|-------------|
| `keywords` | string | Search terms, e.g. `software engineer`, `product manager`. |
| `location` | string | City / region / country, e.g. `Berlin`, `United States`, `Remote`. |
| `maxJobs` | integer | How many jobs to scrape (default `50`). |
| `fetchDescription` | boolean | Fetch full description + criteria per job (default `true`). Turn off for a faster, cards-only run. |
| `remote` | boolean | Only jobs flagged Remote. |
| `datePosted` | select | `any`, `past24h`, `week`, `month`. |
| `experienceLevel` | select | `any`, `internship`, `entry`, `associate`, `mid_senior`, `director`, `executive`. |

#### Example input

```json
{
  "keywords": "software engineer",
  "location": "Berlin",
  "maxJobs": 50,
  "fetchDescription": true,
  "datePosted": "week"
}
```

### Output

One record per job:

```json
{
  "jobId": "4463496178",
  "title": "Senior Software Developer",
  "company": "JetBrains",
  "companyUrl": "https://www.linkedin.com/company/jetbrains",
  "location": "Berlin, Berlin, Germany",
  "postedDate": "2026-09-30",
  "postedDateText": "3 days ago",
  "jobUrl": "https://www.linkedin.com/jobs/view/4463496178/",
  "description": "Wer wir sind ...",
  "seniority": "Mid-Senior level",
  "employmentType": "Full-time",
  "jobFunction": "Engineering and Information Technology",
  "industries": "Software Development",
  "applicants": 75,
  "scrapedAt": "2026-10-04T12:00:00.000Z"
}
```

### Proxy & reliability

LinkedIn is aggressive about anti-bot, so this Actor uses an **Apify Residential proxy** by default, realistic browser headers, low concurrency and automatic retry/back-off with session rotation. Proxy/platform usage is billed to your account (standard Apify PPE). If residential isn't available it falls back to auto/datacenter, which LinkedIn may block.

### Pricing

Pay-per-result: **$0.002 per job scraped**. No run minimum — a 50-job run costs about **$0.10** plus proxy usage.

### ⭐ Enjoying this Actor?

If it saved you time, please leave an **honest review** — it helps us a lot. Found a bug or want a feature? **Open an Issue** and we'll jump on it fast.

# Actor input Schema

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

Job search keywords, e.g. "software engineer", "product manager", "data analyst". Matches LinkedIn's public job search.

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

City, region or country to search in, e.g. "Berlin", "London", "United States", "Remote".

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

Maximum number of job postings to scrape. The Actor paginates LinkedIn's guest search until it reaches this count or runs out of results.

## `fetchDescription` (type: `boolean`):

If enabled, opens each job to collect the full description, seniority level, employment type, job function, industries and applicant count. Disable for a faster, lighter run (cards only).

## `remote` (type: `boolean`):

Only return jobs flagged as Remote by LinkedIn.

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

Filter by how recently the job was posted.

## `experienceLevel` (type: `string`):

Filter by seniority / experience level.

## Actor input object example

```json
{
  "keywords": "software engineer",
  "location": "Berlin",
  "maxJobs": 50,
  "fetchDescription": true,
  "remote": false,
  "datePosted": "any",
  "experienceLevel": "any"
}
```

# Actor output Schema

# 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",
    "location": "Berlin"
};

// Run the Actor and wait for it to finish
const run = await client.actor("bgfc97/linkedin-jobs-search-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",
    "location": "Berlin",
}

# Run the Actor and wait for it to finish
run = client.actor("bgfc97/linkedin-jobs-search-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",
  "location": "Berlin"
}' |
apify call bgfc97/linkedin-jobs-search-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,bgfc97/linkedin-jobs-search-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/Rbm9sDI4V6tXtT6Kt/builds/h9VHnQzm13kBxYYuU/openapi.json