# Gartner Peer Insights Scraper - Reviews, Ratings & Profiles (`zen-studio/gartner-review-scraper`) Actor

Extract reviews, star ratings, reviewer details, and full product profiles from Gartner Peer Insights. No login required. Scrapes 1,000 reviews in under 60 seconds with parallel fetching. Filter by star rating, sort by most helpful or most recent. Export as JSON, CSV, or Excel.

- **URL**: https://apify.com/zen-studio/gartner-review-scraper.md
- **Developed by:** [Zen Studio](https://apify.com/zen-studio) (community)
- **Categories:** Automation, Integrations
- **Features:** Limited permissions
- **Stats:** 114 total users, 43 monthly users, 88.9% runs succeeded, 2 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.39 / 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.
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?

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 Peer Insights Reviews Scraper | Extract Reviews & Product Data (2026)

[![Full review history. Job titles. Industries. Company sizes.](https://api.apify.com/v2/key-value-stores/rfpznBPgVbyLYqNaQ/records/gartner-review-scraper-readme-hero-a4c9a77d7e80.png)](https://console.apify.com/actors/dBPQ5OIoRDYm1oNfe/input)

From **Zen Studio**, creators of [G2 Reviews](https://apify.com/zen-studio/g2-reviews-scraper) and [Capterra Reviews](https://apify.com/zen-studio/capterra-reviews-scraper), with **50,000+ combined lifetime runs** across those two review actors.

### Why choose this actor?

**Go through the full review history.** Collect all available reviews for a product, or set your own limit. Search patterns across years of feedback, then narrow the results by star rating or collect the most recent reviews first.

**Know who the feedback comes from.** Get reviewer job titles, industries and company-size bands alongside review summaries and ratings. Separate an enterprise IT team's experience from feedback by smaller businesses using the published reviewer details.

**Product and competitor context, included.** Get product and vendor descriptions, pricing descriptions, rating breakdowns and alternative products with their ratings where available. Compare up to 10 products per run, with each review linked to its product.

<a href="https://console.apify.com/actors/dBPQ5OIoRDYm1oNfe/input"><img src="https://api.apify.com/v2/key-value-stores/rfpznBPgVbyLYqNaQ/records/gartner-review-scraper-readme-cta-aa1b5276c125.svg" width="244" height="48" alt="Collect product reviews" /></a>

### Quick input

Start with 20 reviews from one product:

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

[Open actor input](https://console.apify.com/actors/dBPQ5OIoRDYm1oNfe/input). Set `maxResults` to **0 for the full available history on a paid Apify plan**. Free Apify accounts are limited to 50 reviews per run. Your spending limit still applies; reviews are billed under the current [Store pricing](https://apify.com/zen-studio/gartner-review-scraper/pricing).

Export JSON, CSV or Excel. Each product's profile is included as `productData` on its first returned review and saved to the run's key-value store. Set `includeProductData` to `false` for exports without nested product columns. Field availability depends on Gartner; detailed likes and dislikes are included for selected spotlight reviews where published.

