# Xbox Reviews Scraper (`getdataforme/xbox-reviews-scraper`) Actor

Scrape user reviews from Xbox game store pages, including ratings, review text, helpful votes, and more. Ideal for sentiment analysis, market research, and tracking player feedback. Easy setup with URL input and Apify Proxy support.

- **URL**: https://apify.com/getdataforme/xbox-reviews-scraper.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** E-commerce
- **Stats:** 7 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$25.00/month + usage

To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period. You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#rental-actors

## 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

**Actor ID:** `glassdoor-reviews-scraper`\
**Target Site:** [Glassdoor](https://www.glassdoor.com)

### 🧾 Description

The **Glassdoor Reviews Scraper** lets you extract authentic employee reviews from [Glassdoor.com](https://www.glassdoor.com) for any public company. This is ideal for competitive research, sentiment analysis, HR analytics, or personal career decisions.

Built to be efficient and reliable, this actor scrapes detailed reviews with ratings, job roles, pros, cons, and much more.

***

### 🔧 Input Parameters

```json
{
  "company_name": "google",
  "item_limit": 25,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

#### Fields:

| Field                | Type    | Required | Description                                                                 |
| -------------------- | ------- | -------- | --------------------------------------------------------------------------- |
| `company_name`       | String  | ✅        | The name of the company (e.g., `"google"`)                                  |
| `item_limit`         | Integer | ❌        | Number of reviews to scrape (default: all available)                        |
| `proxyConfiguration` | Object  | ✅        | Use Apify proxy with `"RESIDENTIAL"` group for optimal scraping performance |

***

### 📤 Output

The actor returns an array of JSON objects, each representing a single review.

#### Sample Output:

```json
{
  "review_id": 96900164,
  "summary": "Good place to work",
  "pros": "Good marketing pay and benefits",
  "cons": "You tend to develop very specialized and niche soft skills...",
  "advice": "Create decision gates, stop changing mind at last second...",
  "rating_overall": 4,
  "rating_recommend_to_friend": "POSITIVE",
  "rating_ceo": "DISAPPROVE",
  "rating_business_outlook": "POSITIVE",
  "rating_career_opportunities": 4.0,
  "rating_compensation_and_benefits": 5.0,
  "rating_culture_and_values": 4,
  "rating_diversity_and_inclusion": 5,
  "rating_senior_leadership": 3.0,
  "rating_work_life_balance": 3.0,
  "review_date_time": "2025-04-24T00:18:33.887",
  "is_current_job": true,
  "length_of_employment": 4,
  "job_title": "Product Marketing Manager",
  "location": "Mountain View, CA",
  "employer_id": 9079,
  "employer_short_name": "Google",
  "employer_logo_url": "https://media.glassdoor.com/sql/9079/google-squarelogo-1441130773284.png",
  "count_helpful": 0,
  "has_employer_response": false,
  "featured": false
}
```

***

### 📊 Data Fields Explained

- **summary, pros, cons, advice** – Review content
- **job\_title, location** – Employee’s role and place of work
- **rating\_**\* – Multiple review metrics (e.g., work-life balance, compensation)
- **employer\_short\_name, logo\_url** – Company branding
- **review\_date\_time** – When the review was published
- **is\_current\_job, length\_of\_employment** – Employment details

***

### 🔒 Proxy Use

✅ **Residential proxies** are required to prevent blocks and ensure access to the content behind login/auth layers.
Using the default Apify proxy settings is highly recommended.

***

### 📬 Support

Need help, feature requests, or bug reports?

- 📧 Email us: **<support@getdataforme.com>**
  *Subject Line*: `"Support: glassdoor-reviews-scraper"`
- 🌐 Fill out our contact form: <https://getdataforme.com/contact>

***

### ✅ Use Cases

- Competitor benchmarking
- Company culture analysis
- Sentiment tracking
- Talent research for HR teams
- Startup validation and research

***

> Get transparent reviews. Empower smarter decisions. 💼

````



---

# Actor input Schema

## `urls` (type: `array`):

A list of URLs of the web pages you want to scrape data from.
## `proxyConfiguration` (type: `object`):

Specifies proxy servers that will be used by the scraper in order to hide its origin.

## Actor input object example

```json
{
  "urls": [
    "https://www.xbox.com/en-US/games/store/need-for-speed-payback/C355T88BBX1S/0001"
  ],
  "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 = {
    "urls": [
        "https://www.xbox.com/en-US/games/store/need-for-speed-payback/C355T88BBX1S/0001"
    ],
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("getdataforme/xbox-reviews-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 = {
    "urls": ["https://www.xbox.com/en-US/games/store/need-for-speed-payback/C355T88BBX1S/0001"],
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("getdataforme/xbox-reviews-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 '{
  "urls": [
    "https://www.xbox.com/en-US/games/store/need-for-speed-payback/C355T88BBX1S/0001"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call getdataforme/xbox-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,getdataforme/xbox-reviews-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/SqBcrbQmZv3HyGot2/builds/lNDBrWMYvulFZRQd5/openapi.json
