# TrustRadius Reviews Scraper – Software Reviews (`ener90/software-reviews-scraper`) Actor

Scrapes B2B software reviews from TrustRadius: rating, pros, cons, use cases, likelihood to recommend and date, plus product rating. Unofficial TrustRadius API for competitor and market research. US$1.50 per 1,000 reviews. Optional AI insights (own Gemini/OpenAI key): US$0.20/1k reviews.

- **URL**: https://apify.com/ener90/software-reviews-scraper.md
- **Developed by:** [René Del Valle Rodríguez](https://apify.com/ener90) (community)
- **Categories:** Lead generation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per event

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

## TrustRadius Reviews Scraper (Software Reviews)

> **Source: TrustRadius only.** G2 and Capterra are currently **not supported**. / **Fuente: solo TrustRadius.** G2 y Capterra **no están soportados** por ahora.

**Pricing:** US$0.0015 per review (US$1.50 per 1,000). Product rows and the beta AI summary are free. / **Precio:** US$0,0015 por reseña (US$1,50 por 1.000); las filas de producto y el resumen IA (beta) no se cobran.

🇬🇧 [English](#english) · 🇪🇸 [Español](#español)

### English

Scrape **B2B software reviews from TrustRadius**. For each review you get the rating (/10 and /5), pros, cons, use cases, likelihood to recommend, date, source (e.g. *Incentivized*), vetted flag and URL. You also get a product row (overall rating, review count) and an optional **AI summary** per product (sentiment, top pros and cons, common complaints). Reliability first: it runs a real browser over a residential proxy, retries automatically and rotates sessions on anti-bot pages. **Reviewer names are never collected.**

**Use cases**

- Competitive research and battlecards: what users love or hate about competitors.
- Product and market research: frequent complaints and feature gaps.
- Feeding reviews to an AI agent or a RAG pipeline.

**Input example**

```json
{ "products": ["slack", "hubspot-crm"], "maxReviewsPerProduct": 100, "aiSummary": false }
```

You can use either `startUrls` with TrustRadius product URLs or `products` with slugs (the part after `/products/`).

**Output example (review)**

```json
{ "type": "review", "productName": "Slack", "rating": 8, "ratingNormalized5": 4, "date": "2025-11-05T19:49:20.867Z",
  "pros": ["Direct communication with teams…"], "cons": ["Group chats limited to nine people…"],
  "useCases": "Colleague communication.", "likelihoodToRecommend": "…", "reviewSource": "Incentivized", "vetted": true,
  "reviewUrl": "https://www.trustradius.com/reviews/slack-2025-10-23-01-47-47" }
```

**AI summary (optional):** set `aiSummary: true` and supply your own OpenAI-compatible key (`aiApiKey`). OpenAI, OpenRouter, xAI and Groq all work through `aiBaseUrl`. You get one `ai-summary` row per product.

**Integrations:** the Apify API (`run-sync-get-dataset-items`), n8n, Make and Zapier (official Apify node or app), and the [Apify MCP server](https://mcp.apify.com) for Claude, ChatGPT or Cursor ("summarize the latest TrustRadius reviews of HubSpot CRM"). Export to JSON, CSV or Excel.

**FAQ**

- *G2 / Capterra?* Not yet. Both use strong anti-bot protection (DataDome and Cloudflare Turnstile), and we only ship sources that work reliably. They're on the roadmap.
- *How many reviews per page?* 10, newest first. Set `maxReviewsPerProduct`.
- *Personal data?* No names. Reviewer role and company size are opt-in (`includeReviewerInfo`).
- *Legal?* Only public review content is collected. Check TrustRadius's terms and your local law for your use case.

### Español

Extrae **reseñas de software B2B desde TrustRadius**. Cada reseña trae la nota (/10 y /5), pros, contras, casos de uso, probabilidad de recomendar, fecha, origen (por ejemplo *Incentivized*), si está verificada y la URL. Además entrega una fila por producto (nota general y número de reseñas) y, opcionalmente, un **resumen con IA** por producto (sentimiento, principales pros y contras, quejas frecuentes). Está pensado para ser confiable: usa un navegador real con proxy residencial, reintenta solo y cambia de sesión cuando aparece una página antibot. **No guarda nombres de quienes escriben las reseñas.**

**Casos de uso:** análisis de la competencia, investigación de producto (quejas frecuentes y funciones que faltan) y alimentar agentes de IA o pipelines RAG.

