# TrustRadius Reviews Scraper - B2B Software Reviews, Pros & Cons (`get_anything/trustradius-reviews-scraper`) Actor

Scrape TrustRadius B2B software reviews by product name or URL: rating, pros, cons, use cases, likelihood to recommend, reviewer role, industry and company size. Plus TrustRadius score, star breakdown and AI insights. Filter by stars, company size, date. Monitor new reviews.

- **URL**: https://apify.com/get_anything/trustradius-reviews-scraper.md
- **Developed by:** [Get Anything](https://apify.com/get_anything) (community)
- **Categories:** Lead generation, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.10 / 1,000 reviews

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
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?

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 - B2B Software Reviews, Pros & Cons

Scrape **TrustRadius B2B software reviews** by product name or URL and get every review as clean data:

- ⭐ **Rating (out of 10), title, date** and a link to the full review.
- ✅ **Pros and cons** as lists, plus **use cases & deployment scope** and **likelihood to recommend**.
- 👤 **Reviewer job title, department, company, industry and company size** (e.g. *Manager in Marketing, Computer Software, 5001-10,000 employees*), vetted-review flag and years of experience with the product.
- 📊 **Product summary row:** TrustRadius score, rating count, review count, **star breakdown**, reviews by company size, category, description and the **TrustRadius Community Insights** summary with top pros and cons.
- 🎯 **Filters:** star ratings (e.g. only 1-3 stars for complaints), reviewer company size (small, mid-size, enterprise), published since a date.
- 🔁 **Monitor mode:** schedule it and get only **new reviews** since the last run.

Type product names (`HubSpot CRM`, `Jira`, `Notion`), slugs (`slack`) or paste TrustRadius product URLs. No login, no cookies, no API key.

### What you can do with it

- **Competitive intelligence:** read what customers praise and hate about your competitors, by company size and industry.
- **Win/loss and churn research:** pull only 1-3 star reviews to collect complaints and switching reasons.
- **Product marketing:** mine pros and use cases for messaging, and find quotes from your own happy customers.
- **Sales enablement:** build battlecards from competitor cons for enterprise vs SMB buyers.
- **Review monitoring:** get new reviews of your product every week in Slack, Sheets or your CRM.
- **AI agents and LLMs:** ask an assistant to summarise the top complaints about a tool and it calls this Actor for live reviews.

### Input

| Field | Description |
|---|---|
| `products` | Product names, TrustRadius slugs or product URLs, one per line. |
| `maxReviewsPerProduct` | Default 20, newest first. `0` = all. |
| `starRatings` | Optional: `1`-`5` stars (1 star = rating 1-2 ... 5 stars = rating 9-10). |
| `companySizes` | Optional: `small` (1-50), `medium` (51-1,000), `large` (1,001+). |
| `reviewsSince` | Optional date `YYYY-MM-DD`. |
| `includeProductSummary` | One summary row per product (default on). |
| `onlyNewReviews` | Monitor mode: only reviews published since the last run. |

```json
{
  "products": ["HubSpot CRM", "Salesforce Sales Cloud", "https://www.trustradius.com/products/pipedrive/reviews"],
  "maxReviewsPerProduct": 50,
  "starRatings": ["1", "2", "3"],
  "companySizes": ["medium", "large"],
  "reviewsSince": "2025-01-01"
}
```

### Output

Review row:

```json
{
  "resultType": "review",
  "reviewId": "slack-2026-10-28-10-29-08-276",
  "productName": "Slack",
  "productSlug": "slack",
  "title": "Slack is a productivity hack",
  "rating": 10,
  "ratingScale": 10,
  "date": "2026-10-29T17:46:43.147Z",
  "url": "https://www.trustradius.com/reviews/slack-2026-10-28-10-29-08-276",
  "pros": ["Keeps side conversations about an account in one place", "Eliminates the need for more zoom meetings"],
  "cons": ["Notifications can get noisy, especially with so many integrations"],
  "useCases": "I manage a large bucket of accounts so I rely on Slack to collaborate with the rest of my team...",
  "likelihoodToRecommend": "If you rely on collaboration with others as part of your role, Slack is an absolute necessity...",
  "reviewerTitle": "Account Manager in Sales at TrustRadius (51-200 employees)",
  "reviewerCompany": "TrustRadius",
  "industry": null,
  "companySize": "51-200",
  "verification": "Vetted Review",
  "experience": "8 years of experience"
}
```

Product summary row:

```json
{
  "resultType": "product",
  "slug": "slack",
  "name": "Slack",
  "trScore": 9,
  "ratingCount": 10281,
  "totalReviews": 643,
  "category": "Collaboration",
  "starBreakdown": { "5star": 516, "4star": 116, "3star": 10, "1star": 1 },
  "reviewsByCompanySize": { "medium": 281, "small": 216, "large": 146 },
  "insightsPros": ["Seamless integration with third-party applications", "User-friendly interface and ease of use"],
  "insightsCons": ["Potential for noise from excessive or poorly managed channels"]
}
```

Many reviewers post as *Verified User*; for them `reviewerName` is `Verified User` and the company is not shown, but job title, industry and company size usually are.

