# Gartner Peer Insights Scraper (`crawlerbros/gartner-scraper`) Actor

Scrape Gartner Peer Insights with extract product profiles, star ratings, review breakdowns, reviewer demographics (industry, company size, job title), and market/category listings. No login required.

- **URL**: https://apify.com/crawlerbros/gartner-scraper.md
- **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community)
- **Categories:** Developer tools, Automation, Other
- **Stats:** 7 total users, 1 monthly users, 94.6% runs succeeded, 0 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $3.00 / 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

## Gartner Peer Insights Scraper

Extract product profiles, ratings, reviews, and market categories from [Gartner Peer Insights](https://www.gartner.com/reviews/) — the B2B software review platform trusted by enterprise IT buyers worldwide.

### What it does

- **Product profiles** — name, vendor, markets, overall rating, star distribution, dimension ratings (evaluation, integration, support)
- **Reviews** — headline, summary, rating, reviewer job title, industry, company size, review date
- **Likes & dislikes** — extracted from featured/highlighted reviews
- **Market product listings** — all products listed under a Gartner market category
- **Category directory** — full listing of all Gartner markets and categories

No login or cookies required.

### Input

| Field | Type | Description |
|---|---|---|
| `mode` | select | `products` (default), `market`, or `categories` |
| `productUrls` | string list | Gartner product page URLs (mode=products) |
| `marketSeoName` | string | Market URL slug, e.g. `sales-force-automation-platforms` (mode=market) |
| `useFilters` | boolean | Fetch rating/sort filter variants to maximise unique reviews (default: true) |
| `maxItems` | integer | Max records to emit (default: 100) |
| `proxyConfiguration` | object | Apify proxy settings (residential recommended) |

#### Example: scrape a product

```json
{
  "mode": "products",
  "productUrls": [
    "https://www.gartner.com/reviews/product/salesforce-sales-cloud",
    "https://www.gartner.com/reviews/product/hubspot-crm"
  ],
  "useFilters": true
}
```

#### Example: list products in a market

```json
{
  "mode": "market",
  "marketSeoName": "sales-force-automation-platforms"
}
```

#### Example: list all categories

```json
{
  "mode": "categories"
}
```

### Output

Each record has a `type` field to distinguish record types.

#### Product record (`type: "product"`)

```json
{
  "type": "product",
  "url": "https://www.gartner.com/reviews/product/salesforce-sales-cloud",
  "productId": 5691,
  "productName": "Salesforce Sales Cloud",
  "productSeoName": "salesforce-sales-cloud",
  "vendorId": "217",
  "vendorName": "Salesforce",
  "vendorSeoName": "salesforce",
  "markets": [{ "id": 108, "name": "Sales Performance Management", "seoName": "..." }],
  "totalReviews": 2464,
  "averageRating": 4.4,
  "ratingsBreakdown": { "1": 2, "2": 30, "3": 202, "4": 1112, "5": 1118 },
  "dimensionRatings": [
    { "dimension": "evaluation-contracting", "reviewCount": 2424, "averageRating": 4.2 }
  ],
  "alternatives": [{ "name": "HubSpot CRM", "seoName": "hubspot-crm", "averageRating": 4.5 }],
  "scrapedAt": "2026-05-09T10:00:00Z"
}
```

#### Review record (`type: "review"`)

```json
{
  "type": "review",
  "reviewId": "6487446",
  "reviewUrl": "https://www.gartner.com/reviews/review/view/6487446",
  "productSeoName": "salesforce-sales-cloud",
  "headline": "Sales Teams Benefit from Activity Tracking",
  "summary": "Working with Salesforce has been a very positive experience...",
  "likes": "It's a very configurable platform...",
  "dislikes": "Pricing is a concern for smaller teams...",
  "rating": 5,
  "reviewDate": "Nov 13, 2025",
  "jobTitle": "SALESFORCE BUSINESS ANALYST",
  "industry": "Miscellaneous",
  "companySize": "50M-1B USD",
  "incentivized": "Incentivized",
  "source": "initial",
  "scrapedAt": "2026-05-09T10:00:00Z"
}
```

