# LinkedIn Jobs Scraper (No Cookies Required) (`axery/linkedin-jobs-scraper`) Actor

Fast, lightweight HTTP scraper for LinkedIn job listings. Extract job titles, companies, locations, posted dates, urgency tags, and full job descriptions without cookies or login.

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

## Pricing

from $1.50 / 1,000 linkedin job extracteds

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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 (No Cookies Required) 💼

Extract verified **LinkedIn job postings** with full titles, company details, locations, posting dates, seniority levels, employment types, and complete job descriptions.

🚀 **Zero Cookies & Zero Login Required**: Uses public guest endpoints. You never risk your personal LinkedIn account being restricted or banned.

***

### ⚡ Key Features

- **No LinkedIn Account Needed**: 100% cookie-free and login-free execution.
- **Rich Job Details**: Scrapes job title, company name, company LinkedIn URL, company logo, location, and posting date.
- **Full Job Description & Criteria**: Includes seniority level (Entry level, Mid-Senior, Executive), employment type (Full-time, Contract, Part-time), job functions, and industry categories.
- **Time Filtering**: Filter by any time, past 24 hours, past week, or past month.
- **Ultra-Fast & HTTP-Only**: No heavy headless browser overhead. Runs in milliseconds on 256 MB RAM.

***

### 📥 Input Parameters

| Field | Type | Description | Default |
| :--- | :--- | :--- | :--- |
| `keywords` | String | **Required**. Job title, skill, or keyword (e.g. `Software Engineer`, `Data Analyst`, `Product Manager`). | `"Software Engineer"` |
| `location` | String | Target city, country, or `Remote` (e.g. `United States`, `London`, `Remote`, `Singapore`). | `"United States"` |
| `maxItems` | Integer | Maximum number of job postings to extract (1 to 200). | `50` |
| `datePosted` | String | Posting time filter: `all`, `past24h`, `pastWeek`, `pastMonth`. | `"all"` |
| `includeDescription` | Boolean | Fetch detailed job description, criteria, and seniority level. | `true` |
| `proxyConfiguration` | Object | Optional proxy configuration. | None (Direct) |

***

### 📤 Output Format

Each record in the dataset represents a single LinkedIn job posting:

```json
{
  "jobId": "4462938317",
  "title": "Python Developer (English Required)",
  "company": "SOTATEK., JSC",
  "companyUrl": "https://vn.linkedin.com/company/sota-tek",
  "location": "Hanoi Capital Region",
  "postedDate": "2026-09-07",
  "urgency": "Be an early applicant",
  "jobUrl": "https://vn.linkedin.com/jobs/view/python-developer-english-required-at-sotatek-jsc-4462938317",
  "logoUrl": "https://media.licdn.com/dms/image/v2/.../sota_tek_logo",
  "seniorityLevel": "Entry level",
  "employmentType": "Full-time",
  "jobFunction": "Engineering and Information Technology",
  "industries": "Software Development",
  "description": "JOB VACANCY\nPosition: Python Developer\nLevel: Junior - Senior\nWorking model: Fulltime...",
  "searchKeywords": "Python Developer",
  "searchLocation": "Remote"
}
```

# Actor input Schema

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

Job title, keywords, or company name to search on LinkedIn (e.g. 'Software Engineer', 'Data Analyst').

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

City, state, country, or 'Remote' (e.g. 'United States', 'New York', 'Remote', 'London').

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

Maximum number of job listings to extract (1 to 200).

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

Filter jobs by when they were posted.

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

If enabled, fetches full job description, seniority level, employment type, and industry criteria.

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

Optional proxy settings. Standard or residential proxies can be used for high-volume jobs.

## Actor input object example

```json
{
  "keywords": "Software Engineer",
  "location": "United States",
  "maxItems": 50,
  "datePosted": "all",
  "includeDescription": true
}
```

# Actor output Schema

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

Dataset containing scraped LinkedIn job postings.

# 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"
};

// Run the Actor and wait for it to finish
const run = await client.actor("axery/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",
    "location": "United States",
}

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

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,axery/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/IfBOisHVDUWwQD7Xu/builds/T352hVtOFgiFcsHAk/openapi.json