# LinkedIn Jobs Scraper – Fresh Jobs, Strict Filters (`yearly_register/linkedin-jobs-scraper-fresh-jobs-strict-filters`) Actor

Scrape public LinkedIn jobs without login or cookies. Search by keyword and location, filter by posting age, employment type, and title, and export structured job data with full descriptions, stable job IDs, duplicate removal, and predictable pay-per-result pricing.

- **URL**: https://apify.com/yearly\_register/linkedin-jobs-scraper-fresh-jobs-strict-filters.md
- **Developed by:** [Automation Tech](https://apify.com/yearly_register) (community)
- **Categories:**
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 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/actors/running/actors-in-store.md#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

Scrape public LinkedIn job listings without a LinkedIn account. Search by keywords and location, filter by posting age and employment type, and get structured job details including descriptions.

### Key benefits

- No LinkedIn login or cookies required
- Public LinkedIn job data
- Posting-age filters: 24h, week, month, any
- Employment type filtering
- Title include/exclude filters
- Stable LinkedIn job IDs
- Duplicate removal
- Full job descriptions
- Best-effort seniority/workplace metadata
- Designed for scheduled and API use

### Input

| Field | Type | Description |
| --- | --- | --- |
| `keywords` | string | Job search keywords. |
| `location` | string | Job search location. |
| `maxResults` | integer | Maximum number of results to return, from 1 to 100. |
| `postedWithin` | `24h` | `week` | `month` | `any` | Restrict results by public posting age. |
| `employmentTypes` | string array | Keep matching employment types, such as `Full-time`. |
| `titleInclude` | string array | Keep titles containing any supplied phrase. |
| `titleExclude` | string array | Exclude titles containing any supplied phrase. |

```json
{
  "keywords": "Software Engineer",
  "location": "United States",
  "maxResults": 25,
  "postedWithin": "24h",
  "employmentTypes": ["Full-time"],
  "titleExclude": ["principal"]
}
```

### Output

Each delivered job is a structured dataset item.

```json
{
  "jobId": "4419969671",
  "jobUrl": "https://www.linkedin.com/jobs/view/example-4419969671",
  "title": "Software Engineer",
  "companyName": "Example Company",
  "location": "New York, NY",
  "postedAt": "2026-08-29",
  "descriptionText": "Build and maintain software products.",
  "employmentType": "Full-time",
  "seniorityLevel": "Mid-Senior level",
  "workplaceType": null,
  "scrapedAt": "2026-08-29T12:00:00.000Z"
}
```

| Field | Description |
| --- | --- |
| `jobId` | Stable LinkedIn job ID. |
| `jobUrl` | Public LinkedIn job listing URL. |
| `title` | Job title. |
| `companyName` | Hiring company name. |
| `location` | Public job location. |
| `postedAt` | Public posting date when available. |
| `descriptionText` | Full public job description. |
| `employmentType` | Employment type when available. |
| `seniorityLevel` | Best-effort seniority metadata. |
| `workplaceType` | Best-effort workplace metadata. |
| `scrapedAt` | Timestamp when the listing was scraped. |

`seniorityLevel` and `workplaceType` are best-effort fields because LinkedIn does not expose them consistently. Unknown values are returned as `null`.

### Use cases

- Monitor newly posted roles for a market, team, or hiring workflow
- Build scheduled job-market datasets
- Feed job listings into internal tools, spreadsheets, or APIs
- Track keyword and location demand over time

### How it works

The Actor searches LinkedIn's public guest job listings, removes duplicate job IDs, retrieves public job details, and applies your requested posting-age, employment-type, and title filters before delivering matching results. No LinkedIn account is required.

### Pricing

Users are charged per successfully delivered job result.

### Limitations

- Results come from LinkedIn's public guest job listings.
- `maxResults` currently supports 1–100.
- Public fields can be unavailable or change; unavailable values are returned as `null`.
- Seniority and workplace metadata are best-effort only and are not available for every listing.

### FAQ

#### Do I need a LinkedIn account?

No. This Actor uses LinkedIn's public guest job listings and does not require a LinkedIn account, login, or cookies.

#### Can I filter for remote or hybrid jobs?

No. Workplace metadata may be returned when publicly available, but workplace filtering is not offered in V1.

#### Can I filter by seniority?

No. Seniority may be returned as best-effort metadata, but seniority filtering is not offered in V1.

#### What is the maximum result count?

`maxResults` currently supports values from 1 to 100.

### Responsible use and compliance

This Actor accesses publicly available LinkedIn guest job listings only. You are responsible for ensuring your use complies with applicable laws, regulations, contractual obligations, platform terms, and internal policies.

- Do not use this Actor for unlawful discrimination, harassment, stalking, spam, fraud, or other abusive purposes.
- Do not use it to circumvent authentication, access controls, paywalls, or technical restrictions.
- Collect only data reasonably necessary for your purpose and handle exported data responsibly. If public job listings contain personal data, process it in accordance with applicable privacy and data-protection laws.
- Copyright and fair-use exceptions vary by jurisdiction and use case. This Actor does not grant rights to republish or commercially exploit third-party content; you are responsible for determining whether your intended use is permitted.

This documentation is informational and not legal advice.

This Actor is not affiliated with or endorsed by LinkedIn.

# Actor input Schema

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

Job search keywords.

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

Job search location.

## `maxResults` (type: `integer`):

Maximum candidate listings to retrieve, from 1 to 100.

## `postedWithin` (type: `string`):

Reject results whose public posting date is outside this window.

## `employmentTypes` (type: `array`):

Allowed exact employment types; unknown values are rejected.

## `titleInclude` (type: `array`):

Keep titles containing any supplied phrase.

## `titleExclude` (type: `array`):

Reject titles containing any supplied phrase.

## Actor input object example

```json
{
  "keywords": "software engineer",
  "location": "United States",
  "maxResults": 5,
  "postedWithin": "week"
}
```

# 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 = {
    "keywords": "software engineer",
    "location": "United States",
    "maxResults": 5,
    "postedWithin": "week"
};

// Run the Actor and wait for it to finish
const run = await client.actor("yearly_register/linkedin-jobs-scraper-fresh-jobs-strict-filters").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": "United States",
    "maxResults": 5,
    "postedWithin": "week",
}

# Run the Actor and wait for it to finish
run = client.actor("yearly_register/linkedin-jobs-scraper-fresh-jobs-strict-filters").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": "United States",
  "maxResults": 5,
  "postedWithin": "week"
}' |
apify call yearly_register/linkedin-jobs-scraper-fresh-jobs-strict-filters --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,yearly_register/linkedin-jobs-scraper-fresh-jobs-strict-filters"
        }
    }
}

```

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/GVgciqySHggggvg5Q/builds/iWmFvPJmrOgrvK0cW/openapi.json