# Gartner Peer Insights Market Scraper — Ranked Products ✅ (`neuralverge/neuralverge-gartner-market-products`) Actor

List the products of a Gartner Peer Insights market in Gartner's ranking: rating, review count, star distribution, vendor, description, review highlights and alternatives. Sort and reviewer filters, up to 250 per run. No API key, account or cookies.

- **URL**: https://apify.com/neuralverge/neuralverge-gartner-market-products.md
- **Developed by:** [NeuralVerge](https://apify.com/neuralverge) (community)
- **Categories:** Lead generation, Automation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$2.00 / 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?

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 Market Scraper — Ranked Products ✅

List the products of a Gartner Peer Insights market in Gartner's ranking: rating, review count, star distribution, vendor, description, review highlights and alternatives. Sort and reviewer filters, up to 250 per run. No API key, no account and no cookies required.

### ✨ Why this Actor

- **A competitive landscape in one run** — every product of a market with rating and review count.
- **Star distribution** per product, not just the average.
- **Filters as on Gartner** — company size, industry, region, last 12 months.
- **Alternatives** Gartner lists for each product.
- **Every field in its own column.** Nested blocks are flattened into their own columns, so the table and a CSV export show everything.
- **Billed only for a completed lookup.** A blocked page or an upstream error fails the run and costs nothing.

### 🔧 How it works

1. Enter market alias or URL.
2. The Actor calls the Neuralverge data engine, which reads the public page.
3. Each record is written as its own dataset row.

### Input

| Field | Meaning |
|---|---|
| `market` | The market alias from a Gartner Peer Insights URL, e.g. data-loss-prevention, or the URL itself. One market per run. |
| `maxItems` | How many rows to return, 1-250. You are charged per row delivered, so this is also the cap on what the run can cost. On the Apify Free plan a run is limited to 5 rows whatever you set here. |
| `sort` | Order of the products. |
| `reviewedLast12Months` | Count only reviews written in the last 12 months. |
| `companySize` | Optional. Reviewer company size filters, using the labels exactly as Gartner Peer Insights shows them. |
| `industry` | Optional. Reviewer industry filters, using the labels exactly as Gartner Peer Insights shows them. |
| `region` | Optional. Deployment region filters, using the labels exactly as Gartner Peer Insights shows them. |

```json
{
  "market": "data-loss-prevention",
  "maxItems": 25,
  "sort": "ratingsCount_desc",
  "reviewedLast12Months": false
}
```

### What you'll receive

One row per record with these columns: `market`, `position`, `id`, `name`, `alias`, `averageRating`, `reviewCount`, `ratingDistributionStar1`, `ratingDistributionStar2`, `ratingDistributionStar3`, `ratingDistributionStar4`, `ratingDistributionStar5`, `image`, `description`, `vendorName`, `vendorAlias`, `isLegacy`, `reviewSummaries`, `alternatives`, `url`.

Every field the source returns becomes a column, so a field added on the source side shows up as a new column rather than disappearing. Lists (images, tags, alternatives) stay lists. Everything arrives in a single Output tab: no preview view hides any field.

#### Example output (real run)

```json
[
  {
    "market": "data-loss-prevention",
    "position": 1,
    "id": "11424",
    "name": "Forcepoint DLP",
    "alias": "forcepoint-dlp",
    "averageRating": 4.4,
    "reviewCount": 611,
    "ratingDistributionStar1": 1,
    "ratingDistributionStar2": 8,
    "ratingDistributionStar3": 48,
    "ratingDistributionStar4": 282,
    "ratingDistributionStar5": 272,
    "image": "https://www.gartner.com/pi/vendorimages/forcepoint_data-loss-prevention_1675723137690.png",
    "description": "Forcepoint Data Loss Prevention helps organizations prevent sensitive data loss across endpoints, AI interactions, web, cloud applications, email, and networks.",
    "vendorName": "Forcepoint",
    "vendorAlias": "forcepoint",
    "isLegacy": false,
    "reviewSummaries": [
      "Issues With Agent Stability and Application Control Impact Forcepoint Data Loss Prevention",
      "Continuous Security Validation and Automation Enhance Defense Capabilities and Efficiency"
    ],
    "alternatives": [
      {
        "id": "142380",
        "name": "Microsoft Purview Data Loss Prevention",
        "alias": "microsoft-purview-data-loss-prevention",
        "averageRating": 4.2,
        "reviewCount": 65,
        "image": "https://www.gartner.com/pi/vendorimages/microsoft_data-loss-prevention_1696876041529.jpg",
        "vendorName": "Microsoft",
        "vendorAlias": "microsoft",
        "url": "https://www.gartner.com/reviews/product/microsoft-purview-data-loss-prevention"
      }
    ],
    "url": "https://www.gartner.com/reviews/product/forcepoint-dlp"
  },
  {
    "market": "data-loss-prevention",
    "position": 2,
    "id": "12606",
    "name": "Cisco Umbrella",
    "alias": "cisco-umbrella",
    "averageRating": 4.4,
    "reviewCount": 491,
    "ratingDistributionStar1": 0,
    "ratingDistributionStar2": 1,
    "ratingDistributionStar3": 30,
    "ratingDistributionStar4": 202,
    "ratingDistributionStar5": 258,
    "image": "https://www.gartner.com/pi/vendorimages/cisco_1591887602537.png",
    "description": "Cisco Umbrella is a cloud-delivered security software designed to protect users from online threats and enforce security policies across networks and devices.",
    "vendorName": "Cisco Systems",
    "vendorAlias": "cisco-systems",
    "isLegacy": false,
    "reviewSummaries": [
      "AI-driven accuracy delivers fast incident response to evolving data loss security threats"
    ],
    "alternatives": [],
    "url": "https://www.gartner.com/reviews/product/cisco-umbrella"
  }
]
```

