# Gartner Reviews Scraper (`powerbox/gartner-reviews-scraper`) Actor

Scrape Gartner Peer Insights reviews — ratings, headlines, reviewer role, industry and company size

- **URL**: https://apify.com/powerbox/gartner-reviews-scraper.md
- **Developed by:** [PowerBox](https://apify.com/powerbox) (community)
- **Categories:** Agents
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$3.00 / 1,000 reviews

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?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Gartner Reviews Scraper

Collect structured software reviews from **Gartner Peer Insights** product pages. Pass one or more product URLs — the Actor resolves the product, paginates the public reviews feed, and writes clean Dataset rows with ratings, headlines, reviewer role, industry, and company size.

### Features

- **Product URLs** — short `/reviews/product/{seo}` or full market/vendor/product paths
- **Batch** — up to 10 products per run via `productUrls` / `startUrls`
- **Sort** — most recent, most helpful, or least recent
- **Star filter** — keep only selected ratings (1–5)
- **Product profile** — description, pricing blurb, vendor, aggregates on the first review of each product
- **Limits** — `maxResults` per product and optional run-wide `resultsWanted`

### Input

| Field | Type | Default | Description |
| --- | --- | --- | --- |
| `productUrls` | array | — | Peer Insights product URLs |
| `productUrl` / `startUrls` | — | — | Aliases for the same sources |
| `maxResults` | integer | `50` | Cap per product (`0` ≈ large batch up to 5000) |
| `resultsWanted` | integer | — | Optional global cap for the whole run |
| `page` | integer | `1` | 1-based start page |
| `sort` | string | `most-recent` | `most-recent` / `most-helpful` / `least-recent` |
| `starRating` | array | — | e.g. `["5","4"]` |
| `proxyConfiguration` | object | — | Residential proxies recommended for production |

#### Example — newest reviews

```json
{
  "productUrls": [
    "https://www.gartner.com/reviews/product/zoom-meetings"
  ],
  "maxResults": 20,
  "sort": "most-recent"
}
```

#### Example — filtered batch

```json
{
  "productUrls": [
    "https://www.gartner.com/reviews/market/meeting-solutions/vendor/zoom/product/zoom-meetings/reviews",
    "https://www.gartner.com/reviews/product/microsoft-teams"
  ],
  "maxResults": 50,
  "sort": "most-helpful",
  "starRating": ["5", "4"]
}
```

### Output

One Dataset item per review:

| Field | Description |
| --- | --- |
| `id` | Review identifier |
| `headline` / `summary` | Title and body text |
| `rating` | 1–5 star rating |
| `date` | Display date from Peer Insights |
| `jobTitle` / `industry` / `companySize` | Reviewer demographics when published |
| `url` | Deep link to the review when market/vendor are known |
| `productId` / `productSeoName` / `productName` | Product identifiers |
| `vendorName` / `marketName` | Vendor and market labels |
| `productData` | Full product profile on the first review of each product; otherwise `null` |
| `scrapedAt` | Scrape timestamp |

### Notes

- Prefer residential proxies for longer runs.
- Field availability depends on what Peer Insights publishes for each product.

# Actor input Schema

## `productUrls` (type: `array`):

Up to 10 Gartner Peer Insights product page URLs. Accepts short (/reviews/product/{seo}) or full market/vendor/product paths.

## `productUrl` (type: `string`):

Optional single product URL. Used when productUrls is empty.

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

Alternative to productUrls. Accepts URL strings or { "url": "..." } objects.

## `maxResults` (type: `integer`):

Maximum reviews to save for each product URL. Use 0 for a large batch (up to 5000 per product).

## `resultsWanted` (type: `integer`):

Global cap across all products. Defaults to maxResults × number of URLs when omitted.

## `page` (type: `integer`):

1-based start page for each product listing.

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

Review order for the Peer Insights feed.

## `starRating` (type: `array`):

Keep only these star ratings (1–5). Leave empty for all ratings.

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

Residential proxies recommended for production.

## Actor input object example

```json
{
  "productUrls": [
    "https://www.gartner.com/reviews/product/zoom-meetings"
  ],
  "productUrl": "https://www.gartner.com/reviews/product/zoom-meetings",
  "maxResults": 50,
  "page": 1,
  "sort": "most-recent"
}
```

# Actor output Schema

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

Table view of reviews.

## `rawResults` (type: `string`):

All dataset items without a specific view.

# 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 = {
    "productUrls": [
        "https://www.gartner.com/reviews/product/zoom-meetings"
    ],
    "productUrl": "https://www.gartner.com/reviews/product/zoom-meetings",
    "maxResults": 50,
    "page": 1,
    "sort": "most-recent"
};

// Run the Actor and wait for it to finish
const run = await client.actor("powerbox/gartner-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 = {
    "productUrls": ["https://www.gartner.com/reviews/product/zoom-meetings"],
    "productUrl": "https://www.gartner.com/reviews/product/zoom-meetings",
    "maxResults": 50,
    "page": 1,
    "sort": "most-recent",
}

# Run the Actor and wait for it to finish
run = client.actor("powerbox/gartner-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 '{
  "productUrls": [
    "https://www.gartner.com/reviews/product/zoom-meetings"
  ],
  "productUrl": "https://www.gartner.com/reviews/product/zoom-meetings",
  "maxResults": 50,
  "page": 1,
  "sort": "most-recent"
}' |
apify call powerbox/gartner-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,powerbox/gartner-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/ItIMIbhbrvfqBiw0r/builds/3OOBh7YZCCQDRFwVO/openapi.json