# PeerSpot Reviews Scraper — B2B Software Reviews & Ratings (`fervent_bus/peerspot-scraper`) Actor

Extract verified B2B software reviews, ratings, and user testimonials from PeerSpot.com. Works with Claude, ChatGPT, and AI agents via Apify MCP.

- **URL**: https://apify.com/fervent\_bus/peerspot-scraper.md
- **Developed by:** [Archit Khurana](https://apify.com/fervent_bus) (community)
- **Categories:** Lead generation
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 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?

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

## PeerSpot Reviews Scraper

Extract verified B2B software reviews, ratings, and user testimonials from PeerSpot.com - the leading platform for enterprise technology decision makers.

### What it Does

This actor scrapes:

- ✅ Product reviews with star ratings (1-5)
- ✅ Reviewer names, titles, and companies
- ✅ Full review text with pros/cons
- ✅ Review publication dates
- ✅ Product comparisons and insights

### Use Cases

- **AI/LLM Integration**: Connect via Apify MCP to Claude, ChatGPT, or any AI agent
- **Market Research**: Analyze competitor products and user sentiment
- **Lead Generation**: Find decision makers reviewing specific software categories
- **Product Intelligence**: Track user feedback on enterprise software products

### Input

| Field | Type | Description |
|-------|------|-------------|
| `searchQuery` | string | Search for products by keyword (e.g., "CRM", "firewall") |
| `categoryUrl` | string | URL of a PeerSpot category page |
| `productUrls` | array | List of specific product review page URLs |
| `maxResults` | integer | Maximum number of reviews to scrape (default: 100) |

### Example Input

```json
{
  "searchQuery": "firewall",
  "maxResults": 50
}
```

Or scrape a specific category:

```json
{
  "categoryUrl": "https://www.peerspot.com/categories/firewalls",
  "maxResults": 100
}
```

### Output

Each review includes:

```json
{
  "productName": "Microsoft Power BI",
  "reviewText": "PeerSpot is a goldmine...",
  "rating": "4",
  "reviewerName": "Brian H.",
  "reviewerTitle": "Principal DevOps Engineer at a large healthcare company",
  "reviewDate": "Jul 20, 2026",
  "sourceUrl": "https://www.peerspot.com/products/microsoft-power-bi-reviews",
  "scrapedAt": "2026-08-19T06:30:00.000Z"
}
```

### Pricing

- $0.005 per review (result)
- $0.05 one-time actor start fee

### Works With

- ✅ Claude via Apify MCP
- ✅ ChatGPT via Apify Integration
- ✅ Any AI agent with Apify connector

### Technical Details

- **No bot protection**: Clean HTML scraping with httpx
- **Fast**: 100 reviews in ~2-3 minutes
- **Reliable**: Built-in retry logic and error handling

### Notes

- PeerSpot has 910,000+ enterprise tech professionals
- All reviews are verified real users within the last 12 months
- Average review length: 600 words

### Support

Issues or questions? Contact the developer via [Apify Console](https://console.apify.com/actors/fervent_bus~peerspot-scraper).

# Actor input Schema

## `productName` (type: `string`):

Name of the product to scrape reviews for (e.g., 'Microsoft Power BI', 'Fortinet FortiGate', 'VMware vSphere')

## `maxReviews` (type: `integer`):

Maximum number of reviews to scrape per product

## `includeComparisons` (type: `boolean`):

Also scrape product comparison pages

## Actor input object example

```json
{
  "productName": "Microsoft Power BI",
  "maxReviews": 50,
  "includeComparisons": true
}
```

# Actor output Schema

## `productName` (type: `string`):

Name of the software product being reviewed

## `reviewText` (type: `string`):

Full text of the review

## `rating` (type: `string`):

Star rating (1-5)

## `reviewerName` (type: `string`):

Name of the reviewer

## `reviewerTitle` (type: `string`):

Job title and company of the reviewer

## `reviewDate` (type: `string`):

Date when the review was published

## `sourceUrl` (type: `string`):

URL of the product page

## `scrapedAt` (type: `string`):

Timestamp when the data was scraped

# 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 = {
    "productName": "Microsoft Power BI",
    "maxReviews": 50,
    "includeComparisons": true
};

// Run the Actor and wait for it to finish
const run = await client.actor("fervent_bus/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 = {
    "productName": "Microsoft Power BI",
    "maxReviews": 50,
    "includeComparisons": True,
}

# Run the Actor and wait for it to finish
run = client.actor("fervent_bus/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 '{
  "productName": "Microsoft Power BI",
  "maxReviews": 50,
  "includeComparisons": true
}' |
apify call fervent_bus/peerspot-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,fervent_bus/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/CN001ec5fYP2RbD6M/builds/F4dWEowYCuXsB8byq/openapi.json