# Glassdoor Scraper — Jobs, Reviews, Salaries & Interviews (`trakk/glassdoor-scraper`) Actor

Scrape Glassdoor without login: jobs with salaries, thousands of employee reviews (all 6 sub-ratings, pros/cons, sentiment), salary percentiles by title, interview questions, and full company profiles. Real logos + shareable visual report. Request-only, fast, reliable.

- **URL**: https://apify.com/trakk/glassdoor-scraper.md
- **Developed by:** [Kelopr\_bk](https://apify.com/trakk) (community)
- **Categories:** Jobs, Automation
- **Stats:** 1 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.80 / 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.

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

> **Build a joined view of jobs, employee experience, salaries, interviews, and company fundamentals.**

Scrape Glassdoor without login: jobs with salaries, thousands of employee reviews (all 6 sub-ratings, pros/cons, sentiment), salary percentiles, interview questions, and full company profiles. Real logos + visual report.

All examples below use fictional `DEMO-*` identifiers, reserved `.test` domains, and masked contact details. They do not represent real people, listings, products, or companies.

### 🚀 What this Actor does

- **Flexible collection:** `Job discovery`, `Company reviews`, `Salary & interview intelligence`, `Company profile`.
- **Structured output:** clean JSON records organized into `overview`, `jobs`, `reviews`, `salaries`, `interviews`, `companies` views.
- **Production-ready:** concurrency, retries, proxy support, limits, and source-aware diagnostics are exposed through the Actor input.
- **Easy automation:** run from the Apify Console, API, schedules, webhooks, Make, Zapier, or any HTTP client.

### 🎛️ Modes and workflows

| Mode or workflow | What it does |
|---|---|
| `Job discovery` | Search by keyword and location or provide exact Glassdoor URLs. |
| `Company reviews` | Collect pros, cons, sub-ratings, recommendations, replies, and sentiment. |
| `Salary & interview intelligence` | Add salary percentiles, interview outcomes, duration, and questions. |
| `Company profile` | Return company ratings and business metadata alongside hiring data. |

### 💡 Common use cases

- Employer-brand benchmarking
- Salary and interview research
- Hiring-market and employee-sentiment analysis

### 📥 Input schema

Configure the Actor in the **Input** tab or send the same JSON through the API. Fields not needed for your workflow can be omitted.

| Field | Type | Description | Default |
|---|---|---|---|
| `keywords` | `array` | Job titles or keywords to search on Glassdoor, e.g. "software engineer", "nurse". | — |
| `location` | `string` | Optional location for the job search — city, state, or country (e.g. "New York, NY"). | — |
| `startUrls` | `array` | Glassdoor company reviews URLs, e.g. https://www.glassdoor.com/Reviews/Amazon-Reviews-E6036.htm | — |
| `scrapeReviews` | `boolean` | For each company URL, collect employee reviews (ratings, sub-ratings, pros/cons, employer replies). | `true` |
| `maxReviewsPerCompany` | `integer` | Cap on reviews collected per company URL. | `100` |
| `reviewSort` | `string` | Ordering for collected reviews. Allowed: `relevance`, `recent`, `lowest`. | `relevance` |
| `maxJobsPerSearch` | `integer` | Cap on jobs collected per keyword search. | `30` |
| `scrapeSalaries` | `boolean` | For each company URL, collect salary data by job title (base pay percentiles, count). | `false` |
| `maxSalariesPerCompany` | `integer` | Cap on salary rows per company URL. | `50` |
| `scrapeInterviews` | `boolean` | For each company URL, collect interview experiences (difficulty, outcome, questions). | `false` |
| `maxInterviewsPerCompany` | `integer` | Cap on interview rows per company URL. | `50` |
| `scrapeCompanyProfile` | `boolean` | For each company URL, add a company profile row (industry, revenue, size, HQ, stock). | `false` |
| `sentiment` | `boolean` | Add a sentiment score and label to each review. | `false` |
| `htmlReport` | `boolean` | Build a shareable HTML report (jobs board + employer intelligence: ratings, sub-ratings, sentiment, salaries, pros/cons) saved to the key-value store as 'report'. | `true` |
| `dedupe` | `boolean` | Save each job/review only once per run. | `true` |
| `maxItems` | `integer` | Global cap across jobs + reviews. 0 = unlimited. | `200` |
| `proxyConfiguration` | `object` | Glassdoor requires residential proxies (Cloudflare blocks datacenter). The default is tuned for reliable access. | `{"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "US"}` |
| `maxConcurrency` | `integer` | Sources processed at once. | `5` |
| `maxRetries` | `integer` | Retries for a failed request. | `5` |
| `requestTimeoutSecs` | `integer` | Maximum time for one request. | `30` |

