# G2 Reviews Scraper 2026 (`devcake/g2-reviews`) Actor
Save hours of software research. Extract G2 reviews with ratings, company details, and verified feedback — all in one place so you can compare options faster.
- **URL**: https://apify.com/devcake/g2-reviews.md
- **Developed by:** [devcake](https://apify.com/devcake) (community)
- **Categories:** Automation, Developer tools, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $4.00 / 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.
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 a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use 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 verified G2 reviews — software ratings, user opinions, and customer feedback from G2.com. Find and compare software reviews to make better decisions.
---
### 🔍 What It Does
This scraper pulls customer reviews from G2.com. Enter any software name and extract hundreds of real user reviews with ratings, opinions, and details about what people like and dislike about each product.
---
### 👥 Who It's For
- **People researching software** — Compare G2 reviews before buying
- **Business owners** — See what teams think of tools you're considering
- **Marketers** — Gather verified testimonials and customer feedback
- **Product researchers** — Understand what users want from software
---
### 📋 Data You Get
| Field | What It Means |
|-------|---------------|
| ⭐ Star rating | Overall score from 1 to 5 stars |
| 📌 Review title | Brief summary of the review |
| 📄 Full review | What the user said in their own words |
| 👤 Reviewer name | Who wrote the review |
| 🏢 Company size | Small business, mid-market, or enterprise |
| 📅 When posted | Date the review was published |
| ✓ Verified buyer | Confirmed G2 user (yes/no) |
| 👍 What they like | Positive points from the reviewer |
| 👎 What they dislike | Negative points from the reviewer |
---
### 💡 What You Can Do
#### ⚔️ Compare Software Reviews
See side-by-side what users say about tools like Jira vs Confluence, Slack vs Teams, or any other competitors on G2.com.
#### 🛒 Research Before Buying
Extract real feedback from verified G2 users who actually used the product — not marketing claims.
#### 🔎 Find Common Complaints
Scrape G2 reviews to spot recurring issues across many reviews and understand a product's weaknesses.
#### 📢 Collect Testimonials
Find positive G2 reviews you can use as customer quotes or case study material.
---
### 🚀 Quick Start
1. **Add product names** — Enter software names like "jira" or "slack" (separate multiple with commas)
2. **Choose how many pages** — More pages means more G2 reviews extracted (default: 10)
3. **Run the scraper** — Start and wait a few minutes
4. **Get your results** — Download as a simple spreadsheet or JSON file
---
### ⚙️ Settings
| Setting | Required | Default | What It Does |
|---------|----------|---------|--------------|
| Products | Yes | — | Software name or G2 URL (e.g., jira, slack) |
| Max pages | No | 10 | How many pages of G2 reviews to scrape |
| Speed | No | Normal | Faster = quicker results but more likely to get blocked |
| Wait time | No | 30 sec | How long to wait for slow connections |
---
### 📝 Example
**Input:**
````
Products: jira, slack
Pages: 2
````
**Output:**
```json
{
"product": "jira",
"rating": 4,
"title": "Powerful but takes time to learn",
"review": "We've been using Jira for 2 years. Great for tracking large projects but the learning curve is steep...",
"reviewer": "Michael R.",
"company": "200 employees",
"date": "November 2024",
"verified": true,
"pros": "Powerful features, great integrations",
"cons": "Steep learning curve, slow at times"
}
````
***
### ✅ Tips
- **Start small** — Scrape 5 pages first to check the review quality
- **Verified reviews only** — Filter for "verified: true" to get only confirmed G2 user reviews
- **Recent reviews** — Newer G2 reviews give you the most accurate picture
- **Multiple products** — Extract and compare 2-3 similar tools at once for better research
# Actor input Schema
## `queries` (type: `array`):
One G2 product slug per row. Find the slug in any product URL: https://www.g2.com/products/\/reviews. Example: jira, shopify, slack.
## `maxReviews` (type: `integer`):
Maximum number of unique reviews to collect for each product (20–100). Stops earlier on repeated pages or captcha. Residential proxy cost scales with this value — keep it low for test runs.
## `proxyConfiguration` (type: `object`):
Apify Proxy configuration. G2.com is DataDome-protected and blocks datacenter IPs — RESIDENTIAL + US is the default and required for most runs.
## Actor input object example
```json
{
"queries": [
"jira",
"shopify"
],
"maxReviews": 20,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
],
"apifyProxyCountryCode": "US"
}
}
```
# Actor output Schema
## `dataset` (type: `string`):
Complete dataset of all scraped reviews in JSONL format. Each item is a JSON object with all review fields.
## `validated` (type: `string`):
Subview containing only reviews where is\_validated=true (the user marked the review as a confirmed G2 reviewer).
## `summary` (type: `string`):
Run statistics: total reviews, pages scraped, runtime, and any errors.
# 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"queries": [
"jira",
"shopify"
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("devcake/g2-reviews").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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = { "queries": [
"jira",
"shopify",
] }
# Run the Actor and wait for it to finish
run = client.actor("devcake/g2-reviews").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 '{
"queries": [
"jira",
"shopify"
]
}' |
apify call devcake/g2-reviews --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=devcake/g2-reviews",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "G2 Reviews Scraper 2026",
"description": "Save hours of software research. Extract G2 reviews with ratings, company details, and verified feedback — all in one place so you can compare options faster.",
"version": "1.0",
"x-build-id": "o7doZHNxFTbmHoGFs"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/devcake~g2-reviews/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-devcake-g2-reviews",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/devcake~g2-reviews/runs": {
"post": {
"operationId": "runs-sync-devcake-g2-reviews",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/devcake~g2-reviews/run-sync": {
"post": {
"operationId": "run-sync-devcake-g2-reviews",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"required": [
"queries"
],
"properties": {
"queries": {
"title": "Product slugs",
"minItems": 1,
"type": "array",
"description": "One G2 product slug per row. Find the slug in any product URL: https://www.g2.com/products/<slug>/reviews. Example: jira, shopify, slack.",
"items": {
"type": "string"
}
},
"maxReviews": {
"title": "Max reviews per product",
"minimum": 20,
"maximum": 100,
"type": "integer",
"description": "Maximum number of unique reviews to collect for each product (20–100). Stops earlier on repeated pages or captcha. Residential proxy cost scales with this value — keep it low for test runs.",
"default": 20
},
"proxyConfiguration": {
"title": "Proxy configuration",
"type": "object",
"description": "Apify Proxy configuration. G2.com is DataDome-protected and blocks datacenter IPs — RESIDENTIAL + US is the default and required for most runs.",
"default": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
],
"apifyProxyCountryCode": "US"
}
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```