#### Category record (`type: "category"`)

```json
{
  "type": "category",
  "marketId": 108,
  "marketName": "Sales Performance Management",
  "marketSeoName": "sales-performance-management",
  "categoryName": "Sales",
  "categorySeoName": "sales",
  "scrapedAt": "2026-05-09T10:00:00Z"
}
```

### Review availability

Gartner Peer Insights serves review data via server-side rendering. Up to **5 reviews** are embedded per product page; 2 of those are additionally highlighted as "critical" and "favorable" reviews and include `likes`/`dislikes` fields. The actor merges both sources so the richer data is always included.

Gartner gates full review pagination behind a login wall — unauthenticated visitors receive the same 5 reviews regardless of sort/filter parameters. The `useFilters` option is available for future compatibility but does not currently increase the review count.

### FAQ

**Does this require a Gartner account?**
No. The scraper uses publicly accessible page HTML. No cookies or credentials are needed.

**Can I scrape all reviews for a product?**
Gartner gates full review pagination behind a login wall. This actor extracts all reviews available to unauthenticated visitors (typically 15–35 unique reviews per product using filter variants).

**How do I find a market SEO name?**
Navigate to a Gartner market page and copy the slug from the URL, e.g. for `https://www.gartner.com/reviews/market/sales-force-automation-platforms` the seoName is `sales-force-automation-platforms`.

**Do I need a proxy?**
Residential proxies are recommended for large-scale scraping. For small runs (1–10 products), the scraper works without a proxy.

**How often does data update on Gartner?**
Gartner aggregates new reviews continuously. Re-run this actor periodically to capture new reviews.

# Actor input Schema

## `mode` (type: `string`):

What to scrape: product pages with reviews, all products in a market, or all market categories.

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

Gartner Peer Insights product page URLs (e.g. https://www.gartner.com/reviews/product/salesforce-sales-cloud). Used for mode=products.

## `marketSeoName` (type: `string`):

Gartner market slug for mode=market (e.g. sales-force-automation-platforms, crm-customer-engagement-center). Find it in the Gartner market page URL.

## `useFilters` (type: `boolean`):

When enabled, fetches each product page with multiple rating and sort filters to maximise the number of unique reviews extracted per product.

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

Maximum number of product/review/category records to emit.

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

Apify proxy settings. Residential proxies are recommended for production runs.

## Actor input object example

```json
{
  "mode": "categories",
  "productUrls": [
    "https://www.gartner.com/reviews/product/salesforce-sales-cloud"
  ],
  "useFilters": true,
  "maxItems": 100
}
```

# Actor output Schema

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

Dataset containing scraped Gartner Peer Insights records.

# 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 = {
    "mode": "categories",
    "productUrls": [
        "https://www.gartner.com/reviews/product/salesforce-sales-cloud"
    ],
    "marketSeoName": "",
    "useFilters": true,
    "maxItems": 100
};

// Run the Actor and wait for it to finish
const run = await client.actor("crawlerbros/gartner-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 = {
    "mode": "categories",
    "productUrls": ["https://www.gartner.com/reviews/product/salesforce-sales-cloud"],
    "marketSeoName": "",
    "useFilters": True,
    "maxItems": 100,
}

# Run the Actor and wait for it to finish
run = client.actor("crawlerbros/gartner-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 '{
  "mode": "categories",
  "productUrls": [
    "https://www.gartner.com/reviews/product/salesforce-sales-cloud"
  ],
  "marketSeoName": "",
  "useFilters": true,
  "maxItems": 100
}' |
apify call crawlerbros/gartner-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,crawlerbros/gartner-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/c6q6E5czRN1k3fWXk/builds/DH8II2gUMhEH34ckR/openapi.json