# LinkedIn Jobs Scraper — Full Details (`moganes/linkedin-jobs-scraper`) Actor

Scrape LinkedIn jobs with full details: description, seniority, employment type, job function, industries, salary when listed. Filter by keywords, location, remote/hybrid, date posted, experience and job type. No cookies or login. For recruiters, job boards and lead gen.

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

## Pricing

Pay per event

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 Scraper — Full Details

**Search LinkedIn jobs and get the complete picture in one run**: full description (text + HTML), seniority, employment type, job function, industries, salary when listed, posting dates, and clean canonical URLs. No cookies, no login, no LinkedIn account risk.

### Why this one

- **Complete records, one pass** — most scrapers return listing cards only; this one fetches every job's full details by default
- **Filters that map to LinkedIn's own** — remote/on-site/hybrid, date posted, experience level, job type
- **Honest limits** — LinkedIn's public search exposes at most ~1,000 results per query; the actor tells you when you hit it instead of silently stopping. Narrow filters (location, date) reach deeper.
- **Clean output** — tracking parameters stripped from URLs, entities decoded, description as both readable text and HTML
- **Transparent pricing** — pay per job scraped, nothing else

### Input

| Field | Description |
| --- | --- |
| **Keywords** | e.g. `software engineer`, `marketing manager` |
| **Location** | City, region or country (`London`, `United States`) |
| **Workplace type** | Any / Remote / On-site / Hybrid |
| **Date posted** | Any / 24h / week / month |
| **Experience level** | Internship → Executive |
| **Job type** | Full-time, part-time, contract, temporary, internship |
| **Max jobs** | Up to 1,000 per query |
| **Fetch full details** | On by default; turn off for fast card-only scraping |

### Output (per job)

```json
{
  "id": "4447390510",
  "url": "https://uk.linkedin.com/jobs/view/software-development-engineer-at-sovasage-inc-4447390510",
  "title": "Software Development Engineer",
  "company": "SovaSage Inc",
  "location": "London, England, United Kingdom",
  "postedDate": "2026-08-05",
  "salary": null,
  "seniority": "Not Applicable",
  "employmentType": "Full-time",
  "jobFunction": "Engineering and Information Technology",
  "industries": "Software Development",
  "applicants": "Over 200 applicants",
  "descriptionText": "…",
  "descriptionHtml": "…"
}
```

### Who uses this

- **Recruiters & sourcers** — market mapping, feeding ATS/CRM pipelines
- **Job boards & aggregators** — fresh listings with full descriptions
- **Sales teams** — hiring signals as buying intent (who's hiring for what)
- **Analysts & researchers** — labor-market trends, salary transparency tracking

### FAQ

**Does it need my LinkedIn account?** No — it reads LinkedIn's public, logged-out job listings. Your account is never involved.

**How fresh is the data?** Live at run time.

**Scheduled monitoring?** Attach the actor to an Apify Schedule (e.g. daily with `datePosted: day`) for a rolling feed of new postings.

**Something broken?** LinkedIn changes markup regularly. Open an issue — this actor is maintained daily and fixes usually ship within 24 hours.

### Disclaimer

*This Actor is not affiliated with, endorsed by, or sponsored by LinkedIn Corporation. It collects only publicly available job listings that LinkedIn serves to logged-out visitors, and never uses or requires a LinkedIn account.*

# Actor input Schema

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

Job search keywords, e.g. "software engineer" or "marketing manager".

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

City, region, or country, e.g. "London", "United States", "Berlin".

## `remote` (type: `string`):

Filter by workplace arrangement.

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

Only jobs posted within this window.

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

Filter by seniority.

## `jobType` (type: `string`):

Filter by employment type.

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

Maximum jobs to scrape. LinkedIn's public search exposes at most ~1,000 results per query — narrow the filters to reach deeper.

## `fetchDetails` (type: `boolean`):

Fetch each job's full description, seniority, employment type, function, and industries (slower, one request per job). Off = listing cards only.

## Actor input object example

```json
{
  "keywords": "software engineer",
  "location": "London",
  "remote": "any",
  "datePosted": "any",
  "experienceLevel": "any",
  "jobType": "any",
  "maxJobs": 50,
  "fetchDetails": true
}
```

# 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": "London"
};

// Run the Actor and wait for it to finish
const run = await client.actor("moganes/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": "London",
}

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

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,moganes/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/O6ee7gHCH2xs4FGDm/builds/OGQHKSMEzwcloXBfT/openapi.json