# LinkedIn Jobs Scraper — Keyword & Location Search (`mind_momentum/linkedin-jobs`) Actor

Extract LinkedIn job listings without login: title, company, location, posted date, URL. Search by keyword and optional location, up to ~1,000 results per query.

- **URL**: https://apify.com/mind\_momentum/linkedin-jobs.md
- **Developed by:** [Mind Momentum](https://apify.com/mind_momentum) (community)
- **Categories:** Jobs
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 results

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 — Keyword & Location Search

Scrape job listings from **LinkedIn Jobs** — the world's largest professional job
board — **with no login, no cookies, and no account**. Get clean, structured job
postings with **title, company, location, posted date, and URL** for any keyword
and location. Ideal for recruiting pipelines, market mapping, and job-market
monitoring.

### What you get

One dataset item per job posting:

| Field | Type | Description |
|-------|------|-------------|
| title | string | Job title exactly as posted |
| company | string | Employer name |
| location | string/null | City/region as shown on the listing |
| salary | string/null | Salary text when the listing shows one (rare on search results — usually `null`, never fabricated) |
| posted | string/null | Posting date (ISO `YYYY-MM-DD`) |
| url | string | Canonical link to the job posting |

### Input

| Field | Type | Description |
|-------|------|-------------|
| keyword | string (required) | Search keyword, e.g. `software engineer` or `marketing` |
| location | string | Optional location as free text, e.g. `United States`, `Austin, Texas`, `London`. Leave empty for worldwide results |
| max\_pages | integer | Pages to crawl — the first page returns ~60 listings, each further page ~10 (default 5, max 100) |
| proxyConfiguration | object | Residential proxy (default on the Apify platform) |

**Advanced filters:** since LinkedIn's 2026 search update, experience level, job
type and remote/on-site are expressed in the keyword itself (e.g. `senior remote
python developer`), and recent postings can be targeted with words like `posted
this week`. Keep the keyword natural-language.

### How much data per run?

A default run (5 pages) yields **~100 unique job postings**. LinkedIn limits any
single guest search to roughly **1,000 results**, so a single query tops out there
regardless of `max_pages`. For broader coverage, fan out across **locations and
keywords** — each run is fast and you pay only per result.

Schedule runs daily or weekly for job-board monitoring: postings churn fast, and
the `posted` date makes delta-tracking trivial.

### Pricing

Pay-per-event: **$1 per 1,000 results** + $0.005 per actor start.
A typical default run (~100 results) costs about $0.105.

### Notes

- **No LinkedIn account, cookies, or login required** — the actor uses LinkedIn's
  public job-search pages.
- Residential proxy is used automatically on the Apify platform. Keep the default
  proxy settings.
- Requests are throttled politely to stay reliable at scale.
- Results are deduplicated by job ID and URL before output.
- Salary is only present when a listing shows it publicly; otherwise the field is
  `null` (never invented).

```json
[
  {
    "title": "Marketing Executive",
    "company": "Magnum Tuff India Private Limited",
    "location": "New Market, OH",
    "salary": null,
    "posted": "2026-08-08",
    "url": "https://in.linkedin.com/company/magnum-tuff-india-private-limited"
  },
  {
    "title": "Marketing and Communications",
    "company": "NewsletterJobs.io",
    "location": "Indiana, United States",
    "salary": null,
    "posted": "2026-08-07",
    "url": "https://www.linkedin.com/company/newsletterjobs-io"
  },
  {
    "title": "Local Store Marketer",
    "company": "Texas Roadhouse",
    "location": "Port Arthur, TX",
    "salary": null,
    "posted": "2026-08-13",
    "url": "https://www.linkedin.com/company/texas-roadhouse"
  }
]
```

# Actor input Schema

## `keyword` (type: `string`):

Search keyword, e.g. 'marketing' or 'java developer'.

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

Optional location filter as free text, e.g. 'United States', 'Austin, Texas' or 'London'. Leave empty for worldwide results.

## `max_pages` (type: `integer`):

Pages to crawl. The first page returns ~60 listings, each further page ~10. LinkedIn limits guest search to ~1,000 results per query, so very high values stop at that cap.

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

Residential proxy used on the Apify platform to bypass datacenter-IP WAF blocks. Leave default unless you know you need custom proxy settings.

## Actor input object example

```json
{
  "max_pages": 5
}
```

# Actor output Schema

## `results` (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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("mind_momentum/linkedin-jobs").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 = {}

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

```

## MCP server setup

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

```

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/KM8CMITaC4CU1Lq54/builds/udMwv1fhaCyUPG8D2/openapi.json