**Entrada:** `products` con slugs (por ejemplo `slack`) o `startUrls` con URLs de TrustRadius, y `maxReviewsPerProduct`. Para el resumen con IA, `aiSummary` y tu propia clave (`aiApiKey`). El rol y el tamaño de empresa del autor van solo si activas `includeReviewerInfo`.

**Integraciones:** API de Apify, n8n, Make, Zapier y el servidor MCP de Apify (Claude, ChatGPT, Cursor). Exporta a JSON, CSV o Excel.

**Preguntas frecuentes**

- *¿G2 y Capterra?* Todavía no, por su antibot fuerte (DataDome y Cloudflare Turnstile). Están en el roadmap.
- *¿Datos personales?* No se guardan nombres.
- *¿Es legal?* Solo se extrae contenido público de las reseñas. Revisa los términos de TrustRadius y las leyes de tu país para tu caso.

### 🤖 AI insights (optional) / Análisis con IA (opcional)

Turn on **AI insights** and paste your own **Gemini** key (free tier at [aistudio.google.com](https://aistudio.google.com/apikey)) or your **OpenAI** key. After scraping, the Actor adds one row per product with **sentiment %, top pros and cons, recurring complaints, feature requests, notable quotes and an executive summary**, so you get the main findings from 1,000 reviews in about a minute. **AI add-on price: US$0.0002 per review analyzed (US$0.20 per 1,000), event `review-analyzed`, effective 20 Oct 2026. Only charged when AI insights are on.** The AI tokens are billed by your own provider. It's off by default.

Activa **AI insights** y pega tu key de **Gemini** o de **OpenAI**. Al terminar, el actor agrega una fila por producto con el **% de sentimiento, los pros y contras principales, las quejas que se repiten, lo que piden los clientes y un resumen ejecutivo**. Precio del add-on: US$0,0002 por reseña analizada (US$0,20 por 1.000), vigente desde el 20 oct 2026; solo se cobra si activas el análisis con IA. Los tokens de IA los cobra tu proveedor. Viene desactivado por defecto.

### ❓ FAQ

**Is there a TrustRadius API?**
TrustRadius has no public reviews API. This scraper works as an unofficial TrustRadius API: export reviews to JSON, CSV, Excel or Google Sheets.

**Is it legal?**
It only collects publicly visible review content and never reviewer names. Check the terms that apply to your use case.

**¿Funciona en español?**
Sí. El soporte es en español y el output se puede exportar a Excel.

### 🔗 More scrapers by ener90 / Más scrapers de ener90

- [Mercado Libre Reviews & Questions Scraper](https://apify.com/ener90/mercadolibre-reviews-questions) – opiniones y preguntas de Mercado Libre
- [Mercado Libre Price Tracker](https://apify.com/ener90/mercadolibre-seller-price-monitor) – monitor de precios de tiendas oficiales de Mercado Libre
- [Walmart Reviews Scraper](https://apify.com/ener90/walmart-products-reviews) – reseñas y productos de Walmart
- [Product Hunt Scraper](https://apify.com/ener90/product-hunt-launches) – lanzamientos diarios de Product Hunt
- Chile Real Estate Scraper (Portal Inmobiliario + TocToc) (`ener90/chile-real-estate-scraper`, coming soon / próximamente) – propiedades en venta y arriendo en Chile
- AI Review Insights (`ener90/ai-review-insights`, coming soon / próximamente) – análisis de reseñas con IA

Need a custom scraper or a different site? Open an issue in the **Issues** tab. / ¿Necesitas un scraper a medida? Escríbeme en la pestaña **Issues** (soporte en español).