### ▶️ Example input

```json
{
  "keywords": [
    "data analyst"
  ],
  "location": "Berlin",
  "maxJobsPerSearch": 25,
  "scrapeReviews": true,
  "maxReviewsPerCompany": 20,
  "scrapeCompanyProfile": true
}
```

### 📦 Output schema

Each successful item is written to the default dataset. Select a dataset view in the Apify Console or export the full dataset as JSON, CSV, Excel, XML, or RSS.

#### `overview` — Overview

A compact table for fast scanning and export.

**Fields:** `dataType`, `companyLogo`, `company`, `title`, `summary`, `companyRating`, `ratingOverall`, `location`, `salaryMedian`, `url`

#### `jobs` — Jobs

Normalized job records.

**Fields:** `companyLogo`, `title`, `company`, `companyRating`, `location`, `isRemote`, `easyApply`, `salaryMin`, `salaryMedian`, `salaryMax`, `salaryCurrency`, `ageInDays`, `url`

#### `reviews` — Reviews

One record or grouped payload for reviews, depending on the source schema.

**Fields:** `companyLogo`, `company`, `ratingOverall`, `summary`, `pros`, `cons`, `jobTitle`, `employmentStatus`, `recommendToFriend`, `ceoApproval`, `sentimentLabel`, `employerReply`, `reviewDate`, `url`

#### `salaries` — Salaries

Structured `salaries` records for this Actor.

**Fields:** `companyLogo`, `companyName`, `jobTitle`, `baseP10`, `baseMedian`, `baseP90`, `totalMedian`, `currency`, `salaryCount`, `mostRecent`

#### `interviews` — Interviews

Structured `interviews` records for this Actor.

**Fields:** `companyLogo`, `companyName`, `jobTitle`, `difficulty`, `experience`, `outcome`, `durationDays`, `source`, `location`, `questions`, `interviewDate`

#### `companies` — Companies

Company-level identity, enrichment, and aggregate signals.

**Fields:** `companyLogo`, `companyName`, `overallRating`, `reviewCount`, `recommendToFriendPercent`, `ceoApprovalPercent`, `businessOutlookPercent`, `cultureAndValuesRating`, `workLifeBalanceRating`, `careerOpportunitiesRating`, `compensationAndBenefitsRating`, `seniorLeadershipRating`, `diversityAndInclusionRating`, `industry`, `revenue`, `size`, `type`, `stock`, `headquarters`, `founded`, `website`

### 📤 Example output

```json
{
  "title": "Data Analyst",
  "company": "Example Labs",
  "companyRating": 4.2,
  "location": "Berlin",
  "isRemote": true,
  "salaryMin": 55000,
  "salaryMedian": 62500,
  "salaryMax": 70000,
  "salaryCurrency": "EUR",
  "url": "https://www.glassdoor.com/job-listing/DEMO-JOB-01"
}
```

Missing source values are returned as `null`, empty arrays, or documented availability/status fields; the Actor does not invent unavailable source data.

### 🔌 API example

Replace the placeholder with an Apify token and send the same input used in the Console:

```bash
curl -X POST "https://api.apify.com/v2/acts/trakk~glassdoor-scraper/runs?token=%3CYOUR_APIFY_TOKEN%3E" \
  -H "Content-Type: application/json" \
  -d '{"keywords": ["data analyst"], "location": "Berlin", "maxJobsPerSearch": 25, "scrapeReviews": true, "maxReviewsPerCompany": 20, "scrapeCompanyProfile": true}'
```

For synchronous integrations, use the `run-sync-get-dataset-items` API endpoint. For larger jobs, start an asynchronous run and consume its default dataset when the run succeeds.

### 🧩 Automation and exports

- Schedule recurring runs from the Apify Console.
- Trigger downstream systems with webhooks when a run succeeds or fails.
- Reuse named monitoring keys or stores where the selected workflow supports change tracking.
- Export dataset views to JSON, CSV, Excel, XML, or RSS, or access items through the Apify API.