### Use it from ChatGPT, Claude & AI agents

This Actor works as a tool for AI assistants through the **Apify MCP server**:

- **Claude, ChatGPT, Cursor, VS Code, Windsurf:** add this MCP server URL as a connector and sign in with your Apify account:

  ```
  https://mcp.apify.com/?tools=get_anything/trustradius-reviews-scraper
  ```

- **Claude Desktop / Cursor config:**

  ```json
  { "mcpServers": { "apify": { "url": "https://mcp.apify.com/?tools=get_anything/trustradius-reviews-scraper" } } }
  ```

- **REST / GPT Actions / LangChain:** `POST https://api.apify.com/v2/acts/get_anything~trustradius-reviews-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN`

Then ask, for example: *"Get the 30 newest 1-3 star TrustRadius reviews of HubSpot CRM from mid-size companies and summarise the top 5 complaints."*

### How much will it cost?

Pay per result, no subscription:

| Event | Price |
|---|---|
| Review | $3.00 per 1,000 reviews |
| Product summary row | $2.00 per 1,000 products |
| Actor start | $0.001 per run |

100 reviews of one product cost about **$0.30**. Higher Apify plans get up to 30% off.

### FAQ

**Which products are covered?** Any product with a TrustRadius reviews page; there are tens of thousands of B2B software products.

**How are names matched?** An exact TrustRadius slug wins; otherwise the most-reviewed search result whose slug contains your words. Check `productSlug` in the output, or paste the product URL to be exact.

**Why is the TrustRadius score out of 10?** TrustRadius rates on a 10-point scale; the star filter maps 1-5 stars to rating pairs (5 stars = 9-10).

**Does it return the full review text?** It returns everything shown in the review list: use cases, pros, cons and likelihood to recommend. Longer answers on the full review page (feature ratings, ROI, alternatives) are not included in this version.

### Changelog

- **0.1** - First release: product names/slugs/URLs, star, company size and date filters, product summary row with Community Insights, monitor mode.

### Support

Found a bug or need another field? Open an issue on the Issues tab and it will be looked at quickly.

# Actor input Schema

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

Software product names ('HubSpot CRM', 'Jira'), TrustRadius slugs ('slack') or product URLs (trustradius.com/products/slack/reviews), one per line. Names are matched with TrustRadius search (exact slug first, else the most-reviewed match).

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

How many reviews to return per product, newest first. 0 = all.

## `starRatings` (type: `array`):

Optional. Only reviews with these star ratings. Pick 1-3 stars to collect complaints and churn reasons.

## `companySizes` (type: `array`):

Optional. Only reviews from companies of these sizes.

## `reviewsSince` (type: `string`):

Optional. Only reviews published on or after this date (YYYY-MM-DD).

## `includeProductSummary` (type: `boolean`):

Add one row per product with TrustRadius score, rating count, review count, star breakdown, reviews by company size, category, description and the TrustRadius Community Insights summary, pros and cons.

## `onlyNewReviews` (type: `boolean`):

Remember which reviews were returned for each product and return only reviews published since the last run. Schedule it weekly to track new reviews of your product or competitors.

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

Optional. TrustRadius works without a proxy; turn on Apify Proxy if pages stop loading on large runs.

## Actor input object example

```json
{
  "products": [
    "slack"
  ],
  "maxReviewsPerProduct": 10,
  "includeProductSummary": true,
  "onlyNewReviews": false,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

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

One item per review, plus one product summary row per product.

# 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 = {
    "products": [
        "slack"
    ],
    "maxReviewsPerProduct": 10,
    "proxyConfiguration": {
        "useApifyProxy": false
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("get_anything/trustradius-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 = {
    "products": ["slack"],
    "maxReviewsPerProduct": 10,
    "proxyConfiguration": { "useApifyProxy": False },
}

# Run the Actor and wait for it to finish
run = client.actor("get_anything/trustradius-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 '{
  "products": [
    "slack"
  ],
  "maxReviewsPerProduct": 10,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}' |
apify call get_anything/trustradius-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,get_anything/trustradius-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/Hqnm3wiHZJMoKp96y/builds/gNU05aV3Oac4DQeZP/openapi.json