# PeerSpot Enterprise IT Reviews Scraper (`actor_builder/peerspot-scraper`) Actor

Scrape enterprise IT product reviews from PeerSpot: rating, pros and cons, full review text by section, sentiment, and reviewer job, industry and company size.

- **URL**: https://apify.com/actor\_builder/peerspot-scraper.md
- **Developed by:** [Green Salad](https://apify.com/actor_builder) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $10.00 / 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

## PeerSpot Enterprise IT Reviews Scraper

Scrape enterprise IT product reviews from [PeerSpot](https://www.peerspot.com) (formerly IT Central Station): rating, pros and cons, the full review split into sections (use case, valuable features, room for improvement, ROI…), sentiment score, and the reviewer's job, industry and company size.

### Use cases

- **Competitive analysis**: see what enterprise buyers praise and criticize in competing products
- **Product feedback**: mine "room for improvement" and "valuable features" sections
- **Market research**: compare ratings and sentiment across a category
- **Sales enablement**: find reviews by industry and company size

### Input

| Field | Default | Description |
|---|---|---|
| `productUrls` | required | PeerSpot product review URLs, e.g. `https://www.peerspot.com/products/microsoft-azure-reviews` |
| `maxPages` | `1` | Review pages per product (~10 reviews per page). `0` = all pages. |
| `proxyConfiguration` | Residential | Residential proxy recommended for large runs. |

### Output

One item per review:

```json
{
  "productName": "Microsoft Azure",
  "reviewId": 11456633,
  "reviewTitle": "Cloud migration has reduced hardware dependency and supports secure global access to apps",
  "shortSummary": "I use Microsoft Azure for cloud infrastructure, valuing its scalability, identity management, and reliable support. Desp…",
  "reviewBody": "Microsoft Azure is mainly used to provide cloud infrastructure and services for hosting applications, storing data, managing virtual machines, networking, backu…",
  "reviewSections": {
    "use_case": "Microsoft Azure is mainly used to provide cloud infrastructure and services for …",
    "valuable_features": "The best features Microsoft Azure offers are cloud scalability, virtual machines…",
    "room_for_improvement": "Cost management in Microsoft Azure can be complex, and beginners may find servic…"
  },
  "pros": "Microsoft Azure delivers a strong ROI by reducing hardware investment, minimizing maintenance overhead, and improving and supporting business continuity through cloud services.",
  "cons": "Cost management in Microsoft Azure can be complex, and beginners may find services difficult to navigate, so improvement is required in this area.",
  "rating": 4.5,
  "tenPointRating": 9,
  "sentiment": 7.5,
  "wordCount": 704,
  "publishedDate": "2026-05-07 18:02:34 UTC",
  "isIncentivized": true,
  "reviewerName": null,
  "reviewerUsername": "reviewer2832981",
  "reviewerJobFunction": "Cloud Administrator",
  "reviewerCompany": null,
  "reviewerIndustry": "Tech Vendor",
  "companySize": "Large",
  "professionalInfo": "Cloud Administrator at a tech vendor with 10,001+ employees"
}
```

| Field | Description |
|---|---|
| `productName`, `reviewId` | Product and PeerSpot review ID |
| `reviewTitle`, `shortSummary` | Review title and PeerSpot's short summary |
| `reviewBody` | Full review text, all sections joined |
| `reviewSections` | Review text by section (`use_case`, `valuable_features`, `room_for_improvement`, `ROI`, `setup_cost`, …) |
| `pros`, `cons` | Key pro and con |
| `rating`, `tenPointRating` | Rating out of 5 and out of 10 |
| `sentiment` | PeerSpot's sentiment score (0–10) |
| `wordCount`, `publishedDate`, `isIncentivized` | Review length, date and whether it was incentivized |
| `reviewerName` | Reviewer's name (`null` when the reviewer is anonymous on PeerSpot) |
| `reviewerUsername`, `reviewerJobFunction`, `reviewerCompany`, `reviewerIndustry`, `companySize`, `professionalInfo` | Reviewer details as shown on PeerSpot |

Each review appears once per run.

### How it works

The first review page embeds its reviews as JSON, which the actor reads directly. Later pages are plain HTML, so the actor collects their review IDs and opens each review (`?review_id=…`) to read the same JSON. Everything is fetched over plain HTTP (no browser), so runs are fast and light.

### Support

Found a bug, need a new field or want a custom scraper? Open an issue on the **Issues** tab or email **<apifybuilder@gmail.com>**.

# Actor input Schema

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

List of PeerSpot product review page URLs. Format: https://www.peerspot.com/products/{product-slug}-reviews

## `maxPages` (type: `integer`):

Maximum review pages per product (~10 reviews/page). 0 = all pages.

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

RESIDENTIAL proxies recommended as PeerSpot uses Cloudflare.

## Actor input object example

```json
{
  "productUrls": [
    "https://www.peerspot.com/products/microsoft-azure-reviews"
  ],
  "maxPages": 1,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

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

Enterprise IT reviews with rating, pros/cons, full text and reviewer details.

# 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.peerspot.com/products/microsoft-azure-reviews"
    ],
    "maxPages": 1,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("actor_builder/peerspot-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.peerspot.com/products/microsoft-azure-reviews"],
    "maxPages": 1,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("actor_builder/peerspot-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.peerspot.com/products/microsoft-azure-reviews"
  ],
  "maxPages": 1,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call actor_builder/peerspot-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,actor_builder/peerspot-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/um245jtBSRcVI2aGT/builds/JTn00WQN1hr5KfCKA/openapi.json