# Glassdoor Reviews Scraper (`xtracto/glassdoor-reviews`) Actor

Extract employee reviews from Glassdoor by company. Each review includes the rating, pros, cons, advice, job title, location, employment status, review date, and any employer response. Input company URLs or employer IDs. No login required.

- **URL**: https://apify.com/xtracto/glassdoor-reviews.md
- **Developed by:** [Farhan Febrian Nauval](https://apify.com/xtracto) (community)
- **Categories:** Jobs
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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 Reviews Scraper

Extract employee reviews from Glassdoor for any company, by company URL or employer ID.
One result = one review.

### Why use this actor

- No account, no login, and no API key required
- **Full review history** — not just the first page (thousands of reviews per company)
- Full review detail: rating, pros, cons, advice, job title, location, employment status, and date
- Per-category ratings (work-life balance, culture, compensation, career, leadership, diversity)
- Sort by relevance or newest-first
- Employer responses included when present
- Stable JSON output suitable for pipelines, sentiment analysis, or databases
- Automatic retries and IP switching if a request is temporarily blocked

### How it works

1. You give the actor one or more companies — a Glassdoor company link (Reviews or Overview page) or just the employer ID number.
2. The actor collects every review with its full detail, paging through the company's entire review history (50 reviews per page).
3. Results stream into your dataset, ready to download as JSON, CSV, or Excel.

You don't manage scrapers, browsers, or retries — the actor handles all of that.

### Input

```json
{
  "companies": [
    "https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm"
  ],
  "maxReviewsPerCompany": 100,
  "maxPages": 50,
  "sort": "RELEVANCE",
  "concurrency": 2,
  "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }
}
```

| Field | Type | Description |
|---|---|---|
| `companies` | array | Company URLs (Reviews or Overview pages) or bare employer ID numbers. |
| `maxReviewsPerCompany` | integer | Stop after this many reviews per company. `0` = no cap (entire history). Default 100. |
| `maxPages` | integer | Safety cap on review pages walked per company (50 reviews per page). Default 50. |
| `sort` | string | `RELEVANCE` (most relevant) or `DATE` (newest first). Default `RELEVANCE`. |
| `concurrency` | integer | Companies processed in parallel. Default 2. |
| `proxyConfiguration` | object | Proxy settings. Residential is recommended. |

### Output

```json
{
  "_input": "https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm",
  "_scrapedAt": "2026-06-10T19:21:12Z",
  "recordType": "REVIEW",
  "employerId": 9079,
  "page": 1,
  "reviewId": 104312551,
  "summary": "Great experience overshadowed by significant issues",
  "pros": "Great loved working there indeed yes",
  "cons": "Bad very very very very bad",
  "advice": null,
  "ratingOverall": 5,
  "ratingWorkLifeBalance": 0,
  "ratingCultureAndValues": 0,
  "ratingCareerOpportunities": 0,
  "ratingCompensationAndBenefits": 0,
  "ratingSeniorLeadership": 0,
  "ratingDiversityAndInclusion": 0,
  "ratingRecommendToFriend": null,
  "ratingBusinessOutlook": null,
  "employmentStatus": "REGULAR",
  "isCurrentJob": true,
  "jobTitle": { "id": 47759, "text": "Warehouse Worker" },
  "location": { "id": 3907861, "name": "Georgetown", "type": "CITY" },
  "lengthOfEmployment": 0,
  "reviewDateTime": "2026-06-08T22:39:47.570",
  "countHelpful": 0,
  "countNotHelpful": 0,
  "ratingCeo": "APPROVE",
  "employer": { "id": 9079, "shortName": "Google" },
  "employerResponses": []
}
```

| Field | Type | Description |
|---|---|---|
| `reviewId` | number | Unique review ID. |
| `summary` | string | Review headline. |
| `pros` / `cons` / `advice` | string | The review body sections. |
| `ratingOverall` | number | 1–5 overall rating. |
| `rating*` | number | Per-category ratings (work-life, culture, compensation, career, leadership, diversity); recommend-to-friend and business-outlook are sentiment values. |
| `employmentStatus` | string | e.g. `REGULAR`, `PART_TIME`. |
| `isCurrentJob` | boolean | Whether the reviewer was a current employee. |
| `jobTitle` / `location` | object | Reviewer's role and location. |
| `lengthOfEmployment` | number | Years employed (0 if unspecified). |
| `reviewDateTime` | string | When the review was posted. |
| `employerResponses` | array | Official company responses, if any. |

A company that can't be found returns an `_error` record instead of being dropped.

### Notes

- The actor reads a company's **entire** public review history — set `maxReviewsPerCompany: 0` to collect all of it (large companies have tens of thousands).
- `sort: "DATE"` returns newest reviews first; `"RELEVANCE"` matches Glassdoor's default ordering.
- Residential proxy is recommended; the actor switches IP automatically if temporarily blocked.

### Related actors

Part of a Glassdoor suite (one event per actor): **Company Overview**, **Reviews**, and Jobs.

# Actor input Schema

## `companies` (type: `array`):

One entry per company. Each may be a Glassdoor company URL (Overview or Reviews page) or a bare Glassdoor employer ID number. Example: https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm

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

Stop after collecting this many reviews per company. Set 0 for no cap (pages until reviews stop).

## `maxPages` (type: `integer`):

Safety cap on how many review pages to walk per company (50 reviews per page).

## `sort` (type: `string`):

Order reviews by Glassdoor relevance, or newest first.

## `concurrency` (type: `integer`):

How many companies to process in parallel. Keep low (1-2) to reduce the chance of being temporarily rate-limited.

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

Proxy settings. Residential proxies are strongly recommended; the actor automatically switches IP if it is temporarily blocked.

## Actor input object example

```json
{
  "companies": [
    "https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm"
  ],
  "maxReviewsPerCompany": 100,
  "maxPages": 50,
  "sort": "RELEVANCE",
  "concurrency": 2,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# 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 = {
    "companies": [
        "https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("xtracto/glassdoor-reviews").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 = { "companies": ["https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm"] }

# Run the Actor and wait for it to finish
run = client.actor("xtracto/glassdoor-reviews").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 '{
  "companies": [
    "https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm"
  ]
}' |
apify call xtracto/glassdoor-reviews --silent --output-dataset

```

## MCP server setup

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

```

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/sDnifTVZEeE1ZZ2EW/builds/LJpyk22EPMZdeOFuJ/openapi.json