### ❓ FAQ

#### Do I need a login or browser session?

Use only the inputs shown in the Actor schema. If authentication or cookies are supported, the relevant encrypted field is explicitly available in the Input tab; otherwise no account is required.

#### Why can some fields be empty?

Source pages vary by region, content type, privacy settings, and availability. Optional enrichment also depends on the selected mode. Empty values are preserved honestly instead of being guessed.

#### How should I run this at scale?

Start with a small representative input, inspect the dataset and cost, then raise item limits and concurrency gradually. Use Apify Proxy when the schema exposes it, and use schedules plus monitoring keys for recurring collection.

#### Is the example data real?

No. Every example in this README is intentionally fictional and uses demo identifiers, reserved domains, or masked contact values.

# Actor input Schema

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

Job titles or keywords to search on Glassdoor, e.g. "software engineer", "nurse".

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

Optional location for the job search — city, state, or country (e.g. "New York, NY").

## `startUrls` (type: `array`):

Glassdoor company reviews URLs, e.g. https://www.glassdoor.com/Reviews/Amazon-Reviews-E6036.htm

## `scrapeReviews` (type: `boolean`):

For each company URL, collect employee reviews (ratings, sub-ratings, pros/cons, employer replies).

## `maxReviewsPerCompany` (type: `integer`):

Cap on reviews collected per company URL.

## `reviewSort` (type: `string`):

Ordering for collected reviews.

## `maxJobsPerSearch` (type: `integer`):

Cap on jobs collected per keyword search.

## `scrapeSalaries` (type: `boolean`):

For each company URL, collect salary data by job title (base pay percentiles, count).

## `maxSalariesPerCompany` (type: `integer`):

Cap on salary rows per company URL.

## `scrapeInterviews` (type: `boolean`):

For each company URL, collect interview experiences (difficulty, outcome, questions).

## `maxInterviewsPerCompany` (type: `integer`):

Cap on interview rows per company URL.

## `scrapeCompanyProfile` (type: `boolean`):

For each company URL, add a company profile row (industry, revenue, size, HQ, stock).

## `sentiment` (type: `boolean`):

Add a sentiment score and label to each review.

## `htmlReport` (type: `boolean`):

Build a shareable HTML report (jobs board + employer intelligence: ratings, sub-ratings, sentiment, salaries, pros/cons) saved to the key-value store as 'report'.

## `dedupe` (type: `boolean`):

Save each job/review only once per run.

## `maxItems` (type: `integer`):

Global cap across jobs + reviews. 0 = unlimited.

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

Glassdoor requires residential proxies (Cloudflare blocks datacenter). The default is tuned for reliable access.

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

Sources processed at once.

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

Retries for a failed request.

## `requestTimeoutSecs` (type: `integer`):

Maximum time for one request.

## Actor input object example

```json
{
  "keywords": [
    "software engineer"
  ],
  "scrapeReviews": true,
  "maxReviewsPerCompany": 100,
  "reviewSort": "relevance",
  "maxJobsPerSearch": 30,
  "scrapeSalaries": false,
  "maxSalariesPerCompany": 50,
  "scrapeInterviews": false,
  "maxInterviewsPerCompany": 50,
  "scrapeCompanyProfile": false,
  "sentiment": false,
  "htmlReport": true,
  "dedupe": true,
  "maxItems": 50,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  },
  "maxConcurrency": 5,
  "maxRetries": 5,
  "requestTimeoutSecs": 30
}
```

# Actor output Schema

## `overview` (type: `string`):

No description

## `jobs` (type: `string`):

No description

## `reviews` (type: `string`):

No description

# 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": [
        "software engineer"
    ],
    "maxJobsPerSearch": 30,
    "maxItems": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("trakk/glassdoor-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": ["software engineer"],
    "maxJobsPerSearch": 30,
    "maxItems": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("trakk/glassdoor-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": [
    "software engineer"
  ],
  "maxJobsPerSearch": 30,
  "maxItems": 50
}' |
apify call trakk/glassdoor-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,trakk/glassdoor-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/XKRwLZXdcxPpjI6Y7/builds/jHUYuCHerWN2OicHe/openapi.json