# Capterra Review Firehose — B2B Software Reviews API (`nexgendata/capterra-review-firehose`) Actor

Daily firehose of new Capterra and TrustRadius reviews for any SaaS product. Track competitive sentiment, capture displacement leads, monitor launches. Pay per review.

- **URL**: https://apify.com/nexgendata/capterra-review-firehose.md
- **Developed by:** [NexGenData](https://apify.com/nexgendata) (community)
- **Categories:** Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $50.00 / 1,000 review captureds

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/platform/actors/running/actors-in-store#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

## Capterra Review Firehose

Stream B2B software reviews from Capterra — ratings, pros, cons and reviewer role for competitive review monitoring.

> Public reviews only — reviewer identities are shown exactly as published on the source platform.

### ⏰ Run this as a weekly review monitor (recommended)

New reviews land continuously. Schedule a weekly sweep (`0 8 * * 1`) and catch fresh reviews as they post — always-on review monitoring.

### 📊 What you get

Clean JSON, one record per review (full output has 10 fields):

- `product` — Product
- `category` — Category
- `reviewer_name` — Reviewer name
- `reviewer_role` — Reviewer role
- `rating` — Rating
- `review_title` — Review title
- `pros` — Pros
- `cons` — Cons
- `review_date` — Review date
- `source_url` — Source url

**Pricing:** $0.150 per review (Pay-Per-Event) — about **7 reviews per $1**.

### 🤖 Use with AI agents

Point Claude, the OpenAI Agents SDK, an n8n flow or any MCP-aware client at it and pull data on demand.

**Agentic payments (x402):** Supports agentic payment via x402 — agents can call this actor with USDC, no API key required.

### 🔗 Related actors

**Review & app intelligence family — monitor reviews across every platform, score them, pipe them to Notion:**

[Apple App Store](https://apify.com/nexgendata/apple-app-store-scraper) · [Google Play Store](https://apify.com/nexgendata/google-play-store-scraper) · [Google Play Reviews](https://apify.com/nexgendata/google-play-reviews-scraper) · [iOS App Store Reviews](https://apify.com/nexgendata/ios-app-store-reviews-scraper) · [Google Maps Reviews](https://apify.com/nexgendata/google-maps-reviews) · [Amazon Reviews](https://apify.com/nexgendata/amazon-reviews) · [AI Sentiment Analyzer](https://apify.com/nexgendata/ai-sentiment-analyzer) · [Review Intelligence to Notion](https://apify.com/nexgendata/review-intelligence-notion)

**Agent front door — Review Intelligence MCP:** [Review Intelligence MCP](https://apify.com/nexgendata/review-intelligence-mcp-server)

## *This actor is currently private — treated and ready for review.*

*Public web data, assembled for research and monitoring.*

# Actor input Schema

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

List of products to fetch reviews for. Each item is an object with `source` (capterra | trustradius | g2), `productSlug`, and optional `productUrl`. Max 50 products per run. For Capterra, productSlug must be the URL slug after /p/, e.g. `152577/Salesforce-com` or supply the full productUrl.

## `sinceDate` (type: `string`):

Only emit reviews newer than this ISO date (YYYY-MM-DD). Leave blank for all available reviews.

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

Maximum number of reviews to capture per product.

## `minRating` (type: `integer`):

Only include reviews with rating >= this value (1-5).

## `maxRating` (type: `integer`):

Only include reviews with rating <= this value. Set to 3 for displacement-leads use case (unhappy reviewers).

## `includeReviewerProfile` (type: `boolean`):

When true, pull the reviewer's role, company size, and industry from the review byline.

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

Apify proxy configuration. Defaults to residential proxy group BUYPROXIES94952.

## Actor input object example

```json
{
  "products": [
    {
      "source": "capterra",
      "productSlug": "152577/Salesforce-com"
    }
  ],
  "sinceDate": "2026-05-01",
  "maxReviewsPerProduct": 50,
  "minRating": 1,
  "maxRating": 5,
  "includeReviewerProfile": true,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "BUYPROXIES94952"
    ]
  }
}
```

# 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": [
        {
            "source": "capterra",
            "productSlug": "152577/Salesforce-com"
        }
    ],
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "BUYPROXIES94952"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("nexgendata/capterra-review-firehose").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": [{
            "source": "capterra",
            "productSlug": "152577/Salesforce-com",
        }],
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["BUYPROXIES94952"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("nexgendata/capterra-review-firehose").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).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": [
    {
      "source": "capterra",
      "productSlug": "152577/Salesforce-com"
    }
  ],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "BUYPROXIES94952"
    ]
  }
}' |
apify call nexgendata/capterra-review-firehose --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=nexgendata/capterra-review-firehose",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/P9zQkcDDgPG6RBzi0/builds/YiSvXhaUngeWYf76O/openapi.json