# G2 Reviews Scraper Goat (`goat255/g2-reviews-scraper`) Actor

Scrape software reviews for any product on G2 without a login. Returns reviewer, role, company size, star rating, what they liked, what they disliked, and the problems the product solved, with a permalink and publish date for each review.

- **URL**: https://apify.com/goat255/g2-reviews-scraper.md
- **Developed by:** [Goutam Soni](https://apify.com/goat255) (community)
- **Categories:** Lead generation, Developer tools, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 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/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

## G2 Reviews Scraper

Extract software reviews for any product on G2 without a login or API key. Give it one or more product slugs or product review URLs and get back structured reviews: who wrote the review, their role and company size, the star rating, what they liked best, what they disliked, the problems the product solved for them, plus a permalink and publish date.

### What it does

- **Reviews by product** - pass a product slug (like `slack`) or a full product review URL and the scraper returns the product's reviews as clean structured records.
- **Structured fields** - each review is split into reviewer identity, role, company size, star rating, and the standard liked / disliked / problems-solved sections rather than one blob of text.
- **Many products at once** - pass a list of products and they are processed in parallel.
- **Clean output** - every field is always present, ready to load into a sheet, database, or analysis pipeline.

### Input

| Field | Type | Description |
|---|---|---|
| `products` | array | Product slugs or product review URLs. Example: `acme-crm`, or `https://www.g2.com/products/acme-crm/reviews`. |
| `maxReviewsPerProduct` | integer | Cap on reviews returned per product. Default 25. |
| `concurrency` | integer | Products processed in parallel. Default 5. |
| `proxyConfig` | object | Apify proxy. RESIDENTIAL is the default and recommended. |

At least one entry in `products` is required.

#### How to find a product slug

The slug is the name in the product URL. For `https://www.g2.com/products/acme-crm/reviews` the slug is `acme-crm`. You can paste the full URL or just the slug.

#### Example input

```json
{
  "products": ["acme-crm", "https://www.g2.com/products/example-app/reviews"],
  "maxReviewsPerProduct": 25,
  "concurrency": 3
}
```

### Output

Each item is a single review tagged with a `type` of `review`.

```json
{
  "type": "review",
  "id": "12345678",
  "product": "Acme CRM",
  "productSlug": "acme-crm",
  "title": "Great fit for a growing sales team",
  "reviewer": "Jane D",
  "reviewerIndustry": null,
  "reviewerRole": "Administrator",
  "companySize": "51-200 employees",
  "rating": 4.5,
  "likedBest": "The pipeline view is easy to read and the automations save a lot of time.",
  "disliked": "Reporting could be more flexible for custom fields.",
  "problemsSolved": "It keeps our whole team aligned on deal stages and follow-ups.",
  "answers": [
    { "question": "What do you like best about Acme CRM?", "answer": "The pipeline view is easy to read and the automations save a lot of time." },
    { "question": "What do you dislike about Acme CRM?", "answer": "Reporting could be more flexible for custom fields." },
    { "question": "What problems is Acme CRM solving and how is that benefiting you?", "answer": "It keeps our whole team aligned on deal stages and follow-ups." }
  ],
  "url": "https://www.g2.com/products/acme-crm/reviews/acme-crm-review-12345678",
  "publishedAt": "2026-06-15T18:04:40.000Z",
  "scrapedAt": "2026-06-17T09:00:00.000Z"
}
```

Every field is always present. Unknown values are `null`. When a reviewer chose to stay anonymous, `reviewer` is `null` and `reviewerIndustry` carries their industry instead.

### Use cases

- Monitor what customers say about a product on a schedule.
- Build a dataset of reviews for sentiment analysis or research.
- Track the liked and disliked themes for products in your market.
- Pull recent reviews into a sheet for the team to read.

### Notes

- A run uses the Apify proxy you select. RESIDENTIAL gives the most reliable results.
- If a product is temporarily unavailable, the item is returned with a generic status (`upstream_unavailable`, `upstream_rate_limit`, or `not_found`) so a single failure never stops the run.
- The number of reviews available per product in a single run is bounded by the most recent window the public source exposes.

### Privacy

To improve our actors we collect anonymized usage telemetry (run stats and input patterns). No personal account data is collected.

# Actor input Schema

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

Product slugs or product review URLs to scrape. A slug is the name in the product URL, for example slack from https://www.g2.com/products/slack/reviews. You can paste the full URL or just the slug.

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

Cap on how many reviews to return per product, most recent first. To gather more across a market, pass several products at once.

## `concurrency` (type: `integer`):

How many products to process in parallel. Higher is faster but puts more load on proxies.

## `proxyConfig` (type: `object`):

Apify proxy. RESIDENTIAL is the default and recommended option for the most reliable results.

## Actor input object example

```json
{
  "products": [
    "slack"
  ],
  "maxReviewsPerProduct": 25,
  "concurrency": 5,
  "proxyConfig": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

## `reviews` (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"
    ],
    "proxyConfig": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("goat255/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"],
    "proxyConfig": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("goat255/g2-reviews-scraper").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": [
    "slack"
  ],
  "proxyConfig": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call goat255/g2-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=goat255/g2-reviews-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/84AviGxJ8CdWYJUYy/builds/FSL9EnrBXDB6NzOnc/openapi.json