# G2 Reviews Scraper - Latest Software Reviews, Cheap (`fabrikit/g2-reviews-scraper`) Actor

G2 reviews scraper for monitoring: the latest reviews of any G2 software product by name, slug or URL, with rating, title, likes, dislikes, problems solved, role, industry and company size. No login, no personal data. From US$2.00 per 1,000 reviews.

- **URL**: https://apify.com/fabrikit/g2-reviews-scraper.md
- **Developed by:** [Fabrikit](https://apify.com/fabrikit) (community)
- **Categories:** Lead generation, AI, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 review scrapeds

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

## G2 Reviews Scraper

Get the latest reviews of any software product on G2, as clean structured data, with no login and no browser.

Enter product names, slugs or G2 links and the Actor returns the most recent reviews of each product: star rating, title, what the reviewer likes best, dislikes, the problems the product solves, recommendations when present, reviewer role, industry and company size band, and the publish date.

### Important scope note

G2 publishes only the **25 most recent reviews per product** through its public feed. The Actor cannot page back through a product's whole history. That makes it ideal for:

- monitoring new reviews of your own product and your competitors on a schedule (use `reviewsNewerThan`),
- quick competitor snapshots across dozens of products,
- feeding alerts, dashboards and sentiment pipelines with fresh reviews.

If you need the full historical archive of a product, this is not the right tool.

### Input

```json
{
  "products": ["slack", "https://www.g2.com/products/notion/reviews", "HubSpot Sales Hub"],
  "maxReviewsPerProduct": 25,
  "maxItems": 100,
  "ratings": ["1", "2"],
  "reviewsNewerThan": "2026-10-01"
}
```

| Field | Meaning |
|---|---|
| `products` | G2 URLs, slugs (`notion`) or names (`HubSpot Sales Hub`) |
| `maxReviewsPerProduct` | 1 to 25 |
| `maxItems` | Hard cap for the whole run |
| `ratings` | Keep only these star ratings (4.5 counts as 5) |
| `reviewsNewerThan` | `YYYY-MM-DD` cut-off |

Renamed products are followed automatically. Unknown products are reported in the run summary without stopping the run.

### Output example

```json
{
  "id": "13768494",
  "url": "https://www.g2.com/products/jira/reviews/jira-review-13768494",
  "productSlug": "jira",
  "productName": "Jira",
  "title": "Flexible Project Tracking with Clear Visibility",
  "rating": 5,
  "reviewerRole": "G2 User",
  "companySize": "1,001-5,000 employees",
  "likes": "...",
  "dislikes": "...",
  "problemsSolved": "...",
  "publishedAt": "2026-10-13T09:39:43.000Z"
}
```

Reviewer names are never collected or output.

### Pricing (pay per event)

| Event | Price |
|---|---|
| Review scraped | US$2.00 per 1,000 |

The run stops exactly at `maxItems` or at your spending limit.

### FAQ

**Does it need a G2 account or API key?** No.

**Why only 25 reviews per product?** That is all G2 exposes to non-browser clients. Schedule the Actor daily and keep the history yourself.

**Can I scrape categories or product details?** Not with this Actor; G2 protects those pages.

### En español

Obtiene las últimas reseñas (hasta 25 por producto) de cualquier producto de software en G2: calificación, título, lo que gusta y no gusta, problemas que resuelve, rol, industria y tamaño de empresa. Ideal para monitorear reseñas nuevas con una ejecución programada. No incluye nombres de reseñadores. US$2,00 por 1.000 reseñas.

# Actor input Schema

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

G2 product URLs (https://www.g2.com/products/notion/reviews), slugs (notion) or product names (HubSpot Sales Hub).

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

G2's public feed holds the 25 most recent reviews of each product, so 25 is the maximum.

## `maxItems` (type: `integer`):

Hard limit on the number of reviews of the whole run.

## `reviewsNewerThan` (type: `string`):

Date YYYY-MM-DD. Only reviews published on or after this date.

## `ratings` (type: `array`):

Only reviews with these star ratings (a 4.5 review counts as 5 stars). Empty = all.

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

Datacenter proxy by default; the Actor automatically falls back to residential IPs if G2 blocks the requests.

## Actor input object example

```json
{
  "products": [
    "slack",
    "notion"
  ],
  "maxReviewsPerProduct": 25,
  "maxItems": 50,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

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

All reviews collected during the run

# 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",
        "notion"
    ],
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("fabrikit/g2-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",
        "notion",
    ],
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("fabrikit/g2-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",
    "notion"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call fabrikit/g2-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,fabrikit/g2-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/eb5LAbRGBfJ53klHB/builds/tF5ptzdgvZDkLHgza/openapi.json