# G2 vs TrustRadius vs GetApp — Rating Comparison (`crawlyard/software-ratings-compare`) Actor

One row per software product with its rating and review count on G2, TrustRadius and GetApp side by side, plus the spread between platforms. Served from a pre-collected database, so results return in under a second.

- **URL**: https://apify.com/crawlyard/software-ratings-compare.md
- **Developed by:** [Crawlyard Data](https://apify.com/crawlyard) (community)
- **Categories:** Business, Developer tools, AI
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$1.00 / database query

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

## G2 vs TrustRadius vs GetApp — Rating Comparison

**8,641 software products** — one row per product with its **rating and review count on all three
major B2B review platforms**, side by side, plus the spread between them.

Every other Actor on the store gives you one platform. The interesting number is
the disagreement: QuickBooks Online sits 0.55 points apart between G2 and GetApp,
Apollo.io 0.45. That gap is what competitive-intelligence and vendor-selection
arguments are actually about.

### Output per product

`product`, `vendor`,
`g2Rating` /5 + `g2Reviews`,
`trustradiusRating` /10 + `trustradiusReviews`,
`getappRating` /5 + `getappReviews` (+ 5★/1★ counts),
`avgRating5` (normalised), `ratingSpread`, `totalReviews`, `platforms`, and the
source URL on each platform.

### Input

| Field | Meaning |
|---|---|
| `search` | Product or vendor name |
| `category` | Category slug, e.g. `accounting`, `crm` |
| `minPlatforms` | `2` = on at least two platforms, `3` = on all three |
| `minTotalReviews` | Drop thinly-reviewed products |
| `onlyDisagreements` | Keep only products where platforms differ by ≥0.3 |
| `limit` | `0` returns everything |

### Why it is fast

The comparison set is built in advance and ships inside the Actor, so a query is
a file read — sub-second, and it never fails on an anti-bot challenge.

### Pricing

One flat charge per run. A query that matches nothing is not charged.

# Actor input Schema

## `search` (type: `string`):

Filter by product or vendor name, e.g. "quickbooks" or "hubspot".

## `category` (type: `string`):

Filter by category slug, e.g. "accounting" or "crm".

## `minPlatforms` (type: `integer`):

2 = present on at least two review platforms, 3 = on all three.

## `minTotalReviews` (type: `integer`):

Drop products with fewer combined reviews than this.

## `onlyDisagreements` (type: `boolean`):

Keep products whose normalised ratings differ by 0.3 or more between platforms.

## `limit` (type: `integer`):

0 returns everything that matches.

## Actor input object example

```json
{
  "minPlatforms": 2,
  "minTotalReviews": 0,
  "onlyDisagreements": false,
  "limit": 0
}
```

# Actor output Schema

## `comparison` (type: `string`):

Matching products with all platform ratings as JSON.

## `comparisonCsv` (type: `string`):

Same result set exported as CSV.

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("crawlyard/software-ratings-compare").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("crawlyard/software-ratings-compare").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 '{}' |
apify call crawlyard/software-ratings-compare --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,crawlyard/software-ratings-compare"
        }
    }
}

```

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/lJzJwoOnmqazrj6oY/builds/nRjZcK8pgzYFPmxm1/openapi.json