<table><tr><td colspan="6" style="background:#002856;padding:10px 12px"><strong style="color:#FFFFFF;font-size:14px">Zen Studio · Software Reviews</strong></td></tr><tr><td style="padding:9px 10px;background:#D8EAF7;border:1px solid #C8DDEB;vertical-align:top"><span style="white-space:nowrap"><img src="https://apify-image-uploads-prod.s3.us-east-1.amazonaws.com/NWYsOG96fMDy8ycdf-actor-dBPQ5OIoRDYm1oNfe-AUuqN3een7-gartner-peer-insights-reviews-scraper.png" width="20" height="20" style="vertical-align:middle" alt="">&nbsp;<a href="https://apify.com/zen-studio/gartner-review-scraper" style="color:#002856;font-weight:700;font-size:13px;text-decoration:none">Gartner</a></span><br><span style="color:#304E65;font-size:12px;white-space:nowrap">You are here</span></td><td style="padding:9px 10px;background:#EDF6FC;border:1px solid #C8DDEB;vertical-align:top"><span style="white-space:nowrap"><img src="https://apify-image-uploads-prod.s3.us-east-1.amazonaws.com/NWYsOG96fMDy8ycdf-actor-XQAkoDssJyWZmyR0W-aBi9woFm7e-g2-scraper-logo.png" width="20" height="20" style="vertical-align:middle" alt="">&nbsp;<a href="https://apify.com/zen-studio/g2-reviews-scraper" style="color:#002856;font-weight:700;font-size:13px;text-decoration:none">G2 Reviews</a></span><br><span style="color:#304E65;font-size:12px;white-space:nowrap">Software feedback</span></td><td style="padding:9px 10px;background:#EDF6FC;border:1px solid #C8DDEB;vertical-align:top"><span style="white-space:nowrap"><img src="https://apify-image-uploads-prod.s3.us-east-1.amazonaws.com/NWYsOG96fMDy8ycdf-actor-x5wbchBdDewl20s3k-D82GiybXUd-capterra-review-scraper-logo.png" width="20" height="20" style="vertical-align:middle" alt="">&nbsp;<a href="https://apify.com/zen-studio/capterra-reviews-scraper" style="color:#002856;font-weight:700;font-size:13px;text-decoration:none">Capterra</a></span><br><span style="color:#304E65;font-size:12px;white-space:nowrap">Buyer reviews</span></td><td style="padding:9px 10px;background:#EDF6FC;border:1px solid #C8DDEB;vertical-align:top"><span style="white-space:nowrap"><img src="https://apify-image-uploads-prod.s3.us-east-1.amazonaws.com/NWYsOG96fMDy8ycdf-actor-WLXhoenmc5vv74kRq-UAl3HAjCjZ-trustradius-review-scraper-logo.png" width="20" height="20" style="vertical-align:middle" alt="">&nbsp;<a href="https://apify.com/zen-studio/trustradius-review-scraper" style="color:#002856;font-weight:700;font-size:13px;text-decoration:none">TrustRadius</a></span><br><span style="color:#304E65;font-size:12px;white-space:nowrap">B2B reviews</span></td><td style="padding:9px 10px;background:#EDF6FC;border:1px solid #C8DDEB;vertical-align:top"><span style="white-space:nowrap"><img src="https://apify-image-uploads-prod.s3.us-east-1.amazonaws.com/NWYsOG96fMDy8ycdf-actor-9UyFQFcuwmvWG91uH-BWRrsdwsuQ-software-reviews-aggregator-logo.png" width="20" height="20" style="vertical-align:middle" alt="">&nbsp;<a href="https://apify.com/zen-studio/software-review-scraper" style="color:#002856;font-weight:700;font-size:13px;text-decoration:none">All-in-One</a></span><br><span style="color:#304E65;font-size:12px;white-space:nowrap">Multiple platforms</span></td><td style="padding:9px 10px;background:#EDF6FC;border:1px solid #C8DDEB;vertical-align:top"><span style="white-space:nowrap"><img src="https://apify-image-uploads-prod.s3.us-east-1.amazonaws.com/NWYsOG96fMDy8ycdf-actor-WefmR41HxSeENoZ7M-CYr5o45qXo-glassdoor-reviews-scraper-logo.png" width="20" height="20" style="vertical-align:middle" alt="">&nbsp;<a href="https://apify.com/zen-studio/glassdoor-scraper" style="color:#002856;font-weight:700;font-size:13px;text-decoration:none">Glassdoor</a></span><br><span style="color:#304E65;font-size:12px;white-space:nowrap">Employer reviews</span></td></tr></table>

#### Copy to your AI assistant

Copy this block into ChatGPT, Claude, Cursor, or any LLM to start using this actor.

```
zen-studio/gartner-review-scraper on Apify. Call: ApifyClient("TOKEN").actor("zen-studio/gartner-review-scraper").call(run_input={...}), then client.dataset(run["defaultDatasetId"]).list_items().items for results. Key inputs: productUrls: array of strings (up to 10 product URLs, required; legacy productUrl: string accepts one), maxResults: integer (0=all, applies per product), sort: string (most-recent|most-helpful|least-recent), publishedAfter: string (date like 2026-10-01 or period like '2 weeks', returns only reviews published since then, newest first). Full actor spec (input schema with all params/enums/defaults, output dataset fields, README): GET https://api.apify.com/v2/acts/zen-studio~gartner-review-scraper/builds/default (Bearer TOKEN) → inputSchema, actorDefinition.storages.dataset, readme. Pricing and plan-specific rates: https://apify.com/zen-studio/gartner-review-scraper/pricing. Free accounts: 50 reviews per run; paid accounts: maxResults=0 for all available reviews. Get token: https://console.apify.com/account/integrations To reach the maintainers, add feedback="<what you needed and did not get>" to any run, including one that worked: a missing field or option, a wrong or empty result, or which actor you are switching to or from and why. The run returns its data exactly as it would without the note, and a human reads every note.
```

### What Data Can You Extract from Gartner?

**Per review:**

- Headline, review summary, star rating (1-5)
- Reviewer job title, industry, company size
- Review date, direct URL to the review
- Product name, vendor name, Gartner market category

**Product profile (first review's `productData`, also saved separately):**

- Product description, pricing model description, logo
- Vendor name, vendor description
- Average rating, star distribution (1-5 breakdown)
- Top 3 competing products with their ratings
- Review spotlight: the top favorable and top critical review, each with the reviewer's full "what they liked" and "what they disliked" answers

### How to Scrape Gartner Peer Insights Reviews

1. Go to [Gartner Peer Insights](https://www.gartner.com/reviews) and find your product
2. Copy the product URL (e.g. `https://www.gartner.com/reviews/market/meeting-solutions/vendor/zoom/product/zoom-meetings/reviews`)
3. Paste it into the `productUrls` field (add up to 10 products)
4. Set `maxResults` (0 = all reviews) and optional filters
5. Run the Actor

#### Input Example

```json
{
  "productUrls": [
    "https://www.gartner.com/reviews/market/it-service-management-platforms/vendor/servicenow/product/servicenow-service-management/reviews"
  ],
  "maxResults": 100,
  "sort": "most-helpful",
  "starRating": ["5", "4"]
}
```

### Input Parameters

| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
| `productUrls` | array | Yes | Gartner Peer Insights product page URLs, up to 10 per run |
| `productUrl` | string | No | A single product page URL. Used only when `productUrls` is empty |
| `maxResults` | integer | No | Max reviews to extract **per product**. `0` = all reviews. Default: `0` |
| `sort` | string | No | `most-recent` (default), `most-helpful`, or `least-recent` |
| `publishedAfter` | string | No | Only reviews published on or after this date, newest first. Calendar date (`2026-10-01`) or a period (`7 days`, `2 weeks`, `1 month`). Overrides `sort` with `most-recent`; `maxResults` still caps the run |
| `starRating` | array | No | Filter by star rating: `["5", "4", "3", "2", "1"]`. Empty = all |
| `includeProductData` | boolean | No | Include the profile on each product's first returned review. Default: `true`. Set `false` for CSV/Excel exports without nested product columns. Profiles remain in the key-value store |

`maxResults`, `sort`, `publishedAfter` and `starRating` apply to every product in the run.

A URL that names a market (`/reviews/market/<market>/...` or `?marketSeoName=<market>`) returns that market's reviews, as Gartner lists them. A URL without one, such as `https://www.gartner.com/reviews/product/zoom-meetings`, returns the product's reviews from every market it is listed in.

### Output

All reviews land in a single dataset (JSON/CSV/Excel). Every review carries `productId` and `productSeoName`, so results streamed to a webhook can be grouped by product. Dates are ISO (`YYYY-MM-DD`). By default, the first returned review for each product also contains `productData` with the profile shown below; subsequent reviews omit it. Set `includeProductData` to `false` to omit it from all reviews.

#### Output Example (Review)

```json
{
  "vendorName": "Zoom",
  "productName": "Zoom Meetings",
  "date": "2026-02-25",
  "headline": "Ease of Use Stands Out on Zoom Despite Limitations With Background Blurring",
  "summary": "I use zoom daily.  It has been enhanced greatly over the past 3-5 updates.  Very straightforward and easy to use.",
  "rating": 5,
  "url": "https://www.gartner.com/reviews/market/meeting-solutions/vendor/zoom/product/zoom-meetings/review/view/6656758",
  "jobTitle": "Software Developer",
  "industry": "Education",
  "companySize": "Gov't/PS/Ed",
  "sourceCode": 3,
  "incentiveCode": 2,
  "id": "6656758",
  "productId": "eb106b1d-4511-4491-9421-ebfcdca4de1c",
  "productSeoName": "zoom-meetings",
  "marketName": "Meeting Solutions",
  "scrapedAt": "2026-03-04T14:30:01.844097+00:00"
}
```

#### Product Profile (`productData` and Key-Value Store)

When available, the profile is stored as `PRODUCT_INFO` for a one-product run, and as `PRODUCT_INFO_<productSeoName>` for each product when a run has several. This applies even with `includeProductData: false` or no matching reviews. The run's **Product Profile Records** output lists the stored records and their download links. The object below is also included as `productData` on the first returned review for that product by default.

```json
{
  "type": "productInfo",
  "productName": "Zoom Meetings",
  "productId": "eb106b1d-4511-4491-9421-ebfcdca4de1c",
  "productLogo": "https://www.gartner.com/pi/vendorimages/zoom_1710957285536.jpg",
  "productDescription": "Zoom Meetings is a software designed to facilitate online meetings, video conferencing, and collaborative communication across different devices...",
  "pricingDescription": "Zoom Meetings software uses a tiered subscription pricing model, offering several plans with varying features based on usage needs...",
  "vendorName": "Zoom",
  "vendorId": "3706",
  "vendorDescription": "Zoom is an all-in-one intelligent collaboration platform that makes connecting easier, more immersive, and more dynamic for businesses and individuals...",
  "marketName": "Meeting Solutions",
  "averageRating": 4.5,
  "totalReviews": 6284,
  "overallRatings": { "1": 5, "2": 4, "3": 208, "4": 2308, "5": 3759 },
  "alternatives": [
    { "name": "Microsoft Teams", "seoName": "microsoft-teams", "reviewRating": 4.4, "reviewCount": 3664 },
    { "name": "Webex Suite", "seoName": "webex-suite", "reviewRating": 4.5, "reviewCount": 3124 },
    { "name": "Google Chat", "seoName": "google--chat", "reviewRating": 4.5, "reviewCount": 2535 }
  ],
  "reviewSpotlight": {
    "favorable": {
      "id": "6966038",
      "rating": 4,
      "headline": "Good video conferencing product, mediocre at other things for various reasons",
      "summary": null,
      "likes": "It's reliable, integrations work well, willingness for the company to iterate on the product is good.",
      "dislikes": "1) normal (i.e. 1080p) A/V fidelity is gatekept behind an additional license purchase...",
      "jobTitle": "IT Associate",
      "industry": "Software",
      "companySize": "3B - 10B USD",
      "date": "2026-09-02"
    },
    "critical": {
      "id": "6786406",
      "rating": 3,
      "headline": "Difficulty Managing Participant Controls Raises Concerns About Zoom Usability",
      "summary": null,
      "likes": "I have found it in the past to be good but there are some frustrating elements to it...",
      "dislikes": "Inability to bypass on the password requirement or not to force people to wait...",
      "jobTitle": "Software Developer",
      "industry": "Education",
      "companySize": "Gov't/PS/ED <5,000 Employees",
      "date": "2026-05-07"
    }
  }
}
```

### Pricing

The primary review-result charge is **$1.99 per 1,000 reviews on the Free plan** and **$1.39–$1.79 per 1,000 on paid plans**. Actor-start and dataset-item charges also apply. See the [Store Pricing tab](https://apify.com/zen-studio/gartner-review-scraper/pricing) for your plan's current rates.

Free Apify accounts can collect up to 50 reviews per run. Set `maxResults` to `0` on a paid plan for the full available history, subject to your spending limit.

### Advanced Usage

#### Scrape Several Products in One Run

Pass up to 10 product URLs. `maxResults` applies to each product, so this returns up to 300 reviews:

```json
{
  "productUrls": [
    "https://www.gartner.com/reviews/product/zoom-meetings",
    "https://www.gartner.com/reviews/product/microsoft-teams",
    "https://www.gartner.com/reviews/product/slack"
  ],
  "maxResults": 100
}
```

Reviews from all products land in the same dataset, each carrying `productId`, `productSeoName` and `productName`, so you can split them per product afterwards.

#### Extract All Reviews for a Product

Set `maxResults` to `0` to collect the full available review history on a paid Apify plan. Free Apify accounts are capped at 50 reviews per run; your spending limit also applies.

```json
{
  "productUrl": "https://www.gartner.com/reviews/market/meeting-solutions/vendor/zoom/product/zoom-meetings/reviews",
  "maxResults": 0
}
```

#### New Reviews Since a Date

For recurring monitoring, set `publishedAfter` to a date or a period such as `7 days`. The run collects newest first and stops at that date, so a weekly run returns just what is new. A run with nothing new ends with no reviews and logs "No new reviews since <date>".

```json
{
  "productUrl": "https://www.gartner.com/reviews/product/zoom-meetings",
  "publishedAfter": "2026-10-01"
}
```

#### Filter by Rating

Extract only negative reviews (1-3 stars) for competitor analysis:

```json
{
  "productUrl": "https://www.gartner.com/reviews/market/meeting-solutions/vendor/zoom/product/zoom-meetings/reviews",
  "starRating": ["1", "2", "3"],
  "sort": "most-recent"
}
```

#### Most Helpful Reviews First

Get the highest-signal reviews by sorting by helpfulness:

```json
{
  "productUrl": "https://www.gartner.com/reviews/market/meeting-solutions/vendor/zoom/product/zoom-meetings/reviews",
  "maxResults": 50,
  "sort": "most-helpful"
}
```

### API Integration

#### Python

```python
from apify_client import ApifyClient

client = ApifyClient("your_api_token")

run = client.actor("zen-studio/gartner-review-scraper").call(run_input={
    "productUrl": "https://www.gartner.com/reviews/market/it-service-management-platforms/vendor/servicenow/product/servicenow-service-management/reviews",
    "maxResults": 100,
    "sort": "most-helpful",
})

## Get reviews + product profile
reviews = list(client.dataset(run["defaultDatasetId"]).iterate_items())

## Product profile is in the run's key-value store
product = client.key_value_store(run["defaultKeyValueStoreId"]).get_record("PRODUCT_INFO")["value"]
print(f"{product['productName']}: {product['averageRating']}★ ({product['totalReviews']} reviews)")

for review in reviews:
    print(f"{review['rating']}★ - {review['headline']}")
```

#### JavaScript

```javascript
import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: "your_api_token" });

const run = await client.actor("zen-studio/gartner-review-scraper").call({
  productUrl: "https://www.gartner.com/reviews/market/it-service-management-platforms/vendor/servicenow/product/servicenow-service-management/reviews",
  maxResults: 100,
  sort: "most-helpful",
});

// Get reviews + product profile
const { items } = await client.dataset(run.defaultDatasetId).listItems();

// Product profile is in the run's key-value store
const { value: product } = await client.keyValueStore(run.defaultKeyValueStoreId).getRecord("PRODUCT_INFO");
console.log(`${product.productName}: ${product.averageRating}★ (${product.totalReviews} reviews)`);

items.forEach((r) => console.log(`${r.rating}★ - ${r.headline}`));
```

### Data Export

Results can be downloaded in:

- **JSON** -- for programmatic analysis and integrations
- **CSV** -- for spreadsheets and BI tools
- **Excel** -- for reporting and visualization

For CSV/Excel without nested product columns, set `includeProductData` to `false` before running. For an existing dataset, exclude `productData` when exporting. Product profiles remain available in the run's key-value store.

CSV and Excel downloads list columns alphabetically. To choose the columns and their order, list them under **Select fields** in the Export dialog (the `fields` parameter in the API), for example `vendorName`, `productName`, `date`, `headline`, `summary`, `rating`, `url`.

### FAQ

#### Is a Gartner account required?

No. The Actor extracts all reviews without a Gartner account or login.

#### How many reviews can I extract?

On a paid Apify plan, set `maxResults` to `0` to collect the full available history without an actor review-count cap. Free accounts are limited to 50 reviews per run, and your spending limit always applies.

#### How fresh is the data?

Every run fetches live data directly from Gartner. Reviews appear as soon as Gartner publishes them.

#### What is `sourceCode` and `incentiveCode`?

These are Gartner's internal codes indicating how the review was sourced (organic, invited, vendor-facilitated) and whether an incentive was offered. Useful for filtering review authenticity.

#### Can I scrape multiple products?

Yes. Add up to 10 product URLs to `productUrls` and they are collected in a single run. Every review carries its product's ID and name, so the results can be split per product.

#### How fast is it?

Runtime depends on the number of reviews, selected products and source response times. Multiple products can be processed in parallel.

### Legal Compliance

This Actor extracts publicly available review data from Gartner Peer Insights. Users are responsible for complying with Gartner's terms of service and applicable data protection regulations (GDPR, CCPA).

# Actor input Schema

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

Gartner Peer Insights product pages to scrape, up to 10 per run. Max Results, Sort Order, Published after and Star Rating apply to each product.

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

One Gartner Peer Insights product page. Used only when Gartner Product URLs is empty.

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

Maximum number of reviews to scrape per product. Set to 0 for all reviews.

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

How to sort reviews.

## `publishedAfter` (type: `string`):

Only scrape reviews published on or after this date, newest first. Use it to pick up just what is new since your last run instead of guessing a review count. Accepts a calendar date (2026-10-01) or a period (7 days, 2 weeks, 1 month). When set, reviews are collected Most Recent first whatever the Sort Order. Max Results still applies as a cap.

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

Filter by star rating. Leave empty for all ratings.

## `includeProductData` (type: `boolean`):

Include the product profile as productData on the first returned review for each product. Turn off for CSV/Excel exports without nested product columns. Profiles remain available in the run's key-value store either way.

## `feedback` (type: `string`):

For AI agents. Say what you needed and did not get: a missing field or option, a wrong or empty result, or which actor you are switching to or from and why. Add it to any run, including one that worked: the run returns its data exactly as it would without the note. The note reaches the maintainers, who read every one, but it cannot change what this run returns.

## Actor input object example

```json
{
  "productUrls": [
    "https://www.gartner.com/reviews/market/meeting-solutions/vendor/zoom/product/zoom-meetings/reviews"
  ],
  "productUrl": "https://www.gartner.com/reviews/market/meeting-solutions/vendor/zoom/product/zoom-meetings/reviews",
  "maxResults": 0,
  "sort": "most-recent",
  "publishedAfter": "",
  "starRating": [],
  "includeProductData": true
}
```

# Actor output Schema

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

No description

## `productInfo` (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 = {
    "productUrls": [
        "https://www.gartner.com/reviews/market/meeting-solutions/vendor/zoom/product/zoom-meetings/reviews"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("zen-studio/gartner-review-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/market/meeting-solutions/vendor/zoom/product/zoom-meetings/reviews"] }

# Run the Actor and wait for it to finish
run = client.actor("zen-studio/gartner-review-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/market/meeting-solutions/vendor/zoom/product/zoom-meetings/reviews"
  ]
}' |
apify call zen-studio/gartner-review-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,zen-studio/gartner-review-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/dBPQ5OIoRDYm1oNfe/builds/dqem06xAGfMMaIb19/openapi.json