# Google: median salary by job title

**Use case:** 

Google's pay table from Indeed: one row per job title with the median salary, period and number of salary reports, grouped by category.

## Input

```json
{
  "companyNames": [
    "Google"
  ],
  "maxTitlesPerCompany": 0,
  "country": "www",
  "flatten": false,
  "emitInputStatus": true,
  "maxChallengeRetries": 3,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

## Output

```json
{
  "company": {
    "label": "Company",
    "format": "string"
  },
  "jobTitle": {
    "label": "Job title",
    "format": "string"
  },
  "medianSalaryText": {
    "label": "Median",
    "format": "string"
  },
  "salaryPeriod": {
    "label": "Period",
    "format": "string"
  },
  "reportedSalaryCount": {
    "label": "Reports",
    "format": "integer"
  },
  "category": {
    "label": "Category",
    "format": "string"
  },
  "url": {
    "label": "Indeed",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Indeed Salaries Scraper API - Median Pay by Job Title Actor is ready to run with the inputs already set for "Google: median salary by job title". [Sign up or log in](https://console.apify.com/create-task-from-example/GkdLN1FYge5kXriIf) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Google: median salary by job title" task

The Indeed Salaries Scraper API - Median Pay by Job Title Actor will start running based on the input automatically. You can also change all the input fields, like company names, max job titles per company, and more, to match your specific use case.

### 3. Receive the "Google: median salary by job title" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as company, job title, median, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Google: median salary by job title" task via API](https://apify.com/scrapifier/indeed-salaries-scraper.md).

## About this Actor

This example demonstrates how to use [Indeed Salaries Scraper API - Median Pay by Job Title](https://apify.com/scrapifier/indeed-salaries-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/scrapifier/indeed-salaries-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

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

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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/scrapifier/indeed-salaries-scraper.md

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`).