# G2 Review Scraper (`moving_beacon-owner1/g2-review-scraper`) Actor

Scrapes software reviews from G2.com for one or more products, capturing ratings, review dates, reviewer roles, industries, company sizes, pros, cons, problems solved, review text, and review URLs for market research and competitive analysis.

- **URL**: https://apify.com/moving\_beacon-owner1/g2-review-scraper.md
- **Developed by:** [Jamshaid Arif](https://apify.com/moving_beacon-owner1) (community)
- **Categories:**
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $9.99 / 1,000 results

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 Review Scraper

Collects customer reviews for software products listed on G2.com. Give it one or more G2 products and you get one flat record per review: the headline, the star rating, when it was written, who wrote it (role, industry, company size), and the three structured answers G2 asks every reviewer — what they like best, what they dislike, and what problems the product solves for them.

### Input

| Field | Default | Description |
| --- | --- | --- |
| `products` | `["slack"]` | G2 products to collect reviews for. Each entry is a product slug (e.g. `slack`, `hubspot-sales-hub`) or a full G2 product URL. |
| `max_results` | `25` | Maximum review records to return in total across all products (1–1000). |
| `min_rating` | `0` | Keep only reviews rated at or above this number of stars. `0` keeps every review. |
| `proxyConfiguration` | Optional | Enable a US-based proxy for the most reliable results. |

### Output

Each result is one review:

```json
{
    "product_slug": "slack",
    "product_name": "Slack",
    "product_url": "https://www.g2.com/products/slack/reviews",
    "review_id": "13345902",
    "review_url": "https://www.g2.com/products/slack/reviews/slack-review-13345902",
    "review_title": "Time-Saving Huddles and Integrations, But Notification Noise Takes Tuning",
    "rating": 3.5,
    "submitted_at": "2026-08-22T16:21:43+00:00",
    "reviewer_name": "Verified User",
    "reviewer_role": "User",
    "reviewer_industry": "Information Technology and Services",
    "company_size": "501-1,000 employees",
    "pros": "What i love about slack is how it saves time with quick huddles, canvas, lists. Automated channels integrated with different tools are the most helpful.",
    "cons": "Nothing much, just channel noise is real. Have to constantly tune notifications.",
    "problems_solved": "Slack AI's recap feature on our biggest channel is decent for catching up without reading 300 messages.",
    "review_text": "What i love about slack is how it saves time with quick huddles...",
    "raw": { ... }
}
```

### Notes

- Runs with empty input (defaults to the latest Slack reviews).
- Enable a US-based proxy for the most reliable results.
- Add several products to `products` to build a comparison set in a single run.
- Intended for market research and competitive analysis; please respect G2's terms of service.

# Actor input Schema

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

G2 products to collect reviews for. Each entry is a G2 product slug (e.g. 'slack', 'hubspot-sales-hub') or a full G2 product URL such as https://www.g2.com/products/notion/reviews.

## `max_results` (type: `integer`):

Maximum number of review records to return in total across all products.

## `min_rating` (type: `integer`):

Keep only reviews rated at or above this number of stars. Leave at 0 to keep every review.

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

Proxy settings for the run. Enable a US-based proxy for the most reliable results, especially for sites that limit non-US or datacenter traffic. Optional — leave off to run directly.

## Actor input object example

```json
{
  "products": [
    "slack",
    "notion"
  ],
  "max_results": 25,
  "min_rating": 0,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `results` (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 = {
    "products": [
        "slack",
        "notion"
    ],
    "max_results": 25,
    "min_rating": 0,
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("moving_beacon-owner1/g2-review-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",
    ],
    "max_results": 25,
    "min_rating": 0,
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("moving_beacon-owner1/g2-review-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"
  ],
  "max_results": 25,
  "min_rating": 0,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call moving_beacon-owner1/g2-review-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,moving_beacon-owner1/g2-review-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/wMOFREb97t6Q8EKHU/builds/JdzKtRT4OD5GNqJgt/openapi.json