# Benchmark Salaries From LinkedIn Job Posts

**Use case:** 

Scrape published salary ranges from LinkedIn job posts, parsed into min, max, currency and pay period. Free tool for salary benchmarking and pay research.

## Input

```json
{
  "searchUrls": [
    "https://www.linkedin.com/jobs/search/?keywords=Software%20Engineer&location=London&geoId=100495523&f_TPR=r2592000"
  ],
  "keywords": [
    "Registered Nurse"
  ],
  "locations": [
    "Colorado, United States"
  ],
  "distanceMiles": "25",
  "datePosted": "pastMonth",
  "easyApply": false,
  "under10Applicants": false,
  "experienceLevels": [
    "Not Applicable",
    "Entry level",
    "Associate"
  ],
  "requireSalary": true,
  "requirePoster": false,
  "maxItems": 20,
  "scrapeJobDetails": true,
  "includeDescriptionHtml": true,
  "deduplicateJobs": true,
  "maxConcurrency": 5,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "BUYPROXIES94952"
    ]
  }
}
```

## Output

```json
{
  "title": {
    "label": "Job title",
    "format": "string"
  },
  "company_name": {
    "label": "Company",
    "format": "string"
  },
  "location": {
    "label": "Location",
    "format": "string"
  },
  "salary": {
    "label": "Salary",
    "format": "string"
  },
  "salary_min": {
    "label": "Salary minimum",
    "format": "number"
  },
  "salary_max": {
    "label": "Salary maximum",
    "format": "number"
  },
  "salary_currency": {
    "label": "Currency",
    "format": "string"
  },
  "salary_period": {
    "label": "Pay period",
    "format": "string"
  },
  "salary_source": {
    "label": "Salary source",
    "format": "string"
  },
  "job_url": {
    "label": "Job URL",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [💼 LinkedIn Jobs Scraper - FREE TO USE](https://apify.com/dz_omar/linkedin-jobs-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/dz_omar/linkedin-jobs-scraper.md) to learn more, explore other use cases, and run it yourself.


## 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.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/dz_omar/linkedin-jobs-scraper.md

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).