When the lookup completes but finds nothing, the run writes one explicit row instead:

```json
{"market": "data-loss-prevention", "found": false, "message": "..."}
```

### Pricing

Pay per result, charged per dataset row. Starting the Actor is free and there is no minimum charge per run.

You pay for the rows delivered, so "Maximum items" is also the cap on what a run can cost, and the "Maximum cost per run" you set in Apify is honoured before anything is fetched.

- A completed lookup that finds nothing writes the single `found: false` row above, billed as one result — the work was performed either way.
- A run that **fails** is never charged: missing or invalid input, an upstream error, a timeout, and a page that was never retrieved all write nothing.
- Records the source repeats are removed before they are written, so a duplicate is never billed.

#### Free plan limits

On the Apify Free plan this Actor can be started 5 times per calendar month per user and returns at most 5 rows per run. Every Neuralverge Actor has its own allowance, and a run that finds nothing counts towards it. Any paid Apify plan removes both limits.

### Integrations & API

The dataset is available through the Apify API, and the Actor can be called from Apify Integrations, scheduled, or chained into another Actor like any other. Rows export to JSON, CSV, Excel and Google Sheets.

### FAQ

**What values do the filters take?**
The labels exactly as Gartner Peer Insights shows them in its filter panel, e.g. company size "1B - 3B USD".

**Can I look up many at once?**
Each run takes one input value. Start several runs in parallel or loop over your list with the Apify API.

**Do I need a Gartner Peer Insights account or cookies?**
No.

### Disclaimer

This Actor collects publicly available information from Gartner Peer Insights pages. It is not affiliated with, endorsed by or sponsored by Gartner Peer Insights; all trademarks belong to their owners. It does not log in, does not use cookies, and does not access personal accounts. You are responsible for how you use the data, including compliance with applicable laws and the terms of the source website.

# Actor input Schema

## `market` (type: `string`):

The market alias from a Gartner Peer Insights URL, e.g. data-loss-prevention, or the URL itself. One market per run.

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

How many rows to return, 1-250. You are charged per row delivered, so this is also the cap on what the run can cost. On the Apify Free plan a run is limited to 5 rows whatever you set here.

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

Order of the products.

## `reviewedLast12Months` (type: `boolean`):

Count only reviews written in the last 12 months.

## `companySize` (type: `array`):

Optional. Reviewer company size filters, using the labels exactly as Gartner Peer Insights shows them.

## `industry` (type: `array`):

Optional. Reviewer industry filters, using the labels exactly as Gartner Peer Insights shows them.

## `region` (type: `array`):

Optional. Deployment region filters, using the labels exactly as Gartner Peer Insights shows them.

## `apiKey` (type: `string`):

Only needed if you want to bill the lookups to your own Neuralverge account instead of paying per result here. Leave empty to use this Actor normally.

## Actor input object example

```json
{
  "market": "data-loss-prevention",
  "maxItems": 25,
  "sort": "ratingsCount_desc",
  "reviewedLast12Months": false
}
```

# Actor output Schema

## `results` (type: `string`):

The dataset rows of this run.

# 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 = {
    "market": "data-loss-prevention",
    "maxItems": 25
};

// Run the Actor and wait for it to finish
const run = await client.actor("neuralverge/neuralverge-gartner-market-products").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 = {
    "market": "data-loss-prevention",
    "maxItems": 25,
}

# Run the Actor and wait for it to finish
run = client.actor("neuralverge/neuralverge-gartner-market-products").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 '{
  "market": "data-loss-prevention",
  "maxItems": 25
}' |
apify call neuralverge/neuralverge-gartner-market-products --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,neuralverge/neuralverge-gartner-market-products"
        }
    }
}
```

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/PzyenyUyPfYPWCXS7/builds/kqvQwwCzhB9zelkIy/openapi.json