### 🧩 API & integrations quick start

**cURL (sync, returns items)**

```bash
curl -X POST "https://api.apify.com/v2/acts/ener90~software-reviews-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" -d '{"products":["slack"],"maxReviewsPerProduct":50}'
```

**Node.js**

```js
import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('ener90/software-reviews-scraper').call({"products":["slack"],"maxReviewsPerProduct":50});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
```

**Python**

```python
from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("ener90/software-reviews-scraper").call(run_input={"products":["slack"],"maxReviewsPerProduct":50})
items = client.dataset(run["defaultDatasetId"]).list_items().items
```

- **Google Sheets:** add the *Google Sheets* integration to a saved Task, or use `=IMPORTDATA("https://api.apify.com/v2/datasets/<DATASET_ID>/items?format=csv&clean=1")`.
- **n8n / Make / Zapier:** use the official Apify node or app: *Run Actor* (`ener90/software-reviews-scraper`) → *Get dataset items*.
- **Webhooks:** on a Task, add an integration *Run succeeded* → your URL (gets `defaultDatasetId`).
- **AI agents (MCP):** `https://mcp.apify.com?actors=ener90/software-reviews-scraper` works in Claude, ChatGPT, Cursor or any MCP client.
- **Free plan:** works on Apify's free tier; usage is billed per result (see Pricing). Start with small limits to try it out.

### 📝 Changelog

- 0.1 (2026-10-20): first public release (TrustRadius). G2/Capterra not supported yet. AI summary in beta (free).

Issues or ideas? Open an issue in the **Issues** tab and we usually reply within 24 h.

# Changelog

This Actor's version history is a separate document: https://apify.com/ener90/software-reviews-scraper/changelog.md

# Actor input Schema

## `startUrls` (type: `array`):

e.g. https://www.trustradius.com/products/slack/reviews

## `products` (type: `array`):

Alternative to URLs: TrustRadius slugs like slack, hubspot-crm, jira.

## `maxReviewsPerProduct` (type: `integer`):

TrustRadius shows 10 reviews per page, newest first.

## `includeProductInfo` (type: `boolean`):

One row per product with overall rating and review count.

## `includeReviewerInfo` (type: `boolean`):

Job role / company size and years of experience. Reviewer names are never collected.

## `aiSummary` (type: `boolean`):

Adds one AI row per product (sentiment, top pros/cons, complaints). Needs your own OpenAI-compatible or Gemini API key; US$0.20 per 1,000 reviews analyzed (only when AI insights are on); AI tokens are billed by your provider. Off by default.

## `aiProvider` (type: `string`):

Leave empty to auto-detect from the key (keys starting with 'sk-' are OpenAI, others Gemini).

## `aiApiKey` (type: `string`):

OpenAI-compatible or Gemini key. Used only for the AI calls; never logged.

## `aiBaseUrl` (type: `string`):

Any OpenAI-compatible endpoint (OpenAI, OpenRouter, xAI, Groq…).

## `aiModel` (type: `string`):

Model name for the endpoint.

## `aiLanguage` (type: `string`):

Language of the AI text (e.g. English, Spanish, Portuguese).

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

Residential proxy recommended (TrustRadius uses Cloudflare).

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://www.trustradius.com/products/slack/reviews"
    }
  ],
  "maxReviewsPerProduct": 50,
  "includeProductInfo": true,
  "includeReviewerInfo": false,
  "aiSummary": false,
  "aiBaseUrl": "https://api.openai.com/v1",
  "aiModel": "gpt-4o-mini",
  "aiLanguage": "English",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  }
}
```

# Actor output Schema

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

No description

## `summaries` (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 = {
    "startUrls": [
        {
            "url": "https://www.trustradius.com/products/slack/reviews"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("ener90/software-reviews-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 = { "startUrls": [{ "url": "https://www.trustradius.com/products/slack/reviews" }] }

# Run the Actor and wait for it to finish
run = client.actor("ener90/software-reviews-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 '{
  "startUrls": [
    {
      "url": "https://www.trustradius.com/products/slack/reviews"
    }
  ]
}' |
apify call ener90/software-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,ener90/software-reviews-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/Ncpm5lpZv4rR4gtFr/builds/LnjXWmuDm8Pcs5Cws/openapi.json