# LinkedIn Jobs Scraper - Salaries Parsed, No Login (`devcolton/linkedin-jobs-scraper`) Actor

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

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-usage

## 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 — salaries parsed, no login

**LinkedIn Jobs Scraper** collects job postings from LinkedIn's public job search, with the **full description**, **salary as numbers**, **applicant count**, **seniority**, **employment type**, **industries**, the **job poster** when shown, and optional **company details** (website, size, industry, headquarters). No LinkedIn account or cookies needed.

### What can this Actor do?

- 💰 **Salaries for most US jobs, not just a few.** LinkedIn's own salary box appears on under 10% of postings, but most US job ads state the pay range in the description. This Actor reads both and returns `salaryMin`, `salaryMax`, `salaryCurrency` and `salaryPeriod` (hour or year), so you can filter and sort by pay.
- 🔎 **Search like on LinkedIn:** keywords, location, date posted, remote/hybrid/on-site, job type, experience level, Easy Apply, under 10 applicants. Or paste any LinkedIn job search URL.
- 📄 **Full job details:** description (text and HTML), seniority level, employment type, industries, applicant count, Easy Apply flag, job poster name and title.
- 🏢 **Company details (optional):** website, company size, industry, headquarters, founded year, followers.
- 🔔 **Only new jobs:** schedule it daily and get just the jobs it hasn't returned before.
- 🔓 **No login, no cookies:** uses LinkedIn's public, logged-out job pages, so your LinkedIn account is never involved.

### What data can I get?

| Field | Example |
|---|---|
| `title`, `company`, `location` | `Data Analyst`, `NYU Langone Health`, `New York, NY` |
| `salaryMin`, `salaryMax`, `salaryCurrency`, `salaryPeriod` | `78419`, `117628`, `USD`, `year` |
| `salaryText` | LinkedIn's own salary box, when shown: `$78,000.00/yr - $124,750.00/yr` |
| `applicants`, `applicantsText` | `61`, `61 applicants` (or `Over 200 applicants`) |
| `seniorityLevel`, `employmentType`, `industries`, `jobFunction` | `Mid-Senior level`, `Full-time`, `Hospitals and Health Care` |
| `postedDate`, `postedText`, `insight` | `2026-10-27`, `12 hours ago`, `Actively Hiring` |
| `easyApply` | `true` / `false` |
| `jobPosterName`, `jobPosterTitle`, `jobPosterProfileUrl` | When the poster is shown on the public page |
| `descriptionText`, `descriptionHtml` | Full job ad |
| `companyUrl`, `companyLogo` | LinkedIn company page and logo |
| `companyWebsite`, `companySize`, `companyIndustry`, `companyHeadquarters`, `companyFounded`, `companyType`, `companyFollowers`, `companyEmployeesOnLinkedIn` | With **Include company details** on |
| `url`, `id` | Job link and LinkedIn job ID |

### How to use LinkedIn Jobs Scraper

1. Click **Try for free** and sign in (new Apify accounts get free monthly credit).
2. Enter **keywords** (e.g. `data analyst`, `registered nurse`) and a **location** (e.g. `United States`, `Texas, United States`, `London, England, United Kingdom`).
3. Optional: set **date posted**, **workplace**, **job type** or **experience level**, or paste LinkedIn search URLs.
4. Click **Start**. 100 jobs with full details take about a minute.
5. Download from the **Output** tab (Excel, CSV, JSON), or schedule it for daily job alerts.

### Input example

```json
{
  "keywords": ["data analyst", "business analyst"],
  "location": "United States",
  "datePosted": "24h",
  "workplaceTypes": ["remote"],
  "maxItemsPerSearch": 200,
  "includeDetails": true,
  "includeCompanyDetails": true
}
```

### Output example

```json
{
  "id": "4467458006",
  "title": "BU Data Analyst II",
  "company": "SchoolsFirst Federal Credit Union",
  "location": "Tustin, CA",
  "postedDate": "2026-10-27",
  "postedText": "12 hours ago",
  "salaryMin": 78419,
  "salaryMax": 117628,
  "salaryCurrency": "USD",
  "salaryPeriod": "year",
  "applicantsText": "Over 200 applicants",
  "seniorityLevel": "Not Applicable",
  "employmentType": "Full-time",
  "industries": "Financial Services",
  "easyApply": false,
  "companyWebsite": "http://www.schoolsfirstfcu.org/",
  "companySize": "1,001-5,000 employees",
  "companyHeadquarters": "Santa Ana, CA, US",
  "url": "https://www.linkedin.com/jobs/view/bu-data-analyst-ii-at-schoolsfirst-federal-credit-union-4467458006"
}
```

### How much does it cost?

Pay per result, proxies included:

- **$1.00 per 1,000 jobs** with full details (description, salary, applicants, seniority, poster).
- **$0.50 per 1,000 jobs** from search results only (turn off **Include job details**).
- **Company details are free:** no extra charge with **Include company details** on.

### Tips

- **More than 1,000 jobs:** LinkedIn shows about 1,000 results per search. Split a big search by location (states or cities) or by date posted.
- **Daily job feed:** set **Date posted** to *Past 24 hours*, turn on **Only new jobs since last run**, and schedule the Actor daily. Send results to Google Sheets, Slack or a webhook with Apify integrations.
- **Salary research:** filter the dataset on `salaryPeriod = year` and compare `salaryMin`/`salaryMax` across titles, companies or cities.

### Common questions

**Do I need a LinkedIn account or cookies?** No. The Actor only reads LinkedIn's public, logged-out job pages, so your account is never involved or at risk.

**Why don't all jobs have a salary?** Many employers don't publish pay. US states with pay-transparency laws (California, New York, Washington, Colorado and others) require it, so coverage is highest there: in tests, about 70% of US software engineering jobs had a salary, against under 10% from LinkedIn's own salary box.

**Job ads contain names. Anything to watch?** The job poster's name and title are shown publicly on some ads. If you store them, check the privacy rules that apply to you (such as GDPR).

### Other Actors by DevColton

| Actor | What it does |
|---|---|
| [idealo Shop Price Report](https://apify.com/DevColton/idealo-shop-price-report) | Where any shop's prices rank against every competitor on idealo |
| [Google Trends Explorer](https://apify.com/DevColton/google-trends-explorer) | Interest over time, by region and related queries for any keyword |
| [iStock & Getty Images Scraper](https://apify.com/DevColton/istock-getty-images-scraper) | Stock photo search results and keyword research |
| [Dreamstime Scraper](https://apify.com/DevColton/dreamstime-scraper) | Stock images with download counts, keywords and best sellers |
| [Seek, Jobstreet & JobsDB Jobs Scraper](https://apify.com/DevColton/seek-jobstreet-jobsdb-scraper) | Jobs from 8 Asia-Pacific countries with salaries and applicant counts |
| [Envato Market Scraper](https://apify.com/DevColton/envato-market-scraper) | ThemeForest and CodeCanyon items with sales, prices and ratings |
| [Tori, FINN, Blocket & DBA Scraper](https://apify.com/DevColton/tori-finn-blocket-dba-scraper) | Second-hand listings from Finland, Norway, Sweden and Denmark |
| [IKEA Products & Prices Scraper](https://apify.com/DevColton/ikea-products-prices-scraper) | IKEA prices in 41 countries, compared in USD |
| [idealo Scraper](https://apify.com/DevColton/idealo-price-comparison-scraper) | Prices and every shop's offer on idealo.de and idealo.at |
| [Coles & Woolworths Scraper](https://apify.com/DevColton/coles-woolworths-scraper) | Australian supermarket prices, specials and unit prices |
| [Career Site Jobs Scraper](https://apify.com/DevColton/ats-career-sites-jobs-scraper) | Jobs from Greenhouse, Lever, Ashby, Workday and SmartRecruiters career pages |
| [Bayt Jobs Scraper](https://apify.com/DevColton/bayt-jobs-scraper) | Jobs in the UAE, Saudi Arabia, Qatar and the Middle East |

### FAQ

#### Is it legal to scrape this data?

This Actor collects only publicly available data that anyone can see in a browser without logging in. It doesn't access accounts or private data. You're responsible for how you use the data: check the website's terms and the laws that apply to you, especially if you store personal information.

#### Can I use it with the API, Python, Google Sheets or Zapier?

Yes. You can start runs and fetch results through the [Apify API](https://docs.apify.com/api/v2) or the official [Python](https://docs.apify.com/api/client/python) and [JavaScript](https://docs.apify.com/api/client/js) clients, and send results to Google Sheets, Zapier, Make, n8n or a webhook.

#### Can I run it on a schedule?

Yes. In Apify Console, open **Schedules** to run it hourly, daily or weekly, and get the new data automatically.

#### Something isn't working, or I need a feature

Open an issue in the **Issues** tab. Issues get a quick reply, and feature requests are welcome. Custom scraping work is also possible; mention it in an issue.

# Actor input Schema

## `keywords` (type: `array`):

Job titles, skills or companies, one search per line.

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

Country, state or city as you'd type it on LinkedIn, e.g. 'United States', 'Texas, United States', 'London, England, United Kingdom', 'Remote'.

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

Only jobs posted within this period. 'Past 24 hours' on a daily schedule gives a fresh job feed.

## `workplaceTypes` (type: `array`):

On-site, remote or hybrid. Leave empty for all.

## `jobTypes` (type: `array`):

Leave empty for all.

## `experienceLevels` (type: `array`):

Leave empty for all.

## `searchUrls` (type: `array`):

Optional: paste job search URLs from linkedin.com/jobs/search with any filters set. Each URL is one search, in addition to the keywords above.

## `maxItemsPerSearch` (type: `integer`):

How many jobs to collect per keyword or URL. LinkedIn shows at most about 1,000 per search; split by location or date for more.

## `includeDetails` (type: `boolean`):

Full description, seniority, employment type, industries, applicant count, job poster and salary parsed from the description.

## `includeCompanyDetails` (type: `boolean`):

Company website, size, industry, headquarters, founded year and follower count (one extra request per company; no extra charge).

## `onlyNewJobs` (type: `boolean`):

Skips jobs returned by earlier runs in your account (tracked in a key-value store named 'linkedin-seen-jobs'). Ideal for scheduled monitoring.

## `sortBy` (type: `string`):

Newest first (best for monitoring) or most relevant.

## `easyApplyOnly` (type: `boolean`):

Only jobs with LinkedIn Easy Apply.

## `under10Applicants` (type: `boolean`):

Only jobs with under 10 applicants so far.

## `distanceMiles` (type: `integer`):

Search radius around the location, e.g. 25.

## `excludeTitleWords` (type: `array`):

Skip jobs whose title contains any of these words, e.g. 'senior', 'intern'.

## `maxConcurrency` (type: `integer`):

Detail requests in parallel.

## `maxRetries` (type: `integer`):

Retries per request with a fresh IP.

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

Apify Proxy is used by default and included in the price.

## Actor input object example

```json
{
  "keywords": [
    "data analyst"
  ],
  "location": "United States",
  "datePosted": "any",
  "maxItemsPerSearch": 100,
  "includeDetails": true,
  "includeCompanyDetails": false,
  "onlyNewJobs": false,
  "sortBy": "newest",
  "easyApplyOnly": false,
  "under10Applicants": false,
  "maxConcurrency": 8,
  "maxRetries": 6,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

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

All results in the default dataset (overview table).

# 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": [
        "data analyst"
    ],
    "location": "United States",
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("devcolton/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": ["data analyst"],
    "location": "United States",
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("devcolton/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": [
    "data analyst"
  ],
  "location": "United States",
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call devcolton/linkedin-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,devcolton/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/PnQUb60wS2kgOAVSb/builds/RW6uua4GmFeLHsg3j/openapi.json