# Glassdoor Role Scraper — compare roles by estimated pay (`entrogix_works/glassdoor-role-benchmark`) Actor

Compare several Glassdoor job searches side by side. One row per role or city: median estimated annual pay with a confidence range, pay-disclosure rate, spread, freshness, ranked. Unofficial; not affiliated with Glassdoor.

- **URL**: https://apify.com/entrogix\_works/glassdoor-role-benchmark.md
- **Developed by:** [Entrogix Works](https://apify.com/entrogix_works) (community)
- **Categories:** Jobs
- **Stats:** 2 total users, 1 monthly users, 66.7% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$50.00 / 1,000 role benchmarkeds

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/actors/running/actors-in-store.md#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

## Glassdoor Role Scraper — compare roles by estimated pay

Paste **two or more Glassdoor search URLs** and get back **one row per role or city**, ranked by median estimated annual pay — with a confidence range, so you can tell whether the gap between two roles is real or just sampling noise.

This is the comparison companion to *Glassdoor Jobs & Salary Scraper*. That one returns one row per job ("what is being advertised"). This one returns one row per search ("which role or city pays more, and can I trust that").

### What you get per role

| Field | Example |
|---|---|
| `role`, `searchUrl` | `new york data analyst`, the URL you gave |
| `estimatedAnnualMedian` | `78100` |
| `estimatedAnnualMedianRange` | `[71000, 84500]` — 95% range for the median |
| `estimatedAnnualP10` / `estimatedAnnualP90` | `62400` / `95000` — how wide the market is |
| `jobs`, `jobsWithPay`, `payDisclosureRate` | `30`, `19`, `0.633` |
| `currency`, `currencyMixed` | `USD`, `false` |
| `medianAgeInDays`, `sponsoredShare`, `easyApplyShare` | `4`, `0.1`, `0.35` |
| `rank`, `notRankedReason` | `1`, or why the row was left out of the ranking |

### The three things this Actor refuses to do

**It will not rank on a point estimate alone.** Medians from small samples swing hard. Every row carries `estimatedAnnualMedianRange`, and if the top two ranges overlap the summary says `topTwoTooClose: true` — meaning the data cannot tell you which is higher.

**It will not mix currencies in one ranking.** A row priced in a different currency is excluded from the ranking with `notRankedReason`, not silently sorted next to the others.

**It will not hide the denominator.** `payDisclosureRate` is on every row. Listings that publish pay skew toward better-paying employers, so a median without its disclosure rate is inflated.

Rows with fewer than 6 pay-bearing jobs get `rank: null` — that is below the point where a range can be computed at all.

### Summary (key-value store, `BENCHMARK_SUMMARY`)

`roles`, `ranked`, `bestPaying`, `bestPayingMedian`, `currency`, **`topTwoTooClose`**, `medianPayDisclosureRate`, `notRanked`, `currenciesSeen`.

### Input

```json
{
  "searchUrls": [
    "https://www.glassdoor.com/Job/new-york-data-analyst-jobs-SRCH_IL.0,8_IC1132348_KO9,21.htm",
    "https://www.glassdoor.com/Job/new-york-data-engineer-jobs-SRCH_IL.0,8_IC1132348_KO9,22.htm"
  ],
  "maxItemsPerUrl": 30,
  "useProxy": true,
  "proxyType": "DATACENTER"
}
```

Glassdoor search URLs contain internal location and keyword IDs, so they cannot be built from a plain keyword. Search on Glassdoor, then copy the URL from your browser. A single URL is rejected — one search is not a comparison.

You are charged **per role**, not per job, so raising `maxItemsPerUrl` narrows the ranges at no extra cost.

### Limits, stated plainly

- **The pay figures are Glassdoor's own estimates**, not offers and not payroll. They are useful for comparing markets against each other, not for quoting a number in a negotiation.
- Glassdoor paginates with JavaScript, so each search is sampled from its first page.
- Only job listings are read. Nothing about applicants or review authors is collected.

Unofficial; not affiliated with Glassdoor.

# Actor input Schema

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

Two or more Glassdoor job-search result pages. One URL is not a comparison and is rejected. Glassdoor search URLs contain internal IDs and cannot be built from a keyword, so paste the URL from your browser after searching.

## `maxItemsPerUrl` (type: `integer`):

Every search is sampled the same way so the comparison stays fair. A larger sample narrows the reported range. You are charged per role, not per job, so raising this does not cost you more.

## `useProxy` (type: `boolean`):

Glassdoor blocks direct datacenter traffic intermittently. Leave this on.

## `proxyType` (type: `string`):

Datacenter is enough in practice and much cheaper. Switch to residential only if you see blocks.

## Actor input object example

```json
{
  "searchUrls": [
    "https://www.glassdoor.com/Job/new-york-data-analyst-jobs-SRCH_IL.0,8_IC1132348_KO9,21.htm",
    "https://www.glassdoor.com/Job/new-york-data-engineer-jobs-SRCH_IL.0,8_IC1132348_KO9,22.htm"
  ],
  "maxItemsPerUrl": 30,
  "useProxy": true,
  "proxyType": "RESIDENTIAL"
}
```

# Actor output Schema

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

Every row this run produced, as JSON.

## `summary` (type: `string`):

Which role pays most, whether the top two are separable, and how much of the pay data was actually disclosed.

# 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 = {
    "searchUrls": [
        "https://www.glassdoor.com/Job/new-york-data-analyst-jobs-SRCH_IL.0,8_IC1132348_KO9,21.htm",
        "https://www.glassdoor.com/Job/new-york-data-engineer-jobs-SRCH_IL.0,8_IC1132348_KO9,22.htm"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("entrogix_works/glassdoor-role-benchmark").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 = { "searchUrls": [
        "https://www.glassdoor.com/Job/new-york-data-analyst-jobs-SRCH_IL.0,8_IC1132348_KO9,21.htm",
        "https://www.glassdoor.com/Job/new-york-data-engineer-jobs-SRCH_IL.0,8_IC1132348_KO9,22.htm",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("entrogix_works/glassdoor-role-benchmark").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 '{
  "searchUrls": [
    "https://www.glassdoor.com/Job/new-york-data-analyst-jobs-SRCH_IL.0,8_IC1132348_KO9,21.htm",
    "https://www.glassdoor.com/Job/new-york-data-engineer-jobs-SRCH_IL.0,8_IC1132348_KO9,22.htm"
  ]
}' |
apify call entrogix_works/glassdoor-role-benchmark --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,entrogix_works/glassdoor-role-benchmark"
        }
    }
}

```

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/0Dg5Trf3L6a9rgQyQ/builds/lqUg2nvVkxtpB7kEX/openapi.json