# Glassdoor Salaries Universal Scraper (`scrapifier/glassdoor-salaries-universal-scraper`) Actor
π° Scrape Glassdoor salary estimates by company name or URL. Get base pay (low/median/high), total pay, bonus, stock & profit sharing per job title, with the number of reported salaries, currency & pay period. No login and no proxy needed.
- **URL**: https://apify.com/scrapifier/glassdoor-salaries-universal-scraper.md
- **Developed by:** [Scrapifier](https://apify.com/scrapifier) (community)
- **Categories:** Jobs
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $2.04 / 1,000 results
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/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md).
If your project is in a different language, use 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
## π° Glassdoor Salaries Scraper
Extract Glassdoor salary estimates for any company by name or URL β base pay, total pay and bonus per job title β and export them as structured JSON, CSV or Excel. No code required.
[](https://apify.com/scrapifier/glassdoor-salaries-universal-scraper)
### π Contents
- [Overview](#-overview)
- [How to use](#-how-to-use)
- [Input](#-input)
- [Output](#-output)
- [Pricing](#-pricing)
- [Proxy and performance](#-proxy-and-performance)
- [Integrations](#-integrations)
- [Related Actors](#-related-actors)
- [FAQ](#-faq)
- [Support](#-support)
### π Overview
Collect Glassdoor salary data for any company by typing its name or pasting a Glassdoor URL. For every job title reported at the company you get the base-pay range (low / median / high), total pay, the additional-pay breakdown (cash bonus, stock, profit sharing, sales commission, tips), the number of reported salaries, the currency and the pay period.
- Find a company by **name** (`Google`) or paste any **Glassdoor company URL**.
- Salary figures per **job title**: base pay low/median/high, total pay, and additional pay.
- Optional **full percentile breakdown** (10th / 25th / 50th / 75th / 90th).
- Choose the **pay period** β annual, monthly or hourly β and the **region** (any Glassdoor country domain).
- No login required β works anonymously.
- Exports to JSON, CSV, Excel, or the Apify dataset API.
- Pay per result β no subscription.
### π How to use
1. Add one or more companies in **Company names** (`Google`, `Microsoft`, `Airbnb`) β or paste **Glassdoor company URLs**.
2. Pick the **pay period** (annual / monthly / hourly) and, for company names, the **Glassdoor domain** (region).
3. Set **Max job titles per company** (`0` = every job title).
4. Start the run, then download your data from the **Storage** tab or fetch it from the API.
### π₯ Input
| Field | Key | Type | Default | Description |
|---|---|---|---|---|
| Glassdoor company URLs | `startUrls` | array | β | Company Salaries page or any company URL. Works on any country domain. |
| Company names | `companyNames` | array | `["Google"]` | Company names resolved automatically on Glassdoor. |
| Max job titles per company | `maxSalariesPerCompany` | integer | `100` | Salary rows to collect per company. `0` = all. |
| Pay period | `payPeriod` | select | `annual` | Annual, monthly or hourly figures. |
| Glassdoor domain | `country` | select | `www` | Domain used for company names β also sets region & currency. |
| Full percentile breakdown | `includePercentiles` | boolean | `true` | Add the 10thβ90th percentile range for base & total pay. |
| Additional pay breakdown | `includeAdditionalPay` | boolean | `true` | Add cash bonus, stock, profit sharing, commission and tips. |
| Flat columns | `flatten` | boolean | `false` | Keep only flat columns for CSV/Excel. |
| Proxy configuration | `proxyConfiguration` | object | Off | Leave off β the Actor works best with no proxy. |
Example input
```json
{
"companyNames": ["Google"],
"payPeriod": "annual",
"country": "www",
"maxSalariesPerCompany": 100,
"includePercentiles": true,
"includeAdditionalPay": true
}
````
### π€ Output
Each job title is stored as one dataset item. Export it as JSON, CSV or Excel, or read it from the API.
| Field | Description |
|---|---|
| `employerId` / `employerName` | Glassdoor company ID and name |
| `url` | Link to the company's salaries page |
| `jobTitle` / `jobTitleId` | Job title and its Glassdoor ID |
| `location` | Region the figures cover (e.g. France, United States) |
| `payPeriod` / `currency` | Pay period and currency |
| `salaryCount` | Number of reported salaries |
| `mostRecent` | Most recent salary report date |
| `basePayMin` / `basePayMedian` / `basePayMax` | Base pay: low (10th), median (50th), high (90th) |
| `totalPayMin` / `totalPayMedian` / `totalPayMax` | Total pay: low, median, high |
| `additionalPayMedian` | Additional pay (bonus + stock + β¦), median |
| `additionalPay{}` | Breakdown: cash bonus, stock, profit sharing, sales commission, tips |
| `basePayPercentiles{}` / `totalPayPercentiles{}` | Full percentile ranges |
Example output
```json
{
"employerId": 9079,
"employerName": "Google",
"url": "https://www.glassdoor.com/Salary/Employer-Salaries-E9079.htm",
"jobTitle": "Software Engineer",
"jobTitleId": 4279,
"location": "United States",
"payPeriod": "annual",
"currency": "USD",
"salaryCount": 111,
"basePayMin": 50000,
"basePayMedian": 70000,
"basePayMax": 110000,
"totalPayMedian": 80000,
"additionalPayMedian": 39000,
"additionalPay": { "cashBonus": 10000, "stockBonus": 22000, "profitSharing": 15000 }
}
```
### π° Pricing
**$3.00 per 1,000 job-title salaries.** No subscription β you pay only for the results you extract. New Apify users can try the Actor with their free monthly platform credits.
### π‘οΈ Proxy and performance
- **Leave the proxy off** β this Actor is tuned to run without one, and a proxy usually makes Glassdoor runs less reliable.
- Start with a small **Max job titles per company** to validate your setup, then increase it.
- Add several companies in one run to compare pay side by side.
- The first request per run warms up the session; the rest are fast.
### π Integrations
Run the Actor from the [Apify API](https://docs.apify.com/api/v2), the [JavaScript](https://docs.apify.com/sdk/js) or [Python](https://docs.apify.com/sdk/python) clients, or connect it to Make, Zapier, n8n, Google Sheets and Slack through Apify integrations. Each run's data is available as JSON or CSV via the dataset API.
### π Related Actors
- [Glassdoor Reviews Universal Scraper](https://apify.com/scrapifier/glassdoor-reviews-universal-scraper) β company reviews from Glassdoor.
- [Glassdoor Jobs Universal Scraper](https://apify.com/scrapifier/glassdoor-jobs-universal-scraper) β job listings from Glassdoor.
- [Trustpilot Universal Scraper](https://apify.com/scrapifier/trustpilot-universal-scraper) β customer reviews from Trustpilot.
Need another source? Open an issue.
### β FAQ
**Which URLs are supported?**
Any Glassdoor company URL β the Salaries page (`.../Salary/Company-Salaries-E12345.htm`) or the company Overview/Reviews page. Any country domain works (.com, .fr, .de, .co.ukβ¦).
**Where do the figures come from?**
They are Glassdoor's own estimates, aggregated from salaries reported by employees for each job title.
**How do I get salaries for a specific country?**
Paste that country's Glassdoor URL, or pick the matching **Glassdoor domain** when using company names β it sets both the region and the currency.
**How fresh is the data?**
It is collected live at runtime.
### π¬ Support
Questions or issues? Post them in the **Issues** tab and I will respond quickly. If the Actor is useful to you, a review is appreciated.
# Actor input Schema
## `startUrls` (type: `array`):
Paste one or more Glassdoor company URLs β the Salaries page (e.g. https://www.glassdoor.com/Salary/Google-Salaries-E9079.htm) or any company page. Works on any Glassdoor country domain (.com, .fr, .de, .co.ukβ¦). Leave empty to use company names below.
## `companyNames` (type: `array`):
Company names to resolve automatically on glassdoor.com (e.g. Google, Microsoft, Airbnb). For a specific country/office, paste that country's Glassdoor URL above instead.
## `maxSalariesPerCompany` (type: `integer`):
How many job-title salary rows to collect per company (0 = every job title Glassdoor reports).
## `payPeriod` (type: `string`):
The pay period the salary figures are reported in.
## `country` (type: `string`):
Which Glassdoor domain to use when resolving company names. This also sets the region and currency of the figures. (Pasted URLs keep their own domain.)
## `includePercentiles` (type: `boolean`):
Add the full percentile range (10th / 25th / 50th / 75th / 90thβ¦) for base and total pay, alongside the low/median/high summary.
## `includeAdditionalPay` (type: `boolean`):
Add a breakdown of additional pay β cash bonus, stock, profit sharing, sales commission and tips (median).
## `flatten` (type: `boolean`):
Keep only flat columns (drops the nested percentile and additional-pay objects) for clean CSV/Excel exports.
## `emitInputStatus` (type: `boolean`):
Add an input\_status report to the run's OUTPUT record.
## `maxChallengeRetries` (type: `integer`):
How many retry attempts if a page fails to load. Increase only if runs report being blocked.
## `proxyConfiguration` (type: `object`):
Leave OFF (recommended). A proxy usually makes Glassdoor runs fail β the Actor works best without one. Only add a proxy if you have your own clean, ISP-grade IPs.
## Actor input object example
```json
{
"companyNames": [
"Google"
],
"maxSalariesPerCompany": 100,
"payPeriod": "annual",
"country": "www",
"includePercentiles": true,
"includeAdditionalPay": true,
"flatten": false,
"emitInputStatus": true,
"maxChallengeRetries": 6,
"proxyConfiguration": {
"useApifyProxy": false
}
}
```
# Actor output Schema
## `salaries` (type: `string`):
All Glassdoor salary estimates extracted by this run.
# 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"companyNames": [
"Google"
],
"maxSalariesPerCompany": 100
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapifier/glassdoor-salaries-universal-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`πΎ 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);
});
// π Want to learn more π? Go to β 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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"companyNames": ["Google"],
"maxSalariesPerCompany": 100,
}
# Run the Actor and wait for it to finish
run = client.actor("scrapifier/glassdoor-salaries-universal-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("πΎ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# π Want to learn more π? Go to β https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"companyNames": [
"Google"
],
"maxSalariesPerCompany": 100
}' |
apify call scrapifier/glassdoor-salaries-universal-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapifier/glassdoor-salaries-universal-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Glassdoor Salaries Universal Scraper",
"description": "π° Scrape Glassdoor salary estimates by company name or URL. Get base pay (low/median/high), total pay, bonus, stock & profit sharing per job title, with the number of reported salaries, currency & pay period. No login and no proxy needed.",
"version": "0.1",
"x-build-id": "ln8DZHar9AhPxCTVu"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrapifier~glassdoor-salaries-universal-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrapifier-glassdoor-salaries-universal-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrapifier~glassdoor-salaries-universal-scraper/runs": {
"post": {
"operationId": "runs-sync-scrapifier-glassdoor-salaries-universal-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrapifier~glassdoor-salaries-universal-scraper/run-sync": {
"post": {
"operationId": "run-sync-scrapifier-glassdoor-salaries-universal-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"startUrls": {
"title": "Glassdoor company URLs",
"type": "array",
"description": "Paste one or more Glassdoor company URLs β the Salaries page (e.g. https://www.glassdoor.com/Salary/Google-Salaries-E9079.htm) or any company page. Works on any Glassdoor country domain (.com, .fr, .de, .co.ukβ¦). Leave empty to use company names below.",
"items": {
"type": "object",
"required": [
"url"
],
"properties": {
"url": {
"type": "string",
"title": "URL of a web page",
"format": "uri"
}
}
}
},
"companyNames": {
"title": "Company names",
"type": "array",
"description": "Company names to resolve automatically on glassdoor.com (e.g. Google, Microsoft, Airbnb). For a specific country/office, paste that country's Glassdoor URL above instead.",
"items": {
"type": "string"
}
},
"maxSalariesPerCompany": {
"title": "Max job titles per company",
"minimum": 0,
"type": "integer",
"description": "How many job-title salary rows to collect per company (0 = every job title Glassdoor reports).",
"default": 100
},
"payPeriod": {
"title": "Pay period",
"enum": [
"annual",
"monthly",
"hourly"
],
"type": "string",
"description": "The pay period the salary figures are reported in.",
"default": "annual"
},
"country": {
"title": "Glassdoor domain (for company names)",
"enum": [
"www",
"co.uk",
"ca",
"com.au",
"co.in",
"ie"
],
"type": "string",
"description": "Which Glassdoor domain to use when resolving company names. This also sets the region and currency of the figures. (Pasted URLs keep their own domain.)",
"default": "www"
},
"includePercentiles": {
"title": "Include full percentile breakdown",
"type": "boolean",
"description": "Add the full percentile range (10th / 25th / 50th / 75th / 90thβ¦) for base and total pay, alongside the low/median/high summary.",
"default": true
},
"includeAdditionalPay": {
"title": "Include additional pay breakdown",
"type": "boolean",
"description": "Add a breakdown of additional pay β cash bonus, stock, profit sharing, sales commission and tips (median).",
"default": true
},
"flatten": {
"title": "Flat columns (CSV-friendly)",
"type": "boolean",
"description": "Keep only flat columns (drops the nested percentile and additional-pay objects) for clean CSV/Excel exports.",
"default": false
},
"emitInputStatus": {
"title": "Report empty inputs",
"type": "boolean",
"description": "Add an input_status report to the run's OUTPUT record.",
"default": true
},
"maxChallengeRetries": {
"title": "Page load retries",
"minimum": 1,
"type": "integer",
"description": "How many retry attempts if a page fails to load. Increase only if runs report being blocked.",
"default": 6
},
"proxyConfiguration": {
"title": "Proxy",
"type": "object",
"description": "Leave OFF (recommended). A proxy usually makes Glassdoor runs fail β the Actor works best without one. Only add a proxy if you have your own clean, ISP-grade IPs.",
"default": {
"useApifyProxy": false
}
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```