# LinkedIn Jobs Scraper: Job Postings, Companies & Apply Links (`juramoshkov/linkedin-jobs-scraper`) Actor

Collect LinkedIn job postings by keyword and location without a LinkedIn account: one row per job with title, company, location, salary when shown, posting date, remote flag and apply links. Query like "data analyst in New York, NY". No cookies, no login.

- **URL**: https://apify.com/juramoshkov/linkedin-jobs-scraper.md
- **Developed by:** [Jura Moshkov](https://apify.com/juramoshkov) (community)
- **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 postings

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?

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 Scraper: Job Postings, Companies & Apply Links

Collect LinkedIn job postings by keyword and location without a LinkedIn account: one row per job with title, company, location, salary when shown, posting date, remote flag and apply links. Query like "data analyst in New York, NY". No cookies, no login.

- **Search like on Google**: "job in place", one line per search, as many lines as you like.
- **Filters**: posted within (24h / 3 days / week / month), remote only, full-time / part-time / contract / internship, experience level, country, radius.
- **Pay per job**: $1-2 per 1,000 jobs, duplicates never billed.
- **Clean export**: flat rows, ready for CSV, Excel, Google Sheets or your ATS.

### What is a LinkedIn jobs scraper?

This actor collects job postings published on LinkedIn by keyword and location, and returns one flat row per job with the company, location, salary when shown, posting date and LinkedIn apply link. It reads LinkedIn postings through Google for Jobs, so it needs **no LinkedIn account and no cookies**, and your account is never at risk.

**Coverage:** LinkedIn postings only. Rows from other boards are filtered out and never billed.

### What you get per job

| Field | Example |
|---|---|
| Title, company, company website and logo | "Entry-Level Data Analyst", Emonics LLC |
| Board and all apply links | LinkedIn + every other board the job is on |
| Location, city, state, country, coordinates, remote flag | New York, NY |
| Employment type | Full-time |
| Posting date (ISO) and "x days ago" | 2026-09-21T00:00:00.000Z |
| Salary min, max, period and original text | when the posting shows one (mostly US) |
| Benefits | health insurance, paid time off, ... |
| Full description | optional, switch off for lighter exports |
| Google Jobs link, O\*NET code, the search it came from | |

#### Example output row

```json
{
  "title": "Entry-Level Data Analyst",
  "company": "Emonics LLC",
  "publisher": "LinkedIn",
  "location": "New York, NY",
  "isRemote": false,
  "employmentType": "Full-time",
  "postedAt": "2026-09-21T00:00:00.000Z",
  "salaryMin": null,
  "salaryMax": null,
  "salaryPeriod": null,
  "salaryText": null,
  "applyLink": "https://www.linkedin.com/jobs/view/entry-level-data-analyst-at-emonics-llc-4467684654",
  "companyWebsite": "https://emonics.com",
  "query": "data analyst in New York, NY",
  "applyOptions": [
    {
      "publisher": "LinkedIn",
      "link": "https://www.linkedin.com/jobs/view/entry-level-data-analyst-at-emonics-llc-4467684654",
      "isDirect": false
    }
  ],
  "description": "Entry Level Data Analyst\n\nWe are seeking a Junior Data Analyst to collect, process, and analyze data to support business..."
}
```

### How much does it cost?

Pay per result: $0.002 per job on the Apify Free plan, $0.0015 on Bronze, $0.0012 on Silver and **$0.001 on Gold and above**. That is **$1-2 per 1,000 jobs**. You pay only for jobs delivered. A posting that shows up in two of your searches is billed once. Set **Max spend** and the run stops on its own before crossing it.

### How to use it

1. Enter one or more searches, e.g. `data analyst in New York, NY`.
2. Optionally set filters: posted within, remote only, employment type, experience, country.
3. Set **Max jobs** (default 50) and run. Export as JSON, CSV or Excel, or pull it over the API.

A search usually returns 40-60 LinkedIn postings. For more, add one line per city or per job title.

### How do I use it with an AI agent (MCP)?

This actor is available as a tool through the [Apify MCP server](https://mcp.apify.com/). An agent can call it with a plain input filled straight from the schema:

```json
{"queries": ["data analyst in New York, NY"], "maxResults": 100, "datePosted": "week"}
```

The output is one flat JSON object per job, with no nesting to unwrap.

### Example searches

- `data analyst in New York, NY`
- `product manager in San Francisco, CA`
- `data engineer in Boston, MA`
- `sales development representative remote`
- `marketing manager in London`

### Common use cases

- **Recruiting and sourcing**: see who is hiring for a role in a city this week.
- **Sales prospecting**: companies that are hiring are companies with budget. Build lead lists from job postings.
- **Job market and salary research**: track postings and salary ranges by title, city and seniority.
- **Job boards and aggregators**: feed fresh postings into your own site or newsletter.
- **Career tools and AI agents**: give an assistant live job search results.

### Is it legal?

It collects publicly posted job listings: the same data anyone sees in Google search without logging in. It does not log in anywhere, use your accounts, or collect personal data about job seekers. You are responsible for how you use the results; respect each board's terms and the law in your market.

### FAQ

#### How do I scrape LinkedIn jobs without logging in?

Enter a search such as `data analyst in New York, NY` and run. You get one row per posting with the title, company, salary, location, date and apply link, ready to export.

#### Do I need an account, cookies or proxies?

No. There is nothing to log into and no proxy to configure.

#### How fresh are the jobs?

Searches run live when you start the actor. Use **Posted within** to keep only jobs from the last 24 hours, 3 days, week or month.

#### Does it work outside the US?

Yes. Set **Country** (e.g. `gb`, `de`, `ca`) and write the search in that country's language. Salaries are mostly published on US postings.

#### Why did I get fewer jobs than Max jobs?

The search ran out of postings. Split it into more lines (other cities, other titles) to widen it; you are never billed for jobs that were not delivered.

#### How much does 1,000 jobs cost?

$1-2, depending on your Apify plan.

# Actor input Schema

## `queries` (type: `array`):

One "job in place" phrase per line, the way you would type it into Google, e.g. "registered nurse in Chicago, IL" or "python developer remote". Each line is searched on its own. A run with no input searches the first example.

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

Jobs to return across the whole run. Duplicates across searches are dropped and never billed.

## `maxBudgetUsd` (type: `integer`):

Hard ceiling on what this run can charge. It is turned into a job count before the first search, so the run stops on its own rather than billing past it. Set 0 to rely on Max jobs alone.

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

Only jobs posted in this window.

## `remoteOnly` (type: `boolean`):

Return only postings marked remote.

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

Leave empty for all types.

## `experience` (type: `array`):

Leave empty for any experience level.

## `country` (type: `string`):

Two-letter country code to search in, e.g. "us", "gb", "de", "ca". Leave empty for the United States. Salaries are mostly published for US postings.

## `language` (type: `string`):

Optional language code for the results, e.g. "en", "de".

## `radiusKm` (type: `integer`):

Optional distance from the place in the search.

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

Turn off for smaller, faster exports when you only need titles, companies and links.

## Actor input object example

```json
{
  "queries": [
    "data analyst in New York, NY",
    "product manager in San Francisco, CA"
  ],
  "maxResults": 50,
  "maxBudgetUsd": 5,
  "datePosted": "all",
  "remoteOnly": false,
  "includeDescription": true
}
```

# Actor output Schema

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

No description

## `resultsCsv` (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 = {
    "queries": [
        "data analyst in New York, NY",
        "product manager in San Francisco, CA"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("juramoshkov/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 = { "queries": [
        "data analyst in New York, NY",
        "product manager in San Francisco, CA",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("juramoshkov/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 '{
  "queries": [
    "data analyst in New York, NY",
    "product manager in San Francisco, CA"
  ]
}' |
apify call juramoshkov/linkedin-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,juramoshkov/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/FBYyh0qyDvmmOeNaB/builds/ZeWp5erLkkRhVIDfU